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Stop Writing for Robots: How to Create Content AI and Humans Will Love

Avinash Tripathi — Sat, 12 Jul 2025 15:05:42 +0000

Stop Writing for Robots: How to Create Content AI and Humans Will Love

EP#15 Generative Engine Optimization Podcast |Quality Content in an AI World: Stop Writing for Robots

Conquer AI Search With AI

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🎙️ Conquer AI Search – Episode 15: Quality Content in an AI World

0:00 – Intro

0:36 – Why quality content matters

1:35 – EEAT & trust signals

3:00 – HubSpot’s content strategy

5:15 – Writing for LLMs (ChatGPT etc.)

6:30 – Using AI tools smartly

7:30 – Transparency & updates

9:00 – Technical AI optimization

13:50 – Getting into AI recommendations

15:40 – Content metrics in the AI era

18:45 – SEO is evolving, not dead

20:40 – Final advice: Be human

Stop Writing for Robots: How to Create Content AI and Humans Will Love

Let’s be honest for a second.
For years, we’ve been told to write “quality content.” But no one really explained what that meant.

And now? Just when we thought we figured it out — boom — AI enters the chat.
ChatGPT, Perplexity, Google’s AI Overviews… Suddenly, search doesn’t work the way it used to. And neither does content.

In this episode of Conquer AI Search, Katherine and the AI Monitor team break down what quality content actually looks like now, in the age of AI. Spoiler: It’s not about tricking algorithms. It’s about showing up with real value, real insight, and real personality.

Let’s unpack it.

So... What Even Is Quality Content Anymore?

Here’s the heart of it:
Good content today needs to do two things: help your audience and help your business. That hasn’t changed.

What has changed is how content gets found. AI tools are starting to behave more like your favorite librarian — not just listing titles, but recommending what’s truly helpful.

So, your content needs to be:

Clear
Genuine
Deep
Human

Forget keyword stuffing. This is about becoming the answer, not just another link.

Let’s Talk EEAT: The Content Credibility Formula

EEAT stands for:

Experience
Expertise
Authoritativeness
Trustworthiness

It’s not just Google’s thing anymore. AI tools now use similar signals to figure out if your content is worth showing.

So, if you’re a real expert, show it.
Have experience? Tell the story.
Have credentials? Put them on the page.

People (and AIs) want to know they can trust you.

Topic Clusters > Random Keywords

Old SEO advice: “Target long-tail keywords!”

New GEO advice: “Become the go-to authority on a specific topic.”

HubSpot crushed this by literally deleting popular posts that didn’t fit their core focus. Like a viral post about how to type the shrug emoji 🙃. Gone. Why? Because it didn’t help their authority in sales, marketing, or service.

Takeaway: Prune ruthlessly. Own your niche.

Topic Clusters > Random Keywords

You don’t need to “dumb down” your ideas, but you do need to ditch jargon.
If you must use a complex term, define it immediately. Use examples. Make it sound like you’re explaining it to your smart-but-not-nerdy friend over coffee.

Pro tip: If your content sounds like a robot wrote it… the AI probably won’t trust it.

AI Can’t Replace You — So Stop Writing Like It

Here’s the truth: AI can write blog posts. But it can’t feel. It doesn’t have your perspective, your voice, your lived experiences.

That’s your unfair advantage.

One of HubSpot’s wildest experiments? Adding personal stories to their posts boosted clickthroughs by 724%.
Real voice. Real stories. Real results.

You’re Not Just Writing for Google Anymore

Here’s something wild:
2 out of 3 LLM users now treat tools like ChatGPT as search engines.

Which means:

Your content might show up in AI-generated answers
YouTube videos can now appear in ChatGPT search
The “timing” of your content matters more than ever

Lesson: Don’t just “publish.” Publish smart. Be early. Go deep. Choose platforms AI trusts (like YouTube, Reddit, or Substack).

Do You Know What ChatGPT is Saying about Your Brand?

Don’t wait for a crisis. Proactively manage your brand’s reputation in the age of AI. To learn what AI is saying about you, book 1:1 Meeting with the #1 GEO Expert in the world.

Use AI as Your Sidekick, Not Your Ghostwriter

Yes, use GPT to brainstorm.
Yes, use tools to speed things up.
But don’t hand over the whole keyboard.

Great content still needs you — your thinking, your judgment, your style. Think of AI like a writing partner, not a content vending machine.

If your blog sounds like it came from a robot, people (and AI) will notice.

Do Your Own Research (Literally)

Want to stand out?
Bring something new to the table. Run surveys. Share internal data. Interview customers. Even a single original insight can set your content apart.

Why? Because original research = credibility gold. People link to it. AI surfaces it. And your brand becomes the source, not the echo.

Radical Transparency Wins

One of the boldest moves? HubSpot’s team openly blogged about their own traffic drop.
Not only did it build massive trust, it became one of their top-performing posts ever.

Lesson: People trust people who tell the truth — even the messy parts.

Don’t Sleep on Tech Stuff: Your AI Visibility Depends on It

Here’s a quick checklist to help AI understand your content:

✅ Add schema markup (especially FAQ, How-To, Video)
✅ Let GPT-bot and other AI crawlers access your site
✅ Show author bios and credentials
✅ Keep your internal linking clean
✅ Use sitemaps, transcripts, and timestamps
✅ Speed up your site and make it mobile-friendly

Think of it like this: If your site is a party, you want the AI bots to find the front door, read the name tags, and leave with something memorable.

Want to Show Up in AI Recommendation Lists? Here’s How:

You know when ChatGPT recommends “top tools for X”? That’s not random.

To get there, you need:

Mentions in credible forums (Reddit, LinkedIn)
Strong reviews on G2, Trustpilot, etc.
Clear messaging on your own site
Useful blog content about your space

It’s about building contextual relevance. Be known for something specific, and the AI will take note.

Track the Right Stuff

Pageviews are great, but here’s what matters more now:

Who’s visiting from AI tools
If your brand shows up in AI answers
Scroll depth + time on page
Branded search volume rising
Backlinks from AI-generated summaries
Misrepresentations (AIs getting your brand wrong — yes, that’s a thing now)

The better you track, the better you adapt.

The Bottom Line: SEO Isn’t Dead — It’s Growing Up

Yes, AI search is shaking things up. Google Overviews are real. Traffic might dip.

But this isn’t the end — it’s an evolution.

🎯 Write deeper.
🎯 Say something real.
🎯 Diversify your platforms.
🎯 Adapt for AI — don’t fear it.

In a world flooded with auto-generated content, your human voice is your biggest strength.

And that’s how you conquer AI search.

Want more insights like this?
🎧 Catch the full podcast episode on Conquer AI Search — streaming on Spotify, Apple, YouTube, and everywhere else.

Got questions? Drop them in the comments or tag us online. We’d love to keep the conversation going.

(0:05 - 0:16)
Welcome back to Conquer AI Search, your essential guide for navigating this crazy, fast-moving world of AI search. I'm Katherine and I'm here with my colleague from the AI Monitor team. Great to be here.

(0:21 - 0:36)
So we're on this mission together, right? Equipping you with the top 11 most effective generative engine optimization techniques. GEO, or you might know it as AI Optimization. We've already covered six really crucial strategies.

(0:36 - 0:48)
Things like LLMs.txt file, using Reddit, authoritative citations, evolving SEO, the importance of PR, and readability. That's right, a lot of ground covered. Exactly.

(0:49 - 1:02)
So today we're jumping into technique number seven. How to actually create quality content that AI systems recognize to boost your GEO or maybe answer engine optimization, AEO. And this isn't just, you know, ticking boxes for algorithms.

(1:02 - 1:15)
It's really about making your content genuinely valuable, especially now in this AI-first landscape. You've really hit on something key there. For like the longest time, quality content just felt like this vague buzzword, didn't it? Totally, yeah.

(1:15 - 1:35)
But now, with things like AI overviews and these generative engines really shaping search results, it actually has, you know, real concrete implications for your visibility. It's a fascinating shift, honestly. And we've pulled together some pretty powerful insights today from top content strategists, market data, recent research.

(1:35 - 1:48)
Should be good. Okay, let's unpack that then. When we say quality content now with AI in the mix, what does that actually, you know, look like? What does it mean? Well, at its heart, right, quality content always needs to do two things.

(1:48 - 1:53)
Help your audience and help your business. That hasn't changed. It could be a blog post, a video, whatever.

(1:53 - 2:06)
But specifically thinking about AI and search, and let's be honest, mostly Google's influence here, quality content is really tightly linked to their EEAT guidelines. Ah, EEAT, right. Remind us what that stands for again.

(2:06 - 2:29)
Yeah, it's experience, expertise, authoritativeness, and trustworthiness. So Google's saying very clearly they want creators who show they have firsthand experience, real expertise, or they seem as reputable, a trusted source. And fundamentally, is the page itself, you know, accurate, honest, safe, and reliable? They even have actual humans, these search quality raters who manually check websites.

(2:30 - 2:38)
Wow, okay. Yeah, it's to make sure their algorithms are actually promoting helpful, reliable, genuinely people-first content. It's a huge signal.

(2:38 - 2:44)
Write for people first. Don't just try to game the system. Okay, so it really boils down to genuine value for the human reading it.

(2:44 - 3:12)
But why is this specific focus so critical, like right now, for websites and businesses? Because without it, honestly, your site just won't pull in as much traffic, especially organic search traffic or answers that get generated by AI tools like ChatGPT. The more quality stuff you have, the more shots you have at ranking, gaining influence, and importantly, building trust with your audience. You know, a strong online presence filled with valuable content, that fosters that connection.

(3:12 - 3:20)
And I assume that connection then feeds directly into actual business goals. Oh, absolutely. Quality content, ultimately, is what drives traffic.

(3:20 - 3:26)
It generates leads. It turns prospects into customers. There's this great example of Noah Greenberg, the CEO of Stacker.

(3:27 - 3:43)
He became a HubSpot customer five years after first encountering their content, not because of a sales pitch, but because they were just consistently putting out valuable stuff. It really shows the long game aspect of content, building influence over time. That really makes sense, the long game.

(3:43 - 3:59)
Okay, so if we're looking for actionable steps, the keys to actually writing this quality content now, in the age of AI, where do we start? I know our sources pointed to some really good advice from HubSpot strategists. Yeah, this is where it gets really practical. HubSpot's approach gives a pretty clear roadmap.

(3:59 - 4:09)
One of their foundational ideas is to organize around topic clusters. Topic clusters, okay. Yeah, the whole idea of just ranking for random keywords, that's pretty much gone.

(4:10 - 4:20)
Google now heavily figures what they call topical authority. The insight is, go deep. Become the recognized authority on a specific, fairly narrow niche.

(4:20 - 4:29)
HubSpot did this. They actually split their huge blog into four separate properties, marketing, sales, service, and website. Oh, interesting.

(4:29 - 4:42)
Yeah, and each one has its own tightly defined topic clusters. They even made the pretty bold move of deleting popular content that wasn't relevant. They had this super popular post on how to type the shrug emoji.

(4:43 - 4:50)
Ha, I might've read that one. Right. But it got pruned, because it didn't align with their core expertise, even though it got traffic.

(4:50 - 4:55)
It's all about signaling to Google that they are the authority in their chosen areas. That takes discipline. It does.

(4:56 - 5:02)
And building on that authority, another huge insight is, lean into your humanity. It's your superpower. Okay, I like the sound of that.

(5:02 - 5:14)
Yeah, AI can write text, sure, but it can't feel. It doesn't have lived experiences. Your unique perspective, your stories, the authority you've built over time, that's the stuff AI just can't replicate.

(5:15 - 5:23)
It's your advantage. HubSpot writers are actually encouraged to inject personality, anecdotes. They even ran an experiment they call E-Sperience Soup.

(5:23 - 5:32)
Experience Soup. Yeah, basically focusing on weaving in personal firsthand experience. And get this, it boosted clicks by something like 724% on one test.

(5:32 - 5:39)
Wow. So while AI can maybe simulate stuff, it just can't fake that genuine human touch. That's powerful.

(5:40 - 5:53)
Makes the content feel more real, more trustworthy, too. How does this connect to how people are actually searching now? Directly ties into the next principle. Embrace the AI era by writing for LLM search, large language model search.

(5:53 - 5:57)
Right, so thinking beyond just Google. Exactly. It's not just traditional SEO anymore.

(5:57 - 6:07)
You need to think about influencing models like ChatGPT. There's an Elon University study found that two-thirds of LLM users are basically using them as search engines now. Two-thirds? Yeah.

(6:08 - 6:31)
And HubSpot noticed their SVP of marketing, Kieran Flanagan, had a YouTube video about DeepSeek suddenly appearing in ChatGPT's results. Why that video? Well, because it was early, it went deep into the topic, and importantly, it was on YouTube, which seems to be a pretty strong signal for these LLMs. It tells us that timing, depth, and where your content lives matters more than ever for getting surfaced by AI.

(6:31 - 6:36)
Timing, depth, platform. Got it. And speaking of AI.

(6:36 - 6:41)
Right. They also stressed using AI as a catalyst, not a replacement. This is key.

(6:41 - 6:54)
So how do you use it right? Well, the rule of thumb is, if AI isn't helping you create content faster or better, you're probably using it wrong. For example, Vasha Coleman at HubSpot built an AI agent. It identifies trending topics.

(6:54 - 7:09)
Turned a four-hour manual weekly task into, like, less than two minutes a day. Nice efficiency gain. AI is brilliant at compiling information, analyzing data, but that human input, that's still essential for, you know, pushing the conversation forward, offering unique takes, applying critical judgment.

(7:09 - 7:20)
So AI assists, but the human steers the ship. What about actually standing out from all the noise? There's so much content. That brings us to conducting original research.

(7:20 - 7:23)
This is a huge differentiator. Makes sense. Unique data.

(7:23 - 7:34)
Exactly. If you have unique data, maybe proprietary insights from your work, or fresh customer perspectives, you can own that space. HubSpot has a dedicated content innovation and research team.

(7:34 - 7:48)
They're constantly doing surveys for their big industry reports, like this data marketing. That original data, it doesn't just make your blog post better, it becomes lead magnets. And crucially, other authoritative sites cite it, which boosts HubSpot's own authority even more.

(7:48 - 7:57)
It's a virtuous cycle. That's smart. What else stands out in their approach? Another pretty bold strategy is, dare to give readers a peek behind the scenes.

(7:57 - 8:02)
Basically practice radical transparency. Ooh, radical transparency. Sounds risky.

(8:02 - 8:10)
It can feel that way. Few companies really commit to it. But these kinds of posts offer incredibly valuable, real tactical advice.

(8:11 - 8:22)
HubSpot's blog is kind of famous for breaking down exactly how they achieve successes step-by-step. And even their failures. Like, their CMO openly talked about a blog traffic loss on a podcast.

(8:22 - 8:30)
That conversation then became one of their most popular blog posts ever. No kidding. Yeah, because that kind of transparency builds massive trust.

(8:31 - 8:39)
It provides unique, actionable insights you just don't get anywhere else. That level of openness definitely builds credibility. Okay, so they're creating all this great content.

(8:40 - 8:51)
How do they keep it all fresh and effective? Good question. It's not just about pumping out new stuff. They actually dedicate a huge chunk of their writer's time, like 50 to 80% each month, just to updating old content.

(8:51 - 8:55)
50 to 80%. Wow. Yeah, because those older pieces, they've aged.

(8:55 - 9:10)
They've maybe already built up some authority and rank. So, refreshing them with new research, maybe some expert quotes, updated stories, it gives them a whole new lease on life. They found that these updates tend to be most effective for about six to nine months, especially in really fast-moving industries.

(9:11 - 9:17)
Interesting time frame. And what about the flip side? Content that's not working. Ah, yes, the painful part.

(9:18 - 9:23)
Prune your low performers. You know the phrase, kill your darlings in writing. It's like that.

(9:23 - 9:35)
But for content, deleting stuff that isn't performing is actually crucial for staying competitive and focusing your resources. HubSpot has apparently removed thousands of pages after doing content audits. Thousands.

(9:36 - 9:46)
Yeah, it lets them focus on the content that really aligns with their current strategy. They have a framework for it. Look at the content type, how fresh it is, its organic potential, and then decide.

(9:46 - 9:52)
Keep it, optimize it, recycle it, or prune it. Keep, optimize, recycle, prune, K-O-R-E-P. Got it.

(9:52 - 9:59)
Any final big tips from them? Yeah, two more key things. First, the obvious but essential. Keep up with SEO updates.

(10:00 - 10:13)
The search world changes constantly, so following blogs, social media, thought leaders is just non-negotiable. And second, maybe even more importantly now, diversify and unify your content channels. People aren't just reading blogs anymore, just watching YouTube.

(10:13 - 10:15)
They're everywhere. Right. Got to meet them where they are.

(10:16 - 10:27)
Exactly. HubSpot Media really leaned into unifying content across their blog, YouTube, newsletter, podcast. So maybe a YouTube video becomes a podcast episode, which then informs a blog post.

(10:27 - 10:37)
They call it the video flywheel effect. And the results were pretty stunning. One period, their YouTube views shot up 84% year over year, and leads from YouTube jumped 91%.

(10:37 - 10:48)
Shows the power of making channels work together. OK, that makes a ton of sense. Now, shifting gears slightly, beyond the content creation itself, you mentioned there's a technical side to optimizing for AI, right? And it's different from old school SEO.

(10:49 - 11:04)
That's exactly right. It's not about the traditional signals we obsessed over, like backlinks or keyword density so much. It's more about how you structure your content and how you make it visible and understandable to AI crawlers.

(11:04 - 11:18)
How so? How do these AI search engines work differently? Well, think about ChatGPT, Claude, Gemini, Perplexity, Copilot. They operate fundamentally differently than, say, Google's traditional index. They synthesize information.

(11:19 - 11:31)
They draw from these massive training data sets, but also access the web in real time. They're prioritizing things like statistical relevance, how often concepts are mentioned together in context, and just sheer clarity. It's a different way of understanding content.

(11:31 - 11:40)
OK, so technically, how do we make our content ready for that kind of understanding? All right, here's some key technical steps. First, structured data and schema markup. This is huge.

(11:40 - 11:49)
Like for recipes and stuff. Yeah, but much broader now for AI. Using schema types like how-to, FAQ page, product, article review, video object, breadcrumbs.

(11:50 - 12:04)
It basically helps AI interpret and summarize your content accurately. It's like giving the AI a labeled diagram of your page. Support content, for instance, often gets cited in AI answers because it tends to be really well structured with things like FAQs.

(12:04 - 12:11)
Makes sense. Give the AI clear labels. What else? Second, you need to explicitly weave EEAT into your site architecture.

(12:11 - 12:13)
AI can't guess. Make it obvious. Exactly.

(12:14 - 12:19)
Display author bios clearly show their credentials. Include expert commentary. Be transparent about your sources.

(12:19 - 12:25)
Have dedicated trust pages, pricing, security info, support contacts. Make the trust signals visible on the site. OK.

(12:25 - 12:43)
What about letting the AI bots in? All right. Third is managing your crawl settings and GPT-bot access. You need to make sure the relevant AI bots like GPT-bot for chat GPT, CloudBot, Google Extended for Google's AI stuff, CC-bot for Common Call can actually access your important public content.

(12:43 - 12:54)
There's this proposed LLM.txt standard, kind of like Robots.txt but for AI training. But honestly, the major models aren't really using it widely yet. So direct bot access through standard controls is still key.

(12:54 - 12:58)
Good to know. LLMs.txt isn't quite there yet. Number four.

(12:58 - 13:16)
Fourth, focus on sitemap hygiene and internal linking. A clean, up-to-date XML sitemap and a really strong internal linking structure help these Gen AI tools understand your site's topical authority. How is your content related? Grouping content into those clear topic clusters we talked about really reinforces that authority for the AI.

(13:16 - 13:19)
Right. Connecting the dots for the AI. What about video? Ah, yes.

(13:20 - 13:30)
Fifth, optimize your video SEO for AI visibility. This is increasingly important. Tools like Perplexity and Gemini are actively pulling insights, even direct citations from YouTube videos.

(13:30 - 13:37)
Need good YouTube hygiene too. Absolutely. Search-friendly titles, really detailed descriptions, full transcripts if possible, use timestamps.

(13:38 - 13:48)
All that metadata is gold for AI trying to understand video content. Okay. Anything else on the technical checklist? Yeah, a few more general but still important technical enhancements.

(13:48 - 13:53)
Basic stuff but crucial. Improve site speed. Make sure it's mobile-friendly.

(13:53 - 14:02)
Use canonical tags correctly to avoid duplicate content confusing the AI. Secure your site with HTTPS. And actually monitor your server logs.

(14:02 - 14:08)
See which AI bots are visiting, how often, what they're looking at. It gives you valuable intel. That's a solid technical list.

(14:08 - 14:40)
Now, one thing a lot of businesses want is, you know, to show up when someone asks an AI, what are the best tools for X? How do you actually get onto those kinds of AI recommendation lists? Yeah, that's the million-dollar question, isn't it? It's definitely not random chance. These AI models build those lists based on statistical patterns they find in their training data and the live web. So basically, if your brand gets mentioned frequently in the right contexts, associated with solving a particular problem and with clear value propositions, the AI starts to statistically link your brand to that solution.

(14:40 - 14:46)
So it's about the overall pattern of mentions. Pretty much. Key factors influencing this seem to be.

(14:46 - 14:59)
Forum credibility AI models really weigh community sources like Reddit heavily. So valuable non-spammy participation there matters. Then there's public social proof conversations on LinkedIn, on X, formerly Twitter.

(15:00 - 15:11)
AI ingests this public discourse. Sharing value, getting quoted, engaging in industry chats helps. Also, blog and knowledge hub authority, having your own authoritative content builds that contextual relevance.

(15:12 - 15:20)
And getting mentioned on other industry blogs. Review aggregation is huge too. AI leans heavily on platforms like G2, Captera, Trustpilot.

(15:21 - 15:31)
Encouraging detailed specific reviews there is vital. And finally, having strong category positioning on your own site. Clearly stating what you solve, who it's for, what makes you different.

(15:31 - 15:38)
Need to be crystal clear. Okay, so it's mostly about organic signals. Are there any direct ways to influence this? There are starting to be, yeah.

(15:38 - 15:46)
Perplexity, for instance, has a merchant program where you can actually submit your product catalog. Oh, interesting. And OpenAI has something called the Search Product Discovery Initiative.

(15:47 - 16:02)
It uses structured web data, remember that schema markup, for product offer review to help it suggest products. Traffic coming from these kinds of AI recommendations tends to be really high intent, often converts well. Good to know there are direct avenues opening up.

(16:02 - 16:21)
Okay, we've talked a ton about optimizing for AI, but what about flipping it? Using AI to help optimize our own content. Yes, that's a really crucial distinction and a smart way to work. You can absolutely leverage AI tools, things like Surfer, ClearScope, Jasper, or even just prompting ChatGP to your cloud directly.

(16:21 - 16:29)
How would you use them? For quality assurance, for checking structure, for doing prompt-based clarity checks. Like here's a simple test. Ask an AI tool to summarize your article.

(16:29 - 16:40)
If the summary completely misses your main point, well, your content might not be clear enough for humans or for other AIs. That's a clever trick. What about all the buzz around AI content detection? People worry about getting flagged.

(16:41 - 16:55)
Yeah, there's a lot of discussion, especially in places like Reddit communities. The general consensus seems to be don't just ask the AI to write me an essay on X. That often leads to generic detectable output. So what's the better approach? Use AI more strategically.

(16:56 - 17:22)
Ask it to generate outlines, brainstorm ideas, maybe even help you spot AI-sounding patterns in your own writing that you can then smooth out. AI detectors often look for things like repetitive sentence structures, overuse of certain connector words, a lack of stylistic variation, maybe language that's just too formal or bland. The trick is to consciously infuse human variability, maybe some slight imperfections, your unique voice.

(17:23 - 17:33)
You can even prompt an AI like rewrite this section in the style of a specific human author to try and make it sound less robotic. Interesting. So use AI as a writing partner, not a ghostwriter.

(17:34 - 17:41)
Okay, with all these changes, how do we even measure success? The old metrics might not cut it. You're absolutely right. Traditional metrics alone are definitely inadequate now.

(17:41 - 17:51)
You need to start monitoring a wider range of things. Like what? Okay, so referral traffic directly from AI tools. Conversions you can attribute to AI.

(17:51 - 18:00)
This might be tricky, but maybe using how did you hear about us. Fields on forms or setting up specific tracking if possible. Watch your branded search volume.

(18:00 - 18:11)
If more people start searching directly for your brand name, it could be because they were first introduced by an AI. It's like this inverse customer journey AI introduces, Google validates. The inverse journey.

(18:12 - 18:22)
And obviously track your appearance in AI overviews and gen AI results. You need to be regularly testing relevant prompts and seeing if you show up. Also look for backlinks from AI surface content.

(18:22 - 18:30)
Some tools generate live links. Monitor your content gap resolution. Are you closing the gaps where AI isn't finding you? Proactively do misrepresentation monitoring.

(18:30 - 18:43)
If an AI starts hallucinating or saying incorrect things about your brand, you might need to publish correction pages. Yeah, that's a new one, misrepresentation monitoring. And finally, don't forget basic engagement signals on the content you're optimizing for AI.

(18:43 - 18:53)
Time on page, bounce rate, scroll depth. These still matter to understand if the content is actually resonating. Okay, that's a much broader set of metrics to track.

(18:53 - 19:05)
So bringing it all together, what does this actually mean big picture? We keep seeing headlines, you know, SEO is dead, isn't... Huh, yeah, not really. Mostly clickbait designed to grab attention. Fangered as much.

(19:05 - 19:14)
What it really means is that SEO is fundamentally evolving. Look at Google's AI overviews. Yes, they've caused some significant dips in organic traffic for certain sites.

(19:14 - 19:23)
Conductor saw drops up to 60% on some pages, like 25% fewer sessions for informational content month over month. That's real. Wow, 60% is huge.

(19:24 - 19:34)
It is. But interestingly, conversions often aren't hit quite as hard, which kind of suggests that maybe some of that previous traffic wasn't super valuable or high intent anyway. So less quantity, maybe better quality traffic.

(19:34 - 19:52)
Potentially. The absolute key is adaptation. You need to improve your SEO strategy, maybe by prioritizing branded searches more, creating unique content types that AI struggles to replicate, like in-depth reviews, detailed competitor comparisons, really good support documentation, maybe interactive online tools.

(19:53 - 19:59)
Refine your content strategy itself. Focus more on how and why questions. Leverage your unique first-party data.

(19:59 - 20:07)
Don't be afraid to have strong, well-supported opinions. And critically, critically, diversify your channel mix. Don't put all your eggs in the Google basket.

(20:07 - 20:18)
Think PR and newsletters, maybe other search engines, definitely social media, paid ads. Authenticity is going to be paramount, especially in the social platforms getting flooded with generic AI content. You need to stand out.

(20:19 - 20:28)
So the landscape is definitely shifting, shaking things up, but it sounds less like a death knell and more like a strong call to evolve, to adapt. Exactly. It's the perfect way to put it.

(20:28 - 20:38)
AI search optimization isn't killing traditional SEO. It's expanding it, adding new layers. You know, those final words of advice from the HubSpot strategist really resonate here.

(20:39 - 20:58)
Quality content, fundamentally, will always be about serving your audience well. And in this AI-driven world, your humanity, your unique perspective, that matters more than ever, AI has changed the game for sure, but your unique viewpoint, that really is your superpower now. That's a great place to leave it.

(20:59 - 21:11)
That wraps up today's episode of Conquer AI Search. Thanks so much for tuning in. If you enjoyed the conversation, make sure to follow or subscribe wherever you're listening, whether that's Spotify, Apple Podcasts, Audible, Amazon Music, or right here on YouTube.

(21:11 - 21:22)
And hey, if you got some real value out of this episode, maybe consider leaving us a rating or a review. It genuinely helps us reach more listeners like you. See you next Saturday with our eighth AI optimization or generative engine optimization technique.

The post Stop Writing for Robots: How to Create Content AI and Humans Will Love appeared first on AI Monitor | Get Your Brand Recommended by ChatGPT & Google AI Overview.

What is Generative Engine Optimization?

Avinash Tripathi — Tue, 08 Jul 2025 14:26:14 +0000

What is Generative Engine Optimization?

Table of Contents

1. Marketers Can't Deny: The Search Landscape is Changing

Generative AI powered search platforms are creating a new reality where users get information without ever leaving the results page. This "zero-click" trend is fundamentally altering the value of traditional website traffic.

Rise of Zero-Click Searches

70%

Projected percentage of Google searches that will be "zero-click" by 2025.

Search Engine Land Report

CTR for #1 Spot Plummets

-34.5%

Average drop in click-through rate for the #1 organic result when an AI Overview is present.

Ahrefs Report

Competitive Advantage

+40%

Early GEO adopters see up to 40% higher visibility in AI responses through strategic optimization.

Writesonic Report

AI Lead Conversion

4.4x

Leads from AI-generated recommendations convert up to 4.4x better than those from traditional search.

AI Monitor Report

2. What are Generative Engines?

Generative Engines? Sounds intense, right? Let’s cut through the noise and break it down.

2.1 Defining Generative Engines?

The way we search for information has been changed by generative engines such as Perplexity, Google’s AI Overview, and ChatGPT. Rather than merely providing you with a list of links, these tools use real-time online data and their profound linguistic knowledge to provide concise, straightforward responses that are nearly identical to an expert’s explanation.

Consider them a hybrid of a search engine and an AI helper. They offer you the information up front rather than just directing you in the wrong direction. Generative Engine Optimization (GEO) is a solution for this. For your material to appear in these AI-powered results, it must be reliable, organized, and in line with user inquiries. GEO, in summary, makes sure that your material doesn’t just exist. It gets seen, cited, and trusted by AI.

2.2 How Generative Engines Work?

Large Language Models (LLMs), which are trained on an enormous amount of books, papers, webpages, and other online information, are the foundation of AI-driven search.1 Through intensive training, LLMs can acquire complex grammatical, contextual, and tonal patterns that enable them to successfully synthesize information and generate responses that resemble those of humans.1 One of these features relies heavily on Natural Language Processing (NLP), which enables these models to understand the context and intent of a user’s inquiry. This allows them to grasp the subtleties of language and provide accurate and pertinent responses. By analyzing full sentences as opposed to individual keywords, advanced natural language processing (NLP) systems like Google’s BERT greatly reduce uncertainties in query interpretation.1

Search engines rely heavily on machine learning to determine what we’re looking for. These algorithms excel at identifying trends in data and can determine whether a user is only seeking information, is prepared to make a purchase, or is attempting to locate a certain website. Advanced methods like supervised and deep learning are used by tools like BERT and GPT to classify these intents with surprisingly high accuracy .1 However, it doesn’t end there. Even if a user hasn’t said what they require directly, AI can infer from previous search activity what they might need.13 Even if we didn’t phrase our inquiry precisely, this type of predictive modeling helps search engines grasp the meaning behind our words, not just the keywords, and beneficial return results.16

Retrieval-Augmented Gen, or RAG for short, is another exciting development. Before formulating a response, it enables AI models to import new, pertinent data from other sources, such as live databases or corporate papers. 15 This helps prevent the common issue of AI occasionally producing inaccurate or out-of-date responses. 18 The way RAG operates is by converting documents into searchable formats, selecting the most pertinent ones, and then feeding that information into the model to provide a more precise, contextually aware response.18

Generative AI tools aren’t built to just stay the same. They’re always learning, constantly updating with new information, which helps them get better at giving more accurate answers as time goes on.¹ This kind of continuous learning lets the system adjust on the fly instead of needing to be retrained from scratch. That said, it’s not perfect. Sometimes, newer data can mess with older understanding of a problem known as “catastrophic forgetting.” Other times, changes in the outside world (what researchers call “distribution shift”) make things harder to keep up with.¹⁹A big part of why these systems are getting smarter is something called a Knowledge Graph. Think of it like a map that shows how different topics or ideas are related to each other. These graphs help AI connect the dots, so answers feel more natural and meaningful.¹⁵There’s also another piece under the hood: embeddings. Basically, they turn language into numbers, kind of like a translation, so machines can compare concepts based on meaning, not just matching words.¹⁷ When you search, the AI looks for the closest match in meaning by comparing these number sets (called vectors). And then there’s prompt engineering, the skill of writing good instructions for the AI. It means giving the model clear context, maybe a format to follow, or rules to stick to, so it gives back something more useful.¹⁷Many newer systems use a mix of approaches. They might start with a fast keyword search to pull relevant stuff, then let the AI figure out the deeper meaning.¹⁷ That combo gives you quick results, but also smarter ones a solid balance of speed and depth.

The rise of direct AI-generated answers and zero-click searches isn’t just a coincidence; it’s the result of how advanced AI search has become. With technologies like natural language processing (NLP), Retrieval-Augmented Generation (RAG), continual learning, and semantic understanding working behind the scenes, AI systems can now deliver detailed, contextual responses right on the search results page. This shift has had a clear impact: users are increasingly getting what they need without clicking through to a website, leading to a noticeable drop in organic click-through rates. That’s because large language models (LLMs), powered by NLP, can interpret user intent with impressive accuracy, and when paired with RAG, they can pull in fresh, real-time data to build complete answers on the spot. As these systems continue to learn and evolve, their ability to satisfy search intent directly within the SERP will only improve. The result? Traditional SEO strategies that rely on driving traffic through clicks are becoming less effective. This direct link between AI-generated answers and the decline in organic traffic underscores why businesses now need to rethink visibility and start investing in Generative Engine Optimization (GEO) instead.¹

Document

3. How Generative Engines Work

A visual flowchart explaining the core components and processes of AI-driven search, from user query to the rise of Generative Engine Optimization.

User Query

The process begins when a user enters a search query.

Core AI Processing

1. Natural Language Processing (NLP)

Empowers models to comprehend context and intent, analyzing entire sentences (e.g., Google's BERT) to reduce ambiguity.

2. Machine Learning (ML)

Recognizes patterns to categorize query intent (informational, transactional) and uses predictive modeling to anticipate user needs.

Semantic Understanding

The result of NLP & ML. The engine moves beyond keywords to interpret the deeper meaning and intent of the query.

Response Generation Stage

Retrieval-Augmented Generation (RAG)

Enhances LLMs with external, real-time data.

Index external data into vector embeddings.
Retrieve relevant documents based on query.
Augment the prompt with retrieved info.

Large Language Model (LLM)

The core engine, trained on vast datasets. It uses the augmented prompt to synthesize a human-like, comprehensive response.

Guided by: Prompt Engineering (crafting clear instructions).

Knowledge Graphs

Digital structures representing concepts and relationships to enhance semantic search.

Embedding & Similarity Search

Text is converted to numerical vectors (embeddings), which are compared to find conceptually relevant matches.

Hybrid Approaches

Combines traditional keyword search (for broad filtering) with LLM-based methods (for refinement).

Final Output: Direct AI-Generated Answer

The user receives a comprehensive, synthesized answer directly on the search engine results page (SERP).

Impact & Consequence

📉

Rise of Zero-Click Searches

Users get answers without clicking on organic results, causing a decline in click-through rates.

🚀

Need for a New Strategy

Traditional SEO is undermined, creating an urgent need for Generative Engine Optimization (GEO).

The landscape of Generative Engines is populated by a diverse array of platforms, each with unique features and approaches to information discovery.

3.1 ChatGPT:

ChatGPT has become a major force in how people discover content online, especially for educational and tech-related sites. By November 2024, it had referred traffic to over 30,000 unique domains.²¹ Unlike traditional search, where queries average just 4.2 words, users engage with ChatGPT in full sentences or even paragraphs, with the average prompt hitting around 23 words.²¹Its information retrieval runs on a hybrid system: about 54% of prompts are answered using its internal knowledge base, while the remaining 46% tap into real-time web search (when SearchGPT is enabled).²¹There are also clear demographic differences. ChatGPT’s audience skews younger and more male compared to Google’s broader, more evenly split user base.²¹User intent varies based on whether SearchGPT is active. Without it, prompts tend to focus on purely informational questions, deep dives, how-tos, or conceptual explanations. When SearchGPT is turned on, the range expands to include navigational, commercial, and transactional queries, much more in line with what you’d see on Google. Still, a large chunk of prompts defy easy classification and fall into the “unknown intent” category, likely due to the model’s role in helping users solve complex, multi-layered problems.²²

3.2 Perplexity AI

Perplexity isn’t just another AI tool; it’s built for real-world questions that need solid, trustworthy answers.²³ It searches the live web in real time and gives you direct responses, complete with sources you can actually check.²³ That last part matters especially when you’re dealing with research or business decisions. One thing that sets it apart is how it handles follow-up questions. You don’t have to start from scratch every time it remembers the context, so the flow feels more like a chat with someone who’s actually paying attention.²³You can even narrow your results using “Focus Modes,” which let you search within specific types of content say, academic papers or social media posts depending on what you’re after.²³ That makes it especially useful for students who need credible sources fast, or professionals trying to make sense of a big report or industry trend.²⁴Behind the scenes, Perplexity uses a mix of smart tech: it interprets your question using natural language processing, pulls in fresh data from the web, and runs it through machine learning to deliver an answer — citations and all.²⁴

3.3 Google AI Overview:

Google’s latest AI-powered search experience, called Gemini, takes what Bard started and pushes it further by weaving AI-generated answers right into the search results.⁵ The goal? To make search smarter and more personal by better grasping the meaning and context behind what people are asking.⁵Gemini also supports more natural conversations, users can ask follow-up questions, refine their queries on the fly, and the system keeps up.⁵ One of the standout features is its multimodal search, which means you’re not limited to just typing; you can use images, videos, and even audio as part of your search.⁵In places like India, Gemini’s “AI Mode” gets even more advanced. It uses something called “query fan-out,” where it breaks a complex question into smaller parts and runs multiple searches at once all powered by a custom version of Gemini 2.5.²⁵What’s really changing the game, though, is how AI Overviews (AIO) powered by Gemini are starting to dominate the top of the search results.⁵ Instead of clicking through multiple links, users are often getting the answer right there on the page. And while that’s great for convenience, it’s also leading to fewer clicks on traditional organic search results.

3.4 Microsoft Copilot:

Microsoft 365 Copilot takes a big leap forward in how search works inside organizations. At its core is something called semantic indexing, which basically means it builds a smarter map of your data one that understands meaning, not just keywords.²⁶It taps into Microsoft Graph to figure out how different pieces of information are connected, so when you search for something, it’s pulling results based on actual context, not just matching words.²⁶ What’s also helpful is that Copilot isn’t limited to Microsoft files. Thanks to connectors, it can pull in data from other platforms too, whether that data lives in the cloud or on your company’s servers.²⁶Behind the scenes, this works by turning information into vectors, kind of like coordinates for ideas, which lets the system group together similar concepts.²⁶ So even if you’re not using the exact words, Copilot can still understand what you mean and serve up relevant results. It’s a big shift from traditional search, and it opens the door to asking broader, more natural questions.

3.5 DeepSeek AI:

DeepSeek is an inference-based large language model designed to understand a user’s actual needs and context, without requiring detailed, step-by-step instructions or rigid prompt templates.²⁸ Its architecture features a Mixture of Experts (MoE) design, which smartly activates only the sub-networks needed for a given query, making it more efficient.²⁸ It also uses a robust pure reinforcement learning (RL) pipeline to support reasoning, reducing its reliance on supervised fine-tuning and cutting down overall training costs.²⁸One of DeepSeek’s strengths is its scalability. It supports a massive context window of up to 128,000 tokens, allowing it to handle complex, multi-part tasks with ease. It can also generate long-form outputs up to 32,000 tokens. And perhaps most notably, its inference cost is estimated to be just around 2% of OpenAI’s models, which makes it an impressively cost-efficient option for enterprise use.²⁸

3.6 Grok AI:

Developed by xAI, Grok sets itself apart from other AI chatbots with something unique: direct, real-time access to X (formerly Twitter). That gives it an edge when it comes to surfacing current events, trending topics, and breaking news, without being held back by outdated training data.³⁰But Grok doesn’t stop at just Twitter. Its “DeepSearch” feature expands its reach to the rest of the internet. It performs targeted web searches, pulls in relevant pages in real time, and can even follow links to dig deeper, almost like how a human researcher would explore a topic.³⁰To power that kind of smart search, Grok uses a hybrid indexing system. It combines classic inverted indexes (great for keyword-based lookups) with vector-based semantic indexes, which help it understand the meaning behind words, not just the words themselves.³⁰ On top of that, Grok applies chain-of-thought reasoning similar to the ReAct framework to check source credibility, cross-reference details, and make sense of complex information before delivering a response.³⁰

Table: Key Features and Search Approaches of Leading Generative Engines

Platform Name	Primary Search Approach	Key Differentiating Features	Underlying AI Technologies	Impact on User Interaction/Content Discovery
ChatGPT	Conversational Q&A	Avg. 23-word prompts, Hybrid internal/external knowledge, Younger/male demographic	LLMs, NLP	Direct answers, new search intents (problem-solving, brainstorming), specific demographic focus
Perplexity AI	Citation-Focused Research	Real-time search, Explicit citations for every response, Focus Modes, Context-aware follow-ups	LLMs, NLP, ML	Quick, verifiable answers, reduced clicks, valuable for academic/professional research
Google AI Overview	Search & Multimodal Conversation focused	Direct access to Google’s search Algorithms and user interaction data and capable of Multimodal input (text, image, video, audio),	LLMs (Gemini 2.5), NLP, ML	Immediate, contextually relevant answers, reduced clicks, personalized results
Microsoft Copilot	Semantic Indexing for Enterprise	Semantic indexing of organizational data, Microsoft Graph integration, Copilot connectors for third-party data	LLMs, Semantic Indexing, Microsoft Graph	Precise, secure, and personalized information retrieval within the Microsoft 365 ecosystem
DeepSeek AI	Inference-Based Reasoning	Mixture of Experts (MoE) architecture, Pure Reinforcement Learning (RL), Massive context window (128k tokens), High output capacity (32k tokens), High cost-efficiency (~2% OpenAI cost)	LLMs, MoE, Pure RL, Transformers	Understands user intent without explicit prompts, cost-effective for complex tasks, and in-depth report generation
Grok AI	Real-time Social Data & Deep Research	Direct real-time access to X (Twitter), DeepSearch (human-like research), Hybrid indexing, Chain-of-thought reasoning, “Fun Mode”	LLMs, MoE	Up-to-date info on current events, comprehensive answers for complex queries, engaging personality

4. Generative Engine Optimization (GEO): A New Paradigm for Digital Visibility

The shift in search behavior and AI’s increasing role in information delivery has necessitated a new approach to digital visibility: Generative Engine Optimization (GEO).

4.1 Defining Generative Engine Optimization (GEO)

Generative Engine Optimization (GEO) is the strategic process of fine-tuning your content so it shows up, gets cited, and is recognized by AI-powered search engines and conversational platforms.¹ It’s all about making sure your work appears in places like ChatGPT, Perplexity, Gemini, Copilot, and even AI image generators.¹Unlike traditional SEO which focuses on improving your website’s position in search results to drive traffic GEO has a different goal: to become the source that large language models (LLMs) rely on when giving users an answer.¹ That shift changes the game. Now it’s not just about ranking, it’s about being the trusted voice inside the AI interface.³But it doesn’t stop there. GEO also helps increase your overall visibility within AI systems, build stronger brand awareness, and indirectly drive more organic traffic by boosting recognition and credibility.¹ And when your content is accurate, helpful, and easy to surface, it improves user satisfaction not just on your site, but across the AI tools people are using every day.

Who Coined the Term Generative Engine Optimization (GEO)?

Vishvak Murahari
Princeton University
Princeton, USA
murahari@cs.princeton.edu

Pranjal Aggarwal
Indian Institute of Technology Delhi
New Delhi, India
pranjal2041@gmail.com

Tanmay Rajpurohit
Independent
Seattle, USA
tanmay.rajpurohit@gmail.com

Ashwin Kalyan
Independent
Seattle, USA
asaavashwin@gmail.com

Karthik Narasimhan
Princeton University
Princeton, USA
karthikn@princeton.edu

Ameet Deshpande
Princeton University
Princeton, USA
asd@princeton.edu

5. SEO vs. GEO: A Fundamental Shift

Traditional SEO

The goal is to rank high on a results page to drive users to your website.

User Enters Query

Scans 10 Blue Links

Clicks to Website

Goal: Website Traffic

Generative Engine Optimization (GEO)

The goal is to become a cited source within the AI's direct answer.

User Enters Query

AI Synthesizes Information

Receives Direct Answer

Goal: Authoritative Citation

Table: Showing difference between SEO & GEO on different parameters

Parameters	SEO (Search Engine Optimization)	GEO (Generative Engine Optimization)
Primary Goal	Rank higher in traditional search engine result pages (SERPs)	Be cited and featured in AI‑generated summaries (ChatGPT, Google AI Overview, Perplexity AI)
Target Engines	Google, Bing, Yahoo	Generative engines: Google AI overview, ChatGPT, Perplexity, Claude, Bing AI
Content Focus	Keyword-rich content, backlinks, and on-page optimization	Context-rich, structured, AI‑readable content that machines can understand and cite
Technical Strategies	Meta tags, sitemaps, crawlability, URL structure	Schema, conversational Q&A formatting, [llms].txt, AI‑crawlable structures
Measurement Metrics	Rankings, organic traffic, click-through rate (CTR)	Citation frequency in AI answers, presence in summaries, and AI‑driven referral traffic
Optimization Tools	SEMrush, Ahrefs, Moz, Google Search Console	AI‑specific tools: AI Monitor, BrandRank.ai, Otterly.ai—tracking mentions and sentiment in generative engines
Typical Outcome	More clicks, higher page views, improved SERP visibility	Direct answer inclusion, zero‑click content display, and increased brand visibility within AI responses

Document

The Great Disconnect: Why Good SEO Isn't Enough

A high Google ranking no longer guarantees visibility in AI answers. AI models use different criteria to source information, prioritizing structure and verifiability over traditional ranking signals.

Top 10 Google Results vs. AI Citations

Only 20% of pages ranking in the top 10 are consistently cited in AI-generated responses.

What Explains AI Citation Behavior?

A staggering 95% of AI citation behavior cannot be explained by traditional SEO metrics like traffic or backlinks.

🚀 Key Impacts of GEO on Digital Marketing

Area	Impact
Search Visibility	Instead of ranking #1 on Google, GEO helps your content appear directly in AI-generated answers and summaries.
Traffic Sources	More traffic now comes from AI-driven referrals (e.g., Perplexity citations, Google AI source links) than traditional search clicks in many niches.
Brand Authority	Being cited by LLMs positions your brand as a trustworthy expert in your domain, similar to getting quoted by the media.
Content Strategy	Forces a shift from keyword stuffing to context-rich, AI-readable content designed for understanding, not just ranking.
Competitive Edge	Early GEO adopters are gaining ground in emerging search channels while others are still focused solely on outdated SEO tactics.

6. Challenges Marketers Face While Doing GEO

Generative Engine Optimization (GEO) offers immense potential, but it comes with its own set of unique challenges that marketers must overcome.

1. Lack of Transparency in Generative Algorithms

Unlike traditional search algorithms, LLMs operate as "black boxes," making it difficult to understand their internal reasoning for prioritizing and citing content.

❓

It's hard to pinpoint: What sources do they prioritize? How do they decide what to cite? Why is certain content surfaced?

Solution: Structure for Clarity

Structure your content with clarity and semantic relevance. Actively monitor AI tools like Perplexity to observe which sources are being cited and analyze their characteristics.

✓Clear semantic relationships
✓Consistent entity definitions
✓Observe AI citation patterns

2. Decline in Traditional Traffic

With AI providing instant answers, users often experience "zero-click" interactions, leading to fewer website visits even for top-ranking content.

Website Traffic Trend

Traffic numbers can drop overnight, even when content holds a top spot in traditional SERPs.

Solution: Redefine Visibility

Shift your attention from just tracking page views to actively measuring brand visibility and citation presence in AI-generated answers. It’s not just about being seen—it’s about being mentioned.

✓Measure AI citation frequency
✓Track brand mentions in AI responses
✓Focus on influence over clicks

3. Constantly Evolving AI Models

Generative engines are in their early stages and evolving rapidly, causing strategies for content visibility to shift just as quickly.

🔄

What earns your content a citation this week might be overlooked the next. Staying relevant requires continuous monitoring.

Solution: Stay Flexible & Adaptive

GEO is not a one-time task. Stay flexible with your plan, spot new trends fast, and refresh your content pieces before they go stale.

✓Implement agile GEO strategies
✓Proactive trend spotting
✓Regular content audits & refreshes

7. Top Generative Engine Optimization (GEO) Optimization Techniques

To stand out in AI-powered search, you need more than traditional SEO—it’s about crafting content that AI finds credible, relevant, and reference-worthy. These proven techniques focus on enhancing your brand’s chances of being cited directly in AI-generated answers, where trust and context matter more than ever. Some of the strategies that we would vouch for are:

1. Optimize AI-Bot Crawlability

Ensure AI crawlers (e.g., ChatGPT, Gemini) can access and understand your site.

Key actions:

- Do not disallow crawlers in the robots.txt file
- Fast load times + mobile optimization
- Fix crawl errors (e.g., broken links)
- 63% of websites fail core crawlability criteria.

2. Strengthen Reviews on Platform Ecosystems

AI models prioritize reviews from trusted platforms.

Key actions:

- Try to increase authentic reviews on platforms like Yelp, G2, or niche platforms
- Focus on products/services with detailed feedback
- Keep an eye on the reviews and respond when needed to stay credible.

3. Join Niche Communities (e.g., Reddit)

Generative engines value authentic community discussions.

Key actions:

- Pick the right subreddit or forum, share helpful tips, and skip the hard sell so you don’t come off like spam.
- Foster discussions about your brand/products
- Encourage upvotes and shares to boost visibility

4. Build Credibility with Citations and Credible Content

AI favors trusted, well-sourced content.

Key actions:

- Cite reputable sources (studies, expert journals, or articles from authors who are well-known in your field).
- Include expert quotes/contributions
- Publish original research or in-depth analysis

5. Expand Contextual Relevance via Semantic Keywords

Optimize for natural language queries, not just keywords.

Key actions:

- Target long-tail, conversational phrases
- Group-related terms (semantic clusters)
- Cover topics comprehensively (“topic clusters”)

6. Content Optimization for GEO

Success in GEO is built on a foundation of technical excellence, structured content, and demonstrable authority. The goal is to make your content not just discoverable, but easily extractable and trustworthy for AI models.

The Pyramid of GEO Authority

E-E-A-T

Experience, Expertise, Authoritativeness, Trust

Content Structure

Entities, Schema, Extractable Formats

Technical Foundation

Crawlability, Speed, Mobile-Friendliness

53%

More likely to be cited by AI

when content includes structured data (Schema.org).

Create Extractable Content

✓Comparison Tables
✓Numbered Lists & Processes
✓FAQ Sections with Schema
✓Executive Summaries (TL;DR)

7. Leverage Traditional PR & Branding

Offline visibility fuels AI training data.

Key actions:

- Secure press coverage in industry publications
- Publish thought leadership (e.g., whitepapers, webinars)
- Boost brand mentions across credible sites

For a deeper dive into the techniques that would help you out with Generative Engine Optimization, check out the full article: 👉 Top 11 Generative‌ Engine‌ Optimization‌ Techniques – AI Monitor

8. Tools That Enhance the Generative Engine Optimization (GEO) Process

Your essential toolkit for winning in AI-powered search

As AI-generated answers become the new front door to the internet, GEO is changing how brands appear in tools like ChatGPT, Perplexity, Gemini, and more. But executing a strong GEO strategy requires more than just great content, it requires the right tools.

Here’s a curated list of powerful GEO tools shaping the future of AI visibility in 2025:

🔍 1. AI Monitor – The GEO Powerhouse

AI Monitor offers real-time tracking of your brand’s visibility in AI search platforms such as Google’s AI Overview, ChatGPT, Claude, and Perplexity.
It monitors prompts, sentiment, citations, and competitive keyword coverage, making it the most complete and useful GEO platform on the market.
✅ Used by top agencies to drive 500%+ visibility gains.

🚀 2. Semrush – The Trusted SEO Tool with GEO Add-Ons

Semrush rolled out GEO-friendly tweaks like prompt tracking and AI-answer detection. It’s a smooth way for traditional SEO professionals to integrate GEO without rebuilding their stack.
💡Starter plans kick off at $99/month.

💡 3. Otterly.AI – The Budget-Friendly Option

Otterly.AI is an affordable tool that provides basic prompt visibility and keyword-to-prompt matching.
It’s easy to use and offers fast setup, though results can be inconsistent.
💸 If you’re in the early stages of testing geo-targeted campaigns, this approach pays off.

🧠 4. Profound – The Enterprise Intelligence Engine

Profound delivers high-end AI behavior mapping, brand risk forecasting, and prompt-level insights for large organizations.
If you need deep analysis and long-term strategy planning, this is your tool.
📊 Requires premium licensing and advanced onboarding.

🛡️ 5. BrandRank.ai – The Reputation Guardian

BrandRank.ai offers a hybrid approach: AI monitoring paired with human review to detect brand misrepresentation or legal risk in generative answers.
🔒 Especially valuable for finance, healthcare, or government orgs.

👨‍💻 6. Ziptie.dev – The Developer’s Playground

Ziptie.dev is a developer-first API toolkit for tracking generative engines at a technical level.
You can build your dashboards, alerts, and pipelines to follow brand, product, or keyword prompts as they evolve.
⚙️ Ideal for custom solutions and AI research.

Did you know there are over 50+ GEO tools already shaping the future of AI-driven search?
We’ve put together a curated list of the most powerful Generative Engine Optimization tools on the planet, your one-stop resource to stay ahead in the game.

Got a GEO tool we haven’t included yet? Drop us an email, and we’ll make sure it gets the spotlight it deserves

9. Generative Engine Optimization (GEO): Pros vs. Cons

Aspect	Pros (Advantages)	Cons (Challenges)
Visibility	▶️ Appears in AI-generated answers (e.g., Google SGE, Perplexity), capturing users before they click links.	▶️ Traffic cannibalization: Fewer clicks to websites if the answer fully satisfies users in the AI snippet.
Authority Building	▶️ Source attribution (e.g., "According to [Your Site]") boosts brand trust and E-E-A-T.	▶️ Zero control over how generative engines summarize/represent your content.
Content Strategy	▶️ Rewards comprehensive, well-structured content (not keyword stuffing).	▶️ Requires significant content restructuring: Depth > brevity, multi-perspective coverage.
Future-Proofing	▶️ Prepares for AI-dominated search (25–60% of queries may use generative results by 2026).	▶️ Rapidly evolving landscape: GEO tactics may become obsolete quickly as AI models update.
ROI & Traffic	▶️ High value for complex, research-driven queries (e.g., comparisons, guides).	▶️ Unclear monetization: Harder to track conversions if users stay in the AI interface.
Technical Execution	▶️ Less reliance on backlinks vs. traditional SEO. Focuses on content quality.	▶️ Opaque ranking signals: Lack of clear guidelines (vs. Google's SEO standards).
Competition	▶️ Early-mover advantage: Fewer sites actively optimize for GEO.	▶️ Dominated by established authorities (e.g., governments, universities, major publishers).
User Experience	▶️ Drives content toward user intent and problem-solving.	▶️ Forces creators to prioritize AI readability over human engagement (e.g., emotional hooks).

Do You Know What ChatGPT is Saying about Your Brand?

Don’t wait for a crisis. Proactively manage your brand’s reputation in the age of AI. To learn what AI is saying about you, book 1:1 Meeting with the #1 GEO Expert in the world.

10. How You can Learn Generative Engine Optimization (GEO)?

As AI-driven search transforms how content is discovered, learning Generative Engine Optimization (GEO) isn’t just optional, it’s essential for marketers, creators, and SEO professionals who wish to stay ahead of the curve.

But where do you start?

That’s exactly why we’ve created a free, in-depth course—designed to take you from GEO beginner to expert, even if you’re not technically inclined or deeply familiar with how AI works. It breaks down complex concepts into practical, actionable steps to help you succeed in the AI-powered search landscape.

🎓 What You'll Learn:

– How AI models like ChatGPT, Gemini, and Perplexity source and surface content

– What makes content “AI-citable” in zero-click summaries

– The tools, techniques, and frameworks that top brands use to rank in generative answers

– Real-world case studies and prompt-based visibility strategies

Whether you’re in SEO, content marketing, or digital strategy, this course will give you the GEO fundamentals and advanced tactics to thrive in the AI-first web.

👉 Start learning here (free):
https://getaimonitor.com/best-generative-engine-optimization-geo-course-for-free/

11. Our Prediction on GEO 🔮

Generative Engine Optimization (GEO) is no longer a futuristic concept, it’s the foundation of digital visibility in an AI-first search ecosystem. With platforms like ChatGPT, Google Gemini, and Perplexity providing direct answers before users even click a link. Brands that fail to adapt risk becoming invisible. Just as businesses that ignored the SEO bandwagon in the early 2000s faded from traditional search, those overlooking GEO today will be left behind in AI-generated results.

By 2026, we expect 40–60% of all discovery traffic to come from generative engines, not traditional SERPs. Prompts will replace keywords, and earning citations from AI models will become the new gold standard of authority. It won’t be about ranking on page one, it’ll be about being the trusted source AI draws from.

Real-time monitoring, prompt-aware content, and semantic depth are the building blocks of tomorrow’s digital strategy. GEO isn’t a trend, it’s the next era of search. The brands that act now will shape it. The ones that don’t? They’ll be searching for relevance in a landscape that’s already moved on.

Works Cited

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https://guides.library.georgetown.edu/ai/ethic

The post What is Generative Engine Optimization? appeared first on AI Monitor | Get Your Brand Recommended by ChatGPT & Google AI Overview.

How to Get Featured in Google’s AI Overview? Tools and Strategies for 2025

Avinash Tripathi — Mon, 07 Jul 2025 12:36:42 +0000

How to Get Featured in Google’s AI Overview? Tools and Strategies for 2025

Table of Contents

Google’s AI Overview is now the new king of the SERP, and AI is changing the rules of SEO. Blue links and metadata are no longer the exclusive components of search. Google AI Overview will be the new gatekeeper of visibility in 2025, changing the way people discover and trust brands. That AI-generated summary block at the top of search results, which provides an answer to the query before anyone even scrolls, is likely something you’ve seen. This is Google’s AI Overview, which stealthily diverts traffic from sponsored advertisements, snippets, and organic rankings.

Quick Stat:

As of March 2025, 13.14% of all U.S. desktop searches trigger Google AI Overviews, doubling since January. (Source: Semrush AI Overviews Study)

At the same time, total Google search impressions have surged 49% year-over-year, while click‑through rates dropped nearly 30%, thanks to AI-generated summaries at the top. (Source: BrightEdge Press Release)

If you’re not being cited or mentioned in AI Overviews, you’re losing out even if you’re ranking #1 in traditional search results. But here’s the good news: Getting featured isn’t just for the big guys. With the right strategy, tools, and formatting, any brand can become the source AI trusts.

What this blog addresses:

- What is the Google AI Overview?
- How it chooses what to summarize
- What Generative Engine Optimization (GEO) means in 2025
- The best tools to track your mentions
- A simple checklist to get featured faster

Let’s dive into the future of search and learn how to turn AI’s spotlight onto your content.

What’s the Big Deal with Google AI Overview?

In a word? Your clicks are being stolen, and SEO is being redefined. Google AI Overview is an AI-driven feature that appears at the top of many search results, summarizing information from multiple sources into a single, clear, and concise response. Users are not required to click, scroll, or search. They get the answer they were looking for immediately, and your content may be cited or disregarded. You do not have any control over this. While traditional rankings are still important, users no longer view them first.

Here’s what makes AI Overview such a big deal:

- It hijacks visibility: AI Overviews show up above some advertisements, featured snippets, and even organic results.
- It reduces clicks: users can usually find what they’re seeking in the summary, rendering your product page or blog post outdated unless you’re included in the answer generated by AI.
- It levels the playing field: The top 10 Google results are not where 85% of the sources listed in AI Overviews originate.

Translation: You don’t have to be #1 anymore, but you do have to be AI-friendly. And that’s exactly why Generative Engine Optimization (GEO) is emerging as the new playbook for content strategy in 2025. It’s not about just ranking high, it’s about being trusted enough by AI so that it quotes you. So, yes, the big deal is this:
If you’re not featured in Google AI Overview, your content may lose its visibility and in turn, relevance.

Let’s fix that.

What Is Google AI Overview?

Think of it like this:

Google AI Overview = Google Gemini + Google Search + TL;DR mode

Many search results have Google’s AI-generated summary box at the top. It provides consumers with a succinct, AI-written response that pulls data from several websites, including (ideally) yours, rather than a list of ten blue links.

How It Works:

1. Understands the query – Large language models, such as Gemini 2.0, are used by Google to understand the intent behind the question.
2. Scans its LLM dataset – Google taps into its LLM dataset to surface the most contextually relevant answers to the query.
3. Scans the web – It extracts relevant data from several reliable sources.
4. Summarizes intelligently – The AI then provides a thorough response directly on the search page.

Why It Matters:

- It bypasses traditional SEO logic – your page doesn’t need to rank #1 to be included.
- It remixes content – Google might summarize your blog post without sending you traffic.
- It changes how users search – people are relying on AI-generated answers more than ever.

AI Overview is essentially Google’s answer to programs like Perplexity and ChatGPT. “We’ll answer your question before you even leave the page,” is how Google puts it. The goal of the new SEO strategy is to become the reliable source that AI uses, whereas the previous one may have been centered on keyword ranking. And that’s where Generative Engine Optimization (GEO) comes in. More on that soon.

Join us today and experience the power of AI.

Generative Engine Optimization (GEO) is the process of optimizing your material to appear in AI-generated responses and recommendations. GEO focuses on changing how AI systems perceive and display your material, as opposed to traditional SEO, which aims for the highest rankings in search engine results. Increasing the visibility and recognition of your brand in AI-driven outputs is the aim.

AI Search Platforms

Google's AI Overview (earlier known as Search Generative Experience (SGE), ChatGPT, and Perplexity.

Real World GEO Implementation AI-Generated Summaries:

GEO aims to have AI models generate summaries that highlight your content as a source of information.

Citations in AI Responses:

GEO aims to have AI models cite your content in their responses, demonstrating your content's authority and relevance. For a more detailed explanation, read our blog on What is Generative Engine Optimization?

From Google SGE to AI Overview: A Drama-Filled Timeline

Date	Milestone
May 2023	Google announces Search Generative Experience (SGE)
March 2024	AI Overviews tested in the main search results
May 2024	Official launch of Google AI Overview in the US
August 2024	Rollout to the UK, India, Japan, Indonesia, Mexico, and Brazil
April 2025	- Google confirms the AI Overviews link to their search results. - AI Overviews begin testing on YouTube.
May 2025	AI Mode rolled out to all users in the U.S

Source: Ahrefs

Google AI Overview vs. SERP Rankings: What’s the Difference?

Google’s AI Overview may appear to be simply another search function, but it operates according to entirely different guidelines. The highest-ranking pages are not always given preference; relevance to the query is of utmost importance.

- AI Overviews appear at the top of the page, above traditional search results, often before featured snippets.
- SERP Rankings are based on Google’s classic algorithm, ranking pages by relevance and authority.
- Overlap: Only 15% of AI Overview responses now come from the top 10 organic search results.

This means that 85% of the sources featured in AI Overviews are from beyond the top 10, giving websites that don’t traditionally rank at the top of Google’s SERP a real opportunity to appear in AI-generated summaries!

Table: AI Overview vs. SERP Ranking

Feature	Google AI Overview	Traditional SERP Rankings
Position	Above all, organic results	Below AI Overview
Source Diversity	Multiple, diverse sources	Top-ranking pages
Content Type	Summaries, lists, media	Webpage links
User Clicks	May reduce organic clicks	Main source of organic traffic
Visibility	Can feature content beyond page 1	Relies on the top 10 rankings
Interactivity	Follow-ups & multi-part queries via AI Mode	Static, no interactive follow-up

Do You Know What ChatGPT is Saying about Your Brand?

Don’t wait for a crisis. Proactively manage your brand’s reputation in the age of AI. To learn what AI is saying about you, book 1:1 Meeting with the #1 GEO Expert in the world.

How Google Picks Content for AI Overview (Hint: It’s Not Just Rankings)

Do you think being in the AI Overview is guaranteed if you rank #1 on Google? Rethink that idea. According to the Semrush AI Overviews Study (2025), 85% of the sources listed in Google’s AI Overviews don’t even show up in the top 10 organic search results.

Google isn’t just picking and choosing based on the keyword match. It’s AI filters content based on value, clarity, and relevance to the user’s query, not just SERP position.

What does Google’s AI look for when deciding which content to feature:

1. Query Intent Match

Does your material give a clear and direct answer to the user’s question? AI Overview chooses content that provides value quickly instead of just summarizing. The intent of the query is very important in AI Overview. Your response may be overlooked if it contains unnecessary details or distractions.

2. Clarity & Structure

AI prefers content that is easy to skim and rephrase. Well-structured formatting can make all the difference.

Use

- Descriptive H2s and H3s
- Bullet points and numbered lists
- FAQs, summary boxes, and takeaways

The goal is to make it simple for AI and humans to scan, understand, and use your content.

3. Authoritativeness

Google’s AI looks for trusted voices. If your content shows expertise and credibility, you’re in a better position to be cited.
Make sure you include:

- Author bios and credentials
- Original research or insights
- Cited statistics with reputable links
- Signals of E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness)

4. Freshness

Outdated content is ignored. Keep your articles and data up to date. AI Overviews focus on content that has been updated within the last 6 to 12 months. It helps AI to ensure that the information it is giving out is up to date and accurate.

5. Unique Value

Are you just repeating what everyone else says, or offering something new?

- Contrarian takes
- Case studies
- Expert quotes
- Visual explainers (charts, graphs, infographics)

Treat each post as a resource for humans and machines. Explain things clearly, but provide enough depth so that AI finds your perspective valuable. Ranking high in traditional search helps, but it is not a requirement for appearing in the Google AI Overview. The real question is whether AI would trust your content enough to teach someone else with it.

How to Check If You’re Already in Google AI Overview

So, are you in or out? Google doesn’t provide a dashboard to tell you if your site is featured in AI Overviews. But that doesn’t mean you’re flying blind. Here’s how to check if your content is appearing in AI-generated summaries, both manually and automatically:

Step-by-Step: Manual Check

1. Search Like Your Audience

Go to Google and type in prompts such as:

- - “Best [your product type] for [use case]”

AI Overview pulls from multiple sources, not just top-ranking articles, to recommend tools like Microsoft Teams and Trello. It’s a perfect example of how Generative Engine Optimization (GEO) can help your product or guide get featured based on usefulness, not just rankings.

- - “How to [solve a problem your content addresses]”

Asana’s blog page on organizing tasks and projects at work is currently featured in the AI Overview for the query “How to organize tasks and projects at work.” This shows how Google’s AI highlights brand content that provides clear, actionable answers, even if it’s not a blog post. Educational pages, resource hubs, and customer programs can all gain AI Overview visibility when they are optimized properly.

- - “[Your brand or competitor name] vs [alternative]”

Monday.com’s official website is featured directly in Google’s AI Overview for the query “Monday vs Notion.”This shows that branded, well-structured content, when aligned with user intent, can earn a spot in AI-generated summaries, even in competitive comparisons.

2. Look for the AI Overview card.

If Google triggers an AI Overview, it will appear above the search results, often before featured snippets or ads.

This AI Overview appears above all traditional results for the search “Notion vs Trello.”

It highlights product comparisons pulled from multiple sources, showing how AI summarizes relevant, structured content instead of just relying on top-ranked links.

3. Inspect the summary content.

Ask yourself:

- Is any of it paraphrased from your article?
- Is your brand or product mentioned directly?
- Are any links to your site cited as sources? (Sometimes it’s visible; sometimes not.)

4. Try follow-up prompts.

“Ask a follow-up” is a new user behavior triggered by AI search tools such as Google’s AI Overviews, ChatGPT, and Perplexity. Users no longer settle for just one answer; they click prompts like:

- “What’s a cheaper alternative?”
- “How does this compare to [Competitor]?”
- “Can I migrate my data?”

This creates new chances for your brand to appear, even if you weren’t the first answer.

How to Optimize for Follow-Up Prompts

Let’s say your SaaS product is a CRM alternative to HubSpot.

When a user searches:

“Best CRM for small businesses.”

The AI result may first show HubSpot or Salesforce.

But AI also suggests:

- “What are the top HubSpot alternatives?”
- “Which CRM is easiest to migrate to?”
- “How do these compare on pricing?”

That’s where your improved content comes in.

AI Monitor in Action: Track Mentions, Benchmark Competitors, Optimize Smarter

Most marketers believe that once content is published, it begins to work. But with generative AI engines changing how users find products, you are now dealing with three unseen questions:

1. Is your brand being cited in AI answers?

Tools like ChatGPT and Google AI Overviews summarize sources, but do they include you? AI Brand Monitor tracks how often and where your brand appears. This way, you can close citation gaps before your competitors win the click.+

2. Are AI bots reading your content?

Even if your blog ranks, AI crawlers, which don’t act like traditional bots, might be skipping your site. AI Bot Monitor detects which generative engines are crawling your pages and which aren’t.

3 What traffic is coming from AI tools, and what’s converting?

Traditional analytics often miss this. AI referral traffic usually shows up as “direct” or gets lost in the noise. AI Traffic Monitor separates human visits from AI-influenced clicks. This helps reveal the true impact.

While Generative Engine Optimization (GEO) is a strong use case, AI Monitor offers much more. It tracks how often AI models mention your brand. It identifies which bots visit your site. It also finds out if you’re missing traffic influenced by ChatGPT, Perplexity, or Google’s AI Overview. AI Monitor gives you a full picture of your performance on the AI-driven web. Whether you’re a fast-moving startup or a global brand, you need to see AI as more than just a trend; it’s a new distribution channel.

Want to see what else AI Monitor can do?

These aren’t future problems. They’re happening now.
The brands that adapt early will dominate zero-click and AI-powered search visibility

Frequently Asked Questions:

How To Rank in Google AI Overview

What is Google AI Overview, and how is it different from traditional search

Can Google AI Overview hurt my website traffic?

Is Google AI Overview replacing featured snippets?

What is Generative Engine Optimization (GEO)?

Why is my content not showing in Google AI Overview?

How to see if my site is in Google AI Overview?

How often should I monitor AI Overview rankings?

How does AI Monitor help with Generative Engine Optimization?

Does website speed affect Google AI Overview rankings?

Is Google AI Overview biased toward big websites?

Should I rewrite my old posts for the Google AI Overview?

1,0690

The post How to Get Featured in Google’s AI Overview? Tools and Strategies for 2025 appeared first on AI Monitor | Get Your Brand Recommended by ChatGPT & Google AI Overview.

Why Readability is the Secret Sauce to Ranking in AI Search

Avinash Tripathi — Sat, 05 Jul 2025 13:41:58 +0000

Why Readability is the Secret Sauce to Ranking in AI Search

EP#14 Generative Engine Optimization Podcast | Boost AI Visibility

Conquer AI Search With AI

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Also available on:

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🎙️ Conquer AI Search – Episode 14: Readability for AI Visibility

Intro & Mission (0:00 – 0:12)

- Meet your hosts and the goal of the show

Why Readability Matters in AI Search (0:13 – 1:36)

- The shift from human-only to AI+human optimization

Core Readability Principles (1:37 – 3:03)

- From E-E-A-T to simplicity, clarity, and structure

Writing Tips for GEO Success (3:04 – 5:41)

- Short sentences, active voice, paragraph strategy

Structuring & Designing for AI (5:42 – 7:07)

- Subheadings, lists, visuals, and white space

Credibility & Citations (7:08 – 9:33)

- Data, sources, and building trust with AI

The Power of Storytelling (9:34 – 10:56)

- Why stories work—even for AI algorithms

Final Takeaways (10:57 – 12:31)

- Readability as the future-proof content strategy

Why Readability is the Secret Sauce to Ranking in AI Search

🧠 “Turns out, the clearer your content, the louder it speaks—to humans and to AI.”

Let’s Talk Readability—Yes, It Matters Now

You’ve probably heard it before: write clearly, write simply.
But here’s the twist… It’s no longer just good advice for readers. It’s now a game-changing strategy for ranking in AI-powered search tools like ChatGPT, Perplexity, and Gemini.

In this episode of Conquer AI Search with AI, Katherine and Avi (that’s us 👋) dive deep into something most marketers still overlook: readability as a ranking factor in Generative Engine Optimization (GEO).

Spoiler alert: it’s more powerful than most technical SEO tactics.

Wait, Isn’t Readability Just a “Nice-to-Have”?

That’s what we thought, too. But according to multiple sources and real-world data, improving how easy your content is to read can boost your AI search visibility by up to 40%.

Why? Because AI systems like those powering Google’s AI Overviews or ChatGPT’s browsing tools aren’t just crunching keywords, they’re understanding your content.

And what do they prefer?

✅ Clear structure
✅ Direct language
✅ Obvious credibility
✅ Bite-sized formatting

They’re trained on human conversation. So, if your content reads like a tangled academic journal? That’s a hard pass for both users and algorithms.

6 Readability Hacks That Make AI and People Love You

Here’s what we broke down on the podcast (in plain English):

1. Keep It Simple (No, Really)

Pro tip: If your content sounds like a robot wrote it… the AI probably won’t trust it.

2. Short Sentences, Short Paragraphs, Big Wins

Long-winded paragraphs? Hard to read. Even harder on mobile. AI notices high bounce rates and assumes your content isn’t helpful.

- Stick to sentences under 20 words
- Keep paragraphs under 100 words
- Focus on one idea per paragraph

Bonus: White space makes everything feel cleaner, less intimidating.

3. Say It Straight: Use Active Voice

It’s not just grammar-school advice. Active voice makes content clearer, punchier, and more human.

✅ We published the study.
🚫 The study was published by us.

AI likes sentences that get to the point—and so do readers.

4. Headings and Lists = Structure Heaven

Use headings (H2s, H3s) like road signs. Help readers and AI scan quickly.

Also, bullet points are gold:

- Easier to skim
- Help AI understand information hierarchy

Perfect for featured snippets and AI answers

5. Visuals + White Space = Less Brain Burn

Adding images, infographics, or even short videos helps users retain information and stay longer on your site.

Even better? Add transcripts to your videos.
That’s machine-readable content gold.

And don’t underestimate white space (aka the empty space around your text). It makes your content feel clean, premium, and trustworthy.

Think Apple’s website. Or Medium. That’s the vibe.

6. Show Your Work: Cite Sources

Trust is currency in GEO. Back up your claims with stats, credible studies, and expert opinions. And name your sources.

This boosts your EEAT signals (Experience, Expertise, Authoritativeness, and Trustworthiness), which AI uses to decide whether to include your content in its answers.

Real talk: Just adding citations can give your content a 30–40% visibility boost.

Don’t Forget the Power of Story

Yep. Storytelling isn’t just for YouTubers and influencers. Even in B2B content, a little narrative goes a long way.

Use case studies. Share founder lessons. Talk about client wins—or failures. The AI understands narrative structure and human tone. And it prefers it.

Do You Know What ChatGPT is Saying about Your Brand?

Don’t wait for a crisis. Proactively manage your brand’s reputation in the age of AI. To learn what AI is saying about you, book 1:1 Meeting with the #1 GEO Expert in the world.

TL;DR — Your Content Should Be:

✅ Simple and jargon-free
✅ Packed with visuals and spaced out properly
✅ Backed by sources
✅ Optimized for skimming
✅ Human-sounding, with active voice and stories

If your content is easy for a person to understand, it’s easier for AI to rank.

Final Thoughts: This Isn’t Dumbing Down. It’s Smartening Up.

Readability isn’t fluff. It’s a strategy. It’s how you future-proof your GEO, and earn a place in the AI-generated answers that are shaping the next generation of search.

So, whether you’re building a brand blog, writing landing pages, or publishing product docs… the question is:

Can both a person and a machine easily get what you’re saying?

If not, time to rewrite.

🎧 Loved this episode?

Follow Conquer AI Search with AI on Spotify, Apple Podcasts, YouTube, Amazon Music or wherever you get your podcasts. And leave us a review if this helped!

📅 Next Saturday: We’re diving into Technique #7. You won’t want to miss it.

(0:00 - 0:06)
Welcome, everyone, to the Conquer AI Search podcast. We're part of the AI Monitor team, and I'm Katherine. And I'm Avi.

(0:06 - 0:12)
Great to be here. Our mission on this show is pretty simple, really. We want to help you boost your visibility in AI searches.

(0:13 - 0:24)
Right, using straightforward, actionable steps, things you can actually do without needing a huge budget. Exactly. No spending needed for these tips, and, well, we probably shouldn't brag too much.

(0:24 - 0:35)
Oh, here we go. But we were recently named the number one consultants for generative engine optimization by Yes! Users. That was after their big survey with hundreds of SaaS companies, so feeling pretty good about that.

(0:35 - 0:38)
Okay. Okay, a little bragging is allowed. It was well-earned.

(0:39 - 0:54)
We are deep into our 11-episode series now, looking at the most effective ways, you know, the techniques to boost your content's visibility in AI searches. So far, we've covered quite a bit. We've explored implementing those LLMS.txt files, which are, like, super important.

(0:54 - 1:09)
Yeah, the instruction manuals for the AI crawlers, basically. Exactly. And we've looked at leveraging Reddit, using authoritative citations strategically, evolving your whole SEO playbook for this AI era, and the Power PR public relations.

(1:09 - 1:37)
Which was surprisingly critical, wasn't it? It really was. So today, we're plunging into the sixth technique, improving the readability of your content to really boost your visibility in generative engine optimization, you know, sometimes called answer engine optimization, or AEO. Yeah, and what's really fascinating here, and this comes straight from our sources, is how much readability, which, you know, we always thought was for making human readers happy, has now become like a cornerstone for AI search visibility.

(1:37 - 1:49)
It's kind of a paradox. AI systems, they're basically trained on human conversation. So they inherently favor content that's clear, concise, easy for us to process.

(1:49 - 2:00)
Oh, okay. So it's not just about making your stuff sound nice, it's about making it super digestible for those algorithms. The ones powering AI overviews and those little generative snippets we see? Exactly those.

(2:00 - 2:19)
Okay, that's a big shift. So let's unpack this. Why now? For someone maybe deep in technical SEO, why is basic readability suddenly more critical? Especially when AI can supposedly crunch through tons of complex stuff? Well, it's kind of because of that processing power, that clarity matters so much.

(2:19 - 2:30)
Our sources, they really highlight that AI models prioritize content that just screams E-E-A-T. Experience, expertise, authoritativeness, trustworthiness, and transparency, too. And transparency, yes.

(2:30 - 2:42)
So readable content, especially if it's backed up with data, credible sources, that doesn't just signal credibility to a person reading it, it makes it crystal clear to the AI. So the AI picks up on that clarity as a signal. Absolutely.

(2:43 - 2:54)
The studies we looked at even show that making content like deeper, but also clearer, can boost its chances of showing up in AI answers by up to 40%. 40%? Wow. That's a huge number.

(2:54 - 3:03)
Direct link. Okay, so it's not just about the words themselves then, is it? We hear readability and think grammar, sentence structure. Yeah, good point.

(3:04 - 3:16)
It's definitely more than just the writing. The sources emphasize things like website layout, your on-page SEO elements, you know, the usual suspects there. But also how you strategically use things like video or infographics.

(3:16 - 3:21)
Right. Think about it. You could have the most brilliant writing, just genius-level stuff.

(3:22 - 3:32)
But if it's buried in a messy layout or isn't optimized, people will just click away. And now the AI might effectively do the same. And that flags things like bounce rate.

(3:33 - 3:38)
Exactly. Bounce rates go up, search engines and AI see that as a negative signal. Poor user experience.

(3:39 - 3:40)
Right. So it's holistic. We need the whole package.

(3:40 - 3:56)
Okay, so if we want our content easily understood by both humans and AI, where do we start with the writing itself? What's principle number one? Simplicity. That's the word our sources keep hitting. You really have to avoid jargon, those overly complex words.

(3:56 - 4:01)
But what if the topic is complex? You sometimes need the technical terms. Totally. And that's okay.

(4:01 - 4:09)
If you have to use a big word, the rule is define it immediately, like right after you use it. And define it in super simple language. Gotcha.

(4:10 - 4:13)
Like explaining it to someone outside the field. Exactly. Think of it like that.

(4:13 - 4:23)
You want the information delivered efficiently without forcing the AI or the reader to do heavy lifting just to understand the words. Makes perfect sense. So keep it simple.

(4:23 - 4:34)
What about structuring sentences and paragraphs? Any like hard rules there? Yeah, this is where it gets really practical and it taps into psychology and processing. Write short sentences. That's a big one.

(4:34 - 4:46)
How short is short? Well, the general guideline is anything over, say, 20 words starts to feel long. Shorter sentences are just easier to scan, easier to understand, less chance of getting lost. Yes.

(4:46 - 4:54)
And related to that, keep paragraphs short too. Ah, okay. Like how short? Aim for maybe 100 words or less.

(4:54 - 4:58)
And crucially, stick to just one main idea per paragraph. One idea. Okay.

(4:58 - 5:02)
Yeah. This creates white space, breathing room on the page. Yeah.

(5:02 - 5:09)
Makes it feel less intimidating, you know, especially on a phone screen. Yeah. Walls of text are the worst on mobile.

(5:10 - 5:16)
Totally. It gives the eyes and the AI these little pauses to digest the info in chunks. I can see that.

(5:16 - 5:21)
Less cognitive load. Which brings me to active versus passive voice. Classic writing advice.

(5:21 - 5:26)
Still relevant for AI. Oh, absolutely. Our sources are pretty firm on this one.

(5:26 - 5:30)
Stick with active voice whenever you can. Why exactly? It just delivers a clearer message. It's more direct.

(5:30 - 5:34)
The subject does the action. You know, the team analyzed the data. Simple.

(5:34 - 5:41)
Instead of, the data was analyzed by the team. Right. But passive construction is just wordier, a bit more distant.

(5:41 - 5:52)
Now passive voice isn't evil. It has its uses, like in formal science papers or if you don't know who did the action. But generally, active voice is more engaging, more dynamic, more like how people actually talk.

(5:52 - 5:59)
And since AI learns from human conversation. Bingo. It prefers that direct, natural style.

(5:59 - 6:07)
Easier to process, easier to extract meaning from. Okay, makes sense. So simple words, short sentences, short paragraphs, active voice.

(6:08 - 6:15)
What about visually structuring the content beyond just the text? Right. The visual and logical flow. Subheadings are your best friend here.

(6:16 - 6:18)
Okay. Use them generously. Seriously.

(6:18 - 6:26)
They make a huge difference. They break up the text, let readers and AI scan quickly, find what they need, digest info in related chunks. Like signposts.

(6:26 - 6:33)
How should we structure them? Like H1, H2, H3. Yeah, exactly. Think of your H1 as the main title, the book title.

(6:33 - 6:39)
H2s are your main sections, like chapters. And H3s are for subsections within those chapters, drilling down a bit. Got it.

(6:39 - 6:47)
Any guideline on how much text should follow a subheading? Good question. Ideally, keep it manageable. Maybe around 250 to 350 words.

(6:47 - 6:56)
You just want to avoid those long, unbroken walls of text that make people's eyes glaze over. Right. And what about lists? Bullet points, numbered lists? Definitely use them.

(6:56 - 7:07)
Our sources really push these. They break things up visually, again, helping readers rest their eyes and pinpoint info fast. And for the AI? They're great for AI, too.

(7:07 - 7:17)
They help the algorithms understand the structure and hierarchy of your information. Makes it much easier for them to pull out key points for summaries or answers. They're like little structured data points within your text.

(7:17 - 7:23)
Okay. Lists and headings. What about actual visuals, images, videos? And you mentioned empty space earlier.

(7:23 - 7:30)
Yeah, visuals are key. Simple images can be really powerful. They can convey an idea quickly, reduce the mental effort needed from the reader.

(7:30 - 7:49)
And things like images, videos, infographics, they cater to different learning styles. Visual auditory learners, wider reach. And how does AI interact with video, for instance? Well, if your videos are optimized, good titles, descriptions, tags with relevant keywords, and importantly, transcripts.

(7:50 - 7:54)
Transcripts. Yes. Transcripts allow the AI to effectively read the video content.

(7:54 - 8:02)
This boosts discoverability, strengthens those EET signals, makes your content richer, more accessible to the AI. Okay. So optimize everything.

(8:02 - 8:08)
Now, about that white space. Sounds like nothing. Why is nothing important? Yeah.

(8:08 - 8:18)
It sounds weird, doesn't it? But white space, or negative space, is just the intentional empty area around things. It doesn't have to be white, just empty. No text.

(8:18 - 8:20)
No images. Okay. And its purpose.

(8:20 - 8:29)
Its purpose is huge. It gives the eye breathing room, stops the page feeling cluttered or overwhelming. It helps the important stuff, your text, your key images really stand out.

(8:29 - 8:36)
It improves focus. Exactly. Improves focus, improves legibility, reduces that cognitive load we talked about.

(8:36 - 8:39)
Yeah. Makes the whole thing look cleaner, more professional. I was thinking examples.

(8:39 - 8:48)
Think about Apple's website, or Google's homepage, or Medium articles. They use white space brilliantly. It guides your attention, conveys simplicity and clarity.

(8:48 - 8:54)
And AI interprets a clean, user-friendly design as a sign of quality. Fascinating. Okay.

(8:54 - 9:07)
So we've got language, sentence structure, page structure, visuals, even empty space. What else contributes to making content appealing to both readers and AI? Credibility. This came up again and again in the sources.

(9:07 - 9:13)
It's absolutely king, meaning you must back up your points. Use data. Use statistics.

(9:14 - 9:16)
Quote experts. And cite your sources. Yes.

(9:16 - 9:19)
Yes. Cite reputable, authoritative sources. Always.

(9:19 - 9:31)
This builds trust with your human audience, obviously, but it also massively reinforces your EEAT standing with generative AI. How so? Well, think about it. AI models can't just invent facts or stats.

(9:31 - 9:33)
Dang it. Reliable sources. Oh.

(9:33 - 9:45)
So content that provides data and shows its work with citations. That's gold for AI. It makes your content much more likely to be trusted, referenced, highlighted in AI answers.

(9:45 - 9:55)
Our sources mentioned a potential boost from citations alone, didn't they? They did, yeah. Something like a 30-40% increase in AI visibility just by adding robust citations. It signals you've done your homework.

(9:55 - 9:56)
Wow. That's huge. Okay.

(9:56 - 10:04)
One more thing that popped out from the sources. Storytelling. How does telling stories fit into optimizing for AI? Seems counterintuitive for logical machines.

(10:04 - 10:14)
It does seem that way, but it's actually a really smart strategy. The sources call it a superpower. Humans are just wired for stories, right? They grab us, help us connect, help us remember, they add emotion.

(10:14 - 10:25)
And while AI seems purely logical, remember what it's trained on. Human conversation. Billions of examples of human conversation, which is packed with stories, anecdotes, experiences.

(10:26 - 10:33)
Ah, okay. So AI recognizes narrative structure. It understands the patterns and the engagement factor.

(10:34 - 10:46)
Stories, even little ones, make content memorable, more engaging, less dry. You can use them in intros to hook people, use case studies to illustrate points, share your own journey. Client transformations, maybe? Perfect example.

(10:46 - 10:56)
Or even talking about failures and what you learn. It makes your voice authentic. It connects with readers on a human level, and that signals high-quality, valuable, human-like content to the AI.

(10:57 - 11:08)
Content worth paying attention to. This has been incredibly useful, so let's bring it all together. For our audience listening, working on their GEO strategies, what's the big takeaway here? I think the main thing is that improving readability.

(11:09 - 11:23)
It's not just about dumbing things down, not at all. It's about being strategic, crafting your content so both humans and these sophisticated AI models can effortlessly understand it, categorize it, prioritize it. So precision, organization, credibility.

(11:24 - 11:29)
Exactly. Communicating with absolute clarity on every level. That resonates across all forms of search, old and new.

(11:30 - 11:49)
It really does feel like future-proofing your content, doesn't it? And as AI gets even more conversational, more discerning, with multimodal search, querying with images, voice, maybe video. It's evolving fast. How might our whole idea of readability change? What could be the next standard for clear, direct content? Definitely something to think about as you optimize.

(11:52 - 12:05)
That wraps up today's episode of Conquer AI Search. Thanks so much for tuning in. If you enjoyed the conversation, make sure to follow or subscribe wherever you're listening, whether that's Spotify, Apple Podcasts, Audible, Amazon Music, or right here on YouTube.

(12:05 - 12:16)
And hey, if you got value out of this episode, consider leaving a rating or review. It really helps us reach more listeners like you. As you continue to refine your content for the AI search landscape, consider this.

(12:16 - 12:31)
How might improving readability not just help AI understand you, but also strengthen your brand's human connection in an increasingly automated world? See you next Saturday with the 7th AI Optimization or Generative Engine Optimization Technique. Thanks for joining us.

📚 Sources & References

The post Why Readability is the Secret Sauce to Ranking in AI Search appeared first on AI Monitor | Get Your Brand Recommended by ChatGPT & Google AI Overview.

From Global Nomad to AI Marketing Maverick: Sid’s Journey into the World of GEO

Avinash Tripathi — Sat, 05 Jul 2025 13:11:46 +0000

From Global Nomad to AI Marketing Maverick: Sid’s Journey into the World of GEO

Table of Contents

What does growing up across three continents, launching a failed travel startup, and getting mentioned by Google AI Overview have in common?

They’re all key moments in Sid’s story, a founder turned fractional CMO who’s now leading the charge into the next era of search: Generative Engine Optimization (GEO).

🌍 Chapter 1: How Moving From Lagos to Pilani Built a Founder’s Mindset

Sid was born in Bangalore, raised in Nigeria, and had already crossed 20+ countries by the time he entered college. But nothing quite prepared him for BITS Pilani.

“Moving to Canada felt easy. Pilani was the real culture shock.”

Imagine 40°C summers, no AC in sight, and the nearest Domino’s Pizza four hours away. That wasn’t just college, it was a startup bootcamp in disguise.

“You learn to thrive in discomfort. That skill saved me more than once.”

That mindset led him to launch his first startup: a travel app called Treadalong. Think Airbnb meets Foursquare for local experiences.

It made sense on paper. But in real life? Not so much.

“We got five bookings a month in Chile. It was crickets.”

Eventually, Sid pulled the plug. And that failure? It taught him everything about when to stop pushing and start pivoting.

🚀 Chapter 2: The Pivot — From Burnout to Fractional CMO

After shutting down the app, Sid took a solo trip, not to escape, but to reset. No job board. No CV blast.

While working on his next blog and interviewing a few people for it, he was invited to guide their company’s team, and from there, consulting opportunities started rolling in. He went on to lead marketing for companies like Thinkific, LemonStand, and Gorgias, without ever applying for a job.

One of his biggest wins? A simple blog post:
“The 30-60-90 Day Marketing Plan” — it ranked #1 on Google and drove thousands of leads for Thinkific.

“A single piece of content can outwork a sales team if you write it right.”

This was the beginning of his obsession with content that actually converts.

And later, it became the foundation for his next big shift, GEO.

🔎 Chapter 3: GEO — What Happens When ChatGPT Starts Sending You Traffic

Most marketers are still chasing Google rankings.

Sid noticed something weird: his blog posts were suddenly getting traffic from AI tools like ChatGPT.

A single explainer post on *Google’s Agent Development Kit* quickly became a breakout hit, driving over half of the site’s total traffic and ChatGPT-based referrals. Its clarity, relevance, and timing struck a chord with both search engines and generative platforms.

“It was wild. SEO wasn’t the only game in town anymore.”

That’s when he coined it:
👉 Generative Engine Optimization (GEO) — content built for AI discovery, not just Google crawlers.

Sid’s 3 Favorite GEO Tactics:

1. Build real authority – Interview experts, write deep content, and be the source LLMs want to quote.
2. Structure for machines – Use clear headers, schema, FAQs, and a conversational tone.
3. Track invisible traffic – Use tools like AI Monitor to see how ChatGPT and Copilot are referencing your site.

Fun fact: Sid got serious about GEO when Copilot misrepresented a startup he admired. Now, he’s optimizing to “win” in AI answers.

🧠 Founder Advice from Sid (That Hits Hard)

- Don’t fake product-market fit. If you’re still asking, you don’t have it yet.
- Bet early on GEO. “ChatGPT won’t kill Google—but it will eat its lunch.”
- Never underestimate content. “One 10,000-word guide can feed your funnel for years.”

TL;DR – Why Sid’s Journey Matters Right Now

✅ Resilience built early: Growing up between Lagos and India taught Sid to adapt fast.
✅ Failure taught him speed: His failed travel app opened the door to SaaS growth and consulting.
✅ He writes to dominate: Sid’s long-form content ranks, converts and now gets cited by AI.
✅ He’s betting on the future: GEO isn’t a buzzword—it’s where smart marketers are headed.

Want to Start with GEO?

Sid recommends starting small:

- Write one great guide on a topic you own.
- Structure it.
- Track where your AI traffic is coming from.

Because in the age of AI search, being found by people is great.
Being cited by language models is game-changing.

Do You Know What ChatGPT is Saying about Your Brand?

Don’t wait for a crisis. Proactively manage your brand’s reputation in the age of AI. To learn what AI is saying about you, book 1:1 Meeting with the #1 GEO Expert in the world.

The post From Global Nomad to AI Marketing Maverick: Sid’s Journey into the World of GEO appeared first on AI Monitor | Get Your Brand Recommended by ChatGPT & Google AI Overview.

Leverage Reddit for Generative Engine Optimization: Boost Your Brand with Strategic Reddit Geo Marketing

Avinash Tripathi — Sat, 05 Jul 2025 08:06:10 +0000

Leverage Reddit for Generative Engine Optimization: Boost Your Brand with Strategic Reddit Geo Marketing

Table of Contents

Ever wondered why ChatGPT keeps recommending your competitors? Or how some obscure brand magically appears in Google’s AI Overview, while your well-crafted site doesn’t?

You’re not alone.

We’re entering a new era of search, where AI tools like ChatGPT, Gemini, and Perplexity don’t just index websites. They synthesize answers from the internet’s most trusted conversations, and there is one platform that fuels more of those conversations than most realize:

Reddit.

Yep, the same place people swap memes, argue over keyboards, and ask strangers how to break up with their ex is now shaping what AI believes is trustworthy, useful, and worth surfacing.

In this guide, you’ll learn how to use Reddit for Generative Engine Optimization (GEO) to improve your visibility in the answers generated by AI-powered platforms like ChatGPT, Gemini, and Perplexity.

What this blog addresses:

1. What Is Generative Engine Optimization (GEO)
2. Why Use Reddit for GEO (Generative Engine Optimization)?
3. Reddit Facts You Must Consider for GEO
4. How Notion Gained Notoriety for AI, Reddit is to thank.
5. Use Reddit to Show Up on Google AI Overview and ChatGPT
6. 7 Methods for Generative Engine Optimization (GEO) on Reddit
7. Genuine Brands Winning AI and Reddit Search by Way of GEO

AI Isn’t Reading Your Blog, It’s Listening to Reddit

Search is no longer what it used to be. People aren’t scrolling through 10 blue links or reading five blog posts anymore. They’re asking AI-powered tools like ChatGPT, Gemini, and Perplexity direct questions like:

- “What’s the best tool for X?”
- “Are there any free alternatives to Y?”
- “What do Redditors recommend for Z?”

And here’s the game-changer:

AI isn’t pulling answers from your homepage. It’s pulling them from Reddit threads, AMAs, and unfiltered community conversations. If your brand isn’t being mentioned where those conversations happen, you’re invisible to AI.

That’s where Generative Engine Optimization (GEO) comes in. And Reddit?

It’s your secret weapon.

Because in a world where LLMs decide what’s “credible,” the most trusted content isn’t polished marketing, it’s real human interaction. This blog will show you how to leverage Reddit to get your brand seen, cited, and surfaced in AI answers everywhere.

What Is Generative Engine Optimization (GEO)?

The process of influencing how Large Language Models (LLMs) like ChatGPT, Perplexity, and Gemini perceive, comprehend, and suggest your brand is known as Generative Engine Optimization or GEO. Think of GEO as the evolved form of SEO, more context-aware, intelligent, and aligned with how AI engines like ChatGPT and Google’s AI Overview surface information.

Unlike traditional SEO, GEO doesn’t rely on keyword stuffing or Google SERP rankings. Instead, it focuses on ensuring your content is semantically rich, accurately structured, and contextually relevant so that AI systems can understand it, reference it, and quote it naturally in their responses. GEO isn’t just about visibility; it’s about being meaningfully discoverable in the age of generative search.

The goal is to establish yourself as a reliable source for answers using AI tools. Rather than searching for keywords and backlinks, GEO concentrates on something more profound: educating AI to view your brand as helpful, reliable, and relevant.

GEO assists you in achieving the following:

- Feature in summaries of AI
- Respond with the brand that ChatGPT casually suggests.
- Gain credibility by participating in genuine online discussions.

Want to explore this topic in more detail? Check out our full blog for deeper insights and practical takeaways: What is Generative Engine Optimization?

Where are the most reliable discussions already taking place?

Reddit.

Because Reddit isn’t just a social platform, it’s a real-time trust engine that’s quietly powering the way AI learns what’s credible.

In short, GEO is how you optimize for AI.
Reddit is how you win it.

Why Use Reddit for Generative Engine Optimization (GEO)?

Let’s break this down with some eye-openers you can’t afford to ignore

Reddit isn’t just a Forum, it’s an AI feed

According to a report, 22% of GPT-3’s weighted training dataset was sourced from WebText2, a collection of content curated from outbound links shared on Reddit. These links, typically those receiving high engagement, were used to define “quality” content, making Reddit a significant influence on the model’s training corpus.

That’s right, your next Reddit comment could train an AI model.

Reddit has multi-million-dollar data licensing deals

Google & Reddit: According to TheWrap report, OpenAI and Google are paying Reddit over $60 million per year just to access its firehose of content
OpenAI & Reddit: An estimated $70 million deal where OpenAI is given access to content from Reddit for AI training, and Reddit gets some revenue and features powered by AI.

That means one thing:

LLMs like ChatGPT and Gemini are fed Reddit threads. The more you show up in those threads, the more AI learns your brand is worth surfacing.

Reddit = Community Trust = AI Confidence = Sales

This isn’t just about visibility, it’s about influence.

About 76% of Redditors make buying decisions based on what they read in threads. So when your brand is organically mentioned, especially in helpful, non-salesy ways, you’re earning more than karma.

You’re building credibility with:

- Humans
- Algorithms
- And large language models.

Upvotes Aren’t Just Internet Points

Here’s the kicker:

Upvoted posts on Reddit get indexed by search engines faster. They often become the citable source in tools like ChatGPT and Perplexity.

So when someone asks, “What’s the best tool for remote team management?”
AI might not grab your blog post.
But that Reddit thread where someone recommended you? That’s gold.

TL;DR:

If it lives (and thrives) on Reddit, it might soon live inside an AI answer.

So the real question is:
Are you in the thread, or are your competitors training AI without you?

Use Reddit to Appear on ChatGPT, Google AI Overview

Search is changing. Users now look to ChatGPT, Gemini, and Perplexity for immediate answers rather than scrolling through conventional search results. Reddit has become a significant force behind AI search optimization in this change.

You’re actively influencing what large language models (LLMs) learn by participating in genuine discussions, answering long-tail queries, and fostering trust. This goes beyond simple marketing. Generative Engine Optimization (GEO) revolves around this.

By using tactics like llms.txt, monitoring Reddit sentiment, and participating in specialized subreddits, you can improve your E-E-A-T for AI. These actions have a direct impact on how AI-generated platforms portray your brand

Real-World Example: How Notion Won AI Visibility Thanks to Reddit

The popular all-in-one workspace app Notion was not involved in aggressive SEO operations or backlink chasing. They decided to let Reddit speak for them instead, and it worked.

Here’s how

Redditors in communities like r/productivity and r/Notion shared:

- Custom-built templates
- Tips, hacks, and real-life use cases
- Honest reviews comparing Notion to Evernote and OneNote

And guess what happened?

AI models started paying attention.

These Reddit threads became part of the content LLMs like ChatGPT and Perplexity now trust and reference in answers.

The Result?

Try asking ChatGPT:

“What’s the best productivity app?”
[Screenshot]

“Is there an alternative to Evernote?”
[Screenshot]

“Best tools for building a second brain?”
[Screenshot]

More often than not, Notion shows up in the answer, not because of ads or SEO tricks, but because Reddit trained the AI to recommend it.

Takeaway:

If people are talking about your brand on Reddit, AI will listen. If they’re not… you’re letting your competitors train the AI instead.

Do You Know What ChatGPT is Saying about Your Brand?

Don’t wait for a crisis. Proactively manage your brand’s reputation in the age of AI. To learn what AI is saying about you, book 1:1 Meeting with the #1 GEO Expert in the world.

Reddit Truths You Can’t Ignore for GEO

These aren’t hot takes.
They’re AI SEO realities backed by how large language models are trained and how they rank trustworthiness.

Let’s break them down

1 Reddit threads are in the AI training data

Your Reddit post today could be part of ChatGPT’s answer tomorrow. LLMs like GPT-3 and GPT-4 were trained using massive Reddit-linked datasets.

Every time you participate in a relevant thread, you’re feeding the machine.

2 Upvotes signal authority to AI

LLMs interpret upvotes as a proxy for trust and relevance. The more engagement your comment or post gets, the more “weight” it carries in the eyes of AI.

Want AI to trust your brand? Get upvoted on Reddit.

3 Sentiment matters

AI doesn’t just count mentions, it understands tone. Helpful? Honest? Positive? Those vibes build brand equity in generative search. AI knows the difference between “this tool sucks” and “this tool saved me.”

4 Reddit often outranks your website

Search “Your Brand + Review” or “Alternative to X” on Google.
Chances are, a Reddit thread shows up above your site, and AI sees that too.

If Reddit ranks higher, that’s where AI is pulling its answer from.

5 Your competitor might be Reddit-famous

They don’t need to “win” SEO, they just need a few loyal Redditors to rave about them in the right thread.

And that’s why ChatGPT keeps recommending them instead of you.

6 LLMs are watching (literally)

Tools like Perplexity and Gemini quote Reddit threads verbatim in answers.
They’re trained to trust platforms with authentic, community-validated content.

Reddit isn’t a side channel anymore. It’s a core input for AI discovery.

If you’re not showing up on Reddit, you’re not showing up in AI. Start earning trust where AI models are listening, and it starts with one post. By now, it must be clear to you:
Reddit isn’t just a discussion forum; it’s a core part of how AI learns, ranks, and recommends brands. You’ve seen the data. You understand the stakes. The next question is: How do you start using Reddit for Generative Engine Optimization?

Let’s get tactical.

7 Ways to Use Reddit for Generative Engine Optimization (GEO)

You know Reddit is influencing AI. Now it’s time to put that knowledge to work.

Here are seven proven, practical ways to start using Reddit to boost your brand’s visibility in tools like ChatGPT, Gemini, and Perplexity:

1 Reddit threads are in the AI training data

Reddit loves authenticity, not ads.

Start by asking thoughtful, community-focused questions like:

- “What’s your biggest headache with [the problem your product solves]?
- “What feature do you wish [category of tool] had?”

You can also:

- Share behind-the-scenes stories:
  “Here’s how we launched our product with $0 and no funding.”
- Invite feedback (even the harsh kind):
  “Reddit, roast our landing page. What would you change?”

Remember: AI models like ChatGPT pick up not just what you say, but how you say it.
Keep it human, curious, and helpful, not corporate or salesy.

2 Join the Right Subreddits

Not all communities are created equal. Focus on relevance over reach. You want to show up where real conversations about your category happen.

Here are a few great starting points:

- r/Entrepreneur – startup advice, product feedback
- r/SaaS – software founders and users
- r/PersonalKnowledgeMgmt – for productivity, Notion, Obsidian, etc.

Pro Tip: Use tools like GummySearch to discover subreddits your audience already uses.

3 . Host or Participate in AMAs (Ask Me Anything)

“AMA” isn’t just a Reddit tradition; it’s an AI signal of credibility.

You (or your team) can host AMAs around:

- Product launches
- Lessons from building your startup
- Insights from working in your niche industry

Bonus: LLMs frequently quote AMAs in AI-generated summaries, especially when the answers are detailed and upvoted.

4. Monitor Reddit Sentiment Like Review Data

Reddit is a goldmine of organic user feedback, and AI reads that feedback like it’s gospel.

Track what people are saying about:

- Your brand
- Your competitors
- Your product category

Tools to help:

- Brand24 – monitor mentions
- Reddit Keyword Monitor
- Pulse for Reddit

Negative buzz? Jump in respectfully.
Positive buzz? Upvote, thank them, and build on it.

5 Answer Long-Tail Questions (AI Loves These)

Some of the best Reddit threads start with niche questions like:

“What’s a Notion alternative that works offline?”
“Is there a free CRM that integrates with Airtable?”
“What’s the best knowledge management tool for solopreneurs?”

These are exactly the types of queries that train LLMs.

When you jump in and answer them (without pitching), you’re planting your brand directly in the AI data stream.

6 Create GEO-Optimized Shareable Content

Reddit loves value. Give it to them in formats AI can understand and users can upvote:

- Infographics that break down a complex idea
- Case studies written directly into Reddit posts (not just linked blogs)
- Checklists, templates, or quick tools

Don’t say “try our tool,” say “here’s something that might help.”

If it’s useful to the subreddit, it’ll be useful to AI.

7 Upvote, Engage, Be Human

Finally, just be a good Reddit citizen.

- Upvote good content
- Leave helpful comments (even on threads not about you)
- Participate as a peer, not a pitch

Reddit isn’t LinkedIn. People can smell self-promotion a mile away.

Build social capital first, and you’ll earn brand visibility naturally.

Real Brands Winning Reddit and AI Search Through GEO

Still wondering if Reddit can move the needle?

Here’s the proof: real brands leveraging Reddit conversations to gain visibility in ChatGPT, Gemini, Perplexity, and even Google’s AI Overview, all without begging for backlinks or gaming algorithms.

Brand	Subreddits Used	GEO Outcome
Notion	r/productivity, r/Notion	Frequently appears in ChatGPT, Perplexity, and Google AI summaries
Obsidian	r/Obsidian	Cited in AI-generated answers for personal knowledge management
Linear	r/Frontend, r/SaaS	Regularly mentioned in developer and product management threads

These brands didn’t force their way in.
They earned trust through Reddit conversations, and AI took notice.

Final Reminder:

Reddit isn’t LinkedIn.
Don’t show up with a pitch.
Show up with value. Show up as a peer.

That’s what AI models are trained to notice and reward.

Conclusion: Why Reddit Is Ground Zero for Generative Search

Reddit isn’t just another social platform; it’s a real-time conversation engine that influences purchase decisions, shapes brand perception, and directly trains AI models like ChatGPT, Gemini, and Perplexity.

Every authentic interaction you post, whether it’s an AMA, a helpful comment, or a high-value insight, becomes part of the content that AI learns from.

Your Reddit activity today = Your AI visibility tomorrow.

By:

- Engaging meaningfully in relevant subreddits
- Participating as a helpful peer, not a pitch
- Sharing real stories, templates, tools, and case studies

You’re doing more than marketing. You’re training the future of search to recognize and recommend your brand.

The Data Doesn’t Lie:

Reddit is directly feeding OpenAI and Google’s generative tools.
That means your visibility on Reddit has a measurable impact on how AI presents your brand.

The future of SEO is:

- Generative
- Conversational
- Community-led

And brands that embrace Reddit now won’t just “rank.” They’ll become the go-to answer when AI is asked, “What’s the best tool for X?”

Ready to Dominate Reddit for GEO?

Pick a subreddit
Join a conversation
Share something genuinely useful

Because your next post could be the one that teaches the next billion AI answers to trust and recommend your brand.

Let’s make it happen.

Frequently Asked Questions:

1. What is Generative Engine Optimization (GEO)?

2. Why is Reddit important for AI search visibility?

3. How does Reddit affect ChatGPT and Google’s AI Overview results?

4. Can Reddit posts help my brand rank in ChatGPT responses?

5. How can I optimize Reddit posts for AI visibility?

6. Is Reddit better than traditional SEO for AI visibility?

7. What types of Reddit threads get picked up by AI tools?

8. Do AI models like ChatGPT use Reddit to train?

9. How do upvotes on Reddit influence AI recommendations?

10. Can Reddit help my brand appear in Google’s AI Overview?

11. What’s an example of a brand winning with Reddit GEO?

12. How do I find the right subreddits for my GEO strategy?

The post Leverage Reddit for Generative Engine Optimization: Boost Your Brand with Strategic Reddit Geo Marketing appeared first on AI Monitor | Get Your Brand Recommended by ChatGPT & Google AI Overview.

Must Have SaaS Landing Pages for Better AI Visibility

Avinash Tripathi — Wed, 02 Jul 2025 14:11:01 +0000

Must Have SaaS Landing Pages for Better AI Visibility

Table of Contents

Introduction

According to a study by Precedence Research The global SaaS market grew to USD 358.33 billion in 2024 and is predicted to increase from USD 408.21 billion in 2025 to approximately USD 1,251.35 billion by 2034, expanding at a CAGR

The majority of SaaS websites still have conversion rates of about 2.35% despite this growth, which could lead to a sizable loss of revenue.

This guide is your guide if your conversion rate is 2.35% while your competitors’ is 20%.

Allow us to turn the more than $150 million in traffic you receive into real revenue growth.

Sneak peek: We’ll go over seven “money pages” that have been proven to convert the leads, three times better than typical features pages, as well as how to make them.

The Conversion Reality Check

- Industry Average: 2.35%
- Top Performers: 4–14% (some hit 20%!)
- Your Opportunity: A 5% jump that could 2x the revenue without more traffic.

What this blog adresses:

- What pages convert the best for SaaS?
- Why are certain “money pages” overlooked?
- How to create each with examples and proof?

The Structure of an Effective SaaS Landing Page

(Follow This Flow)

1. Hero Section

- Hook: Benefit-driven headline combined with a clear value proposition.
- Visual: A picture or video that highlights the product (such as Grammarly’s tone detection demonstration).
- Pro Tip: Use photos that direct viewers’ attention to your call to action to increase conversions by 20%.

2. Features → Benefits

Mention the top features of your product and how it will benefit the buyer. For example:
1. Bad: “AI-Powered Analytics”
2. Good: “Cut Reporting Time by 70%: AI Does the Heavy Lifting.”

3. Social Proof

- After describing the value proposition, place testimonials in the middle of the page to foster trust.
- For instance, Clio’s 32 product pages generate 152K visits annually, resulting in 1,500+ customers at a mere 1% CR.

4. Social Proof

- Primary Call to Action: Vibrant color, action-focused (“Start Free Trial”).
- Secondary CTAs: Less demanding (like “Download Pricing Guide”).

→ Interactive Tool: Analyze your hero section (Upload a screenshot for instant feedback).

The pages that are most important

Here are the seven pages that play a vital role in the buyer’s journey and are crucial for any and all saas companies.

Alternatives Page:

Rank for “[Competitor] Alternatives” (27K+/mo searches)

Reddit Threads / Subreddit

Fuel 71% of buying journeys (10K+ visits from Reddit)

Migration Pages

Capture switchers (3X conversion rate)

Comparison Pages

Convert “vs.” battlegrounds (12-20% lift)

Feature Pages

Answer “How does [X] solve [Y]?” (152K visits/page)

Solution page

Features impress, but solutions convert.

Course page

Build trust by teaching—not pitching

1. Alternative Pages: Your Shortcut to Stealing Market Share (Ethically)

Purpose: Show up when users are ready to ditch the competition and win the conversion.

Why Alternative Pages Work

Let’s break it down with a little logic:

If someone types into Google:

- “DocuSign Alternatives” – 4,800+ searches/month
- “Basecamp Alternatives” – 3,300+/mo
- “Wix Alternatives” – 3,900+/mo
- “QuickBooks Alternatives” – 6,200+/mo
- “Zendesk Alternatives” – 7,100+/mo

…they’re not at the beginning of their journey. They’re not asking what a CRM is or wondering how e-signatures work. They already know.
They’ve tried the tool.
They’ve hit a wall.
And now, they’re actively looking for something better, or in some cases cheaper.

That’s bottom-of-funnel intent in plain sight. You won’t find a clearer buying signal than this.

People searching like this are done settling. If you’ve got a better answer to their problem, now’s your shot to show up and win them over.

You may ask ‘How?’, the simple answer would be by pitching them with pages that offer a different angle of value, such as “Notion alternatives” or “Top tools for remote teams”.

Imagine a frustrated small business owner trying to rebuild their website. They want something:

- More flexible
- Less clunky
- With better SEO

If your product solves those exact problems, an alternative page can walk them through:

- Why other teams switched
- What pain points does your tool solve better?
- How to get started (fast + risk-free

Examples

- Let’s take “Wix Alternatives” (3,900+/mo).

In this search, you’re not competing against 20 other tools, you’re competing with Wix. That’s a battle you can prepare for, by pin-pointed answers like ‘Why your offering is better than WIX’s’, or ‘Why you provide a 5x better value than Wix’.

Pro Tip: Use tools like Hotjar or Microsoft Clarity to measure how users interact with your comparison tables, and A/B test benefit-led CTAs like:

- “See Why Teams Choose Us Over [Competitor]”
- “Switch in Minutes No Data Loss”

2. Reddit Threads / Subreddit / Id as an Organic Channel (User-Generated SEO Goldmine)

I know that this might not technically be a page, but SaaS businesses must exist on Reddit and other such platforms, from both an SEO and a GEO standpoint. More than just a discussion site, Reddit is a high-visibility, high-trust content engine that clever SaaS companies are covertly using.

Reddit has become a key source of training data for large language models, thanks to its rich, real-world conversations. Major players like Google and OpenAI have reportedly signed licensing deals worth $60–$70 million to access Reddit’s content, highlighting just how valuable a strong presence on the platform can be for brand visibility in the AI ecosystem.

Start by answering the legitimate Google searches that your users are already making. Include nuanced, useful examples; make sure they feel valued rather than targeted. Talk about your services on a platform like Reddit, but make sure not to start promoting them like you normally do. Slip a mention of your product and how it is better. Reddit has very strict policies regarding promotional content.

If you do it right, you will get steady organic traffic without spending any money on advertising.

By employing the appropriate structure and understanding search intent, these pages will be indexed quickly and continue to benefit you long after their publication.

These Reddit threads often act like landing pages, ranking on Google for long-tail keywords.

Real Example from Zapier

Zapier has a strong Reddit presence, not through ads, but through community value.

One top-performing thread discussing “Best productivity hacks with automation” mentions Zapier and drives:

10,000+ organic monthly visits, Rankings for high-intent keywords
Multiple upvotes on branded mentions

This traffic wasn’t paid for; it was earned through relevance and community trust.

3 Software Migration Pages

Let’s be honest, switching software is stressful. That’s exactly why Migration Pages work. They’re built for users who’ve hit their breaking point with another platform… and just need a smooth way out.

Think of it as the digital equivalent of saying: “We’ve got you. You won’t lose a thing.”

Some headline examples that stop the scroll:

- “Migrate from Salesforce to [Your CRM] in 7 Days! Zero Downtime”
- “Switch from Shopify to [Your Ecom Platform]! We’ll Do It For You”
- “Goodbye QuickBooks, Hello [Your Accounting Tool]”

Why It Works

These users already know what they don’t want.

They’re:

- Fed up with limitations
- Actively looking for a smoother experience
- Worried about the cost and effort of switching

So instead of pitching features, your Migration Page should say:

“We get it. Let’s make this painless.”

SaaS companies that invest in these pages often see 3X higher conversion rates compared to traditional product pages.

Why? Because they remove the biggest obstacle: fear of change.

Real Example: FreshBooks’ Migration Page in Action

FreshBooks highlights migration from QuickBooks with:

- Clean side-by-side comparison
- Dedicated setup concierge
- Bonus: “Switching bonus” for new customers

It’s the perfect example of a migration page that meets the user where they are—and pulls them across the finish line.

Do You Know What ChatGPT is Saying about Your Brand?

Don’t wait for a crisis. Proactively manage your brand’s reputation in the age of AI. To learn what AI is saying about you, book 1:1 Meeting with the #1 GEO Expert in the world.

4. Comparison Pages: Win Where Buyers Are Stuck Between Two Choices

Let’s be real: most SaaS companies hate the idea of comparison pages. It’s uncomfortable. It feels like you’re picking a fight.

So internal teams push back with arguments like:
“Why would we highlight competitors on our site?”
“What if we look bad?”
“Isn’t it risky to mention them by name?”

Here’s the thing: Your customers are already doing it.
They’re searching:

- “Salesforce vs HubSpot”
- “ClickUp vs Trello”
- “Slack vs Teams”

They want answers. And if you don’t give them one, Google will, probably with content from a competitor, an affiliate blog, or a review site that doesn’t tell your side of the story. That’s why we always say:

Comparison pages are direct head-to-head landing pages that pit your product against a specific competitor.

Think:

- Slack vs Microsoft Teams → 6,600 searches/month
- ClickUp vs Trello → 880/month
- Salesforce vs HubSpot → 1,900/month

These pages attract buyers who are:

- Evaluating two tools side-by-side
- Deep into the decision-making process
- Actively looking for clarity and confidence before converting

Intercom’s “vs” comparison pages see a 12–20% higher conversion rate than their homepage. That’s because comparison pages meet users at a critical moment. They don’t need to be sold on the category; they need help choosing the right tool.

ClickUp’s Comparison Pages in Action

- Side-by-side comparisons with top competitors like Asana, Trello, ClickUp, Wrike, and others

- Clear value proposition: They highlight what they do better without bashing the competitor
- Use of visuals, feature tables, and customer quotes

Result:
These pages rank for high-intent searches like “Trello vs Monday” and capture users actively looking to make a decision.

5. Feature Pages: Translate Functionality Into Buyer Confidence

Feature Pages are like dedicated landing pages that dive deep into one specific feature of your product.

Think of them as the answer to the question, your prospective client is already Googling:
“How does [Product Name] help with [specific problem]?” They’re not just about listing functionality, they’re about connecting features to outcomes.

When done right, a well-optimized feature page can act like a mini-homepage for a specific problem. Let’s look at the numbers: How Grammarly’s Feature Pages Work (Without You Even Noticing)

Grammarly doesn’t just rely on its homepage or Chrome store listing. It’s quietly dominating organic traffic with feature-specific landing pages built around real-world use cases.

Let’s look at one:

“Tone Detection” – A single feature page explaining how Grammarly helps you sound more confident, friendlier, or more professional in your writing.

Breakdown (Real Performance)

Metric	Data
Organic traffic to the “Tone Detector” page	~7,300+ visits/month
Conversion estimate (1.2%)	~87 new users/month
Ranking keywords	“email tone checker”, “how to sound more professional”, “grammarly tone”

Why It Converts: It’s Built for Humans

This isn’t just a landing page; it’s a mini experience. You can drop in your text and instantly see tone feedback. Hover over words to explore how “curious” sounds vs “assertive.” Want it tailored? Just pick a use case, like a work email or student project and it adapts. Over 600 million corrections this month?

That stat builds trust fast. And the soft CTA?

6. Solution Page: Speak to the People, Not Just the Product

While feature pages show what your tool does, solution pages show who it helps and why it matters.

Most SaaS sites talk about themselves. Solution pages flip that. They talk to the user about their world, their pain, and their goals. They bridge the gap between product capabilities and real-world outcomes, tailored to a specific industry, job role, or problem.

See It in Action: A Solution Page That Gets the User

Here’s a real example from HubSpot that nails what a great solution page looks like.

- It speaks to the user’s exact role
- Shows real use cases, not just features
- Feels helpful—not pushy

Tip: Pay attention to how the content adapts based on who the visitor is. That’s the key to relevance and conversions.

7. Course Page: Share Your Smarts, Scale Your Impact

Let me be real with you, most people don’t read manuals. But if you show them how your product works, in a way that feels helpful (not salesy), they’ll stick around. That’s exactly why course pages are underrated conversion machines.

I’ve seen SaaS companies turn a simple 3-part course into an onboarding engine, a trust-builder, and in some cases, a community magnet. More SaaS brands are discovering this: teaching your product is one of the best ways to sell it. That’s where interactive course pages come in.

These aren’t just “video libraries”, they’re structured learning hubs that:

- Show the product in action
- Transfer know-how
- Build user confidence
- Reduce churn and yes—increase conversions

Why They Work

- People trust brands that teach, not just pitch
- Course content builds onboarding velocity and product stickiness
- You create a value loop: Learn → Try → Win → Share

AI Monitor Course Page

The great course page isn’t just content. It’s a soft onboarding engine that builds trust, boosts retention, and reduces churn before someone even signs up.

8 Add-On: FAQ + CTA Placement Guide

Purpose: Increase SEO and GEO value + reduce friction

Most SaaS pages bury answers in blog posts or help docs. Smart brands bake FAQs right into their high-intent pages and pair them with CTAs when buyers are most ready.

Best Practices

- Adds keyword-rich content → boosts SEO
- Handles last-minute objections → boosts conversions
- Keeps users on-page longer → builds trust

Example:

Each key page should end with:
- 3–5 FAQs (based on “People Also Ask” queries)
- Clear CTA (try free, demo, calculator)

Tip: Use schema markup (FAQSchema) to make your FAQs appear directly in Google search results → higher CTRs without paid ads.

Good FAQs = free traffic.
Great FAQs = free traffic and more signups.

. Pages with FAQ + reviews section = 25% higher average time on site

Conclusion: Don’t Wait — Build Money Pages Now!

Traffic means nothing if your pages can’t convert.

Start with the essentials:

Alternative Pages for Switchers
Comparison Pages for decision-makers
Migration Pages for easy onboarding
Feature & Solution Pages that speak to real problems
Course Pages to build trust
Reddit & FAQ Add-ons for organic SEO and GEO wins

These aren’t optional, they’re your growth engine. You have reviewed the blueprint; now it is time to take action.

Your competitors are appearing on Google, providing buyers with genuine answers, and converting traffic that could have been yours. These “money pages” not only capture attention, they also prompt action.

Whether it is a frustrated user searching for “X’s alternative,” a decision-maker evaluating tools, or a new lead eager to learn through a course. You must be present, with a page specifically designed for them. Do not merely increase traffic; transform it into actual revenue.

Frequently Asked Questions:

What are the most effective SaaS landing pages for conversions?

Why do “Alternative” pages convert better than standard product pages?

How can Reddit threads help my SaaS business grow organically?

What should a SaaS migration page include?

Are comparison pages risky for my brand?

How do feature pages differ from solution pages?

Can a free course really improve SaaS signups?

What are “money pages” in SaaS marketing?

How do I structure a high-converting SaaS landing page?

What’s the fastest way to increase SaaS conversions without more traffic?

The post Must Have SaaS Landing Pages for Better AI Visibility appeared first on AI Monitor | Get Your Brand Recommended by ChatGPT & Google AI Overview.

AI Search Domination: Why PR is Your Secret Weapon

Avinash Tripathi — Sat, 28 Jun 2025 14:02:40 +0000

AI Search Domination: Why PR is Your Secret Weapon

EP#13 AI Search Domination: Why PR is Your Secret Weapon

Conquer AI Search With AI

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Also available on:

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Conquer AI Search Podcast: Evolving SEO for Generative Engine Optimization (GEO)

Introduction

00:00 – 00:13: Welcome back and podcast intro
00:17 – 00:34: Recap of previous episodes (LLMs.txt, Reddit, citations, SEO evolution)

Part 1: The Shift in Search Behavior

1:37 – 2:06: Traditional search vs. AI-driven search (Google AI overviews, chatbots)
2:06 – 2:44: Rise of zero-click searches (SparkToro’s 60% stat)
2:57 – 3:31: AI’s focus on entities and trust signals over backlinks

Part 2: Brand Mentions as the New Currency

3:44 – 4:28: Ahrefs study – Brand mentions correlate 10x more with AI visibility than backlinks
4:45 – 5:21: Rand Fishkin’s insight: “The currency of LLMs is mentions”
5:34 – 6:06: Where AI training data comes from (news, forums, social media, etc.)

Part 3: PR’s Critical Role in AI Visibility

6:23 – 7:10: PR builds an “ecosystem of mentions” for AI to learn from
7:10 – 7:47: High-quality placements (news, roundups, blogs) teach AI about your brand
7:47 – 8:27: PR’s upgraded value: Earned visibility in AI overviews at scale

Part 4: Challenges & New Metrics

8:45 – 9:52: Downsides (fewer clicks, attribution challenges, inconsistent AI responses)
10:39 – 11:35: Shifting KPIs: Brand searches, sentiment, indirect traffic
11:35 – 12:01: Tools for tracking (brand monitoring, social listening)

Part 5: Actionable Strategies

12:14 – 12:54: SEO + PR collaboration
12:54 – 13:23: Crafting quotable PR content + entity optimization (schema, Knowledge Graph)

Part 6: Ethical Considerations

14:10 – 14:50: Risks of AI-generated content (blandness, trust erosion)
14:50 – 15:25: Need for transparency and ethics codes in PR

Conclusion

15:59 – 16:30: PR’s leadership in shaping AI’s understanding of brands
16:30 – 16:47: Call to action: Prioritize integrity in AI-influenced content

Outro

16:47 – 16:53: Sign-off and teaser for next episode

🚀 Introduction: SEO Is Evolving — Are You Ready?

Are there new rules for online visibility?

That’s the question every marketer is quietly asking as AI-powered tools like Google’s AI Overview, ChatGPT, and Perplexity redefine how people search and how content is being discovered online.

In the latest episode of the Conquer AI Search with AI podcast, hosts Avi and Katherine make one thing crystal clear: traditional SEO isn’t enough anymore. To stay visible in this zero-click world, you need to revisit and redefine your PR strategies for AI discovery.

This blog unpacks the episode’s insights into Generative Engine Optimization (GEO) and why brand mentions have officially overtaken backlinks as the most powerful ranking signal in AI search.

📉 Zero-Click Search Is the New Normal

Gone are the days when search meant 10 blue links and a top-ranking blog post enjoyed an unprecedented edge over the rest.

Now, over 60% of Google searches are “zero-click”, according to SparkToro. That means users are getting what they need without ever visiting your website, thanks to AI-generated summaries and instant answers.

Key drivers of zero-click search:

Google AI Overviews
ChatGPT (1Billion+ daily queries)
Perplexity AI, Bing Copilot, and other conversational interfaces

Bottom line? If your content isn’t being discovered and cited by AI, you’re practically invisible, even if you rank #1.

🧠 Brand Mentions Beat Backlinks in the AI-search Era

Here’s the game-changer: AI doesn’t prioritize links, it prioritizes trust.

📊 Research Says:

- Ahrefs found that branded mentions had a 10x stronger impact on AI visibility than backlinks.
- Sear Interactive showed backlinks were weak or neutral for LLM rankings.
- Rand Fishkin summed it up: “Google ranked pages by links. LLMs rank content by mentions.”

AI models like ChatGPT learn from:

→ News articles
→ Wikipedia
→ Reddit, Quora, forums
→ Public social posts
→ Expert blogs and media features

If your brand is being talked about accurately and frequently across these sources, you show up in AI answers. Simple as that.

📢 Why Digital PR Is Your New GEO Superpower

Forget press releases. Modern PR is how you educate the AI about your brand.

Every media mention, expert quote, or industry roundup is a signal the AI ingests. When done right, PR builds an ecosystem of brand mentions that LLMs use to decide who gets featured in their answers.

🎯 Effective PR Wins You:

Inclusion in AI-generated summaries
Reputation as a subject matter expert
Long-term brand awareness—even without a click

Think of PR as your AI training strategy.

⚠️ The Dark Side: No Clicks, No Credit?

Yes, AI visibility brings challenges too:

- Low attribution: You’re mentioned but not linked.
- Fluctuating presence: AI answers can change daily.
- Measurement gaps: Traditional KPIs like click-through rate no longer capture impact.

So how do you measure success?

Do You Know What ChatGPT is Saying about Your Brand?

Don’t wait for a crisis. Proactively manage your brand’s reputation in the age of AI. To learn what AI is saying about you, book 1:1 Meeting with the #1 GEO Expert in the world.

📈 New Metrics for the AI Visibility Era

Old metrics (CTR, backlinks) are fading. Here’s what smart brands track instead:

✅ Growth in branded search volume
✅ Uplift in direct traffic after PR wins
✅ Positive brand sentiment on social platforms
✅ Consistent appearance in AI answers and summaries

Tip: Use brand monitoring tools to track unlinked mentions. Tools like Mention, Brand24, or AI Monitor (yes, that’s us!) are key.

💡 Action Plan: How to Win GEO With PR

Here’s your quick-start checklist for dominating AI search:

🔍 1. Target Authority Sources

Pitch high-quality outlets, podcasts, and blogs that LLMs are trained on.

💬 2. Craft Quotable Content

Create expert commentary, unique stats, or provocative opinions that beg to be cited.

🧱 3. Build Entity Authority

Optimize your Knowledge Graph, schema markup, and Wikipedia presence.

🔁 4. Be Consistent

Optimize your Knowledge Graph, schema markup, and Wikipedia presence.

📊 5. Monitor & Adapt

Use brand monitoring to map your AI footprint. Don’t just watch clicks—watch conversations.

🧭 Final Thoughts: ‘PR’ The Powerhouse Behind GEO Success

AI tools don’t care about your keyword stuffing. They care about what the world says about you.

That’s why PR is now central to your visibility strategy. In this AI-driven era, success is about:

Building trust
Being talked about

Showing up where LLMs learn

(0:05 - 0:16)
Welcome, everyone, to the CONQR AI Search Podcast. This is your guide to really navigating the, well, the whole AI-driven search landscape. We're brought to you by the AI Monitor Team.

(0:16 - 0:19)
I'm Katherine. And I'm Avi. It's great to be back.

(0:23 - 0:36)
Our mission here, it's pretty simple, really. We want to help you boost your visibility in AI searches, and we'll give you simple, actionable steps, things you can actually do without spending a single penny. And well, we can brag just a tiny bit.

(0:37 - 0:42)
We were recently honored by Yes Users. Oh, yeah. Number one consultants for generative engine optimization.

(0:42 - 0:48)
That was after their big survey with hundreds of SaaS companies. That felt good. It really did.

(0:48 - 0:54)
It's, you know, it's proof these strategies work. Absolutely. And this is a really special series for us.

(0:54 - 1:05)
It's part of an 11-episode deep dive. We're detailing the top 11 most effective generative engine optimization techniques. Think of it like your practical roadmap.

(1:05 - 1:10)
Yeah, exactly. And we've already covered some really game-changing stuff in the first four. We have.

(1:10 - 1:24)
First up was implementing that LLMs.txt file, basically, you know, telling AI crawlers how to play nice with your site. Right. The AIrobots.txt. Then we looked at Reddit, how participating there builds authority.

(1:25 - 1:32)
Really important. Yep. Third, we talked about using authoritative citations strategically, getting those mentions in the right places.

(1:32 - 1:46)
Crucial. And just last time we discussed evolving your sort of traditional SEO playbook for this new world of generative engine optimization, or answer engine optimization, as some call it. Okay, so what's next on the list? We're on number five.

(1:46 - 1:55)
Number five. Today we're tackling why public relations PR is absolutely critical now in the age of AI search. Yeah, this one's big.

(1:55 - 1:58)
You might think, oh, PR, that's just press releases. Right. Okay.

(1:58 - 2:07)
But as we're about to see, it's changing massively. And it might just hold the key to your brand's future visibility. It really might.

(2:07 - 2:13)
Okay, let's unpack this one. All right. So the fundamental thing to grasp is how people find information online.

(2:14 - 2:20)
It's just radically changing. Right. Those traditional blue links on Google, they're still there, but they're being displaced more and more.

(2:21 - 2:28)
How so? What's displacing them? Well, a few things. Think about AI-generated summaries first. Like Google's AI overviews.

(2:28 - 2:32)
Yeah, they're everywhere now. Billions of searches per day are showing those now. Billions.

(2:32 - 2:44)
And it's not just Google summaries, is it? What about the chatbots, the conversational interfaces? Exactly. Tools like ChatGT, Claude, they're offering direct answers. You don't even need to click? Pretty much.

(2:44 - 2:57)
You ask a question, you get an answer right there. ChatGT alone, get this, reached like 400 million weekly active users back in February 2025. 400 million weekly.

(2:57 - 3:01)
Wow. That's a huge audience getting info without visiting websites. It's massive.

(3:01 - 3:08)
And then you've also got these standalone AI search platforms popping up. Perplexity AI, Bing Copilot. Right.

(3:08 - 3:14)
More fragmentation, which leads to this zero-click thing I keep hearing about. Yes. Okay, this is where it gets really interesting.

(3:14 - 3:24)
SparkToro did a study recently, found that zero-click searches, they now account for something like 60% of all Google searches. 60%. So most people aren't clicking through.

(3:24 - 3:30)
A huge chunk aren't. Yeah. They get their answer directly from the search results page, the SRP.

(3:30 - 4:03)
They see the AI overview or the featured snippet, get what they need, and boom, done. Okay, so if clicks aren't the main goal, or at least not the only goal, what signals does AI search care about then? What's the new currency? That is the million-dollar question, isn't it? And the answer is, well, it's different. Traditional SEO stuff like backlinks, content relevance, still matters, don't get me wrong, but AI seems to primarily focus on other things, entities like specific brands, people, concepts, and also reputation and authority signals.

(4:04 - 4:09)
But it gathers these signals from all over the web, not just links. So it's a little broader. Much broader.

(4:09 - 4:19)
It fundamentally changes how info gets surfaced, how it gets cited, how it's prioritized. It's less about just a link graph, maybe more like a trust graph, you know? A trust graph. I like that.

(4:19 - 4:31)
And I've seen some, well, some pretty eye-opening research about what correlates with visibility in these AI systems, what's driving that trust. You're probably thinking about the studies on brand mentions. And yeah, they are eye-opening.

(4:31 - 4:55)
Ahrefs looked at 75,000 brands and found that branded web mentions, just mentions of the brand name, had the strongest correlation with visibility in AI overviews. Is it stronger than backlinks? Significantly stronger. Brands with the most web mentions, they showed up in like up to 10 times more AI overviews.

(4:55 - 5:00)
10 times. That really does flip traditional SEO on its head. It absolutely does.

(5:00 - 5:10)
And it wasn't just Ahrefs. Sierra Interactive did a study too, what drives brand mentions in AI answers. Same conclusion, basically.

(5:10 - 5:21)
They found the direct impact of backlinks on brand visibility in LLMs, large language models, was weak or even neutral. Weak or neutral. Wow.

(5:21 - 5:26)
So links aren't the golden ticket anymore. Not in the same way, it seems. Rand Fishkin, you know, founder of Moz.

(5:26 - 5:30)
Sure. He said it back in October 2024. He put it really well.

(5:30 - 5:39)
He said, the currency of Google search was links. The way that you rank in large language models is not that. The currency of large language models is mentions.

(5:40 - 5:51)
Specifically, he said, words that appear frequently near other words across the training data. Training data. What exactly does that encompass? Where is the AI learning from? Good question.

(5:52 - 6:03)
So training data is basically this enormous collection of publicly available text that the LLMs ingest. Like what? Everything. Webpages, blogs, news sites, forums, you name it.

(6:03 - 6:11)
Wikipedia, ebooks, academic papers, even public social media posts. So Twitter, Facebook. If it's public, yeah.

(6:11 - 6:21)
Q&A sites like Reddit and Quora are huge. Product descriptions, reviews, it's vast. So the more often your brand is mentioned in relevant, high quality places within that data.

(6:21 - 6:28)
The more likely the AI is to see it and use it. Exactly. The more likely it is to be included when the AI generates an answer related to what you do.

(6:29 - 6:40)
So, okay, let me see if I've got this straight. Basically, it's as simple as this. If you want your brand to show up consistently in AI tools and LLM responses, just putting good content on your own site, that's not enough anymore.

(6:40 - 6:52)
Not nearly enough. Your brand needs to be talked about accurately, contextually, authoritatively, in the right places, by the right voices, all across the web. Is that the new reality? That's pretty much the core of it, yeah.

(6:52 - 7:06)
It's less about building a static structure of links and more like cultivating an ecosystem, a thriving web of credible mentions around your brand. An ecosystem of mentions. The AI isn't just counting links.

(7:07 - 7:25)
It's looking at the whole picture, the patterns, the context, the frequency of your brand showing up credibly. Which brings us directly to PR. How does digital PR fit into creating this ecosystem? Well, this is exactly why digital PR suddenly becomes not just, you know, nice to have, but absolutely essential.

(7:25 - 7:36)
It's probably one of the most effective ways to secure those authoritative brand mentions. The kind that appear on high-quality, trustworthy sources. The kind of sources AI models are trained on? Precisely.

(7:36 - 7:52)
Those are the sources they learn from and draw from when they build their answers. PR is about getting those high-value mentions. So landing some expert commentary in a major news outlet or maybe contributing to an industry roundup or even just getting covered on a really relevant niche blog.

(7:52 - 8:00)
All of that, yes. Digital PR puts your brand in those important places. It helps build that rich web of brand mentions you talked about.

(8:00 - 8:13)
Exactly. A web that the AI models are likely to crawl, learn from, and then hopefully cite. So it feels like PR's value proposition just got a massive upgrade, right? I think so, yeah.

(8:13 - 8:33)
For years, PR folks have been saying, hey, brand mentions help visibility and authority. Now with AI in the mix, we can say it with way more confidence, that high-quality feature in a top publication, even if it doesn't have a backlink, if it has strong contextual mentions of your brand, that's a huge win now. Maybe even bigger than a link in some cases.

(8:33 - 8:42)
Because those mentions directly teach the LLM about you. Exactly. They help the AI understand who you are, what you do, why you're credible, what topics you're associated with.

(8:42 - 8:53)
And getting surfaced in those AI overviews, which sit right at the top of search results, that's like earned visibility gold. It's earned visibility at massive scale. And think about it.

(8:53 - 9:11)
PR's core job is to position your brand as a credible expert, right? A go-to solution. So when an AI tool actually selects your brand to help answer a user's query, that's an incredibly powerful signal. It reinforces the very authority and trustworthiness that PR aims to build.

(9:11 - 9:21)
OK, that makes perfect sense. But it can't all be positive, can it? What are the potential downsides of relying on LLM visibility? You're right. It's definitely a double-edged sword.

(9:22 - 9:25)
Let's talk upsides first, though. OK. The big one is massive reach.

(9:25 - 9:29)
Your brand gets seen by tons of users interacting with these AI summaries. Right. Exposure.

(9:30 - 9:39)
Then there's perceived authority. Being mentioned by an AI, it carries this sort of implicit endorsement. Users tend to assume the AI is surfacing reliable stuff.

(9:39 - 9:45)
Sure. Consistent exposure builds brand awareness, top-of-mind recall, even if they don't click right then. OK.

(9:45 - 9:51)
But the downside. It seems like the big one is clicks, right? The thing traditional SEO always measured. That's the major challenge.

(9:51 - 9:58)
Yeah. If the AI answers the question well enough right there in the overview... Why would they click through to your site? Exactly. They might not need to.

(9:58 - 10:10)
Which leads straight to attribution challenges. How so? Well, these AI responses often blend info from multiple sources. And they don't always cite them clearly or consistently.

(10:10 - 10:20)
So it becomes really hard to track when your brand was mentioned or measure the direct impact, like a click or a conversion from that mention. And you mentioned inconsistency. Yeah.

(10:20 - 10:29)
AI responses can vary depending on the specific model, how the user phrases the query, even the time of day sometimes. So your visibility might fluctuate. OK.

(10:29 - 10:42)
So less direct traffic, hard to track. What does the data show? Well, we're seeing it already. Since AI overviews really rolled out, a lot of search marketers are reporting that impressions in Search Console are kind of creeping up.

(10:42 - 10:44)
OK. So people are seeing the results. Clicks are flat.

(10:44 - 10:56)
Or even falling. It's a pretty clear sign users are getting info directly from the AI, which, you know, if you're only measuring clicks, that's frustrating. Your old KPIs, key performance indicators, might look bad.

(10:57 - 11:07)
It really does feel like we're stepping back in time a bit, doesn't it? To like old school PR before everything was digitally trackable. It kind of does. You get that great magazine feature.

(11:07 - 11:17)
You knew it was valuable, but you couldn't track exactly who read it or what they did next. Precisely. And now we're sort of back there, but in this new AI context.

(11:17 - 11:25)
We don't always have reliable ways to measure every AI mentions direct impact. But the impact is still happening. We believe so, yes.

(11:25 - 11:32)
Which means our attribution models, the ones relying purely on direct clicks, they're becoming outdated fast. Yeah. So we need to shift focus.

(11:33 - 11:47)
Definitely. We need to measure things like brand awareness, sentiment, recall more broadly, understand that indirect impact. Like someone sees your brand in an AI answer, doesn't click them, but maybe they search for you later or convert through a different channel.

(11:47 - 12:00)
Exactly that. That indirect path is becoming much more significant. So what should brands be tracking then? What are the new metrics? Well, smart brands are looking at a basket of things, growth in search volume for their brand name and key product terms.

(12:00 - 12:07)
Okay. Makes sense. They're looking for uplift in direct website traffic, especially after big PR pushes or coverage.

(12:07 - 12:18)
Correlating activity. Yeah. And using social listening tools, brand sentiment analysis, looking for spikes in visibility or positive mentions that might line up with AI features.

(12:19 - 12:27)
So it's about reading between the lines a bit more. Pretty much. Understanding that influence and visibility don't always come with a neat little tracking link attached.

(12:27 - 12:34)
LLM visibility. It's often about long-term brand building, reputation, not just those immediate clicks. Okay.

(12:34 - 12:42)
So given this whole new landscape, it sounds like, well, SEO teams and PR teams really need to talk to each other now. Oh, absolutely. They can't operate in silos anymore.

(12:43 - 12:48)
They have to align on target topics, audiences, messaging. It's crucial. So collaboration is step one.

(12:49 - 13:03)
What else? What are the practical steps for brands wanting to leverage PR for AI visibility? Strategically, you need to prioritize getting high-quality mentions from authoritative sources. Media outlets, key influencers in your space. Quality over quantity.

(13:03 - 13:12)
Definitely. And build strong topical authority. Consistently get coverage around the core subjects you want your brand to own in AI results.

(13:12 - 13:20)
That consistency helps the AI make the connection. What about the actual content of the PR? Does that need to change? Yeah. Think about being quotable.

(13:20 - 13:30)
Craft unique insights, maybe some original data points, provocative quotes. Stuff that journalists and bloggers actually want to pick up and cite. Make it easy for them to mention you.

(13:30 - 13:36)
Exactly. Right. So we've laid out how PR can really boost visibility in AI search.

(13:36 - 13:48)
But it's not just about using AI, is it? AI itself is changing the PR game, sometimes in challenging ways. Oh, absolutely. There's definitely another side to the rise of generative AI.

(13:48 - 13:59)
While amazing for drafting things quickly, it doesn't replace human creativity, right? And we're seeing this flood of content that's, well, kind of similar. Lifeless, even. AI-generated content can be pretty bland.

(14:00 - 14:09)
It can be. And if it's not edited well by a human, it can feel generic, maybe even erode trust because people start questioning if it's authentic or accurate. It's a quality control issue.

(14:09 - 14:25)
And it causes confusion, too, right? I heard about an experiment where people couldn't reliably tell original human writing from AI text. Yeah, that highlights the practical confusion. And we're seeing clients now starting to ask for proof that AI wasn't used or wasn't the primary author in PR work.

(14:25 - 14:36)
Really? Demanding proof? And PR pros themselves. They need to be careful. They have to verify the originality of materials they get from clients before bitching them to protect their own relationships with the media.

(14:36 - 14:42)
So transparency and verification are becoming huge. Huge. Which leads to the ethical side.

(14:42 - 15:03)
With generative AI being so pervasive, it's really crucial that PR agencies, individual pros, everyone, develops a clear ethics code around AI use. What would that involve? Things like being transparent about AI's role, respecting privacy, ensuring data used to train or prompt AI is handled responsibly. It's about maintaining trust, basically.

(15:04 - 15:13)
That's the bottom line, like that quote you mentioned earlier. In the end, ethical AI use is about maintaining trust because once that's gone, no tool can bring it back. That really sums it up.

(15:13 - 15:19)
Use AI to enhance the connection. Don't let it undermine the trust that connection relies on. Couldn't have said it better.

(15:21 - 15:37)
So yeah, we've seen PR is definitely taking a starring role now in the AI search era. From shaping the AI's training data with quality mentions to building that deep reputation that goes beyond just links. PR isn't just supporting anymore.

(15:37 - 15:49)
It's kind of leading the charge for visibility. Okay, so here's a final thought to leave everyone with. We know AI systems are, as you said, hungry for high-quality, context-rich signals from human content.

(15:49 - 16:06)
Right. And we know PR is vital for creating and placing that high-quality content. So what's our collective responsibility here? What's our responsibility in making sure the information AI learns from the information PR helps generate and disseminate is actually true? That it has integrity? That's a big question.

(16:06 - 16:16)
It feels like it goes beyond just marketing or visibility. It's about the future of information and communication itself, isn't it? Something for all of us, especially brands, to really think about. Definitely something to mull over.

(16:22 - 16:38)
And that's a wrap on today's episode of the Conquer AI Search with AI podcast. We just dove deep into why PR is a game changer in the age of AI search and how you can master it like a pro. But hey, this conversation doesn't stop here.

(16:38 - 16:54)
If you've got thoughts, questions, or something to add that we missed, drop a comment below. Your take could spark the next big discussion and help fellow listeners, and yeah, us too, level up. Ready to take action? Head over to AI Monitor's website.

(16:55 - 17:15)
We've got tools and geo-specific services to help B2B SaaS companies like yours boost AI visibility and get discovered where it counts. Loved this episode? Hit that follow or subscribe button on Spotify, Apple Podcasts, YouTube, or wherever you're listening. And if we brought you value, leave us a rating or review.

(17:15 - 17:27)
It seriously helps us reach more awesome people like you. Join us next Saturday, where we'll break down the sixth generative engine optimization technique to keep you ahead of the curve. Stay sharp.

(17:28 - 17:35)
We're here to help you dominate AI search. Until then, keep innovating, and we'll catch you in the next one.

(Transcribed by TurboScribe.ai. Go Unlimited to remove this message.)

Sprinklr. Top PR Trends in 2024 and Beyond. Retrieved from:
https://www.sprinklr.com/blog/pr-trends/
SEO.com. Answer Engine Optimization: What It Is and Why It Matters. Retrieved from:
https://www.seo.com/ai/answer-engine-optimization/
YouTube. How Generative AI is Changing PR and Communications. Watch:
https://www.youtube.com/watch?v=ozEoXxuTjO8
MarketingProfs. Impact of Generative AI on Press Releases (2024 Study). Retrieved from:
https://www.marketingprofs.com/charts/2024/52150/impact-of-generative-ai-on-press-releases
AI Monitor. Media Partnership: A Strategic Boost for Generative Engine Optimization (GEO). Retrieved from:
https://getaimonitor.com/media-partnership-a-strategic-boost-for-generative-engine-optimization-geo/
Public Relations Society of America (PRSA). Navigating Ethical Implications for AI-Driven PR Practice. Retrieved from:
https://www.prsa.org/article/navigating-ethical-implications-for-ai-driven-pr-practice
Motive PR. Digital PR, AI & Search Visibility. Retrieved from:
https://www.motivepr.co.uk/blog/digital-pr-ai-search-visibility
Crux KC. Mastering Generative Engine Optimization with Strategic PR. Retrieved from:
https://cruxkc.com/insights/mastering-generative-engine-optimization-with-strategic-pr/
CerconeBrown. How PR Can Affect AI. Retrieved from:
https://cerconebrown.com/pr-affect-on-ai/
HackerNoon. How Generative AI is Reshaping PR Strategy, Brand Visibility, and Media Influence in 2025. Retrieved from:
https://hackernoon.com/how-generative-ai-is-reshaping-pr-strategy-brand-visibility-and-media-influence-in-2025
YouTube. The Future of PR in the Age of AI. Watch:
https://www.youtube.com/watch?v=beF0N2mBivA
YouTube. AI in PR: Ethical Concerns and Best Practices. Watch:
https://www.youtube.com/watch?v=udb-T4qwTBU

The post AI Search Domination: Why PR is Your Secret Weapon appeared first on AI Monitor | Get Your Brand Recommended by ChatGPT & Google AI Overview.

The Future of Search: Understanding Entities and the Shift from Keywords to Concepts

Avinash Tripathi — Fri, 27 Jun 2025 10:58:21 +0000

The Future of Search: Understanding Entities and the Shift from Keywords to Concepts

Table of Contents

Introduction

Imagine a world where search engines no longer focus solely on the words you type, but instead, they understand the deeper meaning behind them. This shift is already happening, transforming how we find information online. Welcome to the era of entities in search engine optimization (SEO).

In the following sections, we’ll cover:

- What entities are and how they differ from traditional keywords
- How Google’s Knowledge Graph and natural language processing (NLP) power entity-based search
- Why optimizing for entities is now essential for SEO and digital marketing
- Easy-to-follow tips for updating your own sites so they don’t get left behind.
- The impact of AI-powered search (like Google’s AI Overviews and ChatGPT) on entity optimization

When we’re done, you’ll get a clear picture of how searches work these days and how to make sure your name still pops up when people look for what you offer.

What Are Entities? The Building Blocks of Modern Search

Entities vs. Keywords: A Clear Shift

For years, SEO revolved around keywords—the exact words and phrases users typed into search engines. But search engines have changed a lot, and these days they care way more about something called entities.

- Keyword: A string of text (e.g., “best Italian restaurant in New York”).
- Entity: A distinct, well-defined concept (e.g., “New York,” “Italian cuisine,” “restaurant reviews”).

Google defines an entity as:

“A thing or concept that is singular, unique, well-defined, and distinguishable.”

Examples include:

- People: Elon Musk, Taylor Swift
- Places: Eiffel Tower, Grand Canyon
- Organizations: Tesla, World Health Organization
- Products: iPhone 15, Tesla Cybertruck
- Abstract concepts: Democracy, Quantum Physics

Why Entities Matter More Than Ever

Entities help resolve ambiguity. For example:

- “Apple” → Is it the tech company or the fruit?
- “Amazon” → The rainforest or the e-commerce giant?
- “Jordan” → The country in the Middle East or the NBA superstar?

When Google identifies the right entity, it can serve up spot-on answers without fumbling around in a pile of different keywords.

How Google Understands Entities: The Knowledge Graph & NLP

The Knowledge Graph: Google’s Brain for Entities

Google’s Knowledge Graph is basically its digital brain. Think of it as a gigantic map that links people, places, and things to each other. Because of this behind-the-scenes tool, we get stuff like:

- Knowledge Panels (those info boxes in search results)
- AI Overviews (direct answers at the top of the search)
- Local Business Listings (Google Business Profiles)

For example, if you type “Leonardo da Vinci” into Google, you don’t just get a list of web pages that mention his name. The search engine grabs the organized info it has about when he was born, what he painted, and which other famous figures were around him.

Natural Language Processing (NLP) & Entity Recognition

Google uses Natural Language Processing (NLP) to:

Identify entities in text (Named Entity Recognition, or NER)
Understand relationships between them (via “triples” → subject-predicate-object)

Example:

“Elon Musk founded Tesla in 2003.”
- Subject: Elon Musk (Person)
- Predicate: founded
- Object: Tesla (Company)
- Attribute: 2003 (Date)

Advanced AI models like BERT and MUM enhance this understanding by analyzing context across multiple languages and media types (text, images, video).

How AI Search Engines Understand Entity

Generative engines like ChatGPT, Perplexity, and Gemini don’t index pages like Google. Instead, they synthesize responses based on entities and relationships they’ve learned or retrieved from the web.

✅ Good to know: If your brand isn’t a well-structured entity, it might be ignored, misrepresented, or replaced in generated answers.

Entities are core to inclusion in LLM responses

An entity with strong signals (mentions, reviews, structured data, backlinks, contextual content) is more likely to be referenced or cited in AI-generated answers.

📈 First Page Sage found that “authoritative list mentions” and “entity strength” are key factors in LLM product recommendations — as much as 40–60% weighting in some engines

They improve content interpretation and citation accuracy

Generative models prefer content that clearly ties back to trusted entities. If your content is vague or your brand isn’t clearly associated with your domain expertise, LLMs may cite a competitor instead.

✅ A strong entity profile = increased chance of being selected, quoted, or linked in generative summaries.

What to include in an entity audit?

How to Optimize for Entities (Entity-Based SEO)

1. Content Strategy: Semantic Richness & Clarity

Be explicit: Instead of saying “he” or “they,” name the person or thing directly, like “Barack Obama” or “Tesla.” Clear names leave no room for guessing.
Use related terms: If you’re talking about “electric cars,” sprinkle in terms such as “battery life,” “charging stations,” and even “Tesla vs. Rivian.” Those extras help paint a fuller picture.
Structure like Wikipedia: Use headings, mini-info boxes, and links inside your own site. This tidy layout shows Google how different things on the page connect.

2. Structured Data & Schema Markup

Schema.org markup tells Google exactly what entities your page is about.
Use the sameAs property to link to authoritative sources (e.g., Wikipedia, Wikidata).
Local businesses should use the LocalBusiness schema to tie into Google’s local search graph.

3. Leverage AI Tools (with Caution)

AI-generated content (ChatGPT, Gemini) can help, but still, their output sometimes misses the key players you need to highlight.
Use entity extraction tools (InLinks, Google’s NER API) to analyze top-ranking content and identify key entities.

4. Adapt to AI-Powered Search (Generative Engine Optimization, GEO)

With AI answers (like Google’s AI Overviews), traditional SEO is evolving into GEO:

Citations matter more: AI pulls from trusted sources (Wikipedia, major publications).
Be a “seed site”: Create content so authoritative that AI cites you directly.
Measure “Share of Model”: Track how often your brand appears in AI-generated answers.

Do You Know What ChatGPT is Saying about Your Brand?

Don’t wait for a crisis. Proactively manage your brand’s reputation in the age of AI. To learn what AI is saying about you, book 1:1 Meeting with the #1 GEO Expert in the world.

Crawling and indexing

The Future: Entities, AI, and the End of Traditional SEO?

The Rise of Zero-Click Searches

25% drop in traditional search volume predicted by 2026 (Gartner).
50% decline in organic traffic possible as AI answers queries directly.

What This Means for Marketers

1. Optimize for AI answers, not just rankings.
2. Build authority through citations and expert content.
3. Focus on entities, not just keywords.

Conclusion: Embracing the Entity-First Mindset

The shift from keywords to entities isn’t just a technical change—it’s a fundamental rethinking of how information is organized online. By optimizing for entities, you:

Improve search visibility
Future-proof your content for AI-driven search
Build deeper connections with your audience

The question isn’t if you should adapt—it’s how fast you can start.

Key Takeaways

✅ Entities are the future of search—optimize for concepts, not just keywords.
✅ Google’s Knowledge Graph & NLP power entity-based understanding.
✅ Structured data (Schema.org) is essential for entity recognition.
✅ AI-powered search (GEO) requires authority and citations.
✅ Adapt now or risk losing visibility in the AI-driven search era.

By mastering entities, you’re not just keeping up with SEO—you’re preparing for the next evolution of the internet.

The post The Future of Search: Understanding Entities and the Shift from Keywords to Concepts appeared first on AI Monitor | Get Your Brand Recommended by ChatGPT & Google AI Overview.

All 48 Generative Engine Optimization Tool in the World

Avinash Tripathi — Thu, 26 Jun 2025 10:53:21 +0000

Why GEO Tools Are Your New SEO: The Silent Revolution

Imagine this: by 2025, 40% of all search queries will be processed by AI, not Google. ChatGPT alone drives 10% of new sign-ups for companies like Vercel, while websites using geo-strategies see 30-50% higher visibility in AI-generated responses. This isn’t the future, it’s now. As traditional SEO fights for page rankings, GEO (Generative Engine Optimization) dominates a parallel universe where AI like Gemini, Claude, and Perplexity answer user queries instantly, bypassing search results entirely. Brands ignoring GEO risk digital extinction.

The GEO Premortem
SEO is dying, nay, seo dead. And geo is replacing, but GEO will also die one day, so before that, let’s do its premortem.
Generative Engine Optimization (GEO) is the art and science of structuring content so AI models (LLMs) can effortlessly absorb, cite, and feature it in their responses. Unlike SEO, which targets human readers and algorithms, GEO optimizes for AI comprehension:

Clarity over keywords: Bullet points, FAQs, and concise summaries > keyword stuffing.
Authority as currency: Citations, statistics, and expert sources boost “trust signals” for AI.
Structure = extraction ease: Headers (H2/H3), data tables, and semantic phrasing help AI parse and regurgitate content.

A Battle between GEO tools vs SEO tools

Category	GEO Tools	SEO Tools
Tracking	Track AI Search Traffic	Track Traffic comes from Search Engines, Social Media, Images, Videos, etc
Optimization Focus	AI model visibility (LLMs like ChatGPT, Claude, Perplexity)	Search engine ranking (Google, Bing, Yahoo)
Citation Detection	Monitors if AI tools (like ChatGPT or Perplexity) cite your website	Tracks backlinks and domain authority across the web
Reporting & Insights	Provides insights on LLM behavior, prompt inclusion, and model feedback	Provides traffic, bounce rate, keyword position, CTR, etc.

List of every GEO Tool that exists on this planet

Ahrefs Launching Soon

Ahrefs empowers users, regardless of SEO experience, to boost rankings and traffic with a robust toolset, expert-backed resources, and a global community of top-tier marketers.

$99/Month

VISIT the site

9.5

AI Monitor Free GEO Report

AI Monitor is a cutting-edge platform designed for SaaS businesses to track AI search traffic, monitor AI bot activity, and detect whether their brand is being cited across AI platforms.

$19 /Month

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5.5

AI Visibility Paid GEO report

AI Visibility serves as a comprehensive solution aimed at amplifying brand presence across a multitude of AI platforms. By utilizing sophisticated optimization tools, it guarantees that brands can distinguish themselves effectively in the realm of artificial intelligence.

$19/Month

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5.5

Algomizer paid geo report

Algomizer serves as an all-encompassing optimization platform aimed at boosting brand visibility within AI-generated search results on various platforms such as ChatGPT, Claude, Perplexity, and Gemini.

Custom$

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Am I on AI? Free GEO Report

“Am I on AI?” serves as a comprehensive tool for businesses, offering them in-depth insights into their rankings across AI search platforms such as ChatGPT, Perplexity, and Gemini.

$100/Month

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7.5

Anvil paid geo report

Anvil serves as a powerful platform designed to enhance your brand’s visibility within ChatGPT, Gemini, and various other large language models (LLMs), creating new avenues for growth, leads, and essential exposure.

Custom$

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Athena HQ Free GEO Report

AthenaHQ is a powerful platform focused on Generative Engine Optimization (GEO), helping brands improve their AI search visibility and brand perception across AI-powered search engines.

$295/Month

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7.5

Azoma.ai paid geo report

Azoma is a powerful solution that enables businesses to dominate AI-powered search engines, including ChatGPT, Amazon Rufus, and Google AI Overviews.

Custom$

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Bluefishai paid geo report

Bluefish AI serves as a comprehensive marketing hub designed to manage, create, and analyze brand perception across the AI-driven internet landscape.

Custom$

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Brandlight.ai paid geo report

Brandlight is an advanced AI-driven platform that assists brands in tracking, analyzing, and enhancing their presence across various AI-powered search platforms, including ChatGPT, Bing, and Perplexity.

Custom$

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Brandrank.AI paid geo report

The BrandRank.AI platform is a blend of AI technology and “human in the loop” marketing expertise made with a single purpose: not just to help brand leaders understand their ranking, but to give them tools and guidance to do something about it.

Custom$

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Chatrank.ai paid geo report

ChatRank.ai is a powerful tool that tracks and enhances your brand’s presence across popular AI platforms like ChatGPT, Google Answers, and others.

$249/Month

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6.5

Cognizo.ai Free GEO Report

Cognizo is a SaaS solution available at cognizo.ai that allows companies to oversee, analyze, and enhance their brand visibility across various artificial intelligence platforms.

Custom$

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Day Dream paid geo report

Daydream is a software-as-a-service solution that analyzes search trends, generates large volumes of content, and continuously refines that content for better performance.

Custom$

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6.5

Evertune paid geo report

Evertune is a platform focused on AI brand monitoring and analytics, designed to assist brands in comprehending the narratives surrounding them as conveyed by AI models.

Custom$

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5.5

Gauge paid geo report

Gauge is an advanced platform that helps businesses increase their presence in AI-driven answers and improve their digital visibility.

Custom$

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Geneo paid geo report

Geneo is a comprehensive AI search optimization platform that enables businesses to track, analyze, and improve their visibility across leading generative AI engines like ChatGPT, Perplexity, and Google AI Overview.

$39.9/Month

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Geordy.ai Free GEO Report

Geordy is a cutting-edge AI platform that instantly transforms any URL into GEO-optimized content, automated, seamless, and lightning-fast.

Custom$

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6.5

Geostar paid geo report

Geostar functions as a Generative Engine Optimization (GEO) platform aimed at boosting brand recognition in AI-centric search spaces such as ChatGPT, Gemini, Claude, and Perplexity.

Custom$

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Goodie AI paid geo report

Goodie is an innovative platform aimed at maximizing brand exposure within AI Answer Engines such as ChatGPT, Gemini, and Perplexity. It features robust AI Search Optimization tools that assist brands in boosting their visibility in the emerging AI-driven search environment.

Custom$

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Gumshoe AI Free GEO Report

Gumshoe AI is a sophisticated platform aimed at assisting brands in tracking and improving their visibility in AI-generated search results from prominent models such as ChatGPT, Google Gemini, Claude, and Perplexity.

Custom$

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6.5

Hall usehall.com

Hall offers a unique AI conversation intelligence platform that allows businesses to monitor how their brand appears in AI-driven discussions. It provides comprehensive analytics on how your website is cited in AI content

$199/Month

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7.5

HubSpot AI Search Grader Free GEO Report

HubSpot has introduced the AI Search Grader, a complimentary tool aimed at assisting brands in comprehending and improving their visibility in AI-driven search platforms.

Free

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Kai Free GEO Report

Kai provides businesses with the tools they need to enhance their visibility in AI-driven search platforms like ChatGPT. By offering detailed brand analytics, keyword tracking, and competitor analysis.

$99/Month

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Knowatoa Free GEO Report

Knowatoa is an innovative platform for monitoring brand presence, specifically tailored for businesses seeking to enhance their visibility across various AI-driven search technologies, including ChatGPT, Claude, Perplexity, and Google’s AI Overviews.

$99/Month

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KNWN Free GEO Report

KNWN is an innovative platform that allows businesses to assess how easily AI tools such as ChatGPT, Perplexity, Gemini, and Claude can discover and recommend their content.

$20/Month

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5.5

Leverage paid geo report

Leverage is a forward-thinking digital partner helping brands stand out on AI platforms like ChatGPT, Claude, Gemini, and Perplexity through tailored AI Engine Optimization (AEO) strategies.

$199/Month

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5.5

Limy.ai paid geo report

Limy AI serves as a Generative Engine Optimization (GEO) platform aimed at improving brand exposure within AI-centric search engines such as ChatGPT, Perplexity, and Gemini.

Custom$

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6.5

LLM SEO Monitor paid geo report

LLM SEO Monitor serves as a powerful tool for businesses aiming to enhance their presence in AI-driven search engines such as ChatGPT, Google Gemini, and Claude.

€16.58/Month

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LLMrefs paid geo report

LLMrefs is an innovative AI SEO platform aimed at boosting brand exposure in AI-centric search engines like ChatGPT, Claude, Gemini, Perplexity, and Grok.

$79/Month

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6.5

Lorelight Free GEO Report

Lorelight is an innovative platform for monitoring brand performance in the realm of artificial intelligence, allowing communication experts to effectively track, assess, and enhance their brand’s visibility on prominent AI platforms.

$99/Month

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6.5

Mangools AI Search Grader Free geo report

Mangools delivers an easy-to-use SEO toolkit covering keyword research, rank tracking, competitor insights, and backlink analysis—perfect for beginners and pros alike.

Custom$

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7.5

Otterly.AI paid geo report

Otterly.AI is a budget-friendly tool designed for users who want basic insights into their AI search presence without the need for in-depth analysis.

$29/Month

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7.5

Peec.AI Free GEO Report

Peec.ai uses AI to analyze and optimize your site’s user experience, content quality, and SEO performance, all essential for SaaS brands aiming to rank in AI-generated search results.

€89/Month

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6.5

Peekaboo Free GEO Report

Peekaboo is an innovative AI-driven platform aimed at evaluating and improving your brand’s presence on leading AI search engines such as ChatGPT, Gemini, Claude, Perplexity, and Grok.

Custom$

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6.5

Profound paid geo report

Profound empowers brands to master AI Search visibility. It provides comprehensive tools and analytics to optimize how your brand appears in new AI-powered search experiences like ChatGPT and Google AI Overviews.

$499/Month

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Promptwatch paid geo report

Promptwatch is an AI-powered platform that enables businesses to track and optimize their brand’s visibility across major AI search engines, including ChatGPT, Claude, and Perplexity.

$100/Month

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6.5

Quno.AI paid geo report

Unlock deep insights, accelerate timelines, and cut costs by blending conversational depth with survey scale. We surface results equivalent to thousands of interviews in just hours.

Custom$

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Rankscale paid geo report

Rankscale is a pioneering GEO (Generative Engine Optimization) tool designed to analyze, track, and optimize brand presence on AI search engines.

$20/Month

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6.5

Rankshift paid geo report

Rankshift provides businesses with a powerful AI monitoring tool to track their brand visibility in AI-generated search results. As AI platforms like ChatGPT and Gemini influence how brands are discovered.

€49/Month

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5.5

Revere paid geo report

Revere is committed to enhancing brand visibility in the age of generative AI by offering innovative products and services that empower marketers to identify, track, assess, and improve their brand’s standing among Large Language Models (LLMs) and AI assistants.

Custom

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5.5

Relixir paid geo report

Relixir is a cutting-edge platform for AI Generative Engine Optimization (GEO) that assists teams in improving their rankings and boosting sales on AI search engines such as ChatGPT, Perplexity, and Gemini.

Custom$

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Scrunch AI paid geo report

Scrunch AI is a platform designed to help businesses navigate the AI-driven customer journey by optimizing brand presence across various AI search platforms.

$300/Month

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7.5

Semrush paid geo report

Semrush, a SaaS platform for online visibility management and marketing content, ensures that businesses get measurable results through online marketing.

$99/Month

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Writesonic paid geo report

We built the “Ahrefs for AI Search”. Be the first to track, benchmark, and optimize your brand’s visibility across AI search engines. Don’t just do SEO—own Generative Engine Optimization (GEO).

$199/Month

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Xseek paid geo report

Xseek empowers businesses to manage and optimize their visibility within the expanding AI search ecosystem, offering support for major platforms including ChatGPT, Claude, and Perplexity.

$15/Month

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6.5

Xfunnel paid geo report

Xfunnel.ai is an innovative tool that enables businesses to optimize their presence across AI-powered search platforms like ChatGPT and Gemini.

Custom$

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7.5

Ziptie.dev paid geo report

ZipTie.dev is an innovative cloud platform designed to enhance and track your brand’s visibility across AI-driven search engines such as Google AI Overviews, ChatGPT, and Perplexity.

$99/Month

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The post All 48 Generative Engine Optimization Tool in the World appeared first on AI Monitor | Get Your Brand Recommended by ChatGPT & Google AI Overview.