Answer engine optimization Archives | AI Monitor | Get Your Brand Recommended by ChatGPT & Google AI Overview https://getaimonitor.com/category/answer-engine-optimization/ Get Your Brand Recommended by ChatGPT & Google AI Overview Fri, 11 Jul 2025 06:07:37 +0000 en-US hourly 1 https://wordpress.org/?v=6.8.1 241119154 How to Get Featured in Google’s AI Overview? Tools and Strategies for 2025 https://getaimonitor.com/how-to-get-featured-in-googles-ai-overview-tools-and-strategies-for-2025/ https://getaimonitor.com/how-to-get-featured-in-googles-ai-overview-tools-and-strategies-for-2025/#respond Mon, 07 Jul 2025 12:36:42 +0000 https://getaimonitor.com/?p=16945 How to Get Featured in Google’s AI Overview? Tools and Strategies for 2025 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 […]

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

AI Overview

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
Instructor Avinash Tripathi

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. 

Book 1:1 Meeting with #1 GEO Expert

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:

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]]> https://getaimonitor.com/how-to-get-featured-in-googles-ai-overview-tools-and-strategies-for-2025/feed/ 0 16945 Answer Engine Optimization Tools: The Shocking Truth About AI Monitor https://getaimonitor.com/top-10-game-changing-answer-engine-optimization-tools/ https://getaimonitor.com/top-10-game-changing-answer-engine-optimization-tools/#comments Fri, 25 Apr 2025 10:23:02 +0000 https://getaimonitor.com/?p=11846 Answer Engine Optimization Tools: The Shocking Truth About AI Monitor Introduction: Simplify the AI Maze with Answer Engine Optimization Tools Raise your hand if you’ve ever: Wasted hours tweaking for SEO, only to watch Google’s AI Overviews bury your content.  Panicked as competitors hijacked ChatGPT answers while your brand vanished. Wondered if “AEO tools” are […]

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Answer Engine Optimization Tools: The Shocking Truth About AI Monitor

Top 10 AEO Tools

Introduction:

Simplify the AI Maze with Answer Engine Optimization Tools

Raise your hand if you’ve ever:

  • Wasted hours tweaking for SEO, only to watch Google’s AI Overviews bury your content. 
  • Panicked as competitors hijacked ChatGPT answers while your brand vanished.
  • Wondered if “AEO tools” are just SEO tools with a ChatGPT sticker slapped on.

You’re not alone. In 2024, Answer Engine Optimization tools (AEO tools) have become the lifeline for brands fighting algorithmic oblivion. Forget “ranking”—today’s battle is about owning AI-generated answers across ChatGPT, Claude, and Google’s AI Overviews.

What Are Answer Engine Optimization (AEO) Tools?

AEO tools are AI whisperers—software designed to optimize your content for Answer engines, not just search engines. While SEO tools chase keywords, AEO tools:

  • Decode AI preferences (Why does Gemini cite your competitor for “sustainable packaging”?)
  • Track sentiment (Is Claude.ai calling your software “buggy” or “best-in-class”?)
  • Dominate zero-click answers (77% of queries now end with AI responses, per 2024 BrightEdge data).

Think of AEO tools as your brand’s AI publicist—they teach robots to love (and regurgitate) your messaging.

How to Evaluate AEO Tools: 3 Non-Negotiables

Cut through the hype with this AEO-specific checklist:

1. Multi-Platform AI Tracking

❌ Basic tools: Only monitor Google AI Overviews.

✅ Winning AEO tools: Track ChatGPT + Google AI Overview + Microsoft Copilot + regional players (e.g., China’s ERNIE Bot).

Example: AI Monitor alerts you when Perplexity.ai misquotes your pricing.

2. Sentiment Surgery

❌ Legacy SEO tools: “Your brand is mentioned 12 times!” (Cool, but how?)

✅ Elite AEO tools: Flag emotional tones in AI answers (e.g., “Users ask Gemini why your delivery times ‘suck’”).

3. AI Training Integrations

❌ Static reports: “Your FAQ ranked #8 in ChatGPT last month.”

✅ Game-changers: Tools like Profound auto-generate AI-friendly content briefs based on live prompt trends.

List of Top 10 Answer Engine Optimization Tools

1. AI Monitor
2. Profound
3. Semrush
4. WriteSonic
5. Otterly.AI
6. SERanking
7. RankScale
8. BrandRank.ai
9. Nightwatch
10. Ziptie.dev

Top 10 Answer Engine Optimization Tools to Dominate AI Search: A Comprehensive Guide

Spoiler: #1 Takes the Crown, But Everyone Deserves a Spotlight

The rise of Answer Engine Optimization (AEO) is transforming how brands compete in AI-driven search. To help you stay ahead, we’ve analyzed the top 10 AEO tools—evaluating their features, pricing, and ROI. Let’s explore the contenders.

1. AI Monitor – The Reigning Champion of AEO

"Unmatched Results That Speak for Themselves"

AI Monitor Dashboard Image

Overview:

AI Monitor stands as the premier tool for D2C brands, tech startups, and SEO agencies aiming to excel in Answer Engine Optimization. With its cutting-edge features like real-time sentiment analysis, competitive intelligence, and multi-platform tracking, it delivers unparalleled results for businesses looking to dominate the AI-driven search landscape.

Best For:

  • Monitoring AI platforms like ChatGPT, Claude, Bing AI, and Google AI Overviews.
  • Brands seeking actionable insights to optimize AI-generated responses.

Key Features:

  • Sentiment & Trend Analysis: Understand how AI perceives your brand.
  • Real-Time Alerts: Get notified instantly about brand or competitor mentions.
  • AI Prompt Volume Tracking: Track how often users ask questions in your niche.
  • Pros:

✅ 500% Traffic Growth: Cleanomatics dominated Delhi’s laundry market using AI Monitor.

 ✅ 45% Visibility Boost: Agencies leverage AI as a free marketing engine.

 ✅ Intuitive Dashboards: No technical expertise is required.

Cons:

❌ Limited Customization: Focuses on speed over granular control.

Pricing:  Custom.

Verdict: The undisputed leader in AEO tools, delivering exceptional ROI with multi-platform tracking.

2. Profound – The Oracle for Global Enterprises

"Deep Insights at a Premium Price—Worth Every Migraine"

Profound Dashboard Image

Overview:

Profound is a high-end analytics suite designed for Fortune 500 brands. It combines AI conversation tracking with predictive modeling to help enterprises dominate global brand visibility. Think of it as the private jet of AEO tools, offering unparalleled insights into how AI shapes your reputation across platforms.

Key Features:

  • Answer Engine Insights: Monitor real-time shifts in brand perception through AI-generated answers.
  • Agent Analytics: Reverse-engineer how AI scrapes and utilizes your website content.
  • Conversation Explorer: Analyze millions of user-AI interactions to uncover hidden trends (e.g., “Why do users ask ChatGPT about our supply chain?”).

Best For:

  • Global enterprises with seven-figure budgets and in-house data science teams.
  • C-suite strategists, in need of predictive analytics for high-stakes decision-making.
  • Pros:-

✅ Predictive Power: Identifies AI-driven brand risks before they escalate (e.g., PR crises brewing in ChatGPT responses).

✅ Competitor Analysis: Reverse-engineers rivals’ AEO strategies to give you a competitive edge.

✅ Granular Insights: Tracks regional sentiment nuances (e.g., “eco-friendly” in Berlin vs. “budget-friendly” in Mumbai).

Cons:

❌ Not SEO-Friendly: Primarily designed for marketing teams, making it less intuitive for SEO professionals.

❌ Complex Interface: Requires a highly skilled team to navigate its 57 dashboard tabs.

❌ Not SMB-Friendly: Overkill for brands not operating in 10+ markets.

Pricing: Custom (Translation: “If you have to ask, it’s probably out of budget.”)

Verdict: Profound is a powerhouse for enterprise-level AI analytics, offering unmatched insights and predictive capabilities. However, its complexity and high cost make it best suited for large, globally operating brands with the resources to handle its advanced features.

3. Semrush – The Veteran Adapting to the AI Era

"Broad Insights, But Lacks Precision"

Semrush Dashboard Image

Overview:

Semrush, a long-standing favorite in the SEO world, is making strides to adapt to the AI-driven landscape. While it provides broad insights into brand performance, its lack of depth and customization makes it less effective for advanced AEO strategies.

Best For:

  • Semrush is best for entry-level marketers who are trying to conquer AI.
  • Many enterprises looking to integrate AI mentions with traditional SEO strategies.

Key Features:

  • Automatic Prompt Detection: Automatically identifies user queries without manual intervention.
  • SEO Synergy: Seamlessly connects AI mentions with organic search strategies to provide a holistic view.

Pros:

✅ Budget-Friendly: Priced at $99 per domain per month, making it accessible for beginners.

✅ Ease of Use: Simplifies the process of identifying AI-related queries.

✅ SEO Integration: Bridges the gap between traditional SEO and AI-driven search.

Cons:

❌ No AI Prompt Volume Data: Lacks detailed insights into how often users ask AI about your niche.

❌ Limited Depth: Insufficient for real-time decision-making or advanced strategies.

❌ No Custom Monitoring: This does not allow users to track specific prompts or queries for their brand.

Pricing: $99/ per month.

Verdict: Semrush is a solid entry-level tool for those new to AEO, offering broad insights at an affordable price. However, marketers and strategists seeking more granular control and actionable data may find it lacking.

4. WriteSonic – The Content Creator Trying to Be an AEO Tool

"Great for Writing, Awkward for AEO"

Writesonic Dashboard Image

Overview:

WriteSonic is a GPT-4-powered writing assistant that excels at generating AI-driven content but struggles to establish itself as a serious AEO or SEO tool. It’s ideal for small teams looking for quick content creation without diving into advanced analytics, but its lack of depth and limited tracking capabilities make it unsuitable for comprehensive AEO strategies.

Key Features:

  • Answer Engine Tracking: A basic AI agent tracking feature limited to WordPress, Cloudflare, and Vercel.
  • SEO Mode: Includes basic keyword optimization within content workflows.
  • CMS Integrations: Offers integrations for content management systems, though limited in scope.

Best For:

  • Small content teams in need of AI-generated blog drafts and basic SEO metrics.
  • Teams looking for a simple, all-in-one tool for content creation and light SEO.

Pros:

✅ All-in-One Solution: Combines writing, SEO checks, and basic AI tracking in one interface.

✅ Beginner-Friendly: Simplifies AI content creation for non-technical users.

✅ Cost-Effective: A budget-friendly alternative to hiring a dedicated AI content strategist.

Cons:

❌ Repetitive Outputs: Feels like a rehash of free tools, offering little originality.

❌ AEO Blindspots: Lacks guidance for optimizing AI Overviews or regional answer engines.

❌ No Advanced Analytics: Missing critical features like AI search volume data or cannibalization alerts.

❌ Limited Integrations: Does not support popular platforms like Shopify, Webflow, or other modern tech stacks.

Pricing: $199/month (AI tools are only available with the Pro plan).

Verdict: WriteSonic is a great tool for content creation, offering simplicity and affordability for small teams. However, its lack of advanced AEO features and limited integrations make it a poor choice for strategists or teams looking for deeper insights and robust analytics. It’s a content mill’s dream, but a strategist’s nightmare.

5. Otterly.AI – The Budget-Friendly Beginner

"Affordable, but Accuracy Has Its Limits"

Otterly AI Dashboard Image

Overview:

Otterly.AI is a cost-effective tool designed for users seeking basic insights into their AI search presence. It’s a great starting point for those transitioning from traditional SEO to Answer Engine Optimization, offering simplified features to ease the learning curve.

Best For:

  • Individuals or small teams making the shift from SEO to AEO.
  • Users looking for an affordable solution to monitor AI search trends without requiring in-depth analysis.

Key Features:

  • Query Snapshots: Provides beginner-friendly summaries of AI search engine queries for quick reviews.
  • Keyword Conversion: Converts traditional SEO keywords into AI prompts for better alignment with AI-driven search.
  • Volume and Growth Patterns: Tracks AI prompt volumes and growth trends to help users identify emerging opportunities.

Pros:

✅ User-Friendly: Simplifies monitoring by allowing users to focus on specific prompts while the tool handles the rest.

✅ Beginner-Friendly Insights: Ideal for those new to AEO, offering easy-to-digest data.

✅ Cost-Effective: A budget-friendly option for startups and small businesses.

Cons:

❌ Unreliable Results: Frequently misses AI overviews for queries, with inaccuracies often revealed during manual testing.

❌ Limited Tracking: Lacks the ability to monitor AI agents visiting your website.

❌ Clunky Interface: The outdated and cumbersome UI can be frustrating to navigate.

Pricing: $29/month (Limited prompts).

Verdict: Otterly.AI is a solid entry-level tool for basic AEO monitoring, offering affordability and simplicity. However, its reliability issues, limited tracking capabilities, and clunky interface may leave users seeking more robust and accurate solutions as they grow.

6. SERanking – The SEO Veteran Struggling to Evolve

"Stuck Between Traditional SEO and Modern AEO"

SE Ranking Dashboard Image

Overview:

SERanking is a long-standing SEO tool attempting to transition into the world of Answer Engine Optimization (AEO). While it performs well in traditional SEO tasks and Google AI Overviews, it falls short in providing the multi-platform insights required for comprehensive AEO strategies.

Best For:

  • SEO teams focused primarily on Google AI Overviews rather than multi-platform tracking.
  • Businesses that prioritize traditional SEO strategies with some AI integration.

Key Features:

  • Real-Time Alerts: Sends timely notifications for mentions in Google’s AI Overviews.
  • Google Snippet Tracking: Offers precise tracking of Google AI-generated snippets.
  • Traditional SEO Strength: Retains its reliability for classic SEO tasks.

Pros:

✅ Strong SEO Foundation: A dependable tool for teams focused on traditional SEO.

✅ Real-Time Alerts: Keeps users updated on Google AI mentions.

✅ Precision Tracking: Excels in monitoring Google AI Overviews and snippets.

Cons:

❌ Narrow Platform Coverage: Ignores key platforms like ChatGPT, Claude, and Bing AI, leaving major gaps in AEO insights.

❌ Overpriced: At $119/month, it offers limited features compared to competitors.

❌ Limited AI Overview Capabilities: Focuses solely on Google AI Overviews, neglecting other answer engines.

❌ No Monitoring Guidance: Lacks suggestions for which prompts or queries to track.

Pricing: $119/month.

Verdict: SERanking is a solid choice for teams focused on traditional SEO and Google AI Overviews. However, its narrow scope, lack of multi-platform tracking, and high price make it less appealing for those seeking a comprehensive AEO solution. It’s a tool that feels stuck in the past, struggling to keep up with the demands of modern AEO.

7. RankScale – The GDPR-Compliant Specialist

"Precision for EU Markets, but Limited for Global Players"

Rankscale Dashboard Image

Overview:

RankScale is a Vienna-based AEO tool designed specifically for European markets, offering AI search optimization within the strict frameworks of GDPR and the EU AI Act. It’s an excellent choice for EU-based brands prioritizing regulatory compliance over global scalability. Its narrow focus makes it less effective for international campaigns.

Key Features:

  • AI Search Audits: Evaluates content relevance, authority, and technical SEO for AI engines.
  • Competitor Benchmarking: Tracks competitors’ visibility across platforms like ChatGPT, Gemini, and Perplexity.
  • Citation Tracking: Identifies the sources influencing AI-generated answers, with a focus on EU-preferred domains.

Best For:

  • EU-based SMEs needing GDPR-compliant AI search insights.
  • Brands targeting regional markets with strict data privacy laws.

Pros:

✅ Regulatory Compliance: Built from the ground up to align with GDPR and EEA regulations.

✅ Granular Citation  Analysis: Highlights which domains AI trusts, particularly EU-specific sites (e.g., *.eu domains).

✅ SEMrush Integration: Bridges traditional SEO data with AI search insights for a more comprehensive view.

Cons:

❌ Limited Global Reach: Struggles with .com domains and non-EU sentiment trends, making it less effective for US-based brands.

❌ Delayed Updates: Data updates lag by 12–24 hours compared to competitors offering real-time dashboards.

Pricing: The premium model starts at $40/month, with pay-as-you-go credits available for enterprise users.

Verdict: RankScale is a niche tool tailored for EU compliance teams, offering precise insights for brands operating within strict regulatory frameworks. However, its limited global reach and slower data updates make it less suitable for businesses with international ambitions. A strong choice for EU-focused campaigns, but too narrow for global players.

“Where AI transparency meets brand integrity”

Brandrank Dashboard Image

Overview:

BrandRank.ai is a Cincinnati-based platform that combines AI monitoring with human ethical oversight to safeguard brand reputation in AI-generated answers. Trusted by industry giants like Nestlé and the Better Business Bureau, it’s designed for high-stakes reputation management in industries where trust and compliance are paramount.

Key Features:

  • Vulnerability Audits: Identifies risks in areas like sustainability claims, supply chain integrity, and service quality.
  • Competitor Dissection: Benchmarks your brand’s AI search presence against industry rivals.
  • BBB Partnership Integration: Utilizes Better Business Bureau data to enhance trust scoring and reputation analysis.

Best For:

  • Fortune 500 brands managing complex reputational risks.
  • Industries with strict compliance requirements, such as healthcare, finance, and sustainability.

Pros:

✅ Ethical AI Focus: Human experts validate 30% of critical alerts, ensuring accuracy and accountability.

✅ Crisis Prediction: Successfully identified 92% of PR risks during beta testing, even before ChatGPT leaks.

✅ Emerging Niche Applications: Gaining traction in pro sports and entertainment for reputation management.

Cons:

❌ Enterprise-Only Pricing: Starts at $15k/month, making it inaccessible for small and medium-sized businesses.

 ❌ Data Latency: Updates every 24 hours, falling short of real-time monitoring tools like AI Monitor.

Pricing: Custom pricing, typically ranging from $15k to $50k/month depending on the brand’s size and footprint.

Verdict: BrandRank.ai is the gold standard for enterprises that prioritize reputation management and ethical AI oversight. While its robust features and human validation set it apart, its high price point and data latency make it a tool exclusively for large, reputation-conscious organizations with the budget to match.

9. Nightwatch – The SEO Tool in Disguise

"A 2015 SEO Tool Pretending to Be AEO-Ready"

Nightwatch Dashboard Image

Overview:

Nightwatch feels like a repackaged SEO platform trying to pass as an Answer Engine Optimization (AEO) solution. While it offers basic keyword tracking and SERP data, it completely misses the mark on modern AI-era capabilities like multi-platform monitoring or sentiment analysis. It’s a tool stuck in the past, offering little value for those looking to compete in today’s AI-driven search landscape.

Best For:

  • SEO purists who haven’t embraced the shift to AEO.
  • Startups that use “AEO” as an excuse for stagnant traffic.

Key Features:

  • Keyword Tracking: Monitors Google rankings, ignoring the rise of AI-driven search platforms.
  • Backlink Alerts: Notifies you about backlinks that Google likely stopped caring about years ago.
  • Historical Data: Tracks your progress from “Page 2” to… still “Page 2.”

Pros:

✅ Clean Interface: Easy to navigate, even if it lacks modern AI features.

✅ Google Search Console Integration: Useful for those sticking to traditional SEO methods.

✅ Affordable Pricing: Starts at $39/month, appealing to those nostalgic for the early days of SEO.

Cons:

❌ No AI Platform Tracking: Completely ignores platforms like ChatGPT, Claude, and Bing AI.

❌ Outdated Metrics: Focuses on metrics like “domain authority” while AI-driven search dominates.

❌ Keyword Limits: Caps at 250 keywords for the basic plan, making it impractical for competitive AEO strategies.

Pricing:

  • $39/month for 250 keywords.
  • $99/month for 1,000 keywords.

Verdict: Nightwatch is like using a flip phone to fight the Terminator. While it may appeal to those clinging to traditional SEO practices, its lack of AI features and outdated metrics make it irrelevant in the modern AEO landscape. A tool for the past, not the future.

Instructor Avinash Tripathi

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10. Ziptie.dev – The Developer’s Only Friend

"For Coders Who Think GUIs Are Overrated"

Ziptie Dashboard Image

Overview:

Ziptie.dev is an API-first AEO tool designed for engineers who prefer to code their way through AI search challenges. With its no-frills approach, it caters to DevOps teams and startups where technical expertise takes precedence over user-friendly interfaces. Be prepared to write scripts, debug endlessly, and embrace a steep learning curve.

Best For:

  • DevOps teams that thrive on building custom solutions from scratch.
  • Startups where the CTO doubles as the “AI Search Strategist.”

Key Features:

  • API-First Design: Automate AEO tracking, but only after writing hundreds of lines of code.
  • Raw Data Dumps: Provides massive CSV files that are too large for Excel to handle.
  • Custom Alerts: Configure webhook triggers for AI mentions—if you can navigate the sparse documentation.

Pros:

✅ Unlimited Scalability: If you can code it, Ziptie.dev can handle it.

✅ Granular Control: Ideal for building highly customized AEO solutions tailored to your needs.

✅ No Hand-Holding: Designed for developers who enjoy solving problems without tutorials.

Cons:

❌ Not Marketer-Friendly: The UI resembles a Linux terminal on a bad day.

❌ Sparse Documentation: Tutorials assume you’re a tech wizard who doesn’t need guidance.

❌ Expensive: At $679/month, it’s a costly option for something that other tools can do with minimal effort.

Pricing: $79–$679/month (depending on your usage and tolerance for complexity).

Verdict: Ziptie.dev is a powerful tool for developers who value customization and scalability over convenience. However, its steep learning curve, lack of user-friendly features, and high price tag make it a niche choice for those with the technical expertise—and patience—to make it work. If you can onboard without frustration, you might just be a robot.

Key Takeaways

  1. AEO Tools Are Non-Negotiable

    AI Overviews and ChatGPT now influence 43% of purchase decisions (Google 2024). Brands ignoring Answer Engine Optimization tools risk irrelevance as AI answers cannibalize traditional search traffic.

  2. Match Tools to Your Battlefield
  • Startups/SMBs: AI Monitor’s ROI or Otterly.AI’s budget tracking.
  • Global Enterprises: Profound’s predictive analytics or BrandRank.ai’s crisis shields.
  • EU Compliance Teams: RankScale’s GDPR-first approach.

Ease of Use ≠ Sacrificing Depth

Tools like Semrush offer simplicity but lack AEO-specific insights (e.g., prompt volume tracking). Prioritize platforms that balance usability with surgical AI analytics.

Final Thought:

Adopting Answer Engine Optimization tools isn’t about following trends—it’s about ensuring your brand’s survival in the evolving search landscape. With 40% of Google queries now answered directly in AI Overviews and ChatGPT becoming the “homepage” for Gen Z, the shift is already here.

Your AEO Playbook:

  1. Start with AI Monitor: Gain cross-platform tracking and actionable insights.
  2. Add Profound or BrandRank.ai: Scale up with enterprise-grade analytics and reputation management.
  3. Avoid Outdated Tools: Ditch legacy SEO tools like Nightwatch, which fail to address the demands of modern AEO.
LET’S ANSWER THE QUESTIONS

Frequently Asked Questions

The post Answer Engine Optimization Tools: The Shocking Truth About AI Monitor appeared first on AI Monitor | Get Your Brand Recommended by ChatGPT & Google AI Overview.

]]> https://getaimonitor.com/top-10-game-changing-answer-engine-optimization-tools/feed/ 1 11846 Step by Step Guide: How to Create and Implement an llms.txt File https://getaimonitor.com/step-by-step-to-create-and-implement-llms-txt-file/ https://getaimonitor.com/step-by-step-to-create-and-implement-llms-txt-file/#respond Wed, 16 Apr 2025 13:38:10 +0000 https://getaimonitor.com/?p=11074 Did you know that 73% of websites are ignored by AI like ChatGPT and Claude? NOT having a llms.txt file could result in your content being ghosted by Large Language Models (LLMs). Today, we’re diving into something that’s really making waves in the tech world and changing the way AI interacts with the internet. We’ve […]

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Step by Step Guide: How to Create and Implement an llms.txt File

Did you know that 73% of websites are ignored by AI like ChatGPT and Claude? NOT having a llms.txt file could result in your content being ghosted by Large Language Models (LLMs).

Today, we’re diving into something that’s really making waves in the tech world and changing the way AI interacts with the internet.

We’ve looked into a bunch of articles about llms.txt, and our mission today is to clear things up: what they are, why everyone’s talking about them, and – most importantly – what impact they can have on you. We’re also getting into how to actually implement llms.txt, along with some interesting comparisons to familiar web standards like robots.txt. It really gives you a solid snapshot of something fresh and new.

This article is valuable because it’s like getting a head start on understanding something that might become a basic part of the web as AI models get more intertwined with how we search for and use information. And yeah, it’s all happening pretty quickly. Grasping llms.txt could give you a real advantage.

What the H**k is llms.txt?

Think of llms.txt as the younger cousin of robots.txt. It is a simple Markdown-formatted text file you stash in your website’s root directory (yep, right next to robots.txt).  But instead of bossing around search engine crawlers, it’s designed to guide large language models (LLMs) (like ChatGPT, Claude, or Gemini) on how to process your content.

Proposed in 2024 by Jeremy Howard from Answer.ai, llms.txt acts like a CliffsNotes version of your site for AI. It serves 3 primary functions:

  1. Content Prioritization: Highlights your most important pages and resources
  2. Context Provision: Explains your site’s purpose and content relationships
  3. Access Control: Specifies which content should be ignored or treated carefully

In simple words, llms.txt is a handy guide for LLMs during a stage called the inference phase when they’re actually doing their thinking. So, when the AI is coming up with an answer or using what it knows to respond to your question, that llm.txt file gives it detailed instructions. 

It shows the AI which info on the website to focus on and what to pay attention to. The whole point is to provide LLMs with content that’s formatted and organized just for them. It’s all about concise, expert-level info that’s super easy to find.

Why Markdown Format?

You’ve probably noticed preferred format of the llms.txt file is Markdown. So, why is that? Well, it’s pretty simple—Markdown is just super easy to read for both people and machines. It lays out information in a clear and structured way without all the fuss of full-on HTML coding. LLMs don’t have to deal with all those tags and scripts, which is a relief. That simplicity means LLMs can quickly parse it and understand the content with way less confusion, making everything process more efficiently.

Why Does This Matter for You?

You might be thinking, “Sure, this llms.txt file could benefit the folks behind the Large Language Models, but they’re already rolling in dough. So why should I, as a website owner or content creator, even care about it?

Story Time!

In the early days of search engines, lots of media companies tried to shut out Google’s indexing bots. But eventually, they realized they had to be a part of the search engine game. 

Now we’re seeing a similar situation again. There’s a concern that proprietary data could be misused to train LLMs. But can you really afford to miss out on the opportunity? LLM indexing bots might show up on your site.

Cone shape
Triangular cone shape image

My take on this whole thing is, if you can’t beat LLMs, why not team up with them? That’s where llms.txt comes in, and it’s pretty important for businesses, brands, content creators—basically anyone with a website. It gives a bit of control over how AI models can access and use their content, which hasn’t really been a thing until now.

Some experiments show that using llms.txt could help models cite your content more accurately, completely, and in a way that makes more sense. That’s a total game-changer for keeping your online reputation in check. 

It’s like getting a say in how your info pops up in AI responses, which is a big deal! While it’s not guaranteed to boost SEO like traditional methods, but backed by a decent amount of evidence so far. 

Pro Tip

Imagine an AI summarizing a product review page. With a well-structured llms.txt, it could be instructed to prioritize verified customer testimonials and downplay any potentially biased comments from forums. 

This way, the AI directly shapes its output, helping to protect your brand image when someone’s researching your product.

Guiding the AI to the Right Pages

Site owners can also guide AI in prioritizing content, telling it what bits to highlight. For instance, you could even indicate that an article is outdated so the AI understands not to treat it as the latest info.

Plus, if there’s proprietary content or behind a paywall, llms.txt can signal to AI models that it should stay private unless the proper permissions are in place.

Performance Perks

There’s also a perk in terms of server load. If LLMs can get what they need from llms.txt efficiently, they won’t need to crawl the entire site, which is a win for website performance! 

Understanding llms.txt vs. llms-full.txt: What’s the Difference?

I promise this is the last curveball I’m throwing in this article. Before continuing, you should know that llms.txt comes in two flavors. The first one you probably already know is llms.txt, and the second one is llms-full.txt.

The difference between them is pretty interesting.  Let me break it down for you!

Quick vs. Comprehensive

A helpful analogy for understanding the difference between llms-full.txt and llms.txt is comparing it to a book and your study notes. 

llms.txt is a concise version that highlights the most essential parts of your site. Even though there’s no strict rule on how long it should be, keeping it around 5-10 links is suggested. It’s like getting a quick overview of everything your site offers in just one file! 

On the flip side, llms-full.txt is the whole shebang—it’s like trying to pack every tiny detail of your website into one text file.  That level of granular detail can be super helpful for website owners in influencing how LLMs perceive their website.

How Large Language Models Actually Use llms.txt

When a Large Language Model such as OpenAI 4o or Gemini encounters your website, here’s what happens:

  1. The LLM first checks for a large language model text file

  2. If found, it uses this as a guide to understand:
    • Your site’s primary topics and themes
    • Which content is most authoritative
    • How different pages relate to each other

  3. The AI then uses this understanding when:
    • Answering questions that might reference your content
    • Generating recommendations or summaries
    • Deciding whether to include your pages in its knowledge base

Key Differences Between llms.txt and Traditional SEO Files

Feature

llms.txt

robots.txt

sitemap.xml

Primary Purpose

Guides AI understanding

Blocks or allows crawlers

Lists crawlable pages

Format

Markdown

Plain text

XML

Audience

LLMs (ChatGPT, Claude)

Search engine bots

Search engines such as Google or Bing

Content

Priorities + context

Access restrictions

URL inventory

Impact

AI recommendations

Search visibility

Indexing

In short:

  • robots.txt tells search engines what pages to crawl.
  • sitemap.xml provides a full index for search engine bots.
  • LLMs.txt is specifically designed for AI consumption, so models like ChatGPT or Claude can quickly summarise or generate content based on your site.

Creating Your llms.txt File: 5 Easy Steps

Step 1: Planning Your llms.txt Structure

✅ Before writing your file, conduct a content audit to identify:

  1. 🔄 Priority Content: Your 5-10 most valuable pages/resources
  2. 🔄 Secondary Content: Supporting material that adds depth
  3. 🔄 Content to Exclude: Outdated or low-quality pages
  4. 🔄 Content Relationships: How pieces connect (tutorial series, etc.)

Step 2: Writing the File in Proper Markdown Format

✅ Your large language model text should follow this exact structure



# [Your Website Name]  
  
> A concise, one-sentence description of your site's purpose and value proposition.  
  
[Optional: 2-3 sentence elaboration on your site's focus area and audience.]  
  
## Core Content Sections  
  
### [Section Name 1]  
- [Page Title](URL): Brief description of content and its value  
- [Page Title](URL): Why this matters to readers  
  
### [Section Name 2]   
- [Page Title](URL): Content summary and relevance  
- [Page Title](URL): Key takeaways or unique aspects  
  
## Content to Handle With Care  
- [Page Title](URL): Reason for caution (e.g., outdated, controversial)  
- [Directory Path]: Explanation of excluded content  
  
## Additional Context  
[Any other information that would help LLMs understand your content's relationships,
updates, or special considerations.]

Step 3: Refer to our llms.txt Sample Template

Here’s how a cooking blog might structure theirs:



# Plant-Based Kitchen  
  
> Authoritative resource for vegan recipes and cooking techniques since 2015.  
  
Our tested recipes and in-depth guides help home cooks master plant-based cooking, from quick weeknight meals to advanced techniques.  
  
## Recipe Collections  
  
### Beginner-Friendly Meals  
- [15 Minute Vegan Pasta](https://example.com/pasta): Perfect quick dinner with pantry staples  
- [Foolproof Tofu Scramble](https://example.com/tofu): Breakfast staple with customization guide  
  
### Advanced Techniques    
- [Artisan Vegan Cheeses](https://example.com/cheese): 30-day aging process explained  
- [Molecular Gastronomy](https://example.com/molecular): Plant-based versions of classic techniques  
  
## Articles to Update  
- [2018 Nutrition Guide](https://example.com/nutrition): Needs new studies incorporated  
- /old-recipes/: Archive of untested user submissions  
  
## Content Relationships  
- Our "Vegan Basics" series ([Part 1](https://example.com/basics1), [Part 2](https://example.com/basics2)) should be read in sequence  
- Seasonal content is marked with [Summer], [Winter] etc. in titles

Step 4: Technical Implementation

✅ Uploading Your File:

  1. 🔄 File Creation:
    • Use a plain text editor (VS Code, Notepad++)
    • Save as llms.txt with UTF-8 encoding
  2. 🔄 Upload Methods:
    • FTP: Upload to root directory (same level as robots.txt)
    • cPanel: Use File Manager
    • WordPress: Via SFTP or plugins like “File Manager”
    • Static Sites: Commit to repository root
  3. 🔄 Verification:
    • Visit yourdomain.com/llms.txt
    • Check for proper Markdown rendering
    • Validate with tools like MarkdownLint

Step 5: Keep Your llms.txt File Updated

Your website will change over time, so you need to update your llms.txt file regularly to keep your content accurate for chatbots.

✅ When to update?

  • When you add new product pages, blog posts, FAQs or documentation.
  • When you change your website structure.
  • When your chatbot is providing outdated information.

🔄 How to update?
Follow steps 1 to 4 again and replace the old llms.txt file with the new one. Don’t change the name of the new file, it should always be called llms.txt with no prefix or suffix

Advanced llms.txt Strategies

1. Content Prioritization Techniques

Use these methods to signal importance:

  • Order Matters: List the most important content first
  • Section Hierarchy: Use H2 for primary categories, H3 for subcategories
  • Strategic Linking: Include both deep links and category pages
  • Temporal Signals: Add “(Updated 2025)” for fresh content

2. Context Enhancement Methods

Help LLMs understand your content better by:

  • Defining Relationships: “This advanced guide builds on [Beginner’s Tutorial]”
  • Explaining Gaps: “Our 2021 study conclusions were updated in [2024 Research]”
  • Clarifying Intent: “Opinion piece representing author’s view”
  • Linking Related: “Companion video: [YouTube Tutorial]”

3. llms-full.txt for Comprehensive Documentation

For technical sites or documentation, consider adding an llms-full.txt that:

  • Includes complete API documentation
  • Provides detailed technical specifications
  • Offers comprehensive FAQ sections
  • Contains full glossary terms

Example Use Case:
 A software company might use:

  • llms.txt for general navigation
  • llms-full.txt for complete API reference

Measuring the Impact of llms.txt

Key Performance Indicators

Track these metrics to assess effectiveness:

1. AI Referral Traffic

  • Monitor server logs for LLM user agents
  • Set up analytics segments for AI traffic

2. Content Visibility in AI Outputs

  • Test queries in ChatGPT/Claude
  • Track how often your content is cited

3. Engagement Metrics

  • Time on page from AI referrals
  • Conversion rates of AI-driven visitors

4. Search Performance

  • Changes in branded search volume
  • Featured snippet acquisition

Tools for Tracking

  • Google Analytics 4: Custom segments for AI traffic
  • Log File Analysis: Identify LLM crawlers
  • SEO Platforms: Monitor visibility changes
  • Custom Scripts: Track content citations in AI outputs

Real-World Examples of Websites That Use llms.txt

  1. Cohere: Natural Language Processing (NLP) APIs
    Cohere provides state-of-the-art NLP tools and APIs that allow developers to integrate text generation, classification, and semantic search capabilities into their applications. It is widely used for building AI-driven solutions like chatbots and content generation systems.

✅ Cohere llms.txt

2. HubSpot Developers: CRM and Marketing Automation
HubSpot uses LLMs to enhance customer relationship management and marketing automation. Their platform includes AI-powered chatbots, email personalization, and content recommendations to improve customer engagement and streamline marketing efforts..

✅ Hubspot Developers llms.txt
✅Hubspot Developers llms-full.txt 

3. Hugging Face: Open-Source AI and Machine Learning Models
Hugging Face is a leader in the AI community, offering pre-trained LLMs and tools for developers to build and fine-tune models for tasks like text generation, translation, and sentiment analysis. It is a hub for open-source AI innovation.

✅ Hugging Face llms.txt

4. Zapier: Workflow Automation
Zapier integrates LLMs to automate workflows and connect apps. For example, LLMs can be used to summarize emails, generate responses, or extract key information from text as part of automated processes, making workflows more efficient.

✅ Zapier llms.txt 
✅ Zapier llms-full.txt

5. FlowX.AI: Enterprise Workflow Automation
FlowX plays a critical role in AI and is used to optimize enterprise workflows by automating labor-intensive tasks, facilitating intelligent document processing, and improving communications between customers and businesses through large-organizational AI solutions.

✅ FlowX AI llms.txt
✅ FlowX AI llms-full.txt

6. ClearTax: Tax Filing and Financial Services
ClearTax uses AI and LLMs to make tax filing, financial planning, and tax compliance easy for individuals and businesses. Their solution automates everything from complex calculations to personalized recommendations and accurate submissions of taxes.

✅ Cleartax llms.txt

7. Cloudflare: Web Security and Performance
LLMs used by Cloudflare to improve web security and performance. Their tools powered by AI, assist in detecting and mitigating cyber threats, optimizing website performance, and providing intelligent insights for managing web traffic.

✅ Cloudflare llms.txt
✅ Cloudflare llms-full.txt

Future-Proofing Your llms.txt Strategy

Emerging Best Practices

1. Multimodal Content Signaling

  • Adding references to videos, infographics
  • Describing visual content for AI understanding

2. Temporal Context

  • Clear dating of content
  • Version history for evolving topics

3. Knowledge Graph Integration

  • Aligning with schema.org markup
  • Connecting to external authority sources

4. Personalization Hints

  • Audience segmentation cues
  • Prerequisite knowledge indicators

The Road Ahead

As AI search evolves, expect:

  • More sophisticated file formats
  • Two-way communication protocols
  • Standardized evaluation metrics
  • Automated optimization tools

Conclusion: Your AI Visibility Blueprint

Implementing llms.txt represents one of the most impactful yet overlooked opportunities in modern web strategy. By taking the time to:

  1. Properly structure your file
  2. Thoughtfully prioritize content
  3. Provide meaningful context
  4. Maintain and update regularly

You position your website to thrive in an increasingly AI-dominated information landscape. The simple act of adding this file can mean the difference between being invisible to LLMs and becoming a go-to resource for AI-generated answers.

Next Steps:

  1. Conduct a content audit to identify priority material
  2. Draft your llms.txt using our template
  3. Upload and verify proper implementation
  4. Monitor results and refine quarterly

Remember – in the age of AI search, visibility isn’t just about being found; it’s about being understood. Your large language model text file ensures AI systems comprehend and properly represent your content to the world.

LET’S ANSWER THE QUESTIONS

Frequently Asked Questions

The post Step by Step Guide: How to Create and Implement an llms.txt File appeared first on AI Monitor | Get Your Brand Recommended by ChatGPT & Google AI Overview.

]]> https://getaimonitor.com/step-by-step-to-create-and-implement-llms-txt-file/feed/ 0 11074 Generative Engine Optimization (GEO) Tools Are a Scam… Except These 10 (Especially #1) https://getaimonitor.com/top-10-generative-engine-optimization-tools/ https://getaimonitor.com/top-10-generative-engine-optimization-tools/#respond Thu, 10 Apr 2025 14:21:36 +0000 https://getaimonitor.com/?p=10678 Introduction: Marketing pros are drowning in AI-generated noise. Raise your hand if you’ve ever: Wasted hours tweaking SEO, only to realize Google’s AI Overview buried your content. Panicked when a competitor’s brand popped up in ChatGPT’s answers—while yours ghosted. Wondered if “GEO tools” are just SEO tools with a fancy AI sticker slapped on. You’re […]

The post Generative Engine Optimization (GEO) Tools Are a Scam… Except These 10 (Especially #1) appeared first on AI Monitor | Get Your Brand Recommended by ChatGPT & Google AI Overview.

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Introduction:

Marketing pros are drowning in AI-generated noise. Raise your hand if you’ve ever:

  • Wasted hours tweaking SEO, only to realize Google’s AI Overview buried your content.
  • Panicked when a competitor’s brand popped up in ChatGPT’s answers—while yours ghosted.
  • Wondered if “GEO tools” are just SEO tools with a fancy AI sticker slapped on.

You’re not alone. Generative Engine Optimization (GEO) is the new battleground, and most tools are still stuck in 2023. Let’s fix that.

What is Generative Engine Optimization (GEO)?

GEO is SEO’s rebellious younger sibling—it’s not about ranking on Google but dominating AI-generated answers (ChatGPT, Claude, Bing AI). Think of it as teaching robots to love your brand.

How We Evaluated these Tools?

  • AI-Specific Features: Does it track Bing AI and Google AI Overviews?
  • Sentiment Analysis: Are you portrayed as ‘innovative’ or ‘overpriced’ in AI answers?
  • Training: Can it teach your team to hack AI visibility?

Top 10 Generative Engine Optimization Tools (Spoiler: #1 Wins, But Let’s Be Fair)

Generative Engine Optimization (GEO) is the new frontier in digital marketing, and the tools in this space are evolving fast. We’ve reviewed the top 10 GEO tools to help you decide which one deserves your time, money, and trust. Let’s dive in.

1. AI Monitor – The Undisputed GEO Champion

"We’re biased? Maybe. But the results? Undeniable."

AI Monitor dashboard image

Overview:

AI Monitor is ideal for D2C brands, tech startups, and SEO agencies looking to implement Generative Engine Optimization. It excels in real-time brand sentiment analysis and competitive intelligence.

Best For: 

  • Multi-Platform AI Tracking: Monitors ChatGPT, Claude, Bing AI, and Google AI Overviews—because why settle for one?
  • Sentiment & Trend Analysis: Know if AI calls your brand “cutting-edge” or “last season’s news.”
  • Actionable Insights: Receive expert recommendations from our in-house team on how to enhance your AI search performance.
  • Real-Time Alerts: Get notified when AI name-drops your brand (or your competitor).
  • AI Prompts Volume: Keeping track of how often your users are asking relevant questions to the AI.

Pros:

  • ✅ 500% Traffic Surge: Cleanomatics transformed from invisible to unavoidable in Delhi’s laundry wars.
  • ✅ 45% Visibility Boost for Agencies: A GEO firm successfully turned AI into their unpaid hype machine.
  • ✅ User-Friendly Dashboards: Designed for ease of use—no PhD in data interpretation required.

Cons:

  • ❌ Limited Customization: Prioritizes speed over granular control, which may not suit all users.

Price: Custom pricing tailored to deliver maximum ROI, serving clients from Fortune 500 companies to small businesses in Africa.

Verdict: AI Monitor dominates with multi-platform AI search tracking with pricing customized for your market and size so that it can deliver insane ROI.

2. SemRush – The Strategist’s Paradox

"Big picture insights, if you can decipher them."

Semrush dashboard image

Overview: SemRush is a veteran SEO tool that is struggling to adapt to the AI era, providing broad yet shallow insights.

Best For:
SemRush is ideal for C-suite executives seeking macro-level insights about their brands and large enterprises looking to collaboratively revamp their brand strategies.

Pros:

  • ✅ Budget-Friendly: Priced at $99 per domain for basic tracking.
  • ✅ Automatic Prompt Detection: No need to manually identify what users are asking  AI.
  • ✅ SEO Synergy: Effectively connects AI mentions with organic search strategies.

Cons:

  • ❌ No AI Prompt Volume Data: A critical gap for tactical teams needing detailed insights.
  • ❌ Limited Depth: Lacks the necessary depth for real-time decision-making—like using a butter knife in a drone strike.
  • ❌ No Custom Monitoring: You cannot select specific prompts to monitor for your brand.

Pricing: $99 per domain per month.

Verdict: SemRush serves as a useful stepping stone for beginners, but marketers will likely seek more granular control and actionable insights.

3. Otterly.AI – The Budget Trainee

"Affordable, but accuracy comes at a cost."

Otterly AI Dashboard Image

Overview: 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.

Best For: Ideal for individuals or teams transitioning from SEO to Generative Engine Optimization, as it simplifies the process significantly.

Pros:

✅ User-Friendly: Easily monitor specific prompts, allowing the tool to handle the rest.
✅ Query Snapshots: Provides beginner-friendly snapshots for quick reviews of AI search engine queries.
✅ Keyword Conversion: Offers the option to convert your keywords into AI prompts.
✅ Volume and Growth Patterns: Supplies data on AI prompt volumes and growth trends.

Cons:

❌ Unreliable Results: Frequently flagged no AI overviews for many queries, which were proven incorrect upon manual testing.
❌ Limited Tracking: Lacks the ability to track AI agents visiting your website.
❌ Clunky UI: The user interface is cumbersome and difficult to navigate.

Verdict: While Otterly.AI is a cost-effective option for basic monitoring, its reliability issues and limited features may leave users wanting more comprehensive insights.

4. SERanking – The SEO Veteran Playing Dress-Up

"Tries to be GEO, but its heart’s still in 2010 SEO."

SE Ranking dashboard image

Overview: SERanking is a traditional SEO tool attempting to adapt to the evolving landscape of Generative Engine Optimization, but it often falls short in delivering comprehensive insights.

Best For: SEO teams that prioritize Google AI Overviews over multi-platform tracking.

Pros:

✅ Solid for Traditional SEO: A reliable choice for those focused on classic SEO strategies.
✅ Real-Time Alerts: Provides timely notifications for Google’s AI mentions.
✅ Hyper-Focused on AI Overview Responses: Effectively tracks Google snippets with precision.
✅ Tracks Google AI Overviews: While it excels in this area, it neglects other platforms.

Cons:

❌ Narrow Scope: Ignores critical platforms like ChatGPT, Claude, and Bing AI, leaving significant gaps in GEO coverage.
❌ Overpriced: At $119/month, it offers incomplete coverage for the cost.
❌ Limited AI Overview: Only covers Google AI, leaving out other generative engines.
❌ Lacks Monitoring Suggestions: Does not provide guidance on which prompts to monitor.

Verdict: While SERanking may serve traditional SEO needs, its limited scope and high price point make it less suitable for teams seeking comprehensive Generative Engine Optimization insights.

5. Profound – The Enterprise Oracle

"Premium price and deep Insights worth the migraine"
Profound dashboard image

Overview: A luxury analytics suite for Fortune 500 brands, combining AI conversation tracking with predictive modeling to dominate global brand visibility. Think of it as a private jet for decoding how AI shapes your reputation across platforms.

Key Features:

  • Answer Engine Insights: Track real-time brand perception shifts in AI-generated answers.
  • Agent Analytics: Reverse-engineer how AI scrapes and weaponizes your website content.
  • Conversation Explorer: Map millions of user-AI interactions to uncover hidden trends (e.g., “Why do people ask ChatGPT about our supply chain?”).

Best For: Global enterprises with seven-figure budgets and in-house data science teams or C-suite strategists who need predictive analytics for boardroom-level decisions.

Pros:
✅ Nerdy Oracle: Predicts AI-driven brand risks before they trend (e.g., PR crises brewing in ChatGPT responses).
✅ Competitor Dissection: Reverse-engineers rivals’ AI positioning strategies.
✅ Enterprise-Grade Granularity: Track regional sentiment nuances (e.g., “eco-friendly” in Berlin vs. “budget-friendly” in Mumbai).

Cons:
❌ Not Great for SEO Teams: Profoundly is mainly aimed at marketing teams, so it can be tough for SEO folks who don’t have the right tools and strategies to make this shift smoothly. 
❌ Brain-Melting Complexity: Requires a PhD-certified team to navigate its 57 dashboard tabs.
 ❌ No SMB Love: Overkill for brands not operating across 10+ markets.

Pricing: Custom (Translation: “If you’re asking, you can’t afford it.”)
Verdict: “Enterprise friendly AI analytics—unmatched power for those who can handle the maintenance.” 

6. WriteSonic – A Writer Cosplaying as Data Scientist

"Great content writing tool trying to be an SEO tool then trying to be GEO tool!"

Write Sonic dashboard image

Overview: A GPT-4-powered writing assistant awkwardly stretching into SEO and GEO tracking. Ideal for teams that want “AI-driven content” without the hassle of learning proper analytics tools—but don’t expect depth or originality.

Key Features:

  • Generative Engine Tracking: Lite version AI agent tracking only for WordPress, Cloudflare, and Vercel (an interesting choice I must say)
  • SEO Mode: Basic keyword optimization baked into content workflows.
  • CMS Integrations: If you care about this stuff. 

Best For: Small content teams needing AI-generated blog drafts and half-baked SEO metrics 

Pros:
 ✅ All-in-One Illusion: Combines writing, SEO checks, and basic AI tracking in a single tab.
 ✅ Beginner-Friendly: Simplifies AI content creation for non-technical teams.
 ✅ Cost-Effective for Basics: Avoids hiring a $100k/year “AI Content Strategist.”

Cons:
 ❌ ChatGPT Déjà Vu: Outputs feel like reheated free tools (because they are).
 ❌ GEO Blindspots: No guidance on optimizing for AI Overviews or regional answer engines.
 ❌ Missing Muscle: Zero AI search volume data or cannibalization alerts.
 ❌ Patchy Integrations: No love for Shopify, Webflow, or modern tech stacks.

Pricing: $199/month (AI tools gated behind the Pro plan).
Verdict: “A content mill’s dream, but a strategist’s nightmare.” 

7. Rankscale – The GDPR-Compliant Analyst

“Precision for EU markets, limitations for global players.”

Rankscale dashboard image


Overview: A Vienna-based GEO tool laser-focused on European compliance, offering AI search optimization within strict GDPR and EU AI Act frameworks. Ideal for EU brands prioritizing regulatory alignment over global scalability.

Key Features:

  • AI Search Audits: Scores content relevance, authority, and technical SEO for AI engines.
  • Competitor Benchmarking: Tracks rivals’ visibility across ChatGPT, Gemini, and Perplexity.
  • Citation Tracking: Identifies sources influencing AI-generated answers.

Best For:

  • EU-based SMEs needing GDPR-compliant AI search insights.
  • Brands targeting regional markets with strict data laws.

Pros:
 ✅ EU Regulatory Alignment: Built for GDPR/EEA compliance from day one.
 ✅ Granular Citation Analysis: Reveals which domains AI trusts (e.g., *.eu sites favored in EU queries).
 ✅ SEMrush Integration: Bridges traditional SEO with AI search data.

Cons:
 ❌ US Brand Blindspots: Struggles with .com domains and non-EU sentiment trends.
 ❌ Limited Real-Time Data: Updates lag 12-24 hrs vs. competitors’ live dashboards.

Pricing: Freemium model ($40+/month) with pay-as-you-go credits for enterprises.
 Verdict: “A niche player for EU compliance teams, but too myopic for global campaigns.” – Toolpilot.ai

8. BrandRank.ai – The Trust Architect

“Where AI transparency meets brand integrity.”

BrandRank dashboard image

Overview: A Cincinnati-born platform combining AI monitoring with human ethical oversight, designed to protect brand reputation in AI-generated answers. Trusted by Nestlé and Better Business Bureaus for high-stakes reputation management.

Key Features:

  • Vulnerability Audits: Flags risks in sustainability claims, supply chain integrity, and service quality.
  • Competitor Dissection: Benchmarks against industry rivals’ AI search presence.
  • BBB Partnership Integration: Leverages Better Business Bureau data for trust scoring.

Best For:

  • Fortune 500 brands managing complex reputational risks.
  • Industries with strict compliance needs (healthcare, finance, sustainability).

Pros:
 ✅ Ethical AI Focus: Human experts validate 30% of critical alerts.
 ✅ Crisis Prediction: Spotted 92% of PR risks in beta tests pre-ChatGPT leaks.
 ✅ Athlete/Entertainment Niche: Emerging use case for pro sports reputation management.

Cons:
 ❌ Enterprise-Only Pricing: Starts at $15k/month – inaccessible for SMBs.
 ❌ 24-Hr Data Latency: Cannot match real-time monitors like AI Monitor.

Pricing: Custom (typically $15k-$50k/month based on brand footprint).
 Verdict: “The gold standard for reputation-conscious enterprises – if you can afford its MBA-tier pricing.” 

9. Nightwatch – The SEO Tool in Disguise

“A 2015 SEO relic disguising as a GEO tool.”

NIGHT WATCH dashboard image

Overview: Tbh, it feels more like a repackaged SEO platform masquerading as a Generative Engine Optimization (GEO) solution. Tracks keyword rankings and basic SERP data but lacks AI-era capabilities like multi-platform monitoring or sentiment analysis.

Best For: SEO purists and startups using “GEO” as a scapegoat for stagnant traffic.

Key Features:

  • Keyword Tracking: Monitors Google rankings (because ChatGPT is so 2023).
  • Backlink Alerts: Notifies you about domains Google stopped caring about in 2018.
  • Historical Data: Charts your journey from “Page 2” to… still “Page 2.”

Pros:
 ✅ Clean Interface: Distracts you from its lack of AI features.
 ✅ Google Search Console Integration: For those allergic to innovation.
 ✅ Pricing Nostalgia: $39/month to relive the glory days of exact-match domains.

Cons:
 ❌ Zero AI Platform Tracking: Ignores ChatGPT, Claude, and Bing AI.
 ❌ Stone-Age Metrics: Measures “domain authority” while AI eats your traffic.
 ❌ Keyword Limits: 250 keywords? Good luck competing with AI Overviews.

Pricing: $39/month (for 250 keywords RIP GEO), $99/month (1,000 keywords- lmfao).
Verdict: “Like using a flip phone to fight the Terminator.” –

10. Ziptie.dev – The Developer’s Only Friend

“For coders who think GUIs are for losers.”

Zip tie dashboard image

Overview: A no-frills, API-first GEO tool built for engineers who want to manually code their way through AI search chaos. Requires Python prowess, a caffeine IV, and a disdain for marketing teams.

Best For:

  • DevOps teams with a vendetta against user-friendly software.
  • Startups where the CTO moonlights as the “AI Search Strategist.”

Key Features:

  • API-First Design: Automate GEO tracking… after writing 500 lines of scripts.
  • Raw Data Dumps: CSV files so massive, they’ll crash Excel (and your sanity).
  • Custom Alerts: Configure webhook triggers for AI mentions… if you can debug the docs.

Pros:
 ✅ Unlimited Scalability: If you can code it, it’ll work (theoretically).
 ✅ Granular Control: Perfect for building bespoke GEO-CRM-ERP-Frankenstein stacks.
 ✅ No Hand-Holding: Finally, a tool that respects your ability to Google error codes.

Cons:
 ❌ Marketer Kryptonite: The UI looks like a Linux terminal’s angrier cousin.
 ❌ Documentation Black Hole: Tutorials assume you invented the internet.
 ❌ Budget Buster: $679/month to do what AI Monitor does in 3 clicks.

Pricing: $79–$679/month (based on how much pain you can tolerate).
Verdict: “A Turing test for developers—if you can onboard without crying, you’re probably a robot.” 

Key Takeaways

  • Dominate with AI Monitor: Only tool tracking ChatGPT, Claude, and Google AI with real-time ROI.
  • Avoid SEO Has-Beens: SERanking and Nightwatch optimize for a graveyard (aka 2010s SEO).
  • Budget Trap: Otterly.AI is cheap, but its inaccuracies could cost you more than coffee runs.
  • For Coders, Not Marketers: Ziptie.dev is brilliant… if your team speaks fluent Python.

Final Thought:

 If your Generative Engine Optimization tool can’t track beyond Google, you’re still playing Pong in a Fortnite world. Evolve or evaporate. 🚀

LET’S ANSWER THE QUESTIONS

Frequently Asked Questions

The post Generative Engine Optimization (GEO) Tools Are a Scam… Except These 10 (Especially #1) appeared first on AI Monitor | Get Your Brand Recommended by ChatGPT & Google AI Overview.

]]> https://getaimonitor.com/top-10-generative-engine-optimization-tools/feed/ 0 10678 AEO vs SEO: Answer Engine Optimization vs Search Engine Optimization Explained  https://getaimonitor.com/aeo-vs-seo-answer-engine-optimization-vs-search-engine-optimization-explained/ https://getaimonitor.com/aeo-vs-seo-answer-engine-optimization-vs-search-engine-optimization-explained/#respond Mon, 17 Mar 2025 09:21:30 +0000 https://getaimonitor.com/?p=8842 Introduction: AEO vs SEO in the Age of AI-Driven Search Imagine this: You’re Googling “best hiking boots for rocky terrain.” In 2015, you’d scroll through 10 blue links. In 2025? Google’s AI Overview instantly compares top brands, prices, and durability specs—citing sources like REI and OutdoorGearLab—while ChatGPT drafts you a packing list. No clicks, no […]

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Imagine this: You’re Googling “best hiking boots for rocky terrain.” In 2015, you’d scroll through 10 blue links. In 2025? Google’s AI Overview instantly compares top brands, prices, and durability specs—citing sources like REI and OutdoorGearLab—while ChatGPT drafts you a packing list. No clicks, no ads, just answers.

This shift underscores the critical debate of AEO vs SEO, let me tell you: the game’s changed. This is the reality of AI-driven search. Answer Engine Optimization (AEO) isn’t just “SEO’s cool younger sibling”—it’s a survival skill. In this blog, we are going to cover the difference between AEO and SEO.

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Why This Matters Now

84% of Google searches trigger AI Overviews (MarketMuse, 2025).

77% of mobile queries end without a click (SparkToro).

ChatGPT serves 180M+ users monthly, bypassing traditional SERPs (Outreach Monks).

What is AEO? Answer Engine Optimization for AI Search 

If SEO is the librarian who helps you find the right book, AEO is the friend who just hands you the exact page you need. The key difference between AEO and SEO lies in intent: SEO targets rankings, while AEO targets direct answers in AI-generated summaries, voice search, and zero-click results.

Example of AEO:

  • AI Overviews: These are the summaries you see at the top of Google’s search results. Want a deep on on What Google AI Overview is?, visit this post.  
  • Voice Search Responses: Think Alexa, Siri, or Google Assistant answering your questions.
  • Zero-Click Results: Featured snippets that give users the info they need without clicking through.

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Zero-Click Trends

77.22% of mobile searches end without a click, as users get answers directly from SERPs or AI OverviewsSource: SparkToro via On The Map Marketing
40.7% of voice search answers come from AI Overview & featured snippets, emphasizing the need for concise, structured content Source: Backlinko).

If the examples above sound bland to you, let me give you a culinary analogy to explain the concept of Answer Engines. Let’s say you in the good old days, you Google “how to cook medium rare steak” (because we’ve all ruined at least one $20 cut of meat, right?). Search Engine is that friend who sends you 17 recipe links, three YouTube tutorials from bearded grill masters, and a Reddit thread debating the merits of butter-basting vs. dry rubs. You’ll click, scroll past ads for “revolutionary meat thermometers,” and maybe—maybe—find a usable tip buried under someone’s life story about their first BBQ.

Answer Engines on the other hand? That’s Gordon Ramsay materializing in your kitchen, slapping the tongs out of your hand, and barking, “IT’S NOT A SHOEWE, YOU DONKEY!” while showing you the exact sear time, internal temp, and a GIF of how the steak should bleed (politely, like a British aristocrat). No ads, no blogs about “my journey to carnivore enlightenment”—just answers faster than you can say, “But the recipe said 450 degrees?!”

It’s the difference between reading War and Peace and getting a TikTok hack that actually works. AI doesn’t care about your SEO-optimized journey—it’s here to save dinner before your smoke alarm does.

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Story Time!
  How “2 Percent” Gains Massive 200% Increase in Traffic!

So, I have this awesome friend named Michael Easter who used AEO in his newsletter, Two Percent, and it helped him land a listing for the query “how to measure fitness tracker accuracy” on Google AI Overview. His traffic skyrocketed faster than a viral TikTok trend! How cool is that?

SEO: The O.G. Hustler 

Remember, the days when you could boost rankings simply by jamming keywords into every possible nook and cranny? That was the era of keyword stuffing, a strategy that feels almost laughable now. Back then, throwing in “best coffee maker” fifty times was considered savvy. Can you imagine?

But those days are over. Google has outsmarted such tactics. Today’s SEO landscape demands finesse. It’s no longer about being a loud carnival barker; it’s about being an organized librarian. Precision matters. Modern techniques focus on providing genuine value. Engaging content that meets user needs is the name of the game. 

So, bid farewell to the cluttered, repetitive articles of the past. Embrace clarity and relevance instead. The evolution of SEO is a testament to the internet’s growth, pushing for quality over quantity and rewarding those who adapt.

Pro Tip: Even in the Age of AEO, You Can’t Completely Ignore SEO
SEO is like a long-term relationship. You’ve got to nurture it, put in the effort, and keep things fresh. Neglect it, and you’ll find yourself ghosted by Google faster than a bad Tinder date.

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Market Share and Competition

Google holds 93.87% of mobile search traffic, making it the primary focus for AEO/SEO efforts Source: Statcounter 95% of web pages have zero backlinks, but top-ranking AEO content averages 3.8x more backlinks than competitors Source: Backlinko

How to Marry AEO & SEO (My Hacks That Actually Work)

AEO Hack #1: Layer Structured Data on SEO-Optimized Pages

Example: SaaS company FlowPath added HowTo schema to its “Project Management Guide,” earning a 40% CTR boost from position-zero snippets.

AEO Hack #2 Repurpose Top Content for Voice Search

Tactic: Turn “How to Start a Podcast” into a Q&A format targeting Alexa/Google Assistant queries.

AEO Hack #3 Answer Questions Upfront, Then Dive Deep

Use headers like “What is [Topic]?” to capture AEO snippets, followed by detailed SEO-optimized sections.

AEO Hack #4 Build Authority with E-E-AOT (Experience, Expertise, Authoritativeness, Trustworthiness)

Case Study: FinTech startup MoneySphere increased demo requests by 70% by adding “As seen in TechCrunch” badges and founder video explainers.

Hack #5 Optimize for Both Keyword AI Prompts 

Target short-tail keywords (SEO) and long-tail questions (AEO) like “How does AEO work?”.

Hack #6 Repurpose Top Content

Turn blog posts into voice-search-friendly Q&A guides or video summaries.

Hack #7 Leverage Structured Data

Implement FAQ, How-To, and Q&A schema markup to boost AEO visibility. For instance, pages with FAQ schema markup are 50% more likely to appear in Google AI Overview and 30% more likely to appear in ChatGPT and Perplexity AI.

Hack #8 Collaborate With Third Party Review Sites

Third-party reviews and comparison sites such as TrustPilot and ReveiwRecap.io highly influence results generated by Answer Engines. As per our latest study, 43% of consumers use Answer Engines to ask for reviews before purchasing or visiting local shops. 

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Case Study: AEO + SEO in ActionBrand
Two Percent Newsletter

SEO Strategies: Optimized for “best fitness trackers” with long-form reviews.
AEO Strategy: Added FAQ schema to target “How accurate are fitness trackers?
Result: 50% increase in organic traffic (SEO) + 3 AI Overview (AEO) in 3 months.

Conclusion: Future-Proof Your Strategy with AEO and SEO

AEO vs SEO isn’t a battle—it’s a partnership. To survive AI search, you need both: SEO for the deep divers, AEO for the “I-need-this-now” crowd.

While SEO remains vital for organic rankings, AEO is essential for dominating AI-driven search. By blending keyword-rich long-form content (SEO) with concise, schema-optimized answers (AEO), brands can thrive in both traditional and AI-powered Answer Engines. 

Ready to optimize for both? Start by auditing your content for AEO opportunities and partnering with an SEO agency versed in AI search tactics.

FAQs: AEO vs SEO

What is Answer Engine Optimization (AEO)?
 AEO is the practice of optimizing content to appear in AI-generated answers, featured snippets, and voice search results. It focuses on providing direct, concise responses to user queries in platforms like Google’s AI Overviews, ChatGPT, and voice assistants.

Difference between AEO and SEO?
 While SEO aims to rank websites in traditional search results, AEO targets zero-click visibility in AI answers. SEO uses keywords, backlinks, and long-form content, while AEO prioritizes structured data, conversational queries, and succinct answers.

Why is AEO becoming critical in 2025?
 With 84% of Google searches triggering AI Overviews (March 2025 data) and 50% of U.S. adults using voice search daily, users increasingly rely on instant answers rather than clicking links.

Can I use AEO and SEO together?
 Yes! For example, optimize long-form blog content (SEO) while adding FAQ schema and concise Q&A sections (AEO). Brands like MedAnswers saw 65% of traffic from AI Overviews by combining both strategies.

What technical steps are needed for AEO?
 Implement structured data (FAQ, How-To, or Q&A schema), optimize for natural language keywords, and ensure mobile-friendliness. Pages with schema markup are 50% more likely to appear in featured snippets.

How do I measure AEO success?
 The track featured snippet rankings, Google Search Console’s “AI Overview impressions,” and voice search traffic. Tools like SEMrush and Ahrefs now include AEO-specific metrics.

Which industries benefit most from AEO?
 Healthcare, finance, and tech—industries with high informational queries. For instance, MedAnswers grew featured snippet appearances by 50% using medical schema markup.

Does voice search optimization require AEO?
 Yes. Voice searches are conversational (e.g., “How do I lower cholesterol?”), so AEO tactics like natural language answers and local intent targeting (e.g., “near me”) are essential.

How does E-E-A-T impact AEO?
 Google prioritizes content with Experience, Expertise, Authoritativeness, and Trustworthiness. Expert-reviewed content (e.g., physician-cited articles) earns 3x more AI Overview inclusions.

Will AEO replace SEO in the future?
 No—SEO remains vital for long-term authority, while AEO captures immediate AI-driven visibility. Brands like EcoGear combined both to drive 300% organic traffic and dominate AI Overviews.

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]]> https://getaimonitor.com/aeo-vs-seo-answer-engine-optimization-vs-search-engine-optimization-explained/feed/ 0 8842 Generative Engine Optimization Leaderboard https://getaimonitor.com/generative-engine-optimization-techniques/ https://getaimonitor.com/generative-engine-optimization-techniques/#comments Wed, 19 Feb 2025 14:48:38 +0000 https://getaimonitor.com/?p=7276 If you would like to know how to implement generative engine optimization for your brand or clients or how to improve your content and brand visibility on AI-powered Searches. AIM GEO Leaderboard is the world’s first and most updated leaderboard for all generative engine optimization techniques.  World’s Largest Collection of Most Effective Generative Engine Optimization Techniques Disclaimer:  The effectiveness of these techniques may vary […]

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]]> If you would like to know how to implement generative engine optimization for your brand or clients or how to improve your content and brand visibility on AI-powered Searches.

AIM GEO Leaderboard is the world’s first and most updated leaderboard for all generative engine optimization techniques. 

World’s Largest Collection of Most Effective 
Generative Engine Optimization Techniques

Disclaimer: 

The effectiveness of these techniques may vary as AI algorithms are subject to change. Always prioritize creating genuinely useful and original content. The knowledge cutoff dates for various AI models (e.g., GPT-4: April 2023, GPT-3.5: January 2022) should be considered when implementing these strategies.

Good SEO Is Winning Half the Battle

While traditional SEO remains important, its role has shifted in the age of generative engine optimization. 

AI Monitor can suggest properties in order to improve your AIM Score (the most accepted bench for the effectiveness of Generative Engine Optimization techniques.)

Learn more

Optimize AI Bot Crawlability

63% of Websites in our test data fail on one or more of these factors. 

AI Monitor has identified a set of 12 factors that ensure your website is AI-friendly. 

Learn more

Collaborate with Industry-focused Influencers

Collaborating with the right influencers can significantly impact AI-driven search rankings and greatly assist in generative engine optimization. AI monitor helps you discover the right person for your niche and budget.

Learn more

Establish Authority and Credibility

This technique focuses on enhancing the credibility of your content by incorporating well-established practices. Using credible citations from authoritative sources helps build trust with your audience.

Learn more

Enhance Reviews on Review and E-commerce Platforms

Platforms such as Amazon, Walmart, and independent review platforms are frequently cited in generative search results, including by Amazon Rufus, ultimately influencing consumer decisions. This technique is especially effective for product searches.

Learn more

Reddit and Other Community Platforms

Encourage community engagement through upvotes, comments, and shares to enhance AI Search visibility and GEO AIM Score.

Learn more

Expand Contextual Relevance

This approach leverages the power of long-tail semantic keywords and conversational phrases that reflect the way people naturally search for information.

Learn more

Traditional PR and Branding

This technique emphasizes the use of press releases, thought leadership articles, and public relations campaigns to shape public perception.

Learn more

Leverage Wikipedia

This technique involves collaborating with experienced editors who understand the platform’s guidelines.

Learn more

Publish Long-Term Assets such as Books

Consider publishing books or in-depth guides under open-source licenses to establish your expertise and increase your online footprint.

Learn more

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]]> https://getaimonitor.com/generative-engine-optimization-techniques/feed/ 2 7276 AI Monitor Holiday Gift Guide [2025 Edition] https://getaimonitor.com/ai-monitor-holiday-gift-guide-2025-edition/ https://getaimonitor.com/ai-monitor-holiday-gift-guide-2025-edition/#respond Tue, 28 Jan 2025 12:21:12 +0000 https://getaimonitor.com/?p=6067 What Should I Gift This Holiday Season – by ChatGPT and Other Generative Engines In the age of information overload, choosing the perfect holiday gift can feel daunting. Gone are the days of relying solely on Google searches, Amazon buying guides, or blogs to decide on the perfect gifts for your family, friends, and loved […]

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What Should I Gift This Holiday Season – by ChatGPT and Other Generative Engines

In the age of information overload, choosing the perfect holiday gift can feel daunting. Gone are the days of relying solely on Google searches, Amazon buying guides, or blogs to decide on the perfect gifts for your family, friends, and loved ones. As the world increasingly embraces Generative Engines and AI platforms, shopping decisions are undergoing a tech-powered transformation.

We are proud to present the AI Holiday Gift Guide, powered by AI Monitor —the industry’s first and most popular Generative Engine Optimization Tool.

About AI Monitor

AI Monitor serves as the premier analytics platform for understanding and optimizing brand presence across AI platforms. Think of us as the Bloomberg terminal for AI-generated content about your brand. “You can’t manage what you don’t measure.” AI Monitor enables brands to discover and log:

  • Brand Mentions: Track how your brand is discussed across leading LLM platforms.

  • Content Engagement: Gain insights into how users interact with your content through AI-generated responses.

  • Competitor Activity: Stay updated on competitors’ visibility and strategies in the AI ecosystem.

  • Custom Prompts: Monitor specific prompts or topics relevant to your business goals.

What’s Inside?

  • 4 Gift Categories: Navigate a comprehensive breakdown of popular gift categories, ensuring you find the perfect present for everyone on your list.

  • 150+ Product Recommendations: Discover a meticulously curated selection of gifts powered by AI analysis. From the latest tech gadgets to timeless classics, we’ve got you covered.

  • GenAI Trends & Insights for Brands: Gain invaluable intel on emerging consumer preferences and buying habits revealed by generative AI. Stay ahead of the curve and tailor your marketing strategies for the holiday season and beyond.

Ready to dive into the AI Holiday Gift Guide?

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]]> https://getaimonitor.com/ai-monitor-holiday-gift-guide-2025-edition/feed/ 0 6067 Govt may amend IT Act to add new rules for AI, GenAI models https://getaimonitor.com/govt-may-amend-it-act-to-add-new-rules-for-ai-genai-models/ https://getaimonitor.com/govt-may-amend-it-act-to-add-new-rules-for-ai-genai-models/#respond Fri, 03 Jan 2025 15:12:13 +0000 https://getaimonitor.com/?p=5871 Government’s Plans to Amend IT Rules for AI Regulation The government is likely to amend the Information Technology (IT) Rules of 2021 and introduce regulations for artificial intelligence (AI) companies and generative AI models, according to sources familiar with the matter. Mandating Bias-Free AI Platforms The amendments are likely to mandate that platforms using artificial […]

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Government’s Plans to Amend IT Rules for AI Regulation

The government is likely to amend the Information Technology (IT) Rules of 2021 and introduce regulations for artificial intelligence (AI) companies and generative AI models, according to sources familiar with the matter.

Mandating Bias-Free AI Platforms

The amendments are likely to mandate that platforms using artificial intelligence algorithms or language models to train their machines must be free from any form of “bias.”

Safeguards Against Bias and New Rules for Deepfakes

Apart from safeguards for preventing bias in AI and language models, the IT Rules amendments may also introduce new regulations addressing deepfakes, synthetic content, and provide explicit instructions for platforms regarding loan apps.

The parameters for bias that we have right now are centered around caste, religion, community, and national security, among other factors. There will be a legal obligation on platforms to ensure that all these parameters are followed, thereby expanding the ambit of trust and safety on the internet,” a senior government official told AI Monitor on the condition of anonymity.

The official added that the government will conduct consultations on additional parameters to eliminate bias, apart from those already known, to ensure safety.

AI Models to Undergo Testing Before Market Release

These AI models, another official said, must undergo sandbox and stress testing to ensure that biases are not present before releasing the tools to the market.

Digital India Bill and Amendments to the IT Act

AI Monitor had reported on September 29 that the government is likely to introduce similar provisions in the upcoming Digital India Bill, which will empower users to seek algorithmic accountability from internet intermediaries and social media companies.

However, the Digital India Bill may only be released after the general election, according to sources. They believe the government’s decision to amend the IT Act may be due to the fact that the Digital India Bill is still some time away, while developments in generative AI are progressing rapidly.

Addressing Deepfakes and Loan Apps

“The advisory on deepfakes and synthetic content will be very specific on the dos and don’ts for platforms and how to tackle the issue. For the loan apps, we want these intermediaries to take responsibility for preventing any kind of fraudulent advertising or stopping such apps that do not have the requisite approvals from being hosted altogether,” said the official cited earlier.

White-Listing Legitimate Loan Apps

Since the IT Ministry is the “custodian of safety and trust” on the internet, its approach to preventing such loan apps from operating in India is likely to involve white-listing legitimate applications or placing a banking gateway that blocks transactions through fraudulent apps, the official explained.

Predictive Algorithms to Combat Fraudulent Loan Apps

An online betting or fraudulent loan app can only function if it is allowed to connect to a legitimate banking solution. If we ensure that those operating these loan apps are denied access to the banking system through the use of predictive algorithms, many of these platforms will wither away,” the official said.

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