Brand Management Archives | AI Monitor | Get Your Brand Recommended by ChatGPT & Google AI Overview https://getaimonitor.com/category/brand-management/ 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. 

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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From Text to Canvas: Ultimate Battle of LLM vs Generative AI https://getaimonitor.com/llm-vs-generative-ai-what-should-you-pick/ https://getaimonitor.com/llm-vs-generative-ai-what-should-you-pick/#respond Wed, 30 Apr 2025 12:58:30 +0000 https://getaimonitor.com/?p=12472 From Text to Canvas: Ultimate Battle of LLM vs Generative AI Introduction: When Machines Get Creative Imagine a world where machines don’t just follow instructions but create, think, and adapt. Sounds like sci-fi? Welcome to the era of Generative AI and Large Language Models (LLMs), two game-changing technologies reshaping everything from art to customer service. […]

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From Text to Canvas: Ultimate Battle of LLM vs Generative AI

From Text to Canvas: Ultimate Battle of LLM vs Generative AI

Introduction: When Machines Get Creative

Imagine a world where machines don’t just follow instructions but create, think, and adapt. Sounds like sci-fi? Welcome to the era of Generative AI and Large Language Models (LLMs), two game-changing technologies reshaping everything from art to customer service.

In this blog, we are going to explain to you which one is better in the LLMs vs Generative AI debate based on the scenarios and your use cases.

But here’s where it gets interesting: while they’re often lumped together, Large Language Model vs Generative AI isn’t a fair fight—they’re built for different battles.

Generative AI paints, composes, and designs (think DALL·E’s surreal images or AI-generated music).

LLMs like ChatGPT specialize in word—writing, translating, and chatting like a human.

Ready to pick your AI sidekick? Let’s dive in – no PhD required.

Venn diagram showing Large Language Model (LLM) as a subset of Generative AI on a digital network background.

What is Generative AI?

As the term suggests, Generative AI is a branch of artificial intelligence systems that is capable of producing new pieces of work, from scratch, to be more specific: images, text, codes, music and even videos. What divides this type of AI from other forms is how these models go beyond simply working with data; they provide zestful outcomes based on the analysis done from a wide array of data.

🔥 Wild Fact

According to Precedence Research, the global generative AI market size has been calculated at USD 37.89 billion in 2025 and is expected to reach approximately USD 1,005.07 billion by 2034. The market is estimated to register an impressive CAGR of 44.20% between 2025 and 2034. (Precedence Research)

How It Works (Without the Boring Textbook Stuff)

Generative AI models are powered by cutting-edge technologies like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and Transformers. These tools allow AI systems to “imagine” new content after analyzing vast amounts of data.

For instance, GANs work by using two networks that play a game against each other—one generates data, and the other evaluates it, gradually improving the quality of the generated output. Similarly, VAEs and Transformers help refine how these models create new content, making them incredibly versatile.

Generative AI isn’t limited to text—it spans across modalities like images, videos, and even audio, depending on how it is trained.

Generative AI Tools That’ll Blow Your Mind

Some popular examples of generative AI tools include:

  • GPT-4o: A state-of-the-art model from OpenAI, known for its high-quality text generation.
  • Midjourney: It is particularly well-suited for generating art, illustrations, and other visually rich content, and is known for visually appealing images.
  • Runway: A video creation tool powered by generative AI that assists in editing and generating dynamic visuals.
  • Cursor – The AI Code Editor: An AI-powered IDE integrating advanced artificial intelligence features directly into the coding environment.

What Are Large Language Models (LLMs)?

Large Language Models (LLMs) are a subset of generative AI designed to process and generate human-like text. Some new and advance models can process and generate other types of content, such as code or structured data. These models, built on deep learning and transformer architectures, analyze vast amounts of data to understand context, predict sequences, and generate coherent, contextually relevant outputs.

🤪 Crazy Stat

GPT-4 gobbled up 570GB of text (that’s 300 billion words!) and speaks 45 languages (OpenAI)

How LLMs Work

LLMs primarily rely on Transformer architecture, which allows them to understand the relationships between words and concepts by using a mechanism called self-attention. This architecture enables LLMs to process input text as a whole, rather than word by word.

Unlike general generative AI models, LLMs are specifically trained on vast amounts of text data—think books, websites, and other written content. This training makes them exceptional at tasks such as translation, summarization, and chatbot-like interactions.

LLM Hall of Fame

Well-known LLMs include:

  • GPT-4: A powerful text-based model developed by OpenAI, which can handle complex tasks like writing essays, code generation, and more.
  • Claude: A conversational AI model by Anthropic, designed to engage in natural language conversations, provide information, and generate various text formats.
  • Gemini: A multimodal large language models developed by Google DeepMind aimed at improving dialogue systems.
  • ChatGPT: Perhaps the most recognizable LLM, capable of answering questions, writing essays, and having in-depth conversations. (ChatGPT is both a generative AI and a large language model (LLM).

Market Snapshot

  • The market size in the Generative AI market is projected to reach US$66.89bn in 2025. The market size is expected to show an annual growth rate (CAGR 2025-2031) of 36.99%.

Source

Generative AI vs LLM: Key Differences

Both, Generative AI and LLMs are parts of the faster growing Artificial Intelligence field, but are different in what they offer and have adpoted. A Generative AI is constituted of multiple tools AI equipped to generate content in the form of text to images and even videos, whereas LLMs are trained to specifically work with and produce text based content. The main differences arise out of areas of difference in training data, what the system can do and what it is primarily used for, which will be discussed in the following sections.

Feature Generative AI Large Language Models (LLMs)
Content Type Creates text, images, videos, and code Primarily creates text
Training Data Multimodal (text, images, video, etc.) Text-only datasets
Applications Image generation, music, and video Text generation, chatbots, translation
Core Technology GANs, VAEs, Transformers Transformer architecture

While LLMs are a crucial part of generative AI, their capabilities are specifically focused on language and text. Other forms of generative AI expand into visual and auditory domains, creating new challenges and opportunities.

Want ChatGPT to Recommend Your Product?

This guide arms marketers, business owners, and SEO pros to dominate not only traditional search but the new age AI-powered search platforms as well.

When to Use Generative AI vs LLMs (No BS Advice)

Pick Generative AI If… Creating new content? Go for Generative AI. For instance, it can produce captivating images, videos, or even compose music. This is particularly useful in the entertainment, marketing, and design industries. If you need an eye-catching artistic video ad for your campaign, you can use DALL-E or Runway and literally rest.

Pick LLMs if… the content is text-based. LLMs are great at chatbots, translations, and content generation. For anything that needs to be in a written form, be it articles, codes, or even customer interactions, LLMs like GPT-4 and ChatGPT will excel in delivering high-quality written pieces.

Case Study: How Netflix Uses Generative AI and LLMs

Netflix utilizes both generative AI and LLMs to enhance its user experience. For example, generative AI is used to create personalized thumbnail images for shows based on what will most likely appeal to a user. On the other hand, LLMs are used to recommend shows and movies by analyzing user preferences and past viewing habits.

Netflix uses generative AI and large language models (LLMs), shown with Netflix logo and text on a red background.

Challenges and Limitations: The Dark Side: AI Fails You Can’t Unsee

Generative AI Limitations

We cannot deny that generative AI has transformed creative fields, but it also comes with its challenges. The most prominent one out of all is the creation of deepfakes; realistic-looking fake images or videos which can be used in dangerous ways. Copyright issues are also a limitation, especially with the lawsuits that are happening with AI content and its creators. Furthermore, there is a problem with AI models that produce inappropriate or harmful content. These issues are the growing challenge in the AI development world today.

Risk Involved:

  • The risk of generating fake or misleading content like deepfakes can lead to misinformation, causing significant harm in industries like journalism, politics, and entertainment.
  • Copyright issues arise when AI models create content that is too similar to copyrighted works, leading to lawsuits or intellectual property disputes.

Mitigation Tips:

  • Watermark AI-generated images: Adding visible or invisible watermarks can ensure that creators and users can identify AI-generated content, helping reduce misuse.
  • Stay informed on copyright laws related to AI creations and ensure compliance to avoid legal issues.

LLM Limitations

Like everything else, LLMs also have their drawbacks. One of the most prominently noticed issues is hallucinations, which are instances where an incorrect output or nonsense is produced. There’s also bias, where models like ChatGPT tend to give answers based on outdated and incorrect information. In addition to this, standard LLMs have issues with understanding context, which can be especially bad in layered or complicated subjects.

Risk Involved:

  • Hallucinations can lead to spreading false information, which is particularly dangerous when LLMs are used in sensitive areas like healthcare or legal advice.
  • Bias in LLMs may perpetuate harmful stereotypes or produce discriminatory content.

Mitigation Tips:

  • Fine-tune LLMs with domain-specific data to improve accuracy and reduce hallucinations.
  • Incorporate ethical AI practices to minimize bias and ensure fairness, such as using diverse datasets and conducting regular audits.

Future Trends: AI Predictions That’ll Make Your Head Spin

Futuristic robot analyzing a glowing crystal ball on a wooden table, symbolizing AI prediction and foresight.

The future of Generative AI and LLMs looks incredibly promising. Here are some trends to watch for:

  1. Multimodal Models: AI systems will combine text, images, video, and even audio, making them more versatile and capable of handling a broader range of tasks.

  2. Ethical AI: As concerns about bias and privacy grow, there will be increased efforts to create AI models that are more transparent, fair, and ethical.

  3. Custom AI Models: Expect to see more industry-specific AI models tailored to specific needs in sectors like healthcare, finance, and law.
Two humanoid robots exploring creativity—one reading a book, the other contemplating a painting in an art studio.

Conclusion

Let’s cut through the jargon. Generative AI and LLMs are like the Batman and Robin of the AI universe—except they don’t always work together, and honestly? They’re kinda rivals.

Generative AI = The Mad Artist 🎨

This is your go-to for unhinged creativity. Need a TikTok dance that goes viral? A logo that looks like a unicorn ate a rainbow? A song that blends Beyoncé with banjo? Generative AI’s got your back. Tools like DALL-E and Runway don’t just make content—they invent it. Think of it as that friend who shows up to brunch with glitter in their hair and a PowerPoint for their next “disruptive art project.”

LLMs = The Smooth-Talking Word Wizards 🧙♂️

These are your textual ninjas. Want to automate 500 DMs that don’t sound like a robot wrote them? Need a blog post that’s 80% done before your coffee cools? LLMs like ChatGPT and Claude will churn out words smoother than a politician’s apology tweet. They’re the overachieving interns who actually read the 300-page manual (and then summarize it in a haiku).

But Wait—Ethics, Though ⚖️

Gen AI’s dark side? Deepfakes of your CEO twerking. LLMs? Hallucinating facts like “the Eiffel Tower is in Texas.” Stay sharp: watermark those AI art masterpieces, fact-check LLM rambles, and for god’s sake, don’t let the robots write your breakup texts.

What do you think? Are you team LLM or team Generative AI? Drop a comment below—let’s chat about how you could use these in your own projects!

LET’S ANSWER THE QUESTIONS

Frequently Asked Questions

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A No-Nonsense Guide to Retail Inventory Management Software https://getaimonitor.com/a-no-nonsense-guide-to-retail-inventory-management-software/ https://getaimonitor.com/a-no-nonsense-guide-to-retail-inventory-management-software/#comments Mon, 17 Feb 2025 08:46:40 +0000 https://getaimonitor.com/?p=7137 Look, I’ve been around the retail block a few times, and let me tell you – nothing makes me cringe harder than hearing “Sorry, we’re out of stock” when I’m ready to throw my money at a store. It’s 2025, folks! We’ve got self-driving cars and AI writing poetry, yet somehow businesses still struggle with […]

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Table of Contents

Look, I’ve been around the retail block a few times, and let me tell you – nothing makes me cringe harder than hearing “Sorry, we’re out of stock” when I’m ready to throw my money at a store. It’s 2025, folks! We’ve got self-driving cars and AI writing poetry, yet somehow businesses still struggle with keeping track of their inventory. Let’s fix that, shall we?

Retail Inventory Management Software helps retailers avoid overstocking, reduce capital tied up in slow-moving products, and increase sales by guaranteeing they always have enough stock on hand to satisfy customer demand. This is accomplished using accurate inventory counting tools, customized reports, and sophisticated analytics.

Product categorization is key to effective inventory management and can significantly speed up the inventory process by eliminating human errors. Additional key features of effective inventory systems are low-stock alerts and integration with point-of-sale systems.

The What and Why of Inventory Management Software

The What and Why of Inventory Management Software

Core Purpose

Think of inventory management software as your store’s personal assistant with a photographic memory. While you’re busy helping customers find the perfect pair of jeans or dealing with Karen, who wants to speak to the manager (again) this digital miracle worker is:

  • Maintain optimal stock levels to maximize sales opportunities
  • Prevent stockouts and overstock situations
  • Track inventory across multiple locations and channels
  • Make data-driven purchasing decisions

Essential Features

  • Real-time inventory tracking and monitoring
  • Stock level alerts and automated reordering
  • Product categorization and organization
  • Size, color, and style matrix management
  • Integration capabilities with POS and accounting systems
  • Reporting and analytics tools

Finding Your Perfect Match: A Dating Guide for Software Selection

The Small Business Sweetheart

You must also have that cozy boutique down the street that somehow always has exactly what you need.  They’re probably using something like Comcash or Retail Pro.

Small retailers often rely on a straightforward retail inventory system to keep operations running smoothly. Such systems automate item tracking, reducing errors and improving efficiency while offering managers a clear picture of stock levels for making informed decisions on purchasing and marketing activities.

An automated inventory system can track inventory in real-time, preventing overselling or underselling. Furthermore, historical sales data analysis allows it to predict demand and recommend optimal reorder quantities; all these benefits help increase revenues while simultaneously decreasing inventory costs.

Automated inventory management software can save time by eliminating manual counting and the need for warehouse staff to perform periodic audits, freeing employees up to focus on other tasks that improve productivity and profitability. In addition, automated inventory software provides a clear picture of inventory at any given point in time, making it easier to track down lost or stolen goods and replace them quickly and efficiently.

An inventory system can easily integrate with both your POS and online store, automatically updating them both with updates from both systems simultaneously to facilitate collaboration and reduce data silos that lead to errors. Furthermore, multiple users can access it simultaneously for increased efficiency within both sales and warehouse teams.

Veeqo, an advanced inventory management system with automation features, may provide more advanced functionality than standard inventory solutions. It can manage inventory levels across marketplaces like Amazon, eBay, and Shopify so retailers know precisely what their stock levels are at all times. Furthermore, bulk shipping label printing makes fulfillment faster while integrations with major courier services streamline fulfillment further. These capabilities make Veeqo an excellent solution for growing online retailers who wish to optimize stock levels while increasing profits.

The Enterprise Power Couple

Retailers that operate across multiple locations or stock a wide variety of items often face difficulties juggling multiple software systems for point-of-sale transactions, inventory management, and financials. This can lead to inaccurate data, delayed synchronization, costly mistakes, missed sales opportunities, or missed opportunities altogether. To optimize business efficiency quickly and efficiently, the best retail inventory management solutions offer seamless integration of all necessary business information for making informed decisions quickly.

Enterprise suites such as LS Central for Retail from Microsoft’s ERP solution Business Central offer comprehensive inventory management, store operations, finance, financial accounting, CRM, human resources, and eCommerce capabilities in one comprehensive system. You can use this software to streamline supply chain management from warehouses and stores directly to customers while simultaneously managing omnichannel logistics and customer relationships.

These tools not only offer unified software to meet all of your operational needs, but they can also assist in optimizing inventory and reducing shrinkage. By automating counting of products, providing real-time tracking from POS to suppliers and customers, and providing detailed reports with data analysis for decision-making purposes – plus keeping tabs on new arrivals or seasonal changes – plus offering digital marketing features to maximize sales!

Other advantages of employee accountability systems and more efficient workflows with simplified communication include increased employee accountability and reduced paperwork loads with faster submission processes for tasks and inventory damage reports via mobile phones. Employees may even be required to sign off when submitting forms, creating increased accountability while decreasing error risk. Regular inventory audits can also help minimize stock loss from theft, misplacement or other factors.

The Multi-Channel Matchmaker

Let’s get real – if you’re not selling both online and in-store in 2025, are you even retail-ing? (Yes, I just made that a verb.) Solutions like Counterpoint and RunIt RealTime are perfect for juggling your e-commerce and brick-and-mortar inventory like a pro circus performer.

The Good, The Bad, and The “Oh My God, Why Didn’t We Do This Sooner?”

The Sweet, Sweet Benefits

  1. Time Savings: Remember manually counting inventory after closing? Yeah, neither do I – because software does that now. chef’s kiss
  2. Accuracy That Would Make Your Math Teacher Proud: No more “I think we have that in stock” moments
  3. Shrinkage Control: Because inventory shouldn’t mysteriously disappear like socks in a dryer
  4. Crystal Ball Powers: Okay, not really, but the forecasting is pretty darn close

The Reality Check

Let’s keep it 100% real – implementing new software can be about as fun as teaching your grandparents how to use TikTok. You’ll need:

  • Have patience (lots of it)
  • A solid implementation plan
  • A sense of humor (trust me on this one)

The Cool Kids’ Corner: Latest Trends

What’s Hot Right Now

  • AI-Powered Forecasting: Because guessing is so 2023
  • RFID Everything: Tags that talk? Welcome to the future!
  • Cloud-Based Solutions: Working from home? Your inventory can too
  • Omnichannel Magic: Because customers expect to buy online and return in-store (and vice versa) faster than you can say “supply chain”

Now let me explain each of these trends in detail:

Software Made in Heaven that Stays in the Cloud

Cloud-based inventory solutions allow businesses to track inventory across stores, warehouses, and logistics centers from one central platform compared to traditional systems, which must be installed physically on-premises. This enables greater accessibility from anywhere with internet access for inventory tracking across stores, warehouses, and logistics centers.

cloud-based inventory management systems tend to be cheaper to install and use than traditional software systems and are highly adaptable. Scalability also plays an integral role: should a business experience rapid expansion, cloud systems can scale instantly to meet the new capacity demands; conversely, if staff cuts are experienced, then cloud systems can easily downscale to reduce unnecessary expenses.

RFID integration

Market trends are shifting toward cloud-based systems that integrate seamlessly with both e-commerce and in-store point-of-sale systems for simplified sales tracking. Lightspeed Retail and Lightspeed eCom offer this capability so retailers can monitor inventory across their physical and online storefronts from a single easy-to-use platform.

An investment in RFID technology can also help improve inventory management processes. By embedding chips in merchandise, this technology enables a complete picture from warehouse to checkout; as it passes through checkout or returns back into storage, updates on stock levels and reordering can occur automatically.

Zara and Decathlon have both implemented RFID global-scale systems to increase inventory visibility and decrease shrinkage. Zara uses RFID tags at the manufacturing stage so items can be tracked accurately from supplier to store. Meanwhile, sporting goods retailer Decathlon implemented global RFID implementation to increase inventory visibility and decrease shrinkage.

As part of your inventory management plan, it can also be beneficial to utilize inventory tools that enable you to preorder products from suppliers when demand spikes; this is particularly effective with popular seasonal items. Once demand has settled down again, simply reorder those items so your customers always receive what they desire.

Omnichannel capabilities

Integration between retail inventory management software and other business systems such as warehouse operations, accounting and planning software is essential in keeping tabs on SKUs and inventory in real time, saving time by automating processes and eliminating manual data entry. Cloud-based inventory management systems may be especially convenient for store owners on the move since they can be accessed using mobile devices.

Omnichannel capabilities are essential to any retail business that aspires to expansion in the future. Omnichannel capabilities give a bird’s-eye view of all business operations – in-store inventory for each channel or department and online inventory at large – providing assurances to each customer that the correct stock is always available and providing consistent experiences across orders placed online or offline. Omnichannel capabilities also contribute to reduced shipping costs while optimizing inventory to maximize profit.

An omnichannel solution can also increase sales by making shopping more accessible across channels. Customers may buy on social media and pick it up later from a store location, or they can reserve items online then call to make arrangements for pickup later. These multichannel strategies build brand loyalty while increasing customer satisfaction.

Omnichannel functionality can assist retailers in saving money by minimizing shrinkage. By tracking inventory across multiple locations, this system can eliminate overstocking and stockouts by automatically creating purchase orders based on demand and updating inventory records in real time. In addition, it can identify returns/restocking trends to assist retailers make informed decisions regarding pricing promotions or product assortment.

Remember when Amazon opened those cashierless stores? Well, that’s just the tip of the iceberg. The future of retail inventory management is looking wilder than a TikTok dance challenge.

Show Me the Money: Investment Talk

Here’s the tea on pricing – it varies more than cryptocurrency values. Small businesses might get away with spending a few hundred bucks a month, while enterprise solutions could cost more than your first car. But here’s the real talk: can you afford NOT to have proper inventory management in 2025?

The Bottom Line (Because Every Good Story Needs a Conclusion)

Listen, I get it. Choosing inventory management software feels about as overwhelming as picking a show to watch on Netflix. But here’s the deal: the right system can turn your inventory headaches into high-fives.

Whether you’re a small boutique owner who’s tired of spreadsheet chaos, or a retail chain manager juggling multiple locations, there’s a perfect software match out there for you. Just remember – the best system isn’t always the most expensive or the flashiest; it’s the one that makes you forget about inventory management altogether because it just works.

And hey, if all else fails, remember this: even the most sophisticated inventory system can’t prevent customers from folding display items like they’re competing in an Olympic origami event. Some retail problems remain eternally unsolvable! 😉

P.S. If you’re reading this while doing manual inventory counts, stop torturing yourself and start shopping for software. Your future self will thank you!

The post A No-Nonsense Guide to Retail Inventory Management Software appeared first on AI Monitor | Get Your Brand Recommended by ChatGPT & Google AI Overview.

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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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10 Marketing Trends and Predictions for 2025 https://getaimonitor.com/10-marketing-trends-and-predictions-for-2025/ https://getaimonitor.com/10-marketing-trends-and-predictions-for-2025/#respond Sun, 19 Jan 2025 11:29:18 +0000 https://getaimonitor.com/?p=6009 Explore the key marketing trends that will shape how marketers work in 2025. From AI tools and chatbots to social selling and cookieless personalization, here’s what to expect and how to adapt your strategies. 1. Generative Engine Optimization (GEO) As large language models (LLMs) change how people search for information, marketers must adapt their strategies. […]

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Explore the key marketing trends that will shape how marketers work in 2025. From AI tools and chatbots to social selling and cookieless personalization, here’s what to expect and how to adapt your strategies.

1. Generative Engine Optimization (GEO)

As large language models (LLMs) change how people search for information, marketers must adapt their strategies. Optimizing content for LLM-powered search engines like ChatGPT, Microsoft Copilot, and Google AI Overview will become crucial.

Case Study – Optimizing Content for AI Search Engines

A tech startup client of ours availed our services for GEO and optimized its content for AI-powered search engines. This led to a 40% increase in organic traffic within three months. Natural language processing and conversational keywords were emphasized to broaden the audience segment and improve search engine rankings.

2. Interactive Content

User engagement and retention will significantly improve through interactive contents such as quizzes and engaging videos. This method makes meaningful interactions possible by making users active participants; thereby, enhancing the overall user experience.

Case Study – Interactive Content in the Construction Sector

In this case study, we analyzed the performance of three interactive experiences developed for a small builder and contractor initiative in the Phoenix area, aiming to improve conversions.

[Calculator] ROI Calculator: Buying a Home vs. Renting

Target Audience: Users in the attraction stage. Results:

  • The interactive ROI calculator compared the financial benefits of buying a home versus renting.
  • After integrating the calculator into blog content, there was a substantial increase in traffic and qualified lead generation.

This case study demonstrates the significant impact of a well-designed distribution strategy on the performance of interactive content, particularly in the construction sector. By providing valuable tools and information, the builder and contractor successfully engaged their audience and drove meaningful conversions.

3. The Enduring Power of Blogging

Blogging remains a vital strategy for increasing brand credibility and driving conversions. Blogs provide a consistent platform for educational and engaging content, independent of changing social media algorithms.

Case Study – Snack Nation: 59% Increase in Homepage Traffic from Blogging

Industry: B2B snack delivery service Key Stats:

  • 10,000 page views per month on a single post.
  • 59% increase in homepage traffic.
  • Drives $100,000 in monthly recurring revenue.

How They Did It:

  • Skyscraper technique.
  • Keyword research.
  • Competitor analysis.
  • Link-building.
  • Blogger outreach.

Inspired by Brian Dean’s famous skyscraper technique, Snack Nation created an in-depth post on employee wellness, significantly boosting traffic and revenue.

4. Increased Use of AI

Marketers are doing more with less, making efficiency critical. AI tools and a cohesive tech stack can save marketers hours of manual tasks, allowing them to focus on high-impact activities.

Case Study – Engagement: Marketing Strategies That Help Companies Connect

Utilize chatbots, mobile messaging, email, and video to engage consumers and forge deeper connections. Personalization remains key, with 94% of marketers saying it boosts sales and 77% reporting that AI helps create more personalized content.

5. The Return of VR and AR

VR glasses and AR apps are becoming more accessible, and these technologies will offer new means of engaging audiences as well as provide them with immersive experiences.

Case Study – IKEA Place AR App

With IKEA’s augmented reality app, IKEA Place, customers could see how the furniture would fit into their houses before actually buying it. This improved customer service program generated a 35% increment in online sales while at the same time reducing product returns by 20%.

6. Balancing Personalization and Privacy

Personalization makes content more memorable and effective, but it must be balanced with privacy concerns. In 2025, first-party data collection will be crucial for cookie-free targeting and hyper-personalization.

Case Study – Apple’s Privacy-Centric Personalization

Apple’s implementation of App Tracking Transparency (ATT) allowed users to opt-out of data tracking. Despite initial concerns, Apple managed to maintain high levels of personalization through first-party data and privacy-respecting strategies, leading to a 15% increase in user trust and engagement.

7. The Rise of Podcasts and Audio Content

More marketers are using more of this format to connect and capture the attention of their listeners, indicating that the popularity of podcasting and audio content will keep on increasing.

Case Study – HubSpot’s Podcast Network

HubSpot has set up a podcast network that has shows about marketing, sales and business growth. In the first six months alone, this network gained over 1 million downloads which significantly increased HubSpot’s brand influence and generated leads.

8. Native Advertising and Sponsored Content

Native advertising and sponsored content will remain valuable tools.These styles merge effortlessly to platform content, thereby improving user experience and raising the effectiveness of ads.

Case Study – The New York Times and Netflix’s “Orange is the New Black”

A native advertising piece promoting “Orange is the New Black” was created by Netflix in collaboration with The New York Times, a notable example. It produced content that was well researched on women in jail, which matched the theme of the show and gave readers useful knowledge. The native ads generated a high engagement rate and efficiently brought awareness to the series thereby proving how powerful these types of advertisements could be.

9. Case Studies for Leads and Credibility

Continued case studies would still serve as a powerful way of demonstrating the value of products and services and building trust. They give detailed information on how customers benefit from the use of certain goods and services.

Case Study – Salesforce’s Customer Success Stories

One of the leading players in this market is Salesforce, which often releases well-documented case studies that highlight successful customer testimonies across a range of industries. Such case studies have been shown to work very well in terms of lead generation and establishing credibility with a reported 20% rise in lead conversion rates.

10. Micro-stories to Micro-Influencers

Brands like Gymshark are effectively using platforms like TikTok to share short, engaging content that connects with their audience.

Case Study – Gymshark on TikTok

Gymshark worked with TikTok’s algorithm and short-form videos to produce relatable fitness content. Consequently, this attracted millions of followers and increased the brand visibility significantly. During the process, Gymshark used small influencers which meant that they had more interactions with their clients making them accountable for 25% of the sales resulting from TikTok campaigns.

Conclusion 

Stay ahead by incorporating these trends into your 2025 marketing strategy to drive engagement, efficiency, and growth. Subscribe to our newsletter

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Types of Digital Marketing: A Comprehensive Guide for 2025 https://getaimonitor.com/types-of-digital-marketing-a-comprehensive-guide-for-2025/ https://getaimonitor.com/types-of-digital-marketing-a-comprehensive-guide-for-2025/#respond Fri, 10 Jan 2025 10:14:39 +0000 https://getaimonitor.com/?p=5966 Introduction Let me tell you something funny – the other day, my Aunt asked me what I do for a living. When I explained digital marketing, she replied, “Oh, so you’re one of those people who make those dancing videos on Instagram” Well, not exactly, Aunty, but you’re not entirely wrong either! The digital marketing […]

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Introduction

Let me tell you something funny – the other day, my Aunt asked me what I do for a living. When I explained digital marketing, she replied, “Oh, so you’re one of those people who make those dancing videos on Instagram” Well, not exactly, Aunty, but you’re not entirely wrong either!

The digital marketing landscape is as vast as my coffee addiction (and trust me, that’s saying something). Below are the leading 11 types of Digital Marketing and understand how they can help in your business-

1. Search Engine Optimization (SEO):  The Marathon Runner of Digital Marketing

Search Engine Optimization or SEO is the science of attracting specific types of traffic  to the website using a search engine. To master SEO, you need to create high value content with high authority backlinks and include keywords in that content that your ideal customers search for. This is the process of optimizing your website to rank higher on search engine results pages (SERPs) like Google. SEO basically focuses on highly organic search results, not paid or sponsored traffic. 

Picture this: you have a shop just next to Times Square, you are automatically getting thousands of visitors to your shop and compare that to a shop in dungy streets of the xyz area (I don’t know what place to mention while also remaining politically correct), where hardly anyone visits. 

That’s what it’s like on the internet today. If you are on the first page of Google SEPR for a high volume keyword, you magically have thousands of visitors coming to your website that you can later convert to a paying customer or client. However, if you are on page 3 or 4 you would be lucky to have even a single visitor in a month, depending upon the keyword volume obviously. 

As search engines attempt to give the most suitable answer to each person’s search query. You must ensure a search engine views your site as the most appropriate match. There are two key aspects of SEO:

  • On-page SEO: This involves optimizing your website’s content, structure, and meta tags to make it more appealing to search engines.
  • Off-page SEO: This refers to building backlinks from reputable websites, which boosts your site’s authority.
  • Technical SEO: Ensuring your website is easily crawlable and indexable by search engines. This includes factors like site speed, mobile-friendliness, site architecture, and XML sitemaps.

By focusing on SEO, you can drive organic traffic to your site without paying for ads, making it a cost-effective long-term strategy.

Real Talk Alert:

  • Technical SEO isn’t rocket science, but sometimes it feels like it (especially after your fifth cup of coffee)
  • Content is king, but user experience is the queen – and we all know who really runs the kingdom
  • Those green lights in Yoast aren’t a guarantee of success, just like my gym membership isn’t a guarantee of six-pack abs

2. Generative Engine Optimization: The New Kid on The Block 

Many of us have either prepared SEO reports or received them with search engine ranking (“SERP”) for specific keywords. However, as I have repeatedly discussed with anyone willing to listen, depending on SERP alone to measure content performance is becoming increasingly outdated.

I’m not saying that SERP rankings for specific keywords relevant to your business are entirely meaningless tomorrow or next week. However, it is a fact that Large Language Models (LLMs) have fundamentally changed the way we find and consume information. Thus, SEO, which was once an effective marketing strategy, is going to die the same fate as traditional publishing houses did after the advent of the Internet.

As I write this, AI is getting smarter (and slightly scarier), privacy regulations are tightening faster than my jeans after the holidays, and somewhere, someone is inventing a new social media platform that will probably make us all feel old again.

Generative Engine Optimization or GEO the term which was confined by yours truly can be considered as the next phase of SEO. As Google AI Overview, SearchGPT and Microsoft take over people googling information, whether your product or service is being recommended by these AI super lords 😀is more crucial and ever. If you want to see how your brand is performing in the AI era, AI Monitor offers tons of tools for that – just visit this link to learn more. 

3. Content Marketing: The Subtle Art of Not Being B***ng

Hey, when we talk about content, it doesn’t mean just keep creating Content. It is all about creating relevant and valuable content so as to engage, attract and convert them into your business. In 2024, creating content is like trying to have a conversation at a rock concert – you’ve got to be really interesting to get anyone’s attention. Remember when “content is king” was the hottest phrase in marketing? Now it’s more like “content is king, but engagement is the entire royal family. 

His ultimate goal is to provide the information which can attract them and can solve problems, educate your audience or entertain them with the relevant content. The content can come in various forms, including 

  • Blog posts and articles
  • Videos (tutorials, explainer videos, live streams)
  • Infographics and data visualizations
  • Podcasts and audio content
  • Ebooks, white papers, and guides
  • Case studies and testimonials

Content marketing works hand-in-hand with SEO, as high-quality content helps improve your website’s search engine rankings. By consistently publishing great content, you can position your brand as an industry leader, build trust with your audience, and drive conversions.

4. Social Media Marketing: The Town Hall of Internet

Platforms like Instagram, Facebook,  X formerly Twitter, LinkedIn, TikTok, Pinterest are utilised as Social Media Marketing to connect with audiences, build brand awareness, drive website traffic, and foster customer loyalty. Effective social media strategies include:

  • Organic Social Media: Creating and sharing engaging content, interacting with followers, building a community, and using relevant hashtags.
  • Paid Social Media Advertising: Utilizing targeted ads to reach specific demographics, interests, and behaviors, expanding reach and driving conversions.

If you think keeping up with your family’s group chat is challenging, try managing multiple social media accounts! One minute you’re crafting the perfect tweet, and the next, there’s a new platform where everyone’s posting videos of their breakfast set to orchestral music.

Platform Personality Types:

  • LinkedIn: The professional who takes themselves very seriously
  • Instagram: The friend who never shows up to dinner without taking photos first
  • Twitter: The chaotic cousin who starts arguments at family gatherings
  • TikTok: The teenager who makes everyone feel old
  • Facebook: The aunt who still shares minion memes

Businesses can be influenced by organic strategies by posting content regularly which is engaging and interacting with followers, or also they can use paid social media ads to reach a target and larger audience. Social media allows you to target specific demographics, on the basis of age, gender, location, and interests, so that your marketing messages can reach the right people or your target people.

5. Email Marketing: The Phoenix That Refuses to Die

Email marketing is one of the oldest yet most effective forms of digital marketing. Every year, someone declares “Email is dead!” And every year, email marketing continues to deliver ROIs that make other channels jealous. It’s like the Keith Richards of digital marketing – somehow still rocking and more relevant than ever.

It includes, target messages are sent to every person or a group who wants to receive all the details or any communication from your brand side. The prime objective of this type of marketing is to strengthen the relationships with your customers and encourage them to take action—it can be for making a purchase, signing up for a webinar, or downloading a free guide.

Types of email marketing campaigns include:

  • Newsletters: Regular updates about your business or industry.
  • Promotional Emails: Announcements of discounts, sales, or new products.
  • Transactional Emails: Order confirmations, shipping notifications, etc.

Email marketing offers a great return on investment (ROI), especially when you personalize your emails and segment your email list.

Pro tip: Want to know the secret to email marketing success? Write like a human being, not like a robot trying to impersonate one. Trust me, nobody has ever said, “Wow, this corporate jargon really speaks to my soul!”

6. Pay-Per-Click Advertising (PPC): Where Money Meets Math

Pay-Per-Click advertising, as the name suggests, is the one form of marketing where businesses have to pay a fee each and every time their ad is clicked. It can be easily seen on some platforms like Google Ads or on some of the platforms like Facebook, Instagram,etc. On the basis of their search for queries or interests , it will allow them to reach our target audience just by showing them ads in front of them.

With PPC, you can easily target specific keywords and demographics, you can set a budget, and just track the performance of your ads in real-time. Google Ads, for example, enables you to bid on keywords and have your ads appear at the top of the search results for those terms.

Affiliate marketing is working on a performance-based marketing model. In this you have to partner with other individuals or businesses to promote your services or products. Affiliates earn a commission for every sale or lead they generate through their marketing efforts.

Affiliate Marketing is highly effective because it leverages the influence and reach of others to boost your brand. It’s a win-win for both the business and the affiliate, as the affiliate earns a commission while you get more customers without having to pay upfront for advertising.

8. Influencer Marketing: Paying SUPER DUPER People to Come to Your Party 

Influencers are those people who have a significant following on social media platforms like TikTok, Instagram, Facebook, Youtube. When partnering is done with influencers to promote our services or products then it is known as Influencers Marketing. Involvement of Influencers is they will create relatable and authentic content which will help the audience to connect with your products and also it will help you to build trust and credibility.

Working with influencers allows businesses to tap into niche markets and reach highly engaged followers who trust the influencer’s recommendations. Influencer marketing can take many forms, from sponsored posts and product reviews to giveaways and brand ambassadorships.

9. Video Marketing: YouTube of Books  

If you go through the most popular apps, it includes YouTube, tik Tok and ofcourse Instagram Reels. So, as digital marketing is evolving with time – Video marketing is the most powerful form of digital marketing. It is evident that through video content you can connect more with your audience in a more personal way as it is easy to consume, engaging and also shareable. Whether it’s tutorial videos, product demos, behind-the-scenes footage, or customer testimonials, video can help you connect with them.

Video marketing also improves SEO, as search engines tend to favor video content in their results. A well-crafted video can convey more information in less time, making it an effective tool for educating, entertaining, or persuading customers.

10. Online Public Relations (PR): The LinkedIn of Digital Marketing 

PR is Public Relations and when we focus on building and maintaining online public relations it means engaging with media, managing reviews online and feedback, and also maintaining a positive reputation for your business and securing mentions of your brand in online publications or blogs. It also includes responding to customer inquiries, handling crises, and fostering good relationships with influencers and journalists.

By managing your online presence effectively, you can boost credibility, trustworthiness, and brand perception.

11. Mobile Marketing: Same Wine in a New Bottle

As almost all our people rely on smartphones because of which the importance of mobile marketing is increasing. Mobile marketing includes any marketing activity that reaches customers through their mobile devices. This includes:

  • Mobile-optimized websites and landing pages
  • Mobile apps and in-app advertising
  • SMS and MMS marketing
  • Push notifications and location-based marketing

To engage and reach your target audience, a must approach is to target them through their mobile devices as most of them are accessing the internet through their mobile devices. 

A Final Note (Because Every Good Story Needs One)

As the virtual landscape keeps evolving, there are endless opportunities and possibilities for marketing your business. If you focus on any of these from SEO, content marketing, social media, or explore newer methods like influencer marketing or video marketing, the best you can do is identify your audience and try to understand the platform where they are present in large numbers online. 

The best digital marketing strategy often involves a combination of these types, tailored to your business needs. By exploring and experimenting with different approaches, you can create a powerful marketing plan that drives traffic, engages customers, and boosts sales. Embrace the world of digital marketing, and watch your business thrive in this fast-paced, digital age!

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Introduction To Digital Marketing (AKA Digital Marketing 101) https://getaimonitor.com/introduction-to-digital-marketing/ https://getaimonitor.com/introduction-to-digital-marketing/#respond Mon, 06 Jan 2025 15:17:07 +0000 https://getaimonitor.com/?p=5874 What is Digital Marketing? Digital marketing typically refers to online marketing campaigns that appear on a computer, phone, tablet, or other device. It can take many forms, including online video, display ads, search engine marketing, paid social ads, and social media posts. Let’s picture a typical situation you probably experienced over the past few years, […]

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What is Digital Marketing?

Digital marketing typically refers to online marketing campaigns that appear on a computer, phone, tablet, or other device. It can take many forms, including online video, display ads, search engine marketing, paid social ads, and social media posts.

Let’s picture a typical situation you probably experienced over the past few years, especially during those Covid lockdown days. Imagine this: I’m lounging around in my PJs and a nice shirt, all set for a Zoom call 🙂 (don’t judge we all have done this). I suddenly realized I needed a new coffee maker (the old one’s gone to appliance heaven). I whip out my phone, and within minutes, I’m knee-deep in online ads, reviews, and videos. That’s digital marketing in action, my friend!

Simply put, digital marketing is anything you stumble upon while scrolling through your phone, tablet, or maybe that dusty laptop in the corner. It can morph into many forms—those catchy videos you can’t resist clicking on, those display ads that seem to know exactly what you’re thinking (Is it creepy or just brilliant? The jury’s still out), search engine marketing, the paid ads popping up on your favorite social media, or even the product recommendations you ask ChatGPT, more on this here. 

Did You Know? 90% of US adults go online every day. While 41% say they are online almost constantly

Digital Marketing vs. Traditional Marketing 

Just as Indian parents love to compare their younger kids with older siblings, digital marketing is often compared to “traditional marketing,” such as newspaper or magazine ads, billboards, and direct mail. Funny enough, television is also usually lumped in with traditional marketing. I can definitely relate to TV because whenever I attend my nephew’s birthday party, all the dads there are too old for me, and all the kids are just too young. 

Now, let me tell you, if you’ve ever dipped your toes into the immense pool of digital marketing these days, you just can’t ignore it. When I launched my first digital ad campaign, it felt like throwing spaghetti at the wall to see what sticks. Imagine the joy when I could check in on how it was doing in real-time—like being able to see if the spaghetti actually landed on the plate or ended up on the floor!

Moreover, I found the cost-effectiveness of digital marketing really appealing, especially as the founder of a bootstrapped startup with limited funds, and that was enough to seal the deal. 

Traditional marketing, on the other hand, is akin to trying to bake a soufflé without knowing what a soufflé is. You invest in a full-page magazine ad; hopefully, it pulls in customers. But if something goes awry, good luck making adjustments without shelling out more money. I once had a friend who spent a small fortune on a billboard, only to realize it had a typo in the phone number. It took ages to realize this and even longer to make the changes. 

Speaking of editing your ads once they are live, in the wonderful world of digital marketing, you can tweak your content on a whim—like adjusting the thermostat until it’s just right. Want to change a phrase? Go ahead! However, with traditional marketing, once that ad is printed, it’s as final as words written in stone. 

Just to be clear, I’m not saying traditional marketing has no merit and should be ignored altogether. Who doesn’t remember those awesome billboard ads from Google, the quote-unquote king of digital marketing. 

However, I’m trying to make the point that whatever your business, you can’t ignore digital marketing and the perks that come with it—freedom, flexibility, and frugality are all within reach! Sure, it requires strategy and a bit of finesse, but if you play your cards right, the possibilities are endless. It’s like having a never-ending buffet where you can sample everything without worrying about the calories—well, at least until the next analytics report comes in!

Why is digital marketing important?

Now, let’s get real: if your business isn’t riding the digital wave, you might as well be sending smoke signals to get your message out. Whether you’re selling handmade soap on Etsy or just trying to offload that vintage lamp from your grandmother (you know, the one that’s seen better days), having a digital presence is key. It’s like throwing a virtual party and inviting the world—who wouldn’t want a piece of that action, right?

And trust me, making noise online isn’t just for the big brands splashing cash everywhere. Remember, the main goal of digital marketing is to grab attention. You want a crowd around your little booth at the marketplace, so to speak, and get folks excited about what you’re  serving. It’s all about creating buzz and connecting with people genuinely interested in what you offer. 

As mentioned earlier, 90% of US adults are online daily. That’s a crazy number of potential customers waiting for you to grab their attention—think about all the opportunities! 

Conclusion 

To sum up, digital marketing is your ticket to spreading the word, connecting with people, and getting them to take action. If you’re ready to dive into this exciting digital world, remember: it’s not just about what you’re selling but how you connect with your audience. So, get ready to dive in, put on your marketing cap, and let’s create some digital magic!

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Google SGE and RAG in AI: How Search and SEO Are Changing Forever https://getaimonitor.com/google-sge-and-rag-in-ai-how-search-and-seo-are-changing-forever/ https://getaimonitor.com/google-sge-and-rag-in-ai-how-search-and-seo-are-changing-forever/#comments Sun, 05 Jan 2025 10:51:46 +0000 https://getaimonitor.com/?p=5989 Google SGE and RAG, are two buzzwords disrupting the tech and SEO community these days. These innovations are reshaping how users interact with search engines and how businesses optimize their content for visibility. This article explores what they are, how they work, and why they matter for SEO. So grab your coffee (maybe tea—whatever you fancy—I […]

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Google SGE and RAG, are two buzzwords disrupting the tech and SEO community these days. These innovations are reshaping how users interact with search engines and how businesses optimize their content for visibility. This article explores what they are, how they work, and why they matter for SEO.

So grab your coffee (maybe tea—whatever you fancy—I won’t judge), sit down, and let’s analyze it in a easy to understand way, I promise.


What the Heck is Google SGE?

The best way for me to explain this is by giving you this example. Picture this: you Google “best pizza in NYC.” Traditionally, you’d get a list of links to blogs and Yelp reviews, right? Now, with Google SGE (Search Generative Experience), the search engine takes a leap forward. It doesn’t just hand you links—it serves you a personalized, AI-generated summary that practically screams, “Here’s the pizza you didn’t know you were craving!”

Why It’s a Game-Changer

  • Fast Answers: No more endless scrolling to get your answer. Boom—your answer is right there.
  • Contextual Relevance: Adapts to the user’s intent with personalized results.Google’s AI reads between the lines of your search intent (spooky but cool).
  • Interactive Visuals: Displays information interactively. Think of it as Instagram meets Wikipedia.
  • Integrated Search: Combines traditional search with AI-generated insights

But here’s the kicker: while this is fantastic for users, it’s a potential nightmare for website owners. Why? Because fewer clicks on links = less traffic to your site. Ouch.

Impact on SEO

But here’s the kicker: while this is fantastic for users, it’s a potential nightmare for website owners. Why? Because fewer clicks on links = less traffic to your site. Ouch.

What the Heck is RAG in AI?

So, let’s go ahead and learn about RAG aka Retrieval-Augmented Generation. Imagine this: you are writing an essay, and you want your memory to work as well as if you got a library book for each of the facts to help you out. RAG is doing just that. 

It puts together the radio of AI’s creativity with the irrevocability of an external source. 

How RAG Works (In Simple Plain English)

  1. Retrieves Information: The system is able to make use of data that has been retrieved, which is like Googling someone in the middle of a conversation—very quick and accurate. 
  2. Generates Text: Combines that info into a response so smooth you’d think it was written by Hemingway. (Okay, maybe not exactly Hemingway.)
  3. Real-time updates: In contrast to basic AI models, RAG is constantly updated. It is like an AI with a pulse. 

Why RAG Rocks

It’s not just for nerdy developers. Businesses are already using it for:

  • Customer support chatbots (finally, ones that don’t give robotic vibes).
  • Content creation (hello, SEO-friendly blogs like this one).
  • Complex problem-solving (because math still haunts me).

Why It’s a Game-Changer

  • Fast Answers: No need to scroll endlessly. Boom—your answer is right there.
  • Tailored Results: Google’s AI reads between the lines of your search intent (spooky but cool).
  • Interactive Visuals: Think of it as Instagram meets Wikipedia.


SGE vs. Google Search: The Face-Off

Okay, here’s an analogy for you: Consider the traditional search as a treasure hunt—you dig through a pile of sources in hopes of finding the right information. In contrast with SGE: you receive both the map and the treasure chest all at once.

Feature Traditional Search Google SGE
Experience Click-intensive & passive No clicks required, summarized & conversational
Time Needed Longer Lightning-fast
Traffic to Websites High Potentially lower

While SGE simplifies life for searchers, it’s throwing SEO pros into a frenzy. Think of it as a chef losing diners because they now get pre-packed meals at their doorstep.


How to Prepare Your Website for Google SGE

Since you can’t beat SGE, why not adapt to it? Here’s your game plan:

  • Master Snippet Optimization: Write content so good it gets featured in SGE’s AI summaries. Think bite-sized but juicy.
  • Leverage Schema Markup: Help Google understand your content’s context. It’s like giving the AI a GPS to your data.
  • Focus on E-E-A-T: Prove your content’s Expertise, Experience, Authority, and Trustworthiness. (I call it the “credibility cocktail.”)
  • Diversify Your Traffic Sources: Don’t put all your eggs in Google’s basket. Think email lists, social media, and—gasp—direct traffic.


RAG vs. Traditional AI Models: Why It’s a Big Deal

Here’s where RAG pulls ahead. Unlike traditional AI models that only rely on pre-trained knowledge (like me only remembering facts from the 90s), RAG pulls in fresh data. It’s like having a friend who not only remembers trivia but also keeps up with TikTok trends.

Cool RAG Applications

  • Chatbots: Forget those useless “Sorry, I didn’t get that” responses.
  • Content Creation: Need SEO content? RAG’s got your back (but I still think I’m better 😉).
  • Dynamic Research: Perfect for industries where data changes faster than fashion trends.


My Two Cents: The Future of SEO with SGE and RAG

Honestly, the rise of SGE and RAG feels like watching a plot twist in your favorite series. It’s exciting but nerve-wracking. For businesses, the key is to adapt and innovate. AI won’t replace humans (not yet), but it will reward those who embrace it.

Also, don’t forget: even the best AI needs your expertise to thrive. After all, AI doesn’t sip coffee, stress about traffic numbers, or laugh at bad puns. That’s where we come in—adding the human touch AI can’t replicate.


Feeling Overwhelmed?

Are you ready to embrace the AI revolution, or will you be left behind? You don’t have to navigate this journey alone; we can be your Robin while you take on the role of Batman. Schedule a meeting directly with the founder of AI Monitor here: https://appt.link/ai-monitor/30-minutes-discovery-call

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Why are Google Rankings Now Obsolete Due to ChatGPT? https://getaimonitor.com/why-are-google-rankings-now-obsolete-due-to-chatgpt/ https://getaimonitor.com/why-are-google-rankings-now-obsolete-due-to-chatgpt/#respond Sat, 17 Aug 2024 10:04:28 +0000 https://getaimonitor.com/?p=5956 Many of us have either prepared SEO reports or received them with search engine ranking (“SERP”) for specific keywords. However, as I have repeatedly discussed with anyone willing to listen, depending on SERP alone to measure content performance is becoming increasingly outdated. I’m not saying that SERP rankings for specific keywords relevant to your business […]

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Many of us have either prepared SEO reports or received them with search engine ranking (“SERP”) for specific keywords. However, as I have repeatedly discussed with anyone willing to listen, depending on SERP alone to measure content performance is becoming increasingly outdated.

I’m not saying that SERP rankings for specific keywords relevant to your business are entirely meaningless tomorrow or next week. However, it is a fact that Large Language Models (LLMs) have fundamentally changed the way we find and consume information. Thus, SEO, which was once an effective marketing strategy, is going to die the same fate as traditional publishing houses did after the advent of the Internet.

This article dives deeper into this claim and introduces three new criteria for a more comprehensive approach.

Case Study: The Fallacy of Solely Focusing on SERP Ranking

Consider the search query “Tips for traveling to Paris for the first time.” Traditionally, an SEO report would show the ranking of various web pages containing this keyword, as can be seen below:

Google AI overview results

However, with LLMs, search engines like Google now provide AI-powered abstracts directly on the search results page. These abstracts collect information from various sources, making it challenging to identify the exact ranking of each webpage. You can observe this in the image below:

AI overview are experimental

Traditional Reports vs. LLM Summaries: A Comparison

The table below represents the limitations of depending solely on SERP ranking. It compares search engine results with AI summaries for the earlier-mentioned query.

Comparison of Search Engine and Generative Engine Results

Query: Tips for traveling to Paris for the first time

Rank Web Sources  Search Engine Ranking AI Summary Ranking  
1 Everyday Parisian
https://everydayparisian.com/first-time-guide-to-paris/First Time Guide to Paris 
1 Not listed  
2 Travel? Yes Please!
https://www.travelyesplease.com/what-to-expect-first-trip-to-paris/
First Trip to Paris: What to Expect
2 Not listed  
3 Klook
https://www.klook.com/blog/paris-travel-tips/First Time in Paris? 
3 2  
4 The Hungry Travelerhttps://www.thehungrytravelerblog.com/paris-for-beginners-tips/Paris for Beginners: Tips for Stress-Free Travel  4 Not listed  
5 Full Suitcasehttps://fullsuitcase.com/tips-visit-paris-first-time/Traveling to Paris for the First Time (2024): Tips & Tricks 5 1  

Result

As you can see, the AI summary includes some sources (Klook and Full Suitcase) but not others. This unpredictability makes it challenging to judge content performance based mainly on position in the SERPs.

List of Sources Vs. Inline Citation

To further complicate matters, the AI overview powered by LLMs provides an inline citation in some cases; however, in other cases, the summary only lists the sources at the end.

For example, in the Google AI Overview, relevant sources are usually mentioned at the end of the summary or after each paragraph, as shown in the above image.

On the other hand, Bing Copilot usually provides sources in the form of inline citations. This observation can be noticed in the below image when we ask Copilot the same question we asked Google.

AI overview are experimental

New Benchmarks for Measuring Content Success

Brands and content creators currently don’t know how to:

Question Search Engine AI Summary
Measure visibility or impression of their content?
Improve the visibility of their content?
Determine the semantic connotation of their content?

Since SERP ranking alone is no longer enough, me and my co-founder decided to launch AI Monitor. It is the world’s first and most popular tool for measuring your brand and content’s success on LLM-powered search platforms, such as ChatGPT, Copilot, Google AI Overview, and Perpexility AI, to name a few. AI Monitor enables you to monitor and measure alternative criteria such as:

  1. Visibility and Impressions:
    AI Monitor can track and measure your brand mentions in AI summaries from various search platforms in response to different user inquiries. It can also track whether various AI search platforms are finding your content relevant and useful for various prompts.
  2. Content Engagement:
    Are users engaging with your content? Keep an eye on metrics like click-through rates, time spent on a page, and bounce rates to gauge your content’s resonance with the audience. Additionally, AI Monitor’s “LSE Click Rate (LCR)” score amalgamates key metrics to reflect a website’s true exposure within LSE responses.
  3. Semantic Understanding:
    Is your brand or product being referenced in a positive or negative light in search results? AI Monitor can help you track these sentiments in the LLM-powered summaries.

Conclusion: Early Adopters of LLM SEO Will Benefit Massively

Embracing LSO at an early stage can yield a considerable competitive advantage in the swiftly evolving digital terrain. Consequently, optimizing content for LL models can enhance visibility and traffic, given that these models are becoming primary sources of information.

Focusing on these metrics provided by AI Monitor can help you gain a thorough understanding of your content’s performance and effectiveness in the age of LLM-powered search. Start your free trial for AI Monitor today!

References

  1. The Importance Of Keyword Research In Niche Blogging | Copywriters Board.
  2. How to Write A Blog That Converts: A Comprehensive Guide.
  3. Expertise – Scion Advisory.
  4. The Ultimate Guide to Creating a Detailed Page That Engages and Converts – Butter Milk Hill Restaurant.
  5. The Importance Of Keyword Research In Niche Blogging | Copywriters Board.

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Beyond Rankings: Measuring Website Visibility in the Age of LLMs https://getaimonitor.com/beyond-rankings-measuring-website-visibility-in-the-age-of-llms/ https://getaimonitor.com/beyond-rankings-measuring-website-visibility-in-the-age-of-llms/#respond Sun, 28 Jul 2024 09:47:26 +0000 https://getaimonitor.com/?p=5943 During the good old days of search engine optimization (SEO), calculating a webpage’s visibility in search engines was quite easy. All you had to do was calculate its mean position for the keywords relevant to the webpage. However, this has drastically changed following the advent of large language models and their incorporation into Search Experiences […]

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During the good old days of search engine optimization (SEO), calculating a webpage’s visibility in search engines was quite easy. All you had to do was calculate its mean position for the keywords relevant to the webpage. However, this has drastically changed following the advent of large language models and their incorporation into Search Experiences commonly referred to as LLM-powered Search Engines (LSE), such as ChatGPT, Copilot, and Google AI Overview. Using traditional impression metrics to indicate how far a site has reached in these ASEs is no longer possible.

Unlike traditional search engines that deliver ranked lists of links, LLM-powered AI Search Engines transform the traditional search journey by offering information from a range of multiple places in a single view. There’s no longer a need for the user to navigate through several web pages from search to find what they’re looking for.

This process creates a unique challenge: accurately measuring the visibility of a website referenced within AI summaries. References can appear in different formats, and user behavior within these environments is not fully understood.

This article proposes a novel framework for analyzing website visibility within LSEs. We introduce the “AIM Score” for different types of prompts (akin to keywords in SEO), which combines several key metrics weighted based on their importance to reflect a website’s accurate exposure within LSE responses. These metrics can be broadly categorized into:

1. Probability of Invoking AI Summaries (PIA)

At one point, around 85% of search queries triggered an AI summary. This trend has undoubtedly reversed, and according to current estimates, around 14% of searches trigger an AI Summary.

It is also worth noting that queries from different domains have different likelihoods of triggering AI overview. For some domains, such as law or medicine, it can be as low as 1%, and for others, it can be as high as 28%.

However, experts claim that Google is going for a slow rollout of this feature amid huge backlash on some of the results generated by AI summary. However, slow rollout or fast – the future belongs to AI summaries, and the likelihood mentioned above is bound to change shortly. We are keeping a close eye on this metric and adjusting it’s weight in our final score accordingly.

2. Brand Sentiment Score (BSS)

This metric measures the sentiment behind the brand mentions in the LSE response, with a floating point score between -1.0 (negative) and + 1.0 (positive) assigned to the sentiment.

3. Word Count Position Adjusted Score (WCPAS)

Some researchers recommend calculating this metric by analyzing the number of words in sentences that mention a site while adjusting for their placement within the LSE response, as outlined here. Higher word counts coupled with early placement indicate higher user exposure.

Nevertheless, analyzing the anonymous usage and click data from our own RAG solution and partner platforms made it obvious that the real user behavior does not match the above-mentioned recommendation. However, due to their confidentiality, they cannot be shared.

4. Visible Bibliographic Reference Rank (VBRR)

This metric measures how prominent a website is by tracking whether it has been explicitly referenced within the responses generated by AI search engines.

5. Expandable Bibliographic Reference Rank (EBRR)

This metric goes beyond VBRR to accommodate instances where a website is referred, but the full citation or links are hidden behind a “click-to-expand” functionality. It is obvious that such links are less valuable than links appearing under VBRR.

6. Nature of Query

The different kinds of user queries, such as informational, transactional, etc., can influence the relevance of a website referenced within the LSE response.

7. Cumulative User Behaviour (CUB)

While the factors mentioned so far provide a solid foundation, they do not explain an individual user’s subjective perception of a website mentioned in the summaries. We would, therefore, recommend including a metric that analyzes user perception of links and citations provided in the LLM-powered summaries.

G-Eval is currently considered a state-of-the-art LLM evaluation tool known for its high correlation with human judgment in subjective tasks. The original paper can be accessed here.

The factors that influence user perception of a website in a summary include:

  1. Relevance: How well does it quote the material suited to the user’s query?
  2. Influence: To what extent does the LSE response rely on the cited website?
  3. Uniqueness: Does the citation offer fresh information that is not readily found elsewhere?
  4. Subjective Position & Count: These metrics go beyond simple word count to capture how prominently a website is presented within the response (position) and how much content is perceived from the website (count).
  5. Click Probability: This metric estimates the likelihood of a user clicking on the website reference within the LSE response.
  6. Material Diversity: This metric captures the information from the website within the LSE response.

Conclusion

AIM Score is the most advanced and comprehensive rating system that helps digital marketers evaluate how visible their web content is in response to various user prompts (similar to keywords in SEO). This score combines several essential metrics, weighted based on their significance, to provide a holistic view of a site’s visibility in AI summaries created by LLM-powered search engines.

By leveraging the metrics offered by AI Monitor, content creators can now anticipate how well AI summaries will receive their content. This tool helps creators optimize their content for modern search engines, providing deep insights into their content’s performance and effectiveness in the age of LLM-powered search.

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