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ChatGPT, Claude and Gemini search differently: A practical GEO & AEO guide by engine

Hand taps glowing search bar with http://www. and Search; ideafoster logo on blue background.

TL;DR


Google AI Overviews has reduced organic CTR by up to 34.5% in queries where it appears. 51% of B2B buyers now start their research in a chatbot, not Google. ChatGPT, Claude and Gemini behave radically differently, one tactic does not work for all three. Brands cited in AI responses get 35% more organic clicks. Digital visibility now has three layers SEO, GEO and AEO, and any strategy that ignores two of them is operating blind.


At the end of this post you'll find how to take advantage of this window without losing rigor or judgment.


Introduction


There's an experiment that more and more marketing directors are running quietly: open ChatGPT, type the question a potential client would ask about their category, and see what comes back. If your brand doesn't appear, the problem isn't SEO. It's AI visibility. Search changed. Where there used to be ten blue links, there's now a direct answer. And that answer is generated by an AI that decides which brands to cite, which sources to use and which to ignore. In 2026, this isn't a trend, it's the landscape your competitors are already operating in. This article explains what GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) are, how they differ from traditional SEO, why all three coexist and how to adapt your digital marketing strategy without starting from scratch.



1. Search changed. Did your strategy?


Organic CTR is falling and the buying process starts somewhere else

The data is clear: Google AI Overviews has reduced organic CTR by 34.5% in the queries where it appears, according to an eMarketer study. Other research, like Seer Interactive's analysis of 53 brands and 5.47 million queries between January 2025 and February 2026, documents drops of up to 61%. Not every category is equally affected, but the trend is consistent.


Pages that historically lived on traffic from queries like "what is", "how does it work" or "best options for" are the most exposed. If your educational content blog generates leads, this shift affects you directly.


51% of B2B buyers now start their vendor research in a chatbot, not Google. In April 2025 that figure was 29%. In just over a year, the entry point to the funnel changed for more than half of the B2B market. 44% of business decision-makers have already made a purchase decision based on brands discovered in AI responses. If you're not in that conversation, you're arriving late to the evaluation process.


A brand can hold position 1 on Google and still be invisible to the buyer who types their first question into ChatGPT.



2. SEO, GEO and AEO: the three layers that define your visibility in 2026


Three disciplines that work together, not separately

Traditional SEO isn't dead. It's still the foundation. But in 2026 it functions as a necessary condition, not a sufficient one: if your content lacks domain authority, clean technical structure and consolidated topical relevance, you'll likely be invisible in the other two layers too.


GEO (Generative Engine Optimization) is the process of structuring, writing and publishing content so that AI models use it as a source when they answer questions. The goal isn't to appear in a ranking, it's to get the model to cite you. A Princeton University study found that including external citations improves GEO visibility by 30%, adding statistics improves it by another 30%, and expert quotes increase it by up to 41%. There is only a 12% overlap between sources cited by AI and Google's top 10.


Sophie Coley, Head of AI & Strategy at Propellernet, ran 200 identical prompts across ChatGPT, Claude and Gemini to measure how many external searches each performs before responding. The results are revealing: ChatGPT did not search at all in 96% of factual questions, responding from its training data, but it searched 100% of the time for queries with commercial intent. Claude performed an average of one search regardless of question type. Gemini searched in almost every case, and the number spiked with specific and combined prompts.


The conclusion is direct: treating AI visibility as a single number hides more than it shows. Getting ChatGPT to mention you requires a different tactic from getting Gemini to do so. For ChatGPT on factual queries, the work is about reputation and presence in sources that enter its training data. For Gemini, it's about structure and specificity in real-time content. If your audience is technical B2B, Claude is the engine that, per the data, concentrates that user profile above its market share.


There is only a 12% overlap between sources cited by AI and Google's top 10. Ranking on Google does not guarantee AI visibility.



3. How to adapt your strategy without starting from scratch


Structure, authority and measurement as a starting point

The first GEO recommendation isn't to create more content, it's to make the content you already have easier to cite. The first sentence after each H2 should be readable independently and answer the paragraph's question in 40–60 words. If an AI model captured only that block, it should make sense on its own.


Reddit captures around 40% of all citations in AI responses across ChatGPT, Gemini and Claude. That turns presence in specialist communities: forums, niche publications, mentions in sector media, into a direct lever for AI visibility. For ChatGPT specifically, the tactic is different: build a knowledge base about your brand in sources models consume press articles, team profiles, community mentions, verified reviews. This isn't link building. It's reputation management with AI logic.


SEO metrics don't capture AI visibility. CTR in Search Console doesn't tell you whether your brand appears in ChatGPT's responses when someone asks about your category. A minimum viable exercise: define the ten queries your ideal client might type into ChatGPT, Perplexity or Gemini before searching for you on Google. Run them. Note whether you appear, your relative position within the response and which sources the model cites. That's already actionable intelligence most marketing teams don't have today.



What does this mean for your marketing team?


GEO and AEO don't replace what already works, they extend it. The work isn't to scrap your content strategy and start over; it's to understand which layer has gaps and act in order of impact.


Five steps to start this week:


  1. Audit your AI visibility: run the ten key queries for your category in ChatGPT, Perplexity and Gemini and record where you appear.

  2. Adjust existing content: review the first sentence of each H2 and make sure it's self-contained and citable.

  3. Define your priority engine: technical B2B points to Claude, mass volume to ChatGPT, specific searches to Gemini.

  4. Build presence beyond your site: specialist media, relevant communities, verified directories and press mentions.

  5. Start measuring: you don't need a paid tool to get an initial AI visibility baseline.



AI visibility is the competitive advantage of the next cycle


Brands that position themselves in GEO and AEO in 2026 will have an advantage their competitors will take months to build. Competition in English is still limited in many categories. The window is open.




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Frequently Asked Questions

1. Are GEO and AEO the same thing?

In practice the terms are used interchangeably. GEO focuses on the fact that AI generates responses; AEO focuses on the fact that those responses answer specific questions. For strategy purposes they function as a single discipline with largely overlapping tactics.


2. Do I have to abandon my current SEO strategy?

No. SEO remains the foundation. GEO and AEO are additional layers, not replacements. Content without solid domain authority and technical structure also won't be cited frequently by AI.


3. How long does a GEO/AEO strategy take to work?

It depends on the engine. Gemini, which searches in real time, can react to content changes within days. ChatGPT on factual queries works from training data, meaning changes take weeks or months to surface. Perplexity sits somewhere in between.


4. Where do I start if my team doesn't have the resources to do everything at once?

Start with an audit. Define ten queries your potential client might type into ChatGPT or Perplexity about your category and run them manually. The results will tell you where the biggest gap is and let you prioritize without spreading yourself thin.


 
 
 

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