Is your site on the first page of Google but never appears in ChatGPT or Perplexity responses? This is not a bug. This is the very logic of AI, radically different from that of Google
For six months, SME managers have all been asking me the same question: their site is well positioned on Google, but their clients tell them that ChatGPT never cites them. This is no coincidence. It is the consequence of a silent rupture in the way the web is now read.
Two readings of the same web
Google and major language models like ChatGPT, Perplexity or Gemini consume web content in fundamentally different ways. Google crawls, indexes and ranks pages. It looks for relevance to a specific query, the popularity of a domain, the technical structure of a site. A good H1, careful meta tags, quality backlinks: these are the levers that advance search results.
Generative AI does not index in real time. They were trained on corpora of texts, and their answers are based on sources deemed reliable, clear, and sufficiently cited elsewhere. It is not your position in Google that determines whether you will be mentioned in a ChatGPT response. It is the information density of your content, its narrative structure, and the fact that it is taken up or referenced by other sources.
In other words: you can have the best SEO score in your industry and not exist for any AI model.
What AIs are really looking for
Language models have citation logic that is more like that of a journalist than that of an algorithm. They favor content which clearly answers a question, which defines concepts, which is based on precise data, and which is structured so as to be easily cut into useful fragments.
A Google-optimized product page, with its strategically placed keywords, is often of no value to an LLM. What AI is looking for is a synthetic response, verifiable facts, a structured point of view. It seeks to understand what you actually do, not to interpret text calibrated for an indexing robot.
This is what we now call GEO, for Generative Engine Optimization: a discipline distinct from SEO, focused on readability by AI rather than algorithmic popularity. The term is still little known to SME managers. It will be much more so in eighteen months.
The trap of over-optimized content
The paradox is striking: the sites best optimized for Google are sometimes the least well perceived by AI. For what ? Because traditional SEO has long encouraged the repetition of keywords, dense and sparse texts, and generic formulations supposed to “cover the semantic field”. These practices degrade precisely what LLMs value: clarity, singularity, real information density.
I analyzed several dozen SME sites well positioned on Google. Their service pages often look like catalogs: lists of services, empty formulas such as “your trusted partner” or “a team of experts at your service”, and no concrete answer to a question that a customer might ask. These pages have no chance of being cited by ChatGPT, regardless of their domain authority. It was by digging into this paradox, SME after SME, that I ended up building ForgR.
Adapt without starting over
The good news is that it is not necessary to completely redesign your site. It’s about enriching existing content using a different logic. Some concrete principles: write pages that answer a specific question from the first paragraphs, integrate numerical data and explicit definitions, structure the content in short sections with each heading functioning as an independent mini-answer.
The central idea is to produce content that can be cited: a sentence that unambiguously explains what a company does, a figure that illustrates a phenomenon, an identifiable point of view. It is this type of content that enters the reference corpora of AIs and generates mentions in their responses.
Regularly publishing in-depth articles, treating subjects in depth rather than breadth, answering the questions that customers really ask: these editorial practices are not new, but they are becoming decisive in an environment where a growing fraction of research first goes through AI.
In conclusion
The divide between SEO and GEO is not a passing fad. It reflects a structural change in the way businesses and individuals seek information. In five years, a significant portion of purchasing decisions will first go through a query to an AI before going through a traditional search engine. The companies that have anticipated this change will not necessarily be those that had the best Google SEO. They will be the ones who understand that being indexed by an algorithm and being cited by an AI are two radically different skills, and that there is still time to acquire them.
