AI Visibility (GEO): become a source AI engines cite
GEO (Generative Engine Optimization) covers the practices that make a company visible and correctly cited in AI answers: ChatGPT, Perplexity, Google's AI Overviews, Gemini. At Fast Growth Advisors, GEO extends what we have always done: a sharp message, structured pages, citable proof. Because answer engines don't rank pages, they extract statements.
Why is AI visibility becoming a commercial issue?
Your buyers have changed their reflexes. Before contacting you, they ask ChatGPT or Perplexity: which solutions exist, which ones to compare, who to trust. And they treat the first answer as expert advice.
The difference with Google is brutal. On a results page, ranking fourth still means existing. In an answer composed by an AI, not being cited means not existing at all: the conversation continues without you, with the competitors who were picked up.
For a B2B startup, the stakes are direct: these answers feed the shortlists, internal comparisons and background checks your prospects run, long before the first meeting.
How do AI engines choose their sources?
Three mechanisms decide whether you appear in a generated answer.
Statement extraction. An AI handles implicit meaning very poorly. If your pages don't state in plain words who you serve, what you do and what sets you apart, they are unusable in an answer. Message clarity is not a matter of style: it is the entry condition.
Usable structure. Answer engines favor what reads fast and splits well: Q&A format, sharp definitions, sourced and dated figures, Schema.org markup matching the content type.
Third-party surfaces. AI engines heavily cite comparisons, review platforms and Q&A spaces. Your visibility in their answers depends on these surfaces as much as on your own site.
How does Fast Growth Advisors build your AI visibility?
1. Diagnose. The free diagnostic includes a citability test: five questions from your category asked to ChatGPT and Perplexity, answers archived, causes read on the message side and the surfaces side. You know where you stand, and why.
2. Fix. The message first: who you serve, what you do, what sets you apart, phrased for a busy reader and for a machine. Then the structure: extractible pages, Q&A, quantified proof, markup. This is the core of our Message-Market Fit method.
3. Produce and distribute. A clear site is not enough: you need to feed the surfaces AI engines consult, regularly, without sacrificing quality. That is the role of NOMO IA, the editorial platform built by Fast Growth: structured content, Schema.org markup generated automatically, quality-checked before publication, designed to be read by humans and extracted by answer engines.
Discover NOMO IA → · Our AI & agents approach →
A note of honesty about tools: a GEO dashboard measures your presence, it does not create it. What creates a citation is clear, structured, sourced content, published in the right place. Measurement confirms the work, it does not replace it.
What does the Message-Market Fit Observatory show?
We audited the public surfaces of 369 French startups with a published methodology. The result directly links clarity and citability:
75.9% of the 369 French startups audited fall below the message clarity threshold. They are largely the same ones AI engines never cite.
Source: Message-Market Fit Observatory, Fast Growth Advisors, 2026.
This figure can be freely reused with attribution. For the full methodology: Discover the Observatory →
Frequently asked questions about AI visibility
What is GEO (Generative Engine Optimization)?
GEO covers the practices that make a company visible and correctly cited in answers from AI engines such as ChatGPT, Perplexity or Google's AI Overviews. Where SEO optimizes page rankings, GEO optimizes extraction: message clarity, structured content, sourced figures, and presence on the surfaces AI engines consult (reviews, comparisons, Q&A).
Why doesn't my company appear in ChatGPT or Perplexity answers?
Three causes dominate. An implicit message: if your pages don't state who you serve, what you do and what sets you apart, an AI has nothing to extract. An unusable structure: no Q&A format, no sharp definitions, no sourced figures. And an absence from the third-party sources AI engines consult. Our diagnostic identifies which cause affects you first.
Does GEO replace SEO?
No, it adds to it. The foundations are shared: clear, structured, credible content. What changes is consumption: Google ranks pages, answer engines compose an answer and cite their sources. A sharp message serves both. That is why the work starts with the message, not the technique.
GEO, AEO, LLMO: what's the difference?
Mostly labels for the same discipline. GEO (Generative Engine Optimization) has become the common term; AEO stands for Answer Engine Optimization, LLMO for Large Language Model Optimization. Whatever the acronym, the mechanics are identical: publish clear, structured, verifiable content, on your site and on the surfaces AI engines consult, so answer engines can extract and cite it.
Do I need a GEO tracking tool?
Not to get started. A monthly manual protocol is enough for a startup: ask ChatGPT and Perplexity the three or four questions your clients ask you, archive the answers, note who gets cited and why. Tracking tools bring scale to agencies and large brand portfolios. But no dashboard has ever created a citation: the message, the structure and presence on the right surfaces do.
How long before GEO efforts show results?
Two horizons. Engines with live retrieval (Perplexity, AI Overviews, ChatGPT with search) can reflect your fixes within weeks, as soon as pages are recrawled. Presence in model training data and pickup by third-party surfaces build over months. That is why the method starts with the fast-acting fixes: message, structure, markup.
Where to start?
With the measurement that costs nothing: the free diagnostic, citability test included. You will know whether your prospects and AI engines understand the same thing about you, and what to fix first.