AI visibility (GEO): AI engines cite the clearest, not the most visible
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 our lifelong craft: a sharp message, structured pages, citable proof. Because answer engines do not rank pages, they extract statements.
What AI does with your sentence
“AI platform to optimise your processes”
No identifiable question. No named prospect. No metric. The AI has nothing to extract.
“45% reduction in time-to-hire for staffing agencies with more than 50 recruiters”
Quantified benefit, named target, precise segment. The AI knows which question you answer.
IN SHORT
- •The Fast Growth Advisors AI Visibility (GEO) offer makes your company citable by ChatGPT, Perplexity and Google’s AI Overviews.
- •The free diagnostic includes a citability test: five questions from your category asked to AI engines, answers archived.
- •Three axes decide your presence in generated answers: message clarity, the technical structure of your pages, and what third-party surfaces say.
- •French startups’ GEO-readiness caps at 18% of its potential: the gap is an opportunity.
- •The no-commitment entry point is the free diagnostic.
Why is AI visibility becoming a commercial issue?
Your buyers have changed their reflex. Before contacting you, they ask ChatGPT or Perplexity their questions: which solutions exist, which to compare, who to trust. And they take the first answer as an expert opinion.
The difference with Google is brutal. On a results page, coming fourth still means existing. In an AI-composed answer, 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, the internal comparisons and the checks your prospects run, well before the first meeting.
How do AI engines choose their sources?
Three axes decide your presence in a generated answer. We measure them separately, because they are fixed separately.
What gets read
An AI handles the implicit very poorly. If your pages do not state in black and white who you serve, what you do and what sets you apart, they are unusable in an answer.
Concretely: questions asked the way your prospect asks them and their answers, quantified ROI proof, named client quotes. Message clarity is not a matter of style: it is the entry condition.
What stays invisible
Everything that must be in the page without a human reading it: Schema.org structured data aligned with the content type, llms.txt and llms-full.txt, crawl directives, declaration in Search Console and Bing, sitemap and the technical SEO that carries the rest.
It is half the work, and the half almost nobody does: French GEO-readiness caps at 18% of its potential.
What others say
AI engines cross-reference third-party surfaces heavily: Reddit, G2, Trustpilot, Gartner, the trade press, Q&A spaces.
Which ones matter depends entirely on your market: a SaaS vendor does not play out on the same surfaces as a manufacturer. Your visibility depends on them as much as on your own site.
And we check for real. Not a score in a dashboard: your category’s questions are asked to ChatGPT and Perplexity, before and after, answers archived. You are cited, or you are not.
How does Fast Growth Advisors build your AI visibility?
Diagnose
The free diagnostic includes a citability test: five of your category’s questions asked to ChatGPT and Perplexity, answers archived, a read of the causes on the message side and the surface side. You know where you stand, and why.
Fix
The message first: who you serve, what you do, what sets you apart, phrased for a hurried reader as much as for a machine. The structure next: extractable pages, questions and answers, quantified proof, markup. It is the core of our Message-Market Fit method.
Guide production
A clear site is not enough: you have to feed the surfaces AI engines consult, regularly. We define what to publish, where and in what format; your teams produce. To industrialise without sacrificing quality, our NOMO IA software is built exactly for that.
Discover NOMO IA → · Our AI & agents approach →
A point of honesty about tools: a GEO dashboard measures your presence, it does not create it. What creates a citation is clear, structured and 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 audited French startups 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 data is freely reusable with attribution. For the full methodology: Explore 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 AI answers like ChatGPT, Perplexity or Google’s AI Overviews. Where SEO optimises page ranking, GEO optimises 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 do not state who you serve, what you do and what sets you apart, an AI can extract nothing. An unusable structure: no questions and answers, no clean definitions, no sourced figures. And an absence from the third-party sources AI engines consult. The diagnostic identifies the cause that affects you first.
Does GEO replace SEO?
No, it adds to it. The foundations are shared: clear, structured and 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 with the technique.
GEO, AEO, LLMO: what are the differences?
They are mostly labels for the same discipline. GEO (Generative Engine Optimization) has taken hold in usage; AEO stands for Answer Engine Optimization, LLMO for Large Language Model Optimization. Whatever the acronym, the mechanics are identical: publish clear, structured and verifiable content, on your site and on the surfaces AI engines consult, so an answer engine can extract and cite it.
Do you need a GEO tracking tool?
Not to begin with. A monthly manual protocol is enough for a startup: ask ChatGPT and Perplexity the three or four questions your customers ask you, archive the answers, note who is cited and why. Tracking tools bring scale to agencies and large brand portfolios. But no dashboard ever created a citation: the message, the structure and presence on the right surfaces create it.
How long before you see GEO results?
Two horizons. Engines with live retrieval (Perplexity, AI Overviews, ChatGPT with search) can reflect your fixes within weeks, as soon as your pages are recrawled. Presence in answers drawn from model training and pick-up by third-party surfaces build over several months. That is why the method starts with the fast-impact 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.
For the detailed technical protocol: read our method for making a site citable by AI engines →