AI visibility: getting cited by answer engines
AI visibility is GEO (Generative Engine Optimization), also called AEO (Answer Engine Optimization): the AI-era version of SEO. Instead of ranking pages, answer engines (ChatGPT, Perplexity, Google’s AI Overviews, Gemini) extract statements and cite their sources. The question is no longer where you rank, but whether you are cited, and how prominently in the answer. At Fast Growth Advisors, GEO extends our lifelong craft: a sharp message, structured pages, citable proof. An engine doesn’t cite just the most visible: it cites the clearest.
What AI does with your sentence
“AI platform to optimise your processes”
No identifiable question. No named prospect. No metric. Nothing for the AI to extract.
“We cut time-to-hire by 45% for staffing agencies with more than 50 recruiters.”
Quantified benefit, named target, precise segment. An AI knows exactly 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.
- •Measured on 1 September 2026: across twelve questions from our market, Google wrote an answer to all twelve and cites fast-growth.fr in two. We publish our own reading before our clients’.
- •Measured: on a typical B2B page, half the text survives extraction, but none of the six pieces of proof. The free diagnostic includes a citability test, answers archived.
- •Three axes decide your presence in generated answers: message clarity, the technical structure of your pages, and what third-party surfaces say.
- •Measured: 876 of the 1,129 requests declaring themselves an AI assistant on our servers were proven impersonations. Your AI visibility figures may well be wrong.
- •The no-commitment entry point is the free diagnostic.
What counts as visibility in AI answers (GEO, AEO, SEO)?
Visibility in AI answers is how often, and how, a company is cited in the answers engines write themselves: Google’s AI Overviews, ChatGPT, Perplexity. Nobody visits a site: the reader already has the answer. What counts now is being the source the machine picks up, whatever your rank.
Calling it SEO under another name misses the point.
Across our 50 B2B buying questions measured on 1 September 2026, 30% of the sources cited by Google did not appear in the classic results. Ranking well is no longer enough, and no longer required.
And traffic is already moving. In the Ahrefs study of 963 domains, before and after AI Overviews arrived in France, the most exposed sites lose 23.1% of their click-through rate while keeping their rank. The result: a rankings report in the green, and a cost per lead that climbs.
| Question | Classic search ranking | Citation in AI answers |
|---|---|---|
| What is measured | Your rank in a list of links | Your presence in a written answer |
| What triggers the visit | The click on your link | Nothing. The reader already has the answer |
| What you work on | Keywords and links | Message clarity and how easily it can be extracted |
| What gets verified | A ranking position | A citation, dated, with its verification link |
It is measured question by question, never as one overall score.
Three states are kept apart, never merged: the engine cites you, it answers without citing you, or it does not answer that question at all. That third state means there is nothing to measure yet, which is a different thing from being invisible.
Two vocabulary questions come up before all the others: GEO or SEO, what really changes → and GEO or AEO, two names for one discipline →
Does Google cite you in its AI Overviews?
When Google writes the answer itself at the top of the results page, it keeps a handful of sources and drops the rest. Fast Growth Advisors measures that choice, question by question, and hands back the link that lets you run the search again.
Three outcomes are possible on any given question, and we never merge them.
Google cites you, Google answers without citing you, or Google does not answer this question at all. That third one is not a failure of your site.
| What the measurement finds | What we write | Is it a fault of your site? |
|---|---|---|
| Google generates an answer and cites your page | Google cites you | No. Worth protecting |
| Google generates an answer without citing your page | Google answers without citing you | Yes. This is the finding that matters |
| Google generates no answer at all | Google does not answer this question | No. There is nothing to measure |
Most tools on the market merge the last two states, because all they read is the text of the answer. They then report an invisibility that nothing established. A question Google does not answer tells you nothing about your site: it is an absence of measurement, and we write it as such. An answer that cites three of your competitors and not you, on the other hand, is a finding, and that one can be fixed.
Scope, stated plainly: this measurement covers Google AI Overviews. Not ChatGPT, not Perplexity, not browsing agents. Those are measured differently, and we do that too. Every reading returns the state of the question, the text Google wrote, the pages it cites with yours flagged if it appears, your organic ranking on the same query, and the link to run the search yourself. Our own UK baseline is being established now, and it will be published here.
Every reading is dated, because answers vary from one day to the next: we saw it happen twice in a single day on the same question.
What does an engine keep from your page?
In an AI-composed answer, not being cited means not existing at all. That leaves one question: what does an engine actually keep from a page? Our team built a fictional B2B startup homepage carrying the most common defects: result figures, client logos, testimonial and pricing injected by JavaScript. Then we submitted it to the three extractors that prepare the corpora of large models.
share of text kept share of proof kept
| Reading | Bytes of text | Share | Proof kept |
|---|---|---|---|
| Seen by a human | 1,450 | 100% | 8 / 8 |
| trafilatura | 706 | 49% | 1 / 8 |
| jusText | 796 | 55% | 2 / 8 |
| Resiliparse | 949 | 65% | 2 / 8 |
Half the text survives, which reassures. None of the six proofs survives, which condemns. Only the promise gets through, with an old positioning left hidden in the code during a redesign. Fed this text alone, an engine can then say what the company does, never what sets it apart. Full protocol in our white paper →
How to get cited by ChatGPT and AI?
Three axes decide your presence in a generated answer. Fast Growth Advisors measures 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. Measured: 0.91 out of 5. That is the weakest of the Observatory’s fifteen sub-criteria, 18% of the potential.
What stays invisible
Everything that must be in the page without a human reading it: Schema.org structured data aligned with the content type, 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. Measured: 61% of the Observatory’s detailed audits have their value figures in the press, not on their own site.
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. Measured: a third of the queries ChatGPT issues for a French-language question go out in English. The surfaces that count are not always in the reader’s language.
And we check for real. Not a score in a dashboard: your category’s questions are asked to ChatGPT, Perplexity and Google AI Overviews, before and after, answers archived. You are cited, or you are not.
Which language does an engine search in on your behalf?
Your buyer types a question. The engine turns it into search queries of its own, which it runs without showing them.
Fast Growth Advisors asked 30 questions across 15 sectors, in French, to three engines through their official interfaces, and read the queries actually issued. Total cost of the study: 4.95 dollars.
| Engine | Queries issued | In French | In English | Mixed or undetermined |
|---|---|---|---|---|
| ChatGPT | 96 | 40 | 34 | 22 |
| Claude | 52 | 34 | 3 | 15 |
| Gemini | 44 | 35 | 0 | 9 |
A third of ChatGPT’s queries go out in English for questions asked in French, and the share rises on technical B2B subjects.
Two consequences follow. If you sell into non-English markets, your English pages are read by engines answering local buyers, so they are not a secondary asset. And if you sell in English, your content is the reference literature those engines fall back on, which is an opening in every market where local material is thin.
Are your AI visibility audit figures true?
A bot is whatever it declares itself to be: the user agent is a free text field.
Fast Growth Advisors verifies the identity of every bot, through published address ranges and reverse resolution confirmed in both directions. Over thirteen days, 876 of the 1,129 requests presenting themselves as an AI assistant were proven impersonations, and the 53.7% error rate a non-verifying tool would have displayed drops to 0.0% on authenticated requests alone.
| Identity verdict | Requests | Missing pages |
|---|---|---|
| Authenticated identity | 154 | 0.0% |
| Proven impersonation | 876 | 69.1% |
| Total, reading without verification | 1,129 | 53.7% |
Question to put to your current measurement tool: what does bot identification rest on in this report? If the answer is the user agent, the volumes shown mix genuine bots and impersonators. Method and four verdicts, in our white paper →
How does Fast Growth Advisors, the Message-Market Fit firm, build your AI visibility?
Fast Growth Advisors works in 3 steps: diagnose, fix, guide production.
Diagnose
Our free diagnostic includes a citability test: five of your category’s questions asked to ChatGPT, Perplexity and Google AI Overviews, answers archived, verification link included, a read of the causes on the message side and the surface side. You know where you stand, and why.
Fix
Message first: who you serve, what you do, what sets you apart, phrased for a hurried reader as much as for a machine. Structure next: extractable pages, questions and answers, quantified proof, markup. It is the core of our Message-Market Fit consulting.
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.
You do not need a GEO agency or a tracking tool 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.
Before hiring a GEO agency, check three points.
Does the reading separate a question with no answer from a question where you are not cited? Is the AI traffic reported verified against the address ranges the engines publish? Is the measurement repeated, given that answers vary from one day to the next?
No dashboard ever created a citation.
If your message is still vague, no service will make it citable, which is why Fast Growth Advisors starts with it.
What does the Message-Market Fit Observatory show?
We audit the public surfaces of French post-funding startups with a published methodology. Its result directly links clarity and citability:
Across the 83 detailed audits of French post-funding startups, 75.9% fall below the critical clarity threshold, set at 37.5 out of 75. They are largely the same ones AI engines never cite.
Source: Message-Market Fit Observatory, Fast Growth Advisors, 2026.
Three further figures from the same report set the scale. Average clarity score in 2026: 5.33 out of 10, barely half the potential. No audited startup goes above 8 out of 10, which means the top of the field does not exist yet in France. And readability by AI engines is the weakest of the fifteen sub-criteria measured, at 0.91 out of 5.
That leaves the question every funded executive asks. Does capital fix the problem over time? It does not. The correlation between the amount raised and message clarity is close to nil, R² = 0.036, which means raising 50 million rather than 5 does not make a message any clearer. That is good news for whoever decides to deal with it: the gap closes through work, not through funding.
These figures cover French post-funding startups. A UK edition of the Observatory is in preparation.
What the Observatory calls clarity has a name: Message-Market Fit. Fast Growth Advisors measures it on your own site with its messaging audit, using the same fifteen criteria.
For the full methodology: Explore the Observatory →
FAQ
What is GEO (Generative Engine Optimization)?
GEO is the set of practices that make a company visible and correctly cited in AI answers.
Engines concerned include ChatGPT, Perplexity and 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. Our diagnostic identifies the cause that affects you first.
Should you stop doing SEO to get cited by AI engines?
No, the two add up.
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 (Answer Engine Optimization) and LLMO (Large Language Model Optimization) name the same thing. 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.
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 Fast Growth Advisors method starts with the fast-impact fixes: message, structure, markup.
The six pages in this series
Each one carries dated Fast Growth Advisors measurements, with the link to run them again.
Google AI Overviews → The monthly barometer, forty B2B buying queries, what Google writes and whom it cites.
ChatGPT visibility → What the engine sees of your site, and why it only searches three times in ten.
Perplexity visibility → The engine that cites the most, its two crawlers, and what a citation returns.
Measure AI visibility → The method exactly as we apply it to our own site, instrument by instrument.
GEO vs SEO → What separates being ranked in a list from being cited in an answer, and what the two share.
GEO/AEO → Two names for one discipline, what each engine really does with your question, and what our audit measures.