GEO/AEO: two names, one discipline
Several acronyms describe the same thing, GEO/AEO chief among them: GEO (Generative Engine Optimization), named in 2023, AEO (Answer Engine Optimization), sometimes LLMO (Large Language Model Optimization). For Fast Growth Advisors, they are two names for one discipline: being the source an AI cites when it writes its answer. GEO has taken hold. What matters is not the acronym, but that the moment your buyer asks the engine, they land on you, because your message is clear and attributable.
The essentials
- •GEO/AEO: GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) name one discipline, being the source AI engines cite.
- •GEO has taken hold as the term; AEO and LLMO name the same thing.
- •Watch out: AEO also stands for Authorised Economic Operator (customs), unrelated. One more reason to say GEO.
- •Some draw a scope nuance, but with no stable taxonomy: the levers are the same.
- •What sets Fast Growth Advisors apart: first the message the engine can extract and trust, structure second.
Vocabulary
What are LLMO, GEO and AEO?
GEO/AEO is one shift under several names: engines no longer just rank pages, they write an answer and cite their sources. Fast Growth Advisors sums up the acronyms like this:
| Acronym | Full form | What it targets |
|---|---|---|
| SEO | Search Engine Optimization | Ranking in the list of results |
| GEO | Generative Engine Optimization | Being cited in the answer the AI writes |
| AEO | Answer Engine Optimization | The same goal: being the cited answer |
SEO remains the foundation. Above it, GEO is the AI layer, named in 2023, and for Fast Growth Advisors AEO names that same discipline.
One detail that matters: AEO is also the acronym for Authorised Economic Operator, a customs status with no connection here. One more reason to keep GEO as the primary term.
Should you separate GEO and AEO, then? Some propose a scope nuance: AEO would cover citation in extractive answers (AI Overviews, snippets, voice), GEO the recommendation inside generative prose. It is a defensible distinction, yet not a settled one: there is no common taxonomy, and the levers are the same on both sides.
We therefore treat them as one discipline, without turning it into dogma.
In plain terms, do not spend your energy arbitrating between two acronyms. Spend it framing a claim the engine can isolate, attribute and cite: that is where visibility is won, whatever name you give it.
Why it matters
What is GEO/AEO actually for?
An executive types into ChatGPT, “which tool for my problem?”. No list of ten links comes back: the engine writes three lines and cites two or three sources. Being one of those sources is the whole game.
Not being there means disappearing at the exact moment the buyer decides.
In concrete terms, the citation puts you in front of the buyer at the point of decision, before a shortlist even exists. Fast Growth Advisors treats this visibility as a commercial issue rather than a score, as part of its AI visibility offer. A B2B startup cited in the answer wins meetings it would never have earned on page two of Google.
Who gets cited, then? Two pages describe the same product. One says “the next-generation collaborative platform”. The other, “the software that replaces Excel for scheduling teams of more than 50 people”.
An engine cites the second, because it knows which question it answers. The first, it has no idea where to place.
A page becomes citable when the engine grasps its claim fast, far more than when it is the best marked up. Hence the Fast Growth Advisors difference: where others optimise the extraction of a sentence the market does not understand, we fix the sentence first, then the structure. See also GEO vs SEO for what separates ranking from citation.
That sentence is the machine side of Message-Market Fit. In the Fast Growth Advisors Observatory, readiness for AI engines is the weakest of fifteen criteria, at 0.91 out of 5, and the messaging audit measures all fifteen on your own site.
Engines compared
How do engines handle the same question?
One discipline, yes, but engines that do not handle the request the same way. Some query the web on every question, others answer mostly from memory; some fan the query out into several sub-queries, which Google calls “query fan-out” in its AI Mode announcement; and depending on the topic, the query may even be translated before it is sent.
Across the same set of 20 prompts measured by Fast Growth Advisors, the decision to search alone ranges from 30% to 100%.
| Engine | Queries the web | Queries fired | Query language | Index queried |
|---|---|---|---|---|
| Perplexity | Every time (100%) | Not exposed | Not measured | Its own |
| Claude | Often (85%) | 35 | French | Brave |
| Gemini | Sometimes (35%) | 15 | French | |
| ChatGPT | Rarely (30%) | 18 | English (tech topic) | Bing |
One measured example says it best. Given a French prompt asking which tools to compare for tracking a brand’s visibility on ChatGPT, Gemini and Perplexity, ChatGPT did not search that sentence: it fired an English query, “monitor brand mentions on ChatGPT tools”. Claude kept French, “outils suivi visibilité marque ChatGPT Gemini Perplexity”.
Same intent, two queries, two languages.
So the keyword that matters is the one the engine rewrites in your client’s place, not the one your client types. Read these as trends, not rankings: it is a first pass, and language depends heavily on the sector.
Sources
- Google, introducing AI Mode and the query fan-out technique, May 2025. blog.google
- Vercel and MERJ (an audience measurement firm), “The rise of the AI crawler”, December 2024, on JavaScript execution by AI crawlers. vercel.com
- Fast Growth Advisors measurements, August 2026: 20 prompts across four engines, plus tracking of twelve market questions.
Our measurement
What does Fast Growth Advisors measure, on its own visibility and in its audits?
Being cited stays rare, including for us. Across the twelve market questions Fast Growth Advisors tracks, Google cites the firm on only two: 12 citations out of 73 readings. We publish that figure because it shows the true size of the gap, and therefore the opportunity for whoever moves early.
Our Message-Market Fit Observatory, on a sample of 369 French post-funding startups, confirms the cause: readiness to be cited by AI engines ranks last among the criteria audited.
Why does a page stay invisible to an AI? For three distinct reasons, each fixed somewhere else: the crawler never gets the page, the text is not in the bytes returned, or the extractor throws away text it did receive. For agents, a fourth: hidden or folded text. Most audits stop at the first layer. The Fast Growth Advisors GEO audit measures all three, plus what your servers see, in 6 checks.
| What we measure | What it reveals |
|---|---|
| Real crawler access | Request sent from outside, with the target agent and no consent cookie. A test run from your own server bypasses the firewall and validates access that does not exist. |
| Text without JavaScript | Most AI crawlers do not execute JavaScript (Vercel and MERJ, 2024). Anything injected on load does not exist for them. |
| What the extractor keeps | Measured on three real extractors, not on the source code. The layer almost nobody looks at, and often the costliest. |
| Whether your proof survives | Pricing, client logos, reviews, comparison tables and key figures are counted separately. That is where the losses concentrate. |
| Text carried by images | In a recent audit, seven client names out of eight existed only inside image attributes: invisible, and replaced in the engine’s reading by former employers. |
| Crawler hits in your logs | Which bots actually come to read, identity verified, not just declared, and how many land on errors. |
What comes out is a location rather than a score out of a hundred: which sentence is lost, at which layer, and which fix brings it back.
Most often the engine can say what the company does, but not what sets it apart, because the proof sits in a carousel or an image. So it cites the competitor who put its proof in text. Hence the Fast Growth Advisors order: the message first, then extractability.
FAQ
Frequently asked questions
GEO and AEO, are they the same thing?
In practice, yes.
GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) name the same discipline: being the source an AI cites in its answer, rather than one link among ten. GEO has taken hold in common usage, probably because it was named first. Some draw a scope nuance, but there is no stable taxonomy yet: at Fast Growth Advisors, we treat them as one and the same discipline.
Doesn’t AEO mean something else?
It does, and that is a trap.
AEO also stands for Authorised Economic Operator, a customs status with no connection to AI visibility. That is one more reason to use GEO as the primary term. What matters is not the acronym but the outcome: being the answer the engine gives your buyer.
Where should you start to get cited?
With the message.
A clear, attributable sentence gets cited more often than a vague phrase, even a perfectly marked-up one. Technical structure comes next. It is also the most profitable order: a message your prospects understand lifts your conversion long before any AI-visibility gain.