What is AEO (Answer Engine Optimization)?

What is AEO

AEO (Answer Engine Optimization), also called GEO (Generative Engine Optimization), is the set of techniques that aim to get a business cited in the answers generated by AI engines (ChatGPT, Perplexity, Claude, Google AI Overviews) when a user asks a question. Where classic SEO seeks to make your site appear in Google's list of blue links, AEO seeks to make your name, your brand or your content appear in the body of the answer the model writes. The difference is concrete: on a query like "which agency to do X", SEO places you among ten links the user chooses from, AEO places you in the sentence the AI writes in response. The three levers of AEO are content structured as a direct answer (answer-first), Schema.org markup readable by the machine, and external authority built from the third-party mentions that talk about you. None of these techniques guarantees a citation: AEO works on the probability of being named, and measures it over time.

Why AEO is becoming a topic now

AEO matters today because search habits are shifting toward conversational interfaces. A growing share of people no longer type a query into a Google bar to browse links: they ask a complete question to an assistant and read the written answer. This shift is no longer marginal. Google has rolled out its AI Overviews, those generated summaries at the top of results, across a now majority share of searches: the trend observed in 2025 and 2026 is their presence on more than half of searches, which we present as an observed trajectory and not as a fixed percentage.

The consequence for a business is direct. If your clients ask their question to an AI and the answer cites a comparison site, a directory or a competitor without naming you, you become invisible at the exact moment of decision, even if your site ranks well on Google. Gartner popularised the idea of an erosion of traditional search, projecting a drop of about 25 % in classic search volume expected by the end of 2026, in favour of AI assistants and conversational agents. We cite this figure attributing it to Gartner, as a projection and not as an established fact. The underlying signal remains the same: the window where you optimised only for the Google click is closing, and a new visibility surface is opening in the generated answer.

How AEO works: the three pillars

AEO rests on three complementary pillars that act together on the probability of being cited. Working only one of the three plateaus quickly, because engines cross several signals before retaining a source.

• ·Structured answer-first content. The model extracts a clear, self-contained answer placed at the head of a section more easily than a paragraph buried in an introduction. Each page answers a real question, with a direct answer in one or two sentences, then the development. On Perplexity, this direct-answer structure is one of the most decisive citation factors.
• ·Schema.org markup. JSON-LD structured data (notably the Article and FAQPage types) gives the machine an explicit reading of your questions and answers. On Perplexity, the presence of schema.org JSON-LD is associated with a markedly higher top 3 citation rate. Schema does not create authority, but it makes your content readable and reusable by the engine.
• ·External authority and third-party mentions. This is the most underestimated pillar. A study published on arXiv in 2025 (reference 2509.08919) measures that between 73 % and 92 % of AI answer engine citations come from third-party sources (press, directories, comparison sites, communities), not from the brand's site. In other words, what others write about you often weighs more than what you write about yourself. We detail this mechanism in our analysis of the sources ChatGPT cites.

These three pillars sit on a common base with classic search: a technically clean, indexable and authoritative site. That is why AEO does not replace SEO, it adds on top. We explain precisely what overlaps and what differs in our comparison AEO or SEO.

AEO, GEO or AIO: do you have to pick a term?

These three acronyms designate in practice the same discipline, seen from slightly different angles. AEO (Answer Engine Optimization) emphasises the answer generated by an engine. GEO (Generative Engine Optimization) emphasises the generative nature of the engine. AIO (AI Optimization) is a broader phrasing sometimes used. The vocabulary is not yet stabilised in the French-speaking market, and you will come across all three terms from different players.

At NovAI, we use AEO. This choice emphasises what really matters for a business: being present in the answer at the moment a client asks their question. The exact term matters less than the reality it covers. Optimising for answer engines means structuring your content so a model can extract it, marking it up so it can read it, and building the external authority that makes it credible in its eyes. Whether you call it AEO, GEO or AIO, the work remains the same.

What AEO does not promise

AEO works on the probability of being cited, measured over time, never a guaranteed position. This is an essential nuance and we own it. No one outside the model publishers controls the final output of an LLM. Engine answers are non-deterministic: on the same query, the result varies by session, account, geographic zone and date. You can be cited one day and absent the next on the same question, without having changed anything. The available citation figures are averages that vary by engine, sector and query.

What we do is therefore to methodically lay the signals the data identifies as decisive, then measure your citation frequency every month, with dated screenshots. It is a documented probability improvement, not a sold certainty. Any promise of a "number one ChatGPT position" or "guaranteed citation" would be dishonest. To know where you stand today on these signals, our AI visibility diagnosis measures your situation for free.

Frequently asked questions

Are AEO and GEO the same thing?

Yes, in practice. AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) designate the same discipline: optimising to be cited in the answers generated by AI engines like ChatGPT, Perplexity, Claude and Google AI Overviews. AEO emphasises the answer, GEO the generative nature of the engine. The vocabulary of the French-speaking market is not stabilised and you will come across both terms, sometimes AIO too. NovAI uses AEO. The concrete work remains identical: answer-first content, schema markup, external authority.

Is AEO just SEO?

AEO shares a large foundation with SEO but does not reduce to it. Both disciplines rest on useful content, clean technique and perceived authority. Google states moreover that for its AI Overviews, the best practices remain those of classic search. But AEO adds its own calibration: answer-first format, schema markup, and a much heavier weight of external authority (73 to 92 % of AI citations come from third-party sources, according to arXiv 2509.08919, 2025). AEO does not replace SEO, it stacks on top of it.

Which businesses need AEO?

Businesses whose clients ask questions to an AI before deciding, and that already have a web footprint on which optimisation bites. Concretely, as soon as your prospects phrase queries like "which solution for X" or "best company for Y" to ChatGPT or Perplexity, your absence from the answer costs you visibility at the moment of decision. AEO is less relevant for an activity without prior online search or without any existing web presence, because it relies on signals to optimise.

Does AEO guarantee being cited?

No, and any promise of a guaranteed citation would be dishonest. No one outside the model publishers controls the final output of an LLM, and the answers are non-deterministic: they vary by session, account, zone and date. AEO works on the probability of being cited by laying the signals the data identifies as decisive (answer-first, schema, external authority), then measures this probability over time with dated screenshots. It is a documented improvement, not a guaranteed position.