What AEO is
AEO — Answer Engine Optimization — is the discipline of optimizing content so that an answer engine extracts a direct answer from it and attributes that answer to your site. The answer engine does not return ten links: it formulates an answer, and cites a few sources.
This shift changes the target. In classic search, you optimize a page so that it climbs in a list. In AEO, you optimize a passage so that it is selected as the best answer to a question. The engines involved are Google's AI Overviews, ChatGPT Search, Perplexity, voice assistants and any system that synthesizes an answer rather than displaying results.
The stakes have become structural: more than 50% of Google queries now trigger an AI Overview. On those queries, attention concentrates on the synthesized answer, not on the blue list. Not being in the answer means disappearing from the user's field of view, even when you rank well. AEO addresses exactly this point: being the source the engine cites when it answers. This is the heart of our Answer Engine Optimization offering.
AEO does not optimize a page for a ranking, but a passage for an answer. The question is no longer "am I in the top 10?" but "am I the source the engine cites when it answers this question?".
AEO, SEO and GEO: the differences
These three disciplines share a common foundation but target distinct outcomes. SEO ranks pages. AEO gets answers extracted. GEO, which is broader, builds a brand's presence within generative models, citations included.
Concretely, SEO optimizes for the click to your page. AEO optimizes for the citation within an answer, often without a click. GEO — Generative Engine Optimization — encompasses AEO but adds entity work, off-site mentions and presence within the model's knowledge. AEO is therefore the "direct answer" subset of GEO.
| Criterion | SEO | AEO |
|---|---|---|
| Objective | Rank a page | Get an answer extracted |
| Optimized unit | The whole page | The citable passage |
| Target result | The click | The citation, often without a click |
| Surface | List of results | Synthesized answer |
| Measurement | SERP position, traffic | Citation frequency |
The overlap remains real. In AI Overviews, 92% of citations come from the organic top 10 — but 47% come from positions 5 to 10, positions that capture few clicks in classic SEO. In other words, a good ranking helps without being enough: the structure of the answer makes the difference. For the broader generative framework, see our GEO Guide for France.
The technical levers of AEO
AEO starts with accessibility: if the engine cannot read your answer, no editorial work will make up for it. Three technical levers form the non-negotiable foundation.
Answer engines do not execute JavaScript. They retrieve the raw HTML as it is served. If your answer only appears after client-side hydration, it is invisible. Serve content via SSR or static HTML, and verify with a curl that the answer text is indeed present.
FAQPage is the signal most heavily used by AI Overviews: it explicitly describes a question and its answer, ready to be reused. Pair it with Article and Person schema to establish the content's freshness, author and authority. This JSON-LD markup gives the engine a structured context it does not have to guess.
Structure content with a single H1, H2s that pose users' real questions, and H3s that go into detail. This hierarchy helps the engine isolate the passage that answers a query. A question in an H2 followed by a direct answer is the most extractable form.
Allow the bots that feed answers — OAI-SearchBot, PerplexityBot, Google-Extended depending on your choices. Blocking them amounts to voluntarily removing yourself from AI answers. Always distinguish search crawlers, which cite, from training crawlers, which you can restrict.
These levers extend further as engines become agents that browse and act. To anticipate this stage, read optimizing your site for AI agents.
Structuring content for the answer
Citable content is written by passages, not by pages. The engine extracts blocks of text that answer a question on their own: each section must be self-sufficient.
Length matters. The optimal citable passage runs between 134 and 167 words — enough to answer completely, short enough to be extracted as a block. Beyond that, the engine truncates; below it, the answer lacks substance. Each section therefore opens with the direct answer in one or two sentences, then develops it.
Name the entities, date the content
Models reason through entities — brands, people, products, places — and their relationships. Name them explicitly rather than with pronouns: "LUWIZ, AEO agency in Albi" is more extractable than "our firm." Also display a publication date and an update date, both in the text and in the schema: answer engines favor recent content and recrawl updated pages more often.
Answer the question, not the keyword
Keyword stuffing harms extraction. Answer engines select clear, natural passages, not saturated lexical fields. Write the answer an expert would give out loud, then structure it. This logic extends to commerce, where agents compare and recommend products: see our analysis of agentic commerce.
Wikipedia alone concentrates 47.9% of ChatGPT's citations. Off-site brand mentions — Reddit, YouTube, Wikipedia — correlate far more strongly with AI citations (0.737 for YouTube) than Domain Rating (0.266), according to the Ahrefs analysis of 200,000 domains from December 2025.
Measuring your AEO results
You can only steer what you measure, and classic SEO tools do not capture AI answers. Search Console and SEMrush see positions, not citations within a synthesized answer. AEO calls for dedicated measurement.
The basic method is manual: test your target queries in AI Overviews, ChatGPT and Perplexity, and note week after week whether your brand is cited, on which questions, and with what sentiment. This citation frequency is to AEO what SERP position is to SEO. Also track how often your passage appears in AI Overviews on your priority queries.
One important signal: only 11% of domains are cited by both ChatGPT and AI Overviews. Sources diverge sharply from one engine to another. So measure per engine, not globally, and direct your efforts according to where your audience asks its questions. As the volume of tracked queries grows, manual tracking reaches its limits and tooling becomes necessary to automate and archive these readings.
Conclusion
AEO is not a fad: it is the direct consequence of a web where the answer replaces the list of links. Optimizing for answer engines rests on three solid pillars — content accessible without JavaScript, self-sufficient passages of 134 to 167 words, and markup that explicitly describes the questions addressed. The window is open because most sites still optimize only for ranking. Those who structure their answers now will become the sources that engines cite tomorrow.
We audit your citable passages, your schema markup and your current citations in AI Overviews, ChatGPT and Perplexity for free — results within 24 hours, with our AEO support if you want to go further.
Questions fréquentes
What is the difference between AEO and SEO?+
SEO aims to rank a page within a list of results. AEO aims to get a direct answer extracted by an answer engine and attributed to your site. SEO optimizes for the click; AEO optimizes for the citation, often without a click. Both share the technical foundation and authority, but diverge on content structure.
Is FAQPage schema useful for AEO?+
Yes, it is one of the most heavily used signals. FAQPage explicitly describes a question and its answer, which AI Overviews and answer engines reuse directly. Paired with Article and Person schema, it establishes the content's context, author and freshness.
Do you need SSR to do AEO?+
It is essential. Answer engines and AI crawlers do not execute JavaScript: they read the raw HTML. Content rendered only on the client side is invisible. Server-side rendering or static HTML guarantees that your answer is readable and therefore extractable.
How do you measure your AEO results?+
Classic SEO tools do not capture AI answers. Manually track your target queries in AI Overviews, ChatGPT and Perplexity, and note whether your brand is cited, on which questions and with what sentiment. This citation frequency is the AEO equivalent of SERP position.
