AEO (Answer Engine Optimization) means structuring your content so that ChatGPT, Perplexity, Gemini or Google AI Overviews cite it as a source when they answer a question. Ranking third on Google is no longer enough: if the answer is given inside the interface itself, whoever isn’t cited doesn’t exist.
Why AEO is no longer optional
The change in behaviour is measurable. According to LLMrefs, around 60% of Google searches already end without a click, and visitors arriving from AI search engines convert 4.4 times better than classic organic traffic. These figures come from an industry vendor, so treat them as an order of magnitude rather than an exact number. The direction, however, is clear: fewer clicks, but better qualified.
AEO vs SEO: what changes and what stays
AEO doesn’t replace SEO: it extends it. The technical and authority foundations are the same, but the format you’re expected to deliver information in changes, and so does the metric you use to measure it.
| Classic SEO | AEO | |
|---|---|---|
| Goal | Appear in the results list | Be cited inside the answer |
| Unit of work | Keyword and page | Question and answer snippet |
| Winning format | Long optimised article | Direct answer up top + detail below |
| Main metric | Ranking and clicks | Citations, mentions and share of voice |
| Stays the same | Crawling, speed, links, E-E-A-T | Crawling, speed, links, E-E-A-T |
The practical consequence is that dropping SEO to «do only AEO» is one of the most common mistakes: some answer engines rely on Google’s index, so what ranks in search still feeds AI citations.
How answer engines choose their sources
With some nuances, they all follow a three-step process: they interpret the question, look for retrievable content and write an answer citing what they found. This technique is known as RAG (retrieval-augmented generation).
The most overlooked detail is query fan-out: faced with a long question, the AI splits it into several short searches and runs each one separately. Your page isn’t only competing for the full question, but for those sub-queries.
Sources also vary by platform, according to LLMrefs: ChatGPT relies on web search results, Perplexity crawls with its own bot (PerplexityBot) and Google AI Overviews draws on its index. They also frequently cite platforms like Reddit, YouTube and review sites, so your reputation outside your website weighs almost as much as what you publish on it.
A practical strategy in 7 steps
- Let the crawlers in. Check
robots.txtand your CDN settings: many block AI bots like OAI-SearchBot or PerplexityBot by default, and it’s the most common failure. - Answer first, explain after. Put the direct answer in the first 30-60 words of each page and expand below.
- Write around questions. Use your customers’ real questions as headings («how much does… cost?», «how do I choose…?») and also cover the sub-queries the AI derives from them.
- Structure for extraction. Clear H1-H3 hierarchy, 2-3 sentence paragraphs, lists, tables and numbered steps.
- Add structured data. Implement FAQPage, HowTo, Article and Organization schema, and sign every article with an author with visible credentials.
- Bring concrete data and sources. Figures, examples and links to the source: vague content almost never gets cited.
- Keep content fresh and build external presence. Update your key pages every quarter and work on reviews, Reddit, YouTube and directories, which AI cites often.
If you only have time for two actions this week, do 1 and 2: unblocking crawlers and rewriting the opening of your 10 most important pages usually gives the best return.
How to measure your AI visibility
Traditional analytics see little of this channel, because much of it happens without a click. What’s worth tracking is share of voice (how many answers you appear in versus your competitors), citation frequency and which pages get cited, how accurately the AI describes your brand, and the referral traffic arriving from these platforms.
A free, manual way to start: once a month, run 15 to 20 questions relevant to your business in ChatGPT, Perplexity and Google, and note whether you appear, which sources are cited and whether the description is right. When you want to automate it, there are dedicated AEO tracking tools, including options inside marketing platforms like HubSpot.
Common mistakes and where to start
The most repeated mistakes are blocking AI bots without realising, burying the answer behind paragraphs of introduction, publishing vague information with no figures or examples, hiding content behind JavaScript that crawlers don’t run, and dropping SEO in the belief that AEO replaces it.
AEO rewards what good content marketing has always rewarded: clarity, authority and real usefulness, delivered in a way a machine can cite. Start this week by unblocking crawlers, rewriting the opening of your key pages and running your first 15-question audit in ChatGPT, Perplexity and Google. In a month you’ll have a baseline and know where to act first.
Sources
- Answer Engine Optimization (AEO): The 2026 Guide – LLMrefs. Figures from this source come from an industry vendor and are cited as an order of magnitude.
