What is AEO? Answer engine optimization explained
guide // , 5 min read, by Darthwares
Answer engine optimization (AEO) is the practice of making a web page easy for AI answer engines, such as Google AI Overviews, ChatGPT Search and Perplexity, to find, read and quote as a source. In practice it is content optimization for a new kind of reader. It is not a replacement for SEO. A page has to be crawlable and indexed first; AEO is about what happens next, when a system looks for a passage it can lift into an answer and link back to.
On this page // 4 sections
What is the difference between AEO and SEO?
Classic SEO aims at a ranked list of links: the goal is a high position for a query, and the searcher clicks through. An answer engine writes a response and attaches a handful of sources. The unit that matters is smaller than a page. It is a passage that states something clearly enough to be quoted without the paragraphs around it.
The two overlap far more than they differ. Google describes its AI features as built on Search: a page must be indexed and eligible to be shown with a snippet, and Google says there are no additional technical requirements. Work that helps a page rank, such as clear titles, useful content and crawlable links, is also the foundation for being cited.
What do Google and OpenAI require for AEO?
Google states that there are no special optimizations necessary for AI Overviews or AI Mode, and that you do not need new machine-readable files, AI text files or special structured data to appear in them. Its advice is the familiar list: allow crawling, make pages discoverable through internal links, put important content in text, and keep structured data consistent with what is visible on the page.
OpenAI runs a separate crawler for search. OAI-SearchBot is used to surface websites in ChatGPT's search features, and it obeys robots.txt. If that crawler is blocked, the site should not expect to appear there. Perplexity describes PerplexityBot the same way: it surfaces and links websites in Perplexity's results. In each case, access is a condition for being cited, not a guarantee of it.
What makes a page likely to be cited by AI?
No platform publishes a formula for which passages get cited. What follows is our working rubric, the one dotmap scores against, and it is an editorial judgment, not a documented ranking factor.
- Answer the question in the first sentences, then elaborate. A reader, or a model, should not have to scroll for the point.
- Write passages that stand alone. A paragraph that depends on "as mentioned above" cannot be lifted cleanly.
- Use headings that say what the section answers, not clever labels.
- State facts specifically: numbers, names, dates and conditions, with a source where one exists.
- Keep the title and the content in agreement, so the page is about what it claims to be about.
How do you measure AEO?
There are two different things to measure. The first is readiness: is each page written and built so that it could be cited? That is an audit question, and it can be answered for every URL on a site today. The second is outcome: did an answer engine actually mention or link you for a given prompt? That needs prompt monitoring over time, because answers vary by wording, location and date.
Google reports traffic from AI features inside the normal Search Console Performance report, within the Web search type, so it is not broken out separately. dotmap covers the readiness side: it crawls a site and estimates, per page, how directly the page answers its implied question and whether a self-contained passage could be quoted. Those are estimates of page quality, not measurements of citations.
Primary sources and further reading
Prepared with AI-assisted drafting and checked against the primary sources below. These sources support the platform and measurement claims; the examples and recommendations are dotmap analysis, not results reported by the sources.