What is answer engine optimization (AEO)?
AEO is the practice of structuring content so AI assistants and answer engines, such as Google AI Overviews, ChatGPT, Perplexity and Claude, can extract, trust and cite it. It combines direct answers under clear questions, structured data, strong authority and entity signals, and pages that crawlers can read quickly.
SEO vs AEO vs GEO: what is the difference?
The terms overlap, and in practice the work is the same foundation with different goals.
| Term | Goal | Where it shows up | Key tactics |
|---|---|---|---|
| SEO | Rank pages in search results | Blue links and rich results | Technical health, relevance, links, content quality |
| AEO | Be the direct answer | Featured snippets, voice and AI answers | Question headings, concise answers, structured data |
| GEO | Be cited inside generated answers | AI Overviews, ChatGPT, Perplexity, Claude | Authority, clarity, freshness, crawlability, brand mentions |
How AI answer engines choose sources
Answer engines retrieve passages that are relevant, easy to extract and come from sources they can trust. They tend to favor clear definitions, specific facts, consistent information across the web and content that is current. Nobody outside the platforms knows the exact weights, and they change, so treat any promise of guaranteed citations with suspicion. Google has said there is no special markup needed for AI Overviews: pages need to be indexed and eligible to appear with a snippet.
An 8-step AEO checklist
- Answer first: put a direct answer of 40 to 60 words right under a heading phrased as the question.
- Structure for scanning: use descriptive headings, short paragraphs, lists and comparison tables.
- Add structured data such as Article, FAQPage, Organization and Service, and keep it consistent with the visible text.
- Show real expertise: named authors or a clear company voice, original insight, first-hand experience and sources.
- Keep content fresh and show dates: update key pages and display the last-updated date.
- Make pages readable by crawlers: server-rendered HTML, fast loading and no accidental blocking in robots.txt.
- Build entity clarity: use the same name, description and details everywhere, and keep About and profile pages accurate.
- Earn mentions: reviews, directory listings, partnerships and coverage on reputable sites reinforce who you are.
Technical foundations
- Allow the crawlers you want to be cited by in robots.txt, such as OAI-SearchBot, PerplexityBot, ClaudeBot and Googlebot. Google-Extended and similar tokens control use for AI model training, not Search ranking.
- Publish an XML sitemap with accurate last-modified dates and use canonical URLs.
- Consider an llms.txt file, a proposed plain-text summary of your site for language models. Adoption is early and no major engine has confirmed it as a signal, but it is cheap and harmless.
- Keep pages fast and mobile-friendly (see our Core Web Vitals guide). Slow, broken pages are skipped.
What does not work
- Keyword stuffing and thin pages written only to catch queries.
- Mass-produced AI text with no original value.
- Fake reviews, fake FAQs or schema that describes content that is not on the page.
- Hidden text or tricks aimed at manipulating AI systems.
How to measure AEO
- Test your target questions monthly in the major assistants and note whether you are mentioned or cited.
- Check analytics for referral traffic from AI platforms.
- Watch branded search and Search Console impressions for question-style queries.
- Track which pages are cited, then improve the clearest answers first.
Key takeaway: AEO builds on SEO. If your site is slow, thin or untrusted, answer engines will not cite it however well it is formatted.
Frequently asked questions
Is AEO replacing SEO?
No. AEO builds on SEO. The same foundations of crawlability, relevance, quality and authority matter, with extra attention to direct answers, structure and entity clarity.
Can anyone guarantee inclusion in Google AI Overviews?
No. Google decides what to show. You can improve your eligibility and the quality of your answers, but any guarantee is a red flag.
What is llms.txt?
A proposed convention for a plain-text file at /llms.txt that summarizes a site and links to its key pages for language models. It is early, and not confirmed by major engines as a ranking or citation signal.
Does FAQ schema still help?
Google limited FAQ rich results to well-known authoritative government and health sites in 2023, but clearly structured questions and answers still help machines understand and extract your content.