Answer engine optimisation (AEO) is the practice of making accurate, useful information easy for search and AI systems to identify, retrieve and present as an answer. It combines technical access, clear answer-focused writing, credible evidence, structured information and honest measurement. AEO does not provide a guaranteed route into an AI answer or citation.
This page is the concise starting point. For the detailed methodology, examples and implementation guidance, read the complete AEO guide.
What AEO is trying to improve
A useful AEO programme improves the conditions a page must satisfy before it can support an answer:
- Discovery: the system can find and access the preferred URL.
- Understanding: the page makes its topic, entities, claims and relationships clear.
- Retrieval: a relevant section matches the question closely enough to be selected.
- Trust: the answer is supported by evidence, transparent authorship and appropriate sources.
- Usefulness: the passage helps a person understand, compare or act.
Providers do not disclose one universal formula for these stages. Treat them as a publishing framework, not as confirmed ranking factors.
How AEO relates to SEO
SEO helps search engines understand content and helps people discover a site through search. AEO builds on that foundation with more attention to direct answers, passage-level clarity, citations and answer-led interfaces. Crawlability, indexability, canonical URLs, internal links, mobile usability and original content matter to both.
Google says that its established SEO guidance remains relevant to AI Overviews and AI Mode, with no special markup required. It also notes that eligibility does not guarantee crawling, indexing or inclusion. See Google Search Central’s current AI features documentation.
What good AEO content looks like
- A direct answer appears near the start when the intent calls for one.
- Headings describe real questions or decisions instead of repeating keywords.
- Claims are linked to primary sources and dated where recency matters.
- Original data includes a method, sample and limitations.
- Authors and reviewers are identifiable and relevant to the subject.
- Examples show how the advice works in practice.
- Important text is visible and usable on mobile devices.
- Structured data accurately matches the visible page.
A simple AEO process
- Select a genuine audience question. Use customer language, support data, search queries and practitioner knowledge.
- Audit the current result. Identify what existing sources explain well and what remains unsupported, outdated or unclear.
- Create a source-worthy contribution. Add evidence, a transparent method, a useful framework or first-hand experience.
- Structure the answer. Lead with the conclusion, then add conditions, evidence, examples and exceptions.
- Check technical access. Review rendering, robots controls, canonicalisation, internal links and mobile layout.
- Publish and connect. Link the page into a coherent topic cluster rather than leaving it isolated.
- Measure carefully. Track organic discovery, citations, qualified visits and conversions using a repeatable method.
What AEO is not
- It is not a way to guarantee a ChatGPT, Perplexity or Google citation.
- It is not a replacement for technical SEO or useful original content.
- It is not adding FAQ schema to every page.
- It is not repeating the same short definition across many URLs.
- It is not measuring success from a single screenshot.
How to measure AEO
No single metric provides a complete view. Use a small measurement stack:
- Search Console: impressions, queries, pages and clicks from Google Search.
- Analytics: referral sources, engaged sessions, conversions and assisted journeys.
- Prompt observations: a fixed, representative question set tested on a recorded schedule.
- Citation log: product, prompt, date, cited URL and observed answer position.
- Change log: what changed on the page and when.
Where to start
Begin with one valuable question and one existing page. Run the AEO content audit, compare AEO and SEO, and use the GEO checklist for the technical, editorial and measurement review. Improve the page, record the change and wait for enough evidence before drawing a conclusion.