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What is Answer Engine Optimisation (AEO) and how is it different from SEO?
Answer Engine Optimisation (AEO) is the practice of structuring content, schema markup and online entity data so AI-powered search engines such as ChatGPT, Perplexity, Google AI Overviews and Gemini can extract your content and cite it as a source in their answers.
It is not a replacement for SEO. It is a second layer on top of it.
How is AEO different from SEO?
Traditional SEO is about ranking in the links below a search bar. AEO is about appearing in the AI-generated answer above those links, sometimes replacing them entirely.
SEO weights backlinks, domain authority, keyword placement and page experience. AEO also weights schema markup, direct-answer structure, entity corroboration and citation worthiness. A strong AEO page answers the question early, uses clear headings, identifies its author and explains its scope.
Why does the structure of your content matter so much?
AI engines extract blocks of text based on signals such as HTML heading tags, paragraph position and schema. A page that states its key point in sentence one is easier to retrieve than a page that buries the answer in its third section.
This is answer-first or inverted-pyramid writing. It is concise for readers and technically legible for retrieval systems.
What types of content get cited in AI answers?
The formats most useful for answer extraction are:
Direct definition paragraphs - "X is Y. It does Z."
Numbered step lists - ordered steps have clear extraction boundaries.
FAQ sections - question and answer pairs map directly to user prompts.
Comparison content - "X versus Y" pages answer evaluation queries.
Statistics with sources - cited figures are more trustworthy than unsupported claims.
Does your website already do AEO?
Many websites have traditional SEO but lack the layer that helps AI engines interpret and cite them. Common gaps include no BlogPosting schema, no SpeakableSpecification, no direct answer in the opening paragraph, no FAQ section and no llms.txt file.
These are technical and editorial improvements. They do not require a full website rebuild.
What is the relationship between AEO and entity building?
Entity building is the off-site component of AEO. AI engines synthesise information from many sources. When LinkedIn, directories, press coverage and the company website agree on the same description, an engine has stronger evidence for identifying and recommending the brand.
AEO therefore has two components: on-site structure, schema and content, plus off-site entity presence and corroboration.
How do you measure AEO performance?
Unlike SEO, AEO has no single native dashboard. Measurement combines manual prompt testing, automated prompt tracking through available APIs and citation monitoring to record whether a brand appears and which pages are referenced.
Frequently asked questions
What is Answer Engine Optimisation?
Answer Engine Optimisation (AEO) is the practice of structuring content, schema and entity data so that AI-powered search engines like ChatGPT, Perplexity, Google AI Overviews and Gemini can extract, cite and recommend your content in response to user questions.
How is AEO different from SEO?
Traditional SEO targets the ten blue links on a search results page. AEO targets the AI-generated answer that now appears above those links. AEO weights schema markup, direct-answer paragraph structure, entity corroboration and third-party citations, while SEO weights backlinks, domain authority and keyword placement.
Does AEO replace SEO?
No. AEO and SEO work in parallel. A page needs to rank in traditional search before most AI engines will retrieve it. AEO adds a second layer that determines whether the page gets cited in the AI answer.
What types of content perform best in AI answers?
Content with a clear, direct answer in the first paragraph performs best. Question-formatted headings, numbered steps, definition blocks and FAQ sections are easy for answer engines to extract.
How long does it take for AEO changes to show results?
Structured data and on-page changes are indexed within days to weeks. Appearing in AI answers from external queries typically takes a few months because AI engines require corroboration from multiple sources.
