Answer engine optimisation (AEO)
Answer Engine Optimisation (AEO) is the practice of making a brand’s content, entity data and technical signals easy for AI answer engines to find, trust and cite in their responses.
Answer engine optimisation is the discipline of preparing a brand so that AI answer engines can find it, trust it and cite it. It works on three layers: the content itself, the structured entity data that describes the brand, and the technical signals that let engines access and parse a site.
It differs from search engine optimisation in its goal. SEO aims to rank a page in a list of results. AEO aims to make a brand citable inside a synthesised answer, which depends less on ranking position and more on clarity, accuracy and machine-readability.
Two components matter most. Content accuracy ensures that what an engine reads about the brand is correct and current. Entity clarity ensures the engine can tell what the brand is, what it does and who stands behind it, through consistent naming, schema and an llms.txt file.
AEO covers the full set of answer engines, including AI Overviews and AI features inside traditional search, not only standalone generative chat platforms.
What it looks like in practice.
A company with accurate, well-structured product pages, a clean schema definition and an llms.txt that states its facts plainly is easier for an answer engine to cite than a competitor with the same products but thin, inconsistent or unstructured information.
How Zicy measures it.
Zicy supports AEO end to end: it audits technical readiness, diagnoses what to fix, and generates schema, llms.txt and citation-ready content in the Action Center.
Keep reading.
Questions about Answer engine optimisation (AEO).
What is answer engine optimisation?
Answer Engine Optimisation (AEO) is the practice of making a brand’s content, entity data and technical signals easy for AI answer engines to find, trust and cite in their responses.
How is AEO different from SEO?
SEO optimises a page to rank in a list of links. AEO optimises a brand’s content, entity data and technical signals so an answer engine can cite it inside a synthesised answer. The goal is citability, not ranking position.
What are the main components of AEO?
The two that matter most are content accuracy, making sure what engines read is correct and current, and entity clarity, making sure engines can identify what the brand is through consistent naming, schema and an llms.txt file.
Is AEO the same as GEO?
They overlap. GEO focuses specifically on generative AI platforms such as ChatGPT, Gemini and Perplexity, while AEO covers the broader set of answer engines, including AI features inside traditional search.
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