In short. Answer engine optimization prepares and maintains content for use in answers through clear information, accessible pages, and consistent data.

Definition: Answer engine optimization (AEO) is the practice of preparing and maintaining content so that answer engines can find, understand, and use it to respond to questions. An answer engine supplies an answer to a question, as illustrated by the AI assistants discussed in Microsoft Advertising's AEO guide.

Key facts

As of 17 October 2026, Google's AI features documentation says established search engine optimization (SEO) practices apply to AI Overviews and AI Mode.
Google requires a page to be indexed and eligible for a search snippet before it can appear as a supporting link in those features.
Microsoft Advertising recommends consistency between product feeds, page markup, and customer-visible information.
Google's featured snippet documentation assigns selection to Google's systems, which assess a page against the search request.

How does AEO relate to SEO?

SEO concerns making website content accessible and understandable to search engines. Google's AI features guide applies the same foundations to its AI search features: accessible crawling, internal links, and important information available as text. It requires no special AI markup.

Microsoft Advertising's guide defines AEO around helping AI assistants find and present answers. This frames the work around the information an assistant can access and use.

What does AEO change for website content?

Microsoft's retail guidance recommends keeping prices and inventory synchronized between product feeds and on-page structured data. Structured data is machine-readable information describing page entities and their attributes. Microsoft also recommends consistency between those records and the information customers see.

This gives an AEO review a concrete task: compare the product feed, the page's structured data, and its visible price and availability. Selection remains with the answer engine, as Google's featured snippet guidance illustrates.

Which page controls need checking?

A snippet is a search result's descriptive extract. A featured snippet presents that extract ahead of the rest of the result, according to Google.

Google's robots meta tag specification documents page-level rules placed in the HTML head. For example, this tag blocks text snippets and video previews:

<meta name="robots" content="nosnippet">

The same rule prevents page content from serving as direct input to AI Overviews and AI Mode. Checking whether this restriction is intentional is a practical part of reviewing a page's availability for answers. Google says crawlers must be allowed to access the page to read and follow these settings.

FAQ

Can you mark a page as a featured snippet?

Google says its systems choose suitable pages for each search request. Adding a designation to a page does not select it for that format.

Do you need special structured data for Google's AI answers?

Google's AI features documentation says special structured data is unnecessary. Any structured data you provide should agree with the page's visible content.

Sources

Check how a page reads to answer engines. Open the GEO score analyzer