What does AI search mean here?
Here, AI search means a search process that combines information retrieval with a generative model: it finds relevant material and uses it to produce a natural-language answer, often with source links.
This definition describes a process. It is not a tool ranking or a claim that every service implements the same retrieval and generation steps.
From policy documents to an answer
For a policy question, a system might find official announcements and explanatory pages, then summarize their conditions. Microsoft's source guidance describes generated search answers with links that readers can follow.
The exact behavior can differ by product, query and feature settings. Record those conditions when observing an answer rather than treating one display as universal behavior.
Finding a source is different from verifying a claim
A retrieved page may be wrong. A model can also omit a condition or misread a correct page. Source quality and faithfulness to the source are separate checks.
A citation marker provides a route to inspect the claim. It does not complete that inspection or establish that every statement in the answer has support.
Where do SEO and GEO fit?
SEO addresses foundations for pages to be accessed, understood and presented in search. GEO studies and evaluates visibility within generated answers.
For a before-and-after comparison, keep the questions, platform, model, dates and decision rules. One citation does not establish that a content edit worked. The AI visibility measurement guide develops the operational comparison, including denominators and missing results.
Sources and scope
- Microsoft Support: how Bing delivers search results
- Microsoft Support: information used to answer a Copilot prompt
- Aggarwal et al.: Generative Engine Optimization
Source-language entry records a source check on 2026-10-24. This adaptation preserves that provenance and does not represent a new audit of the cited pages.