The short answer

Structured data can describe supported facts on a page, but it must match the visible content. Google states that no special schema is required for its AI search features. Choose relevant markup for the page and validate it; do not treat the presence of FAQ schema as a recommendation score.

Describe the page that readers can see

Choose types that match the actual page, publisher and content. If you mark up a question and answer, keep the answer consistent with the visible text. Structured claims should not add credentials, results or offers that the page cannot support.

Keep implementation and outcomes separate

Validate the syntax and any feature-specific requirements. Then inspect the live page to confirm the intended markup was published. That is a technical acceptance check.

Report citations from actual response observations. A successful structured-data validation is not a citation, an endorsement or proof that the page is eligible for every rich result. Google does not prescribe special markup for its generative search features.

What to check

  1. Select structured data that accurately describes the real page and its publisher.
  2. Compare every marked-up claim with the visible text, including question-and-answer content.
  3. Validate syntax and relevant requirements, then measure citations independently of markup installation.

A practical example

Adding question-and-answer markup to an accurate FAQ can describe its contents. It is not a purchase of AI placement and should not be reported as a visibility result.

Sources and further reading

These steps are Arrow AI's implementation guidance. The example is illustrative; it is not a measured customer result. Publication and source access do not guarantee an AI recommendation.

Apply this to your website

Identify the source gaps and decide what to improve with Arrow's free audit. Review what Arrow GEO measures before choosing a reporting scope.