Schema markup for AI search: describe the page you actually show.
Schema markup gives machines an explicit description of visible page content, such as its article author, modified date, questions and breadcrumb path. It can support understanding and search features, but Google does not require special schema for AI Overviews or AI Mode and markup does not guarantee inclusion.
Researched and reviewed by Eli · 9 August 2026
The question this page answers
Use schema markup on AI search content
Choose types that match the visible page
Use Article or BlogPosting for editorial resources, FAQPage only when the questions and answers are visible, BreadcrumbList for the real navigation path and Product when the page contains accurate product information. Do not add review or rating data that users cannot see and verify.
Keep identifiers and dates consistent
Use the canonical URL for mainEntityOfPage and stable organization identifiers for the author and publisher. Reflect the genuine publication and modified dates. Generate JSON-LD safely, test valid syntax and ensure metadata, schema and visible headings describe the same page.
- Canonical @id
- Visible author
- True modified date
- Matching FAQ content
Treat schema as one technical layer
Structured data cannot rescue thin, duplicated or inaccessible content. Pair it with crawlable HTML, useful answers, source links and internal navigation. Monitor validation errors after templates change, and remove markup that no longer matches what the reader sees.
Questions buyers ask next
Does FAQ schema guarantee a rich result?
No. Eligibility and display are controlled by the search engine and can vary by query and site.
Is there special AEO or GEO schema?
No broadly required special type exists. Use accurate established schema that matches the content.
Should dates be updated automatically?
Only when the content was genuinely published or materially reviewed, not on every build.
Primary sources
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