Schema Markup for AI Search
Schema markup helps AI search by stating facts unambiguously and carrying entity identifiers, and one rule governs all of it: every value marked up must also appear as readable text on the page. Models extract from rendered text, so a price or rating living only in JSON-LD is invisible to the system meant to quote it. This page gives the types, the omitted properties and the current rich-result status.
Three prerequisites come before any block on this page, and the first of the three is the rule everything else rests on.
- Writethe value as readable body text, then mark it up. Extraction runs on rendered text.
- Servethe markup inside the HTML response, with no client-side script assembling it. AI crawlers largely do not execute JavaScript.
- Matchevery marked-up string to a visible instance, byte for byte. A markup value contradicting the page is a defect, not a signal.
Questions
Common questions
Every answer below ships in the raw HTML, so an assistant reading this page without running a script still receives it.
Does adding schema markup get a page cited in an AI answer?
No. Google states that structured data is not required for generative AI search. Markup states facts in one form and carries identifiers; retrieval selects the passage. Extraction runs on rendered text, which is the work in structuring content so machines can quote it.
Does removing FAQPage markup help now that the rich result is gone?
No. Google states that unused structured data causes no problem for Search and produces no visible effect. The markup still declares which text is a question and which text is its answer, and other engines still parse it.
Does a crawler need JavaScript to read JSON-LD?
No. A JSON-LD block present in the HTML response parses without a rendering pass. Script-injected markup depends on that pass, which most AI crawlers skip — the subject of Can AI Crawlers Read JavaScript?.
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