Schema Markup for AI Search: What Structured Data Really Does
Google says AI Overviews need no special schema. Here is what structured data still does, how to mark up your organization and authors in JSON-LD, and how to validate it.
Entity Signal & Schema Checker
See the entities your JSON-LD describes — Organization, Person, FAQPage and their sameAs links.
What this tool does
Parses every JSON-LD block, resolves @graph, @id references and types into an entity tree, then checks syntax, vocabulary, agreement with the visible page, identity consistency and current search feature support separately.
What you get
- Entity tree with relationships and source lines
- Syntax, vocabulary, visible-agreement and identity findings
- Current Google feature support notes
Scope
One page; up to 15 sameAs destinations are checked for reachability.
Pages are fetched politely by BacklnkBot, robots.txt is respected, and only public websites can be audited. Every finding shows the evidence it is based on and when it was measured.
Limitations
- • JSON-LD only: Microdata and RDFa are detected but not assessed.
- • A reachable sameAs profile does not prove it identifies the same entity — those checks stay inconclusive.
- • Remote @context documents are not fetched.
Frequently asked questions
- Does every page need Organization and FAQPage markup?
- No. No type is required on every page; the checker evaluates what you used and whether it matches the page.
- Does valid JSON mean valid schema?
- No. Parsing is only the first layer; vocabulary, page agreement and identity are reported separately.
Guides
Learn the topic behind the schema & entities check
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- Answer Snippet ExtractorFind the definitions, steps, lists, tables and summaries a reader — or an answer engine — could quote.
- Sitemap Hygiene AuditorCheck sitemap syntax, limits, duplicates and lastmod patterns — and verify a sample of destinations.
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