Run any URL through this schema markup checker to see every JSON-LD block on the page, catch syntax errors, and get field-level warnings for Product, Article, FAQPage and 18 more types.
The schema checker fetches your live page — the same HTML search engines and AI crawlers see, not a cached copy.
We extract every JSON-LD script, parse it like a strict structured data testing tool, and lint each entity’s required and recommended fields.
Syntax errors with previews, missing fields ranked error vs warning, plus counts of microdata and RDFa schema tags found alongside.
One stray comma kills a whole block silently. The schema validator pinpoints the exact parse error with a preview.
Product, Offer, Article, FAQPage, HowTo, Organization, LocalBusiness, Review, Event and more — required fields verified per type.
Missing ratingValue or datePublished quietly disqualifies rich snippets. This schema markup tester flags them before Google does.
Modern sites nest everything in one @graph. We unwrap it and validate each entity separately — like a JSON-LD validator should.
ChatGPT and Perplexity lean on structured data to understand entities. Clean schema tags help you get cited, not just ranked.
Paste, run, fix. The full report loads in a few seconds and is free for any public URL.
Schema markup is a vocabulary (schema.org) that describes what a page contains — a product, an article, a recipe — in a machine-readable block. Most sites ship it as JSON-LD inside a script tag, and a structured data testing tool checks two things: does the JSON parse, and does each entity carry the fields its type requires. That is exactly what this schema markup checker automates, acting as both a syntax-level JSON-LD validator and a field-level schema validator in one run.
The classic failure modes are mundane: a trailing comma that invalidates the whole block, a Product with offers but no priceCurrency, an Article missing datePublished, or duplicate schema tags injected by two plugins fighting each other. Run this schema markup checker after every template change and before big launches — broken markup does not error visibly on the page, it just silently costs you rich results and AI citations.
“Found a trailing-comma syntax error that had nuked our Product snippets for weeks. Google’s own tool just showed “no items”.”
“The error-vs-warning split matches how we triage. Required fields as errors, nice-to-haves as warnings — clean.”
“Great for catching plugin conflicts — it showed me two overlapping Organization blocks I did not know existed.”
“My go-to schema markup tester for client audits now. Fast, and the @graph handling is better than most paid tools.”
Every JSON-LD block on the page: strict JSON parsing with error previews, then per-entity field checks across 21 common types (Product, Article, FAQPage, HowTo, Organization, Review, Event and more), plus a count of microdata and RDFa schema tags.
Google’s Rich Results Test only reports types eligible for Google rich results. This schema checker validates all your JSON-LD — including types AI engines use to understand entities — and shows syntax errors with exact previews.
Yes — arguably more. ChatGPT, Perplexity and Gemini use structured data to disambiguate entities, prices and reviews. Clean schema tags make you easier to cite accurately.
This tool runs against live URLs. For undeployed code, paste your JSON into any raw JSON-LD validator for syntax, then re-run this checker after deploy to verify the page actually ships the block.
Valid is necessary, not sufficient: Google also weighs eligibility, page quality and time. Fix every error here first, keep the warnings low, then give re-crawling a couple of weeks.
Kairosy asks ChatGPT, Gemini, Claude and Perplexity the questions your buyers ask — and shows whether they recommend you, ignore you, or send buyers to a rival.
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