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Content & Structure

Schema Markup Checker

Extract and validate the JSON-LD structured data a page actually serves.

Free · instant

Run a deterministic technical check

The result comes from HTTP requests, parsers and maintained rules — no AI guessing, so it is reproducible.

A specific public page, e.g. https://yourbrand.com/guides/one

Requests are rate-limited and cached. Only public content is fetched.

Account
Not required
How it runs
HTTP requests + parsers + rules
Data
Public web content and the input above only

About this check

01

What does this tool check?

We pull every application/ld+json block from the raw HTML, parse it (including @graph nesting), list the schema.org types found, and surface JSON errors that silently disable the whole block.

02

How should I read the result?

One trailing comma invalidates an entire JSON-LD block — parsers do not partially accept it. Types shown are what the page serves, which is not a promise that any engine uses them.

03

What should I do next?

Fix parse errors first, then make sure the types match the page content (FAQPage on a FAQ, Product on a product).

Sources: schema.org 入门

Check this next

FAQ Structure CheckCompare visible Q&A content against FAQPage schema and find mismatches.Metadata & Heading CheckerReview heading hierarchy, title, description and page language.
大乐GEO

This checked one page

The DaleGEO workspace scans the whole site, ranks gaps by impact, and generates the FAQ, schema and content to close them — then measures whether AI starts citing you.

Run a full analysis
  • Scheduled re-checks with change alerts
  • Visibility and citations across the mainland AI engines
  • Fixes ranked by impact, with content generated
Schema Markup Checker — Extract and Validate JSON-LD