schema markup validator tool

Structured data is a machine-readable summary of what a page is about, embedded in the page itself. It does not change your ranking, but it decides whether your result can show review stars, an FAQ accordion, a product price, an event date or a recipe card — and those change the click rate at a position you already hold. Enter a URL above and the check reports every structured data block found and whether it parses.

Invalid markup fails silently

A JSON-LD block with a trailing comma, a missing brace or a truncated string does not raise an error anywhere you would see it. The page renders, the block sits in the source looking correct, and the rich result simply never appears. Teams often conclude their content was not selected when the actual cause is a parse error introduced by a template variable that was empty for that one page.

Type matters more than volume

Adding every schema type you can think of does not help. What helps is declaring the type that matches what the page actually is, with the properties that type genuinely requires, and having those properties match what a visitor can see. Markup that claims a review score the page does not display, or an event that is not on the page, is the fastest route to losing rich results entirely — that is the enforcement mechanism, and it applies at the site level rather than the page level.

Where the blocks come from

On most sites structured data is generated by more than one source: a theme, an SEO plugin, a page builder and sometimes hand-written code. They rarely coordinate. Two Organization blocks with different names, two Article blocks with different dates, or an FAQPage on a page with no visible questions all originate this way. Seeing every block on the page at once is usually what identifies which system is producing the wrong one.

Using the result

Confirm the primary type is right for the page. Confirm the identifying properties — name, headline, image, date, price, author — are present and match the visible content. Remove duplicated blocks rather than editing both. Then check a handful of pages per template rather than just one, because the failures come from data being missing on specific records, not from the template being wrong everywhere.