Structured Data Checker

How to interpret JSON-LD structured data

The inventory reveals whether machine-readable entities are present and whether each captured block can be parsed as JSON. This is discovery and JSON syntax checking, not full Schema.org validation, rich-result eligibility testing, or confirmation that a search engine uses the markup.

What the tool evaluates

The tool counts up to 20 JSON-LD blocks, parses their JSON syntax, reports invalid blocks, and lists discovered @type values. The inventory reveals whether machine-readable entities are present and whether each captured block can be parsed as JSON.

• The tool counts up to 20 JSON-LD blocks, parses their JSON syntax, reports invalid blocks, and lists discovered @type values.
• Malformed JSON, empty or unexpected @type values, duplicated entities, and markup that no longer matches visible content deserve review.
• Fix syntax first, then validate properties and eligibility with Schema.org documentation and the relevant search-platform testing tools.

Common problems and next steps

Malformed JSON, empty or unexpected @type values, duplicated entities, and markup that no longer matches visible content deserve review. Fix syntax first, then validate properties and eligibility with Schema.org documentation and the relevant search-platform testing tools. This is discovery and JSON syntax checking, not full Schema.org validation, rich-result eligibility testing, or confirmation that a search engine uses the markup.