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JSON-LD Schema Validator

Check your schema markup for errors and see if it's optimized for AI search engines (ChatGPT, Perplexity, Google Overviews).

Validation Results

Paste your code and click validate.

Why Validate Your JSON-LD Schema?

Even a single missing comma or unclosed bracket in your JSON-LD code can completely break your schema, causing Google to ignore it entirely. This means you lose out on Rich Snippets, FAQ dropdowns, and enhanced SERP real estate.

Furthermore, with the rise of AI search engines like ChatGPT and Perplexity, basic schema isn't enough. Our validator not only checks for critical syntax errors but also analyzes your code for the advanced @graph structure.

Without @graph, entities remain isolated. By bundling them, you provide a clear roadmap for Answer Engines to understand the relationship between the author, the publisher, and the content itself.

Common Schema Errors to Avoid

  • Invalid JSON Formatting

    Trailing commas, missing quotes around keys, or incorrect data types are the most frequent reasons schema fails to parse.

  • Missing Required Properties

    Google requires specific properties for certain rich results (e.g., 'author' and 'datePublished' for Articles). Missing these means no rich snippet.

  • Disconnected Entities

    Not using @id to cross-reference entities. Connecting your 'WebPage' to your 'Organization' is crucial for Knowledge Graph building.

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Frequently Asked Questions

Why is validating schema markup important?
Validating ensures your JSON-LD code is free of syntax errors and complies with Google's guidelines. Broken schema will prevent search engines from generating rich snippets for your pages.
What is the @graph structure in JSON-LD?
The @graph structure allows you to bundle multiple schema entities (like WebPage, Article, and Organization) into a single interconnected array. This helps Answer Engines understand the exact relationships between the publisher, the content, and the author.
How do I fix disconnected schema entities?
You fix disconnected entities by using the '@id' property to cross-reference them. For example, connecting your 'Article' entity to your 'Organization' entity via '@id' builds a clear, unified Knowledge Graph.