Question 1

What is schema markup validation?

Accepted Answer

Schema markup validation checks your JSON-LD structured data for syntax errors, missing required properties, and compliance with schema.org specifications. Valid schema markup increases your chances of earning rich results in Google Search.

Question 2

What are common schema markup errors?

Accepted Answer

Common errors include: missing required properties (like name or @type), invalid JSON syntax, incorrect date formats, missing @context declaration, and using deprecated schema types. This validator identifies and explains these issues.

Question 3

How do I fix invalid JSON-LD markup?

Accepted Answer

Review the validation errors and warnings provided by the tool. Common fixes include: adding missing required properties, fixing JSON syntax (quotes, commas, brackets), using correct data formats for dates and URLs, and ensuring the @type matches schema.org specifications.

Question 4

What is the difference between errors and warnings?

Accepted Answer

Errors indicate critical issues that may prevent rich results (missing required properties, invalid syntax). Warnings suggest improvements for better SEO or best practice compliance but won't necessarily prevent your schema from working.

Schema Markup Validator

What is JSON-LD Schema Markup?

What are common schema types?

What rich results can schema enable?

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