Syntax & Context Validation
Catch malformed JSON, invalid @context values, and unrecognized schema types before they reach production.
Structured Data Validator for JSON-LD Compliance
TL;DR: Structured Data Validator checks validate json-ld syntax and required schema properties. so you can confirm the current issue, understand when it matters, and move directly into the next fix without leaving the browser.
Audit schema blocks for syntax and eligibility issues.
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JSON-LD syntax check Required property audit Schema type validation Rich result eligibility
What does Structured Data Validator do?
The Structured Data Validator checks JSON-LD for syntax correctness, schema context, known entity types, and required fields for common rich result classes. Use it for both pasted markup and live URLs.
Why it matters for SEO: Broken or incomplete structured data means missed rich result opportunities — FAQ carousels, product cards, review stars, and breadcrumbs that significantly boost click-through rates in search results.
Pre-Deploy QA: Validate schema markup in staging before production pushes to catch missing required fields that would block rich results.
Rich Result Debugging: Diagnose why a page's FAQ or Product schema is not generating rich snippets by checking for syntax errors and missing properties.
Schema Maintenance: Periodically audit live pages to catch schema drift caused by CMS updates, template changes, or plugin conflicts.
When should you use Structured Data Validator?
Structured Data Validator is most useful when you need a direct answer on a live URL or draft before you change templates, ship content, or rerun a wider audit.
How to Use This Tool
- 1 Paste JSON-LD or fetch from URL.
- 2 Review errors, warnings, and info messages.
- 3 Fix missing required fields.
- 4 Revalidate until all critical errors are resolved.
What should you do next?
After validating schema, generate new markup with the Schema Generator and check AI readiness. Then move to the related checks below to confirm the fix on the live canonical page.
What You Get
Required Field Audit
See which required and recommended properties are missing for your schema type's rich result eligibility.
Live URL & Paste Support
Validate both pasted markup drafts and live production URLs in one tool — ideal for pre-deploy and post-deploy QA.
Frequently Asked Questions
Answers about Structured Data Validator
You can validate JSON-LD by pasting schema markup or fetching a live URL in the Structured Data Validator. It tests syntax correctness, schema type usage, and required properties needed for rich result eligibility.
The most common schema errors that prevent rich snippets are invalid JSON syntax and missing required fields. Incorrect property types and markup that does not match visible page content also block rich result eligibility.
Yes, the Structured Data Validator supports both direct code input and live URL extraction. You can verify draft markup before deployment and audit production implementations from the same tool.
Schema errors are critical issues that can invalidate markup entirely, while warnings indicate quality gaps. Errors must be fixed for rich result eligibility; warnings may reduce result completeness or visual enhancement.