Structured data helps search engines understand your pages and powers enhanced listings in search results β like FAQs, reviews, events, and more. But small errors in your markup can prevent these rich features from appearing. A Structured Data Validation Tool identifies issues across properties, data types, nested structures, and platform-specific rules so you can fix them quickly and reliably.
Real Validation Features
Comprehensive property validation
The tool checks every entity type for required and recommended properties. This helps you understand not just whether your markup is valid, but whether itβs optimized for maximum impact.
Type validation
Each property must use the correct data type β Text
, Number
, Date
, URL
, Duration
, and more. The validator ensures data types match expected schemas to prevent type-related errors.
Rich results compliance
The tool runs checks against platform-specific rules so you meet requirements for enhanced search features. For example, it verifies that products include valid price and availability, and that articles include required image properties.
Nested markup validation
Complex pages often contain nested entities (for example: an event with a location and organizer). Our validator handles nested structures and validates parent-child relationships to ensure the full graph is correct.
Path tracking
Find exactly where issues occur. The tool reports precise property paths and, when possible, line/character references so developers can jump straight to the problem in the source code.
SEO best practices
Beyond strict validation, the tool checks common SEO best practices β such as using https
URLs, meeting image guidelines, and avoiding deprecated properties β so your structured data supports visibility goals.
Professional Results Display
The way results are presented makes audits faster and more actionable for both developers and SEOs.
Grouped validation results
Errors, warnings, and informational messages are organized into distinct groups so you can triage issues by severity.
Detailed issue descriptions
Each issue includes a clear description, the exact property path, and contextual guidance β often with suggested fixes and examples.
Validation summary
Get a concise overview of all issues found, making it easy to communicate the health of your markup to stakeholders and track progress over time.
Entity type detection
The tool automatically detects all structured entity types within your markup (for example: Article, Product, FAQ, Event), so you know whatβs present and what needs attention.
Who benefits most
This tool is valuable for:
- SEOs who want reliable rich result coverage.
- Developers debugging complex markup.
- Agencies auditing multiple clients at scale.
- Content teams ensuring published pages meet visibility requirements.
How to use the tool effectively
- Run regular scans: Include structured data checks in your content QA process to catch regressions early.
- Prioritize fixes: Tackle errors first, then address warnings and suggestions.
- Test changes: Re-validate after updates and confirm in platform reporting tools where applicable.
- Document fixes: Keep a changelog of schema updates for audits and handoffs.
Conclusion
Structured data can significantly boost your search presence β but only when itβs implemented correctly. A robust validation tool that combines comprehensive checks, nested validation, path tracking, and professional reporting makes it practical to maintain high-quality markup across large sites. Use the tool to reduce errors, improve eligibility for rich results, and streamline communication between SEO and engineering teams.
Pro tip: Integrate the validator into your CI or content publishing workflow to catch issues before pages go live.