schema-audit

You validate schema markup by checking structured data on web pages against schema.org standards to ensure rich result eligibility in search engines. This process verifies adherence to JSON Schema requirements and prevents schema drift.

Yes, you can import and validate structured data using Screaming Frog SF exports. The audit integrates directly with SF export data and optionally uses SF MCP live mode for real-time cross-validation against crawled content.

Automated schema markup auditing is the scheduled validation of structured data against schema.org standards to catch compliance issues early. You need it to maintain rich snippet eligibility and prevent schema drift across large websites.

You run a scheduled audit by specifying your website project slug and the Screaming Frog export date. The audit then automatically validates your JSON Schema structured data and reports any rich results compliance issues.

Yes, schema markup validation requires JSON Schema compliance to ensure structured data adheres to schema.org standards. This validation confirms your web pages meet the criteria for rich result display in search engines.

Automated schema markup audits rely on provided Screaming Frog export data or live MCP mode access. If the initial crawl misses dynamically injected structured data, the validation results may not reflect the actual rich results compliance status.