What problem does it solve?
It prevents missing or incorrect Schema.org structured data by detecting existing markup, validating it against common rich result expectations, and generating correct JSON-LD that search engines can reliably parse.
Core Features & Use Cases
- Detects structured data in multiple formats: Finds JSON-LD, Microdata, and RDFa and reports what’s present.
- Validates for common issues: Checks required properties, supported rich result types, JSON-LD correctness, data types, date formats, and URL requirements.
- Generates production-ready schema markup: Produces truthful JSON-LD snippets using templates, with guidance on schema type selection and deprecated/restricted types.
- Use case: Audit a product or local business page, identify schema gaps or invalid fields, then generate corrected JSON-LD for implementation and reporting.
Quick Start
Run the schema audit for your page URL and request a validation report plus ready-to-paste JSON-LD.