schema-json-optimization

To validate JSON-LD structured data, you need to locate application/ld+json blocks, parse the JSON safely, and enforce required keys like @context and @type to ensure rich results eligibility. This process detects parse errors and verifies type-specific fields.

Auditing schema markup involves detecting page type signals from the HTML and then validating only the applicable schema fields for types like Article, Product, or LocalBusiness. This targeted approach flags missing fields and generates tailored schema templates.

Checking FAQ schema markup requires parsing the JSON-LD blocks and enforcing type-specific required fields. By detecting FAQ signals on your page, the validation process identifies missing schema fields and suggests the correct structure.

JSON-LD validation works for any HTML page by auto-detecting page type signals for Article, LocalBusiness, Product, FAQ, Organization, BreadcrumbList, and WebSite. It then applies validation checks only to the detected schema types.

Your BreadcrumbList schema fails the SEO audit because the JSON-LD block contains parse errors or is missing required keys such as @context and @type. Validating structured data safely locates these blocks and enforces type-specific field presence.

You do not need to manually specify schema types when checking structured data. The validation process auto-detects relevant page type signals from the HTML and recommends only the schema types that match the detected page context.