Structured Data Testing.

Structured data testing is the process of validating that schema markup (JSON-LD, Microdata, or RDFa) is correctly implemented on a web page — verifying the syntax is error-free, the required properties for each schema type are present, and the implementation meets Google's guidelines for rich result eligibility.

Google's Testing Tools

Google's Rich Results Test (search.google.com/test/rich-results) is the primary validation tool for checking Google-eligible rich results. It shows detected schema types, required and recommended properties, errors that prevent rich result display, and warnings for optional properties that improve rich result quality. Google Search Console's Rich Results report provides site-wide structured data monitoring and error alerting.

Schema Validator

Schema.org's official schema validator (validator.schema.org) checks that markup is valid schema.org syntax, independently of Google's specific rich result requirements. Using both tools ensures: (1) the schema is syntactically correct and (2) it meets Google's specific rich result eligibility criteria for the implemented schema type.

Common Structured Data Errors

Missing required properties (attempting to enable a review snippet without the required 'ratingValue'), incorrect value types (providing text where a number is required), nesting errors (placing a schema block inside an HTML element where Googlebot can't read it), test environment vs. production discrepancies (structured data present in staging but stripped in production build), and incorrectly scoped schemas (marking up the wrong element, like page navigation rather than the main content).