Explanation
Structured data provides machine-readable clues about page content. Google supports specific search features and publishes requirements for them. Valid markup may make a page eligible for a particular appearance, but does not guarantee it. The data must match visible content and must not mislead users.
Fictional example
The synthetic /robots page in a local mockup shows a lesson title and text, but its training JSON-LD also names a fictional author and rating. A validator might accept the syntax even though these fields do not match the page. Remove unsupported properties and keep only accurate information visible to the reader. Check markup locally; run a public test only for your own accessible staging URL.
Practice
Choose one page type and check whether a supported markup type fits it. Compare every JSON-LD field with visible text and a real data source. Run the URL through the Rich Results Test; after publishing, check the relevant Search Console report. Record syntax errors, content mismatches, and desired enhanced appearances separately. Only check the Search Console report after an owner-approved release has made the URL accessible; if no such release and check took place, record “not checked.”
Checklist
- The markup type accurately describes the page.
- Every claim is supported by visible content.
- Required properties for that specific type are present and accurate.
- There are no fictional reviews, ratings, prices, dates, or authors.
- The result is recorded as valid / invalid / type not tested by this tool.
Common mistake
Adding every known Schema.org field and assuming the page will receive a rich result. Follow the official documentation for the specific feature and the general quality rules.