Schema Checker — Validate Structured Data & JSON-LD
Validate schema.org structured data and JSON-LD markup on any URL. Detect errors that prevent rich snippets in Google Search. Free schema checker tool.
What is a Schema Checker?
The Schema Checker fetches any URL and extracts all structured data markup found on the page — JSON-LD, Microdata, and RDFa — then validates each against schema.org specifications and Google's Rich Results requirements. It identifies errors and warnings for each schema type detected: missing required properties, invalid data types, incorrectly formatted values, and schema types that Google does not support for rich results.
When Should You Use Schema Checker?
Run this after adding or updating structured data on any page, when a rich result that previously appeared in Google Search Console stops showing, or as part of a technical SEO audit. Invalid schema will not generate rich results and may produce warnings in the Enhancements reports. The most common issues are missing required fields and dates that do not conform to ISO 8601 format — these errors are easy to make and invisible unless you validate.
How to Read Schema Checker Results
Errors in the results prevent rich results entirely and must be fixed first. Warnings indicate suboptimal implementation that does not block rich results but reduces quality. A common error on Article schema is a missing image property — required for Article rich results. For FAQPage schema, a frequent issue is answer text containing HTML tags instead of plain text, which Google rejects.
What Should You Know Before Using Schema Checker?
Cross-reference errors with Google's official documentation for each schema type — requirements differ between schema.org and what Google specifically needs to trigger rich results in search. After fixing errors, submit the URL for inspection in Google Search Console and use the Rich Results Test to confirm the schema renders correctly. Monitor the Enhancement reports for that schema type over the following two weeks — rich results can take several crawl cycles to appear after a fix is deployed.
Frequently Asked Questions
What is schema markup and how does it help SEO?
Schema markup is structured data added to a page's HTML (usually as JSON-LD) that describes the content in a machine-readable format. It helps search engines understand what a page is about — whether it is a product, article, FAQ, or how-to guide — and enables rich results such as star ratings, FAQ dropdowns, and breadcrumbs in Google Search.
What is JSON-LD and why does Google recommend it?
JSON-LD (JavaScript Object Notation for Linked Data) is the structured data format Google recommends. It is placed in a script tag in the page head or body, separate from the HTML content, making it easy to add and update without editing the visible markup. Google also supports Microdata and RDFa, but JSON-LD is preferred for its simplicity and maintainability.
What schema errors prevent rich results?
Errors that prevent rich results include missing required properties (e.g., no image on Article schema), dates not in ISO 8601 format, answer text in FAQPage schema containing HTML markup instead of plain text, and Product schema with no price or availability specified. The Schema Checker distinguishes errors (blocking) from warnings (non-blocking) so you know what to fix first.
How long does it take for schema markup to generate rich results?
After deploying valid schema and confirming it with Google's Rich Results Test, rich results typically appear within one to several weeks, depending on how frequently Googlebot crawls your site. Submit the URL for inspection in Google Search Console to trigger a recrawl. Monitor the Enhancement report for that schema type in the weeks following deployment.
Does schema markup help with AI search?
Yes. Schema markup provides structured, machine-readable context about your content that AI systems including Google AI Overviews, ChatGPT, and Perplexity use to understand and cite pages more accurately. FAQPage schema makes Q&A content directly extractable, HowTo schema enables step-by-step citation, and Article schema provides authorship and publication date context.
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