Free · Schema Markup Validator

Schema Markup &
JSON-LD Validator

Check any website's structured data blocks in real-time. Test JSON-LD properties, validate rich snippet elements, and optimize entity relationships for AI indexers.

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Tool Capabilities

JSON-LD Schema Audit

Parses and visualizes JSON-LD structured data scripts embedded in the page's HTML.

AI-Search (GEO) Ready

Validates entities and sameAs relationships that AI search engines use to attribute information.

Real-time Live Crawl

Fetches and analyzes the live version of any target URL instantly.

Limited Lifetime Offer

Sponsorship & Limits

Analyzing full web document structures and tracking entity validity limits server usage.

Validator scans (Guest)
2 / day2 / day
Validator scans (Logged in)
UnlimitedUnlimited
JSON-LD Format Validation
Entity Relationship Mapping
Historical Scans Dashboard
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Why Schema Validation Matters

1

Google Rich Results

Correct schema configurations make your site eligible for advanced search appearances like FAQs, product prices, star ratings, and article snippets, raising click rates.

2

AI & LLM Visibility

Search engines like Perplexity, ChatGPT, and Google Gemini rely on semantic HTML structure and JSON-LD data blocks to read and link resources accurately.

Structured Data FAQ

Answers to key questions about schema validation, JSON-LD, and optimizing for search and generative AI overview systems.

A Schema Markup Validator is a testing tool that parses your website's code (specifically JSON-LD or Microdata) to verify its structure against the official schema.org vocabularies and search engine requirements. Valid schema helps engines like Google index entity data correctly.
To use a JSON-LD Validator, enter your website's URL in the validation input. The tool crawls the live page, extracts any embedded <script type="application/ld+json"> code blocks, runs a syntax parser, and checks if all mandatory properties and types conform to standards.
Validating your structured data ensures your pages are eligible for Google Rich Results. These are enhanced search engine displays containing visual components like review star ratings, FAQs, product prices, event dates, and recipe details, which significantly boost organic Click-Through Rates (CTR).
AI engines like Perplexity, ChatGPT Search, and Google Gemini do not just search for keywords; they map entities. By validation and deploying Organization, Product, and Article schema org configurations, you provide these LLMs with explicit, machine-readable facts, making it easier for them to extract and cite your site as a verified source.
Common errors include missing required properties (such as author in an Article, or price in an Offer), invalid JSON syntax (e.g. missing commas or curly brackets), and nested entity mismatching. You can fix them by updating your CMS template output, using standard plugins, and checking your scripts with this validator.

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