Free Schema Markup Checker
Instantly check whether your page serves valid JSON-LD structured data.
What the checker looks for
JSON-LD detection
Finds every JSON-LD script block in your HTML and confirms it parses as valid JSON.
Schema types
Lists the @type values it finds — Organization, Product, FAQPage, Article and more.
AI readiness
Structured data helps AI search engines understand and cite your content correctly.
What you get back
- Every JSON-LD block on the page, validated as parseable JSON
- A list of the schema @types found (Organization, FAQPage, Product, …)
- A clear warning when no structured data is present at all
What is Schema Markup?
Schema markup is structured data — usually written as JSON-LD inside a script tag — that tells search engines exactly what your page contains. Instead of guessing whether a page is a product, an article, an organization or a FAQ, Google reads the schema and knows. Pages with valid structured data can earn rich results in search: star ratings, FAQ dropdowns, breadcrumbs, prices and event details that take up more space and attract more clicks than a plain blue link.
Schema markup matters just as much for GEO — Generative Engine Optimization. AI assistants and AI search engines such as ChatGPT, Perplexity and Google's AI Overviews rely on structured data to understand who you are and what you offer. A clear Organization schema tells an AI which company a page belongs to; a SoftwareApplication schema explains what your tool does and what it costs; a FAQPage schema gives AI models ready-made question-and-answer pairs they can quote. Sites without structured data force AI engines to infer everything from unstructured text, which leads to vague or wrong citations. Sites with clean JSON-LD get described accurately — and get cited more often.
This free Schema Markup Checker fetches your page's live HTML and extracts every JSON-LD block it finds. It verifies that each block is syntactically valid JSON, lists the schema types in use, and flags pages that serve no structured data at all. Because the check runs on the real HTML your server returns, it catches the problems that actually hurt you: broken JSON that parsers silently skip, duplicate or conflicting blocks, and missing schemas on pages that should have them.
The checker is part of the full Your SEO Analyzer audit, so after the scan you also see how your structured data fits into the bigger picture: meta tags, headings, Core Web Vitals, sitemap and robots.txt status, security headers and our GEO readiness score — which grades how well your site is prepared for AI search engines, including llms.txt and AI crawler rules. Everything is free, requires no account, and results arrive in seconds. Paste a URL above and see exactly what search engines and AI models can read from your page.
Schema Markup Guide: JSON-LD Validation and Rich Results
What this schema markup checker does
The checker extracts every application/ld+json script from the live HTML, runs JSON-LD validation to confirm each block parses, flattens @graph structures and lists every @type found. For types such as Article, Product, FAQPage, Organization, LocalBusiness and BreadcrumbList it checks required and recommended properties from the Schema.org vocabulary.
Why structured data matters for SEO and GEO
Valid structured data makes pages eligible for Google rich results such as breadcrumbs, product prices and review stars. AI search engines like ChatGPT, Perplexity and Google AI Overviews also use JSON-LD to identify entities, which leads to more accurate citations.
How to fix common JSON-LD errors
Invalid JSON: look for trailing commas, unescaped quotes or HTML inside the script tag. Missing required fields: add properties such as name, image or offers for Product, headline and datePublished for Article. Conflicting blocks: merge duplicate Organization schemas into one @graph. Always describe content that is actually visible on the page.