Schema Markup Check
Validate your page's structured data and discover what can improve your visibility in Google and AI assistants.
No data is stored or shared.
Understand Structured Data
What is Structured Data and why Google uses it
Structured data (also called schema markup) is code invisible to visitors that helps Google understand exactly what your page is: an article, a company, a product, or a recipe. This enables rich results like stars, FAQs, and knowledge panels.
For AI assistants like ChatGPT and Perplexity, structured data acts as an entity profile. Sites with correct schemas are cited more frequently and confidently.
Why validate
Three reasons to check now
Rich results
Correct schemas enable star ratings, breadcrumbs, and FAQs in Google results — increasing click-through rate.
AI-recognized entity
Organization, Person, and sameAs help ChatGPT and other LLMs identify and cite your brand accurately.
Common errors detected
Invalid JSON, author as plain text, or relative URLs are frequent mistakes this validator finds instantly.
How it works
Full validation in seconds
Enter the URL
Paste the address of any public page. No account needed.
Automatic detection
We identify all JSON-LD blocks on the page and check syntax, type, and properties.
Clear results
See what passed, what failed, and access the formatted JSON of each schema found.
Frequently asked questions
Structured data questions
What is schema markup (structured data)?
Schema markup is a schema.org vocabulary that describes your page content in a machine-readable way. It helps search engines and AI understand entities such as articles, products, FAQs and your organization, and it unlocks rich results in search.
Should I use JSON-LD, Microdata or RDFa?
Google recommends JSON-LD, a script block with the type application/ld+json placed in the head or body. It is the easiest format to maintain, the least error-prone, and the one this tool validates.
Which schema types produce rich results on Google?
The main ones include Article, Product, Review, FAQPage, HowTo, BreadcrumbList, Event, Recipe, Organization, LocalBusiness and VideoObject. Each type has required and recommended properties; Google's Search Gallery lists every eligible format.
Does structured data improve ranking?
It is not a direct ranking factor, but it enables rich results — such as review stars, FAQs and prices — that boost click-through rate. It also provides semantic context that AI uses to identify and cite your brand more confidently.
Why does validation flag a missing required property?
Each schema.org type has required fields — for example, Article needs a headline and Product needs name and offers. If a required field is missing, Google may not show the rich result. Recommended fields are optional but widen eligibility and display quality.
How does structured data help with GEO (AI citation)?
Language models use schema to recognize entities and facts with confidence. Marking up author, dates, organization and FAQs increases the chance of your content being cited in answers from ChatGPT, Gemini and Perplexity.
Which schema should I use for my page?
For articles: Article or BlogPosting. For companies: Organization with sameAs. For products: Product with offers. For FAQs: FAQPage. For tools: WebApplication. Use JSON-LD (Google's preferred format) and validate before publishing.
Do I need schema on every page?
Not on every page — but each page type benefits from schema suited to its content. Homepages typically use Organization or WebSite; product pages use Product; articles use Article. Pages without schema miss rich result opportunities and signals for AI.