What does this validator check?

It parses your JSON-LD, confirms it is syntactically valid JSON, checks for the required @context and @type, and then applies per-type rules — for example that an Article has a headline, datePublished and author, or that a FAQPage has at least one Question with an acceptedAnswer.

Is my markup sent to a server?

No. Validation runs entirely in your browser. Nothing is uploaded, logged or stored, so you can safely paste markup from staging or private pages.

Does valid schema guarantee rich results?

No. Valid markup makes a page eligible; whether Google shows a rich result also depends on page quality, indexing and search intent. For AI answer engines the value is different — valid schema helps them attribute and date your claims, which affects whether you get cited at all.

Which schema types matter most for AI search?

Organization sitewide, Article or BlogPosting on content, FAQPage on question-led pages, HowTo on procedures, and Product where you sell. Those five cover the vast majority of extraction and attribution needs.

JSON-LD Schema Validator

Paste your structured data and see exactly what is missing — required properties, broken dates, and the fields AI engines rely on.

Your JSON-LD

Results

0 errors, 1 warning

root (Article): all required properties present.
root (Article): consider adding dateModified, image, publisher, mainEntityOfPage — AI engines use these to date and attribute the claim.

What a validator can and cannot tell you

This checker answers the mechanical questions: is the JSON parseable, is the @context right, does each @type carry the properties schema.org requires, and are your dates real ISO 8601 values. Those are the failures that silently disable rich results and confuse answer engines.

The AI-search layer

Beyond validity, the warnings flag the fields that matter specifically for generative engines: dateModified so freshness can be judged, author and publisher so a claim can be attributed, and sameAs so your organisation resolves to a single entity across the web.

Supported inputs

A single JSON-LD object
An array of objects
A @graph containing multiple nodes
Markup pasted with its <script> wrapper — the tags are stripped automatically

Want the full picture?

This tool generates one piece. OptimAIze scans your whole site, audits structured data, content, crawler access, and answer-readiness — then gives you everything you need to be cited by AI.

Run a full GEO + AEO scan on your site

Frequently asked questions

What does this validator check?: It parses your JSON-LD, confirms it is syntactically valid JSON, checks for the required @context and @type, and then applies per-type rules — for example that an Article has a headline, datePublished and author, or that a FAQPage has at least one Question with an acceptedAnswer.
Is my markup sent to a server?: No. Validation runs entirely in your browser. Nothing is uploaded, logged or stored, so you can safely paste markup from staging or private pages.
Does valid schema guarantee rich results?: No. Valid markup makes a page eligible; whether Google shows a rich result also depends on page quality, indexing and search intent. For AI answer engines the value is different — valid schema helps them attribute and date your claims, which affects whether you get cited at all.
Which schema types matter most for AI search?: Organization sitewide, Article or BlogPosting on content, FAQPage on question-led pages, HowTo on procedures, and Product where you sell. Those five cover the vast majority of extraction and attribution needs.