JSON-LD & ENTITY SCHEMA VALIDATOR

Can AI Resolve Who You Are and What Your Website Offers?

Entity graphs and structured data reduce ambiguity across organizations, people, products, services and pages. Verify that markup matches visible content.

JSON-LD ParsingSchema.org TypesEntity LinkingZero Guesswork

Free schema structured data check

Enter a domain to parse all JSON-LD and structured data blocks.

Try:

Public HTTP/HTTPS surfaces only. Private or local targets fail closed.

HTML&HTML / SCHEMA

Syntactic validity and entity depth.

We parse raw JSON-LD blocks directly from crawled HTML without executing arbitrary scripts.

01 / SYNTAX

JSON Parsing

Catches unescaped characters, malformed JSON, and invalid script tags embedding structured data.

02 / TYPES

Schema.org Conformance

Validates core types including Organization, WebSite, Article, Product, and BreadcrumbList.

03 / RELATIONS

Entity Graph

Checks author, publisher, and publisher logo linkages that build knowledge graph clarity.

EPISTEMIC BOUNDARY

Epistemic boundaries

Valid schema does not guarantee rich snippets on Google; search engines decide snippet display algorithmically.

DISCLOSURE

We do not validate proprietary custom vocabularies outside standard Schema.org.

FAQ

Frequently Asked Questions

Why is JSON-LD preferred over Microdata?

JSON-LD is decoupled from HTML presentation, easier to maintain, and the format recommended by Google and modern AI systems.

Does broken schema break my website?

It won't break page rendering, but it causes search engines and AI agents to discard your semantic entities entirely.

Can I test raw HTML schema blocks?

Yes, the homepage direct HTML paste tab allows testing raw snippets directly.

Implement clean, error-free entity schemas.

Fix broken schema blocks with exact code fixes and validation tests in the $99 Yol Haritası.

Full Site Yol Haritası — $99

Your customer asks AI ‘who should I choose?’ Is your website in the consideration set?

HTML&HTML prepares your website for visibility, citation eligibility and recommendation opportunity across AI search experiences. It shows measurable website-side blockers that can prevent discovery, understanding and source consideration.

BE DISCOVERABLE BY AI

robots.txt, sitemaps, canonicals, indexability and AI crawler access form the discovery foundation.

BE UNDERSTANDABLE

GEO, AEO, LLMO, entity graphs, schema and answer extractability reduce machine ambiguity.

BE SOURCE-READY

RAG/retrieval, original information, E-E-A-T, freshness and evidence support source eligibility.

TURN OPPORTUNITY INTO DEMAND

AAO, accessible journeys, intact links, measurable referrals and clear CTAs connect AI discovery to commercial action.

Recommendations, rankings, citations, traffic, customers and revenue are not guaranteed. HTML&HTML measures website-side technical and content blockers; it does not claim control over external AI systems.