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Schema markup generator

Produce valid JSON-LD for the structured-data types AI engines and Google actually read - FAQPage, Article, Person, and HowTo. Fill the fields, copy the code. No signup.

Validate ↗
Pick a type, fill the fields, and hit Generate.
01 Why it matters

Schema is how machines read your entity

Structured data doesn't change your words - it labels them so a machine knows what they mean. About 71% of pages ChatGPT cites and 65% of Google AI-Mode citations carry structured data. It won't single-handedly get you cited (ChatGPT reads JSON-LD as plain text), but it powers Google's Knowledge Graph and AI Overviews, and it's the cheapest trust signal you can add.

Priorities: Organization for entity resolution, Article for authorship and recency, FAQPage because it mirrors the Q&A format AI retrieval uses, and Person (with a full sameAs array) to build the author entity that ties all your content together.

FAQ

Frequently asked questions

Which schema type should I use?
Article/BlogPosting for posts (authorship + recency), FAQPage for Q&A blocks (mirrors how AI retrieval works), Person for your author/about page (the entity AI links you by), and HowTo for step-by-step guides. Add Organization and BreadcrumbList sitewide too.
Does schema get me cited by ChatGPT?
Indirectly. A controlled test showed ChatGPT reads JSON-LD as raw text, so schema's biggest payoff is with Google AI Overviews (via the Knowledge Graph) and rich results. Still worth doing - ~71% of pages ChatGPT cites carry structured data - but pair it with the on-page tactics that matter more.
JSON-LD or microdata?
Always JSON-LD. It's Google's recommended format, it's cleaner to maintain (a single script block in the head), and it consistently outperforms microdata/RDFa for machine comprehension.
Where do I paste the code?
Inside a <script type="application/ld+json"> tag in the <head> (or anywhere in the body) of the relevant page. Validate it with Google's Rich Results Test before you deploy.
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