Free Schema Markup Generator: Valid JSON-LD in 60 Seconds
A schema markup generator turns the facts about your business, page, or product into valid JSON-LD structured data that search engines and AI assistants can read. Pick a schema type below, fill in the fields, and copy the finished script tag onto your page.
Everything runs in your browser. Nothing you type leaves this page.
What does this tool generate?
This tool generates valid JSON-LD structured data — the format Google explicitly recommends — for the seven schema types that matter most in real projects: FAQPage, LocalBusiness, Product, Organization, Person, Article, and Service. You fill in plain-language fields, and it assembles a complete script tag with correct schema.org vocabulary, nesting, and syntax. FAQPage output supports unlimited question-and-answer pairs; LocalBusiness includes address, geo, hours, and contact fields; Product covers price, availability, and aggregate ratings. The result is clean markup with no watermark and no generator credit, ready to paste into any page and validate with Google's Rich Results Test. These are the same blocks Google rich results, AI Overviews, ChatGPT, Perplexity, and Gemini read to understand who you are and what you sell.
How to use it (3 steps)
- Pick the schema type that matches your page — FAQPage for Q&A content, LocalBusiness for a physical location, Product for anything with a price.
- Fill in the fields and generate. Only fields you complete are included, so the output is always valid.
- Copy the script tag into your page's <head>, then confirm it with Google's Rich Results Test.
Why JSON-LD is the fastest SEO win most sites skip
Structured data is one of the few ranking-adjacent signals you fully control and can ship in an afternoon. On client sites I consistently see FAQPage markup win expanded search listings within days of deployment, and Organization markup is the backbone of every knowledge panel and accurate AI citation I've helped a client earn. The engines don't guess when you hand them a machine-readable fact sheet — a page with complete Product markup shows price and stars in results, while an identical page without it shows two plain blue lines. The same data feeds AI engines: when ChatGPT or Perplexity describes your business, it leans on the entities your markup declares. If you're not sure which types your page is missing, run my Schema Gap Checker against your top competitors first, and read my guide on building a full JSON-LD schema graph to connect the pieces with @id references. Want it implemented and QA'd for you? My schema implementation service handles the full stack, or start with a free AI SEO audit.
FAQ
Yes. The output follows schema.org vocabulary and Google's structured data guidelines for each type. You can confirm any snippet in Google's Rich Results Test before publishing — it should pass with zero errors as long as your inputs are accurate.
Paste the whole script tag into the head or body of the page the markup describes. In WordPress, use a header/footer snippet plugin or your theme's custom HTML block. One page should carry the markup that describes that page only.
Start with Organization or LocalBusiness on your homepage to establish your entity, then FAQPage on service pages, and Product or Article where relevant. Entity-defining types come first because every other type links back to them.
No. The generated JSON-LD is clean, contains only the data you enter, and is yours to use on any site, client project, or template. No account, no watermark, no attribution required.
Yes. JSON-LD gives AI engines like ChatGPT, Perplexity, and Gemini machine-readable facts about your brand, which improves how accurately they describe and cite you. It also powers Google rich results, which feed AI Overviews.
Last updated: August 9, 2026
Not sure which types you're missing? Compare your page against 3 competitors first.
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8+ years in SEO, top 3% of Upwork freelancers, 100% Job Success Score. I've deployed this exact markup on 1,000+ pages — these templates are the ones that pass validation first try.
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