JSON-LD Schema Generator
Build structured data for Article, FAQ, Product, Organization, and Breadcrumb schemas. Paste-ready, spec-compliant, works with Google and AI crawlers.
For blog posts, news articles, and editorial content.
Output
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Article",
"author": {
"@type": "Person"
},
"publisher": {
"@type": "Organization"
}
}
</script>{
"@context": "https://schema.org",
"@type": "Article",
"author": {
"@type": "Person"
},
"publisher": {
"@type": "Organization"
}
}Paste the first block into your page's <head> or just before the closing </body>.
Pick a schema type
Article, FAQ, Product, Organization, or Breadcrumbs — whatever matches your page.
Fill in the fields
Only required fields are marked. Leave optional fields blank — they won't appear in the output.
Copy and paste
Copy the <script> block and paste it into your page's <head>. Done.
Frequently asked questions
What is JSON-LD?▾
JSON-LD (JSON for Linked Data) is the recommended format for adding structured data to web pages. Google, Bing, and AI search engines like ChatGPT and Perplexity use it to understand your page content and decide whether to cite it in answers.
Which schema type should I use?▾
Use Article for blog posts and news. FAQ for question-answer pages. Product for e-commerce pages. Organization on your about/homepage to establish brand identity. BreadcrumbList for any hierarchical page.
Where do I put the generated code?▾
Paste the full <script type="application/ld+json"> block into the <head> of your page, or just before the closing </body> tag. Both work — <head> is cleaner and loads earlier.
Do AI search engines actually use this?▾
Yes. ChatGPT, Perplexity, Gemini, and Claude all parse structured data when deciding which pages to cite. Clear schema signals the page is trustworthy and easy to extract facts from — a direct factor in AI citation probability.
Is the generated schema validated?▾
Yes — the output conforms to schema.org vocabulary. We recommend running it through Google's Rich Results Test (search.google.com/test/rich-results) before deploying to catch edge cases.
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