Free JSON-LD Schema Generator

Generate schema.org JSON-LD structured data markup for your website. Supports Organization, Product, Article, LocalBusiness, Event, and FAQ schemas.

What is JSON-LD?

JSON-LD (JavaScript Object Notation for Linked Data) is structured data markup using schema.org vocabulary. It's code you add to your page's HTML that explicitly tells search engines and AI what your content represents.

Instead of AI guessing whether you're a local business, product page, article, or event, JSON-LD declares it explicitly along with key details like pricing, reviews, dates, locations, and relationships. Our State of AI Brand Visibility 2026 report found that brands with comprehensive schema markup appeared in AI responses 40% more often. Learn more in our guide to Answer Engine Optimization.

How to Implement

Our tool analyzes your page and generates appropriate schema markup. You'll need to add this to your page's HTML.

Step 1: Review Generated Markup

Check that detected schema types match your content. Edit any incorrect details.

Step 2: Copy the Code

Use the copy button to grab the complete JSON-LD script tag

Step 3: Add to Your Page

Paste the script tag inside your page's <head> section, preferably near the top

Step 4: Validate

Use Google's Rich Results Test or Schema Markup Validator to confirm it's working

Why Multiple Schemas?

A single page can have multiple schema types. For example, a blog post about your company might include both Article and Organization schemas. This gives AI maximum context.

What JSON-LD Code Looks Like

JSON-LD is a single <script> tag in your page's head. Here is a complete Organization example, the kind of code this generator produces:

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Acme Analytics",
  "url": "https://acme-analytics.example",
  "logo": "https://acme-analytics.example/logo.png",
  "description": "Product analytics for B2B SaaS teams.",
  "sameAs": [
    "https://www.linkedin.com/company/acme-analytics",
    "https://github.com/acme-analytics"
  ],
  "contactPoint": {
    "@type": "ContactPoint",
    "email": "hello@acme-analytics.example",
    "contactType": "customer support"
  }
}
</script>

The @context tells parsers this is schema.org vocabulary, the @type declares what the page represents, and every property is a fact a search engine or AI assistant can use without guessing. The generator above builds this for you from a URL or a form.

Frequently Asked Questions

How do I generate JSON-LD schema markup?

Use the generator at the top of this page: paste your page URL and it detects the appropriate schema types and drafts the markup, or pick a schema type (Organization, Product, Article, LocalBusiness, Event, FAQ, HowTo) and fill in the form. You get a complete script tag to copy into your page head. No signup needed.

Where do I put JSON-LD code on my page?

Inside the head section of your HTML, as a script tag with type="application/ld+json". It can technically live in the body too, but the head is the convention and keeps it away from content edits. One page can carry several JSON-LD blocks for different types.

Does JSON-LD help with AI visibility as well as Google?

Yes. Structured data was built for search engines, but AI assistants and agents parse it too, because it is the one place a page states facts unambiguously: what the product costs, when the event starts, who wrote the article. Pages that declare structure are easier for both rich results and AI answers to use correctly.

How do I validate my JSON-LD?

Run the page through Google's Rich Results Test (search.google.com/test/rich-results) or the Schema Markup Validator (validator.schema.org). Both parse the live page, so validate after deploying, not just the raw snippet. Invalid JSON, a missing required property, or a mismatched type are the three most common failures.

Is this JSON-LD generator free?

Yes, completely free with no signup. It is one of Orbilo's free tools alongside the llms.txt generator and the agent readiness check.