What is JSON-LD schema markup?

JSON-LD (JavaScript Object Notation for Linked Data) is a structured data format that helps search engines understand your content. It enables rich results like star ratings, prices, FAQs, and more in search results, improving click-through rates.

What schema types are supported?

This generator supports Article, Product, LocalBusiness, Event, Recipe, FAQ, HowTo, Organization, Person, WebPage, BreadcrumbList, and more. Each type is optimized for Google Rich Results eligibility.

Where do I add JSON-LD schema markup?

Add JSON-LD schema markup in a tag in your page's section. You can also use Google Tag Manager or your CMS's built-in structured data features.

How do I test my schema markup?

Use Google's Rich Results Test (search.google.com/test/rich-results) to validate your schema markup and preview how it might appear in search results. Schema.org Validator is another useful testing tool.

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Schema Markup Generator

Generate JSON-LD structured data for better search engine visibility and rich results

AI Schema Analyzer

Paste your page content and let AI recommend the best schema type and extract data

Select Schema Type

Article Details

Headline*

Description

Image URL

Date Published*

Date Modified

Author Name*

Author URL

Publisher Name*

Publisher Logo URL

Fill in the required fields marked with * to generate your schema

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How Do You Add Schema Markup to Your Website?

Adding JSON-LD schema markup to your website is a straightforward process that can significantly improve your search visibility. Follow these steps to implement structured data on any page:

Select your schema type — Choose the type that best represents your content (Article, Product, LocalBusiness, Event, Recipe, FAQ, etc.).
Fill in the required and recommended fields — Enter your content details. Required fields are marked with an asterisk. The more properties you complete, the richer your search result can appear.
Generate the JSON-LD code — The tool automatically validates your input and produces properly formatted JSON-LD structured data.
Paste the code into your HTML — Add the generated JSON-LD inside a <script type="application/ld+json"> tag in your page's <head> section.
Test with Google's Rich Results Test — Validate your markup at search.google.com/test/rich-results to confirm eligibility for rich snippets.

Implementation Example

<!DOCTYPE html>
<html>
<head>
  <title>Your Page Title</title>
  <script type="application/ld+json">
  { "@context": "https://schema.org", "@type": "Article", ... }
  </script>
</head>
<body>
  <!-- Your page content -->
</body>
</html>

Which Schema Type Should You Choose?

Selecting the right schema type ensures search engines and AI systems correctly interpret your content. Here is a guide for each supported type:

Article — Best for blog posts, news articles, and editorial content. Enables headline, author, and publish date in search results.
Product — Ideal for e-commerce pages. Displays price, availability, ratings, and review counts as rich snippets.
LocalBusiness — Designed for brick-and-mortar businesses. Shows address, phone number, hours, and map integration in local search.
Event — Use for conferences, webinars, concerts, and meetups. Displays date, location, and ticket availability in search results.
Recipe — Built for food and cooking content. Shows cook time, ingredients, nutrition info, and star ratings in search.
FAQ — Perfect for help pages and knowledge bases. Creates expandable Q&A accordions directly in Google search results.
HowTo — Suited for tutorials, guides, and step-by-step instructions. Displays steps, tools, and time estimates in search.
Organization — Use for company and brand pages. Shows logo, contact info, social profiles, and founding details.
Person — Ideal for author profiles, speaker bios, and personal pages. Displays name, image, job title, and affiliations.
SoftwareApplication — Built for tools, apps, and software products. Shows ratings, pricing, OS compatibility, and download info.

Not sure which type fits? Use the AI Schema Analyzer above to paste your content and receive a recommendation with confidence score.

How Does Schema Markup Improve AI Search Visibility?

Schema markup does more than power traditional rich snippets — it plays a critical role in how AI search systems like Google AI Overviews, ChatGPT, and Perplexity understand and cite your content.

Entity Relationships and Factual Claims

Structured data helps AI systems map entities (people, organizations, products) and their relationships. When your page includes Organization schema with founding date, employee count, and social profiles, AI systems can confidently reference your brand in responses without hallucinating details.

FAQ Schema for Direct Q&A Extraction

FAQ schema provides pre-structured question-and-answer pairs that AI systems can directly extract and cite. When a user asks a question that matches your FAQ content, AI models are more likely to pull your answer verbatim and attribute it to your site.

Product Schema for Comparison Queries

Product schema with pricing, ratings, and feature data enables AI systems to include your products in comparison responses. When users ask "which is the best..." or "compare X vs Y," structured product data helps AI models surface accurate details about your offerings.

Organization Schema for Brand Accuracy

Organization schema ensures AI systems have correct information about your company — name, description, logo, contact details, and social profiles. This reduces the risk of AI-generated inaccuracies when users ask about your brand.

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