Generate JSON-LD Schema Markup
Select what type of page you have, fill in the fields, and get valid JSON-LD structured data ready to paste into your website.
What type of page are you building?
Recommended Schema Types for Your Page
Based on your page type, we recommend generating these schema types together. Switch between them using the tabs below.
Output Preview
Next step: Paste the generated code into your page's <head> section, then validate with Google's Rich Results Test.
What is a Schema Markup Generator?
A schema markup generator creates structured data (JSON-LD) code that you add to your web pages to help search engines and AI systems understand your content. This tool supports 10 schema types covering the most common page types: Organization, Article, LocalBusiness, Product, FAQPage, HowTo, Event, Person, BreadcrumbList, and WebSite. Each schema type triggers specific rich results in Google Search — from star ratings and FAQ dropdowns to event listings and knowledge panels.
Why AI Cannot Reliably Generate Schema Markup
Large language models like ChatGPT, Claude, and Gemini frequently hallucinate Schema.org properties — they invent property names that don't exist, nest objects incorrectly, use wrong data types (string vs. array vs. object), omit required fields, or generate invalid JSON syntax. A single trailing comma or misspelled property name (datepublished instead of datePublished) silently disqualifies your page from rich results without any visible error. This tool eliminates that entire class of mistakes by assembling valid JSON with correct property names and proper nesting — guaranteed valid output every time. AI systems cannot count brackets or validate against Schema.org vocabulary. We can.
How It Works
First, select the type of page you're building (Homepage, Blog, Product, etc.) — the tool recommends which schema types you need together. Switch between schema type tabs to fill in each section. Each field shows whether it's required or recommended. The output preview updates in real time. Enable "@graph Mode" to combine all schemas into a single JSON-LD block with cross-referencing @id values. Copy the result as raw JSON-LD or as a complete HTML script tag, then validate with Google's Rich Results Test before deploying.
Schema Types Explained
- Organization — Essential for every website. Tells search engines your company name, logo, and social profiles. Powers the Knowledge Panel in Google.
- WebSite — Enables the Sitelinks Search Box in Google results. Should be on every site's homepage.
- BreadcrumbList — Replaces ugly URLs in search results with clean breadcrumb navigation (Home > Category > Page).
- Article/BlogPosting — Required for blog posts and news articles. Enables article rich results, Top Stories carousel, and headline display.
- Product — Shows price, availability, and star ratings directly in search results. Required for e-commerce rich results.
- LocalBusiness — Powers local pack results and Google Maps listings. Includes address, phone, hours, and geo coordinates.
- FAQPage — Creates expandable Q&A sections in Google Search (currently restricted to government/health sites for rich results, but still valuable for AI systems).
- HowTo — Shows step-by-step instructions with images and estimated time directly in search results.
- Event — Displays event dates, locations, and ticket info in search. Powers event rich results.
- Person — Creates personal Knowledge Panels with bio, job title, social profiles, and affiliations.
Best Practices
- Validate every time: Always run your schema through Google's Rich Results Test before deploying. The tool validates required fields, but Google's test confirms rich result eligibility.
- Match visible content: Your schema markup must reflect what's actually visible on the page. Declaring a product price of $49.99 in schema while showing $59.99 on the page violates Google's policies and can trigger manual actions.
- Use @graph for multiple types: When your page has multiple content types (e.g., an article with breadcrumbs and FAQ), use @graph mode to combine them into one structured data block with proper @id references.
- Keep it current: Update dates, prices, and event info in both your visible content AND your schema markup whenever they change. Outdated schema is worse than no schema.
- One type per purpose: Each schema type serves a distinct purpose. Don't mark up a product page as Article — use Product schema. Match the schema type to the actual content type.
Schema.org vs Google Rich Results
Schema.org defines over 800 types, but Google only renders rich results for about 35 of them. This generator focuses on the types that matter most: the ones Google actively uses for rich results and the ones AI systems (ChatGPT, Perplexity, Gemini) parse most reliably. All generated output is valid against both Schema.org vocabulary and Google's structured data guidelines. After generating, always use Google's Rich Results Test to confirm rich result eligibility — passing Schema.org validation does not guarantee Google will show a rich result.
Frequently Asked Questions
What is JSON-LD and why should I use it?
JSON-LD (JavaScript Object Notation for Linked Data) is Google's recommended format for structured data. Unlike Microdata and RDFa, which scatter attributes throughout your HTML, JSON-LD lives in a single <script type="application/ld+json"> block in your page head. This makes it easier to add, maintain, and debug — and it cannot accidentally break your page layout. All major search engines (Google, Bing, Yahoo, Yandex) and AI platforms (ChatGPT, Perplexity, Gemini, Claude) parse JSON-LD.
Which schema types does this tool support?
This generator supports 10 schema types: Organization, WebSite, BreadcrumbList, Article/BlogPosting, Product, LocalBusiness, FAQPage, HowTo, Event, and Person. These cover the most commonly used types that trigger Google rich results and are parsed by AI systems. For less common types (like Recipe, VideoObject, Course, etc.), we recommend starting with a supported type and editing the output JSON manually.
What is @graph mode and when should I use it?
@graph mode combines multiple schema types into a single JSON-LD block using Schema.org's @graph array. This is the recommended approach when a page has multiple content types (e.g., a blog post with Organization + BreadcrumbList + Article). The tool generates unique @id values for each entity and references them correctly. For simple pages with just one schema type, @graph mode is optional but still recommended for future flexibility.
What are required vs. recommended fields?
Required fields (marked with *) are the minimum properties Google needs to render a rich result for that schema type. If you omit a required field, the page is ineligible for that rich result. Recommended fields (marked with recommended) improve the quality of the rich result and increase the likelihood that Google displays it. The tool highlights both and prevents you from generating with missing required fields.
Is this tool free to use?
Yes, completely free. No signup, no usage limits, no hidden features. Everything runs in your browser — your data never leaves your device. 100% private. Generate unlimited schema markup for any website or page at no cost.
How does schema help with AI discoverability (GEO)?
AI systems like ChatGPT, Perplexity, Gemini, and Claude parse schema.org structured data to understand page content. Pages with clean, complete JSON-LD are significantly more likely to be cited as sources in AI responses. Schema markup provides explicit entity definitions (who wrote it, when it was published, what it's about) that AI systems use for attribution and context. This is often called Generative Engine Optimization (GEO) — optimizing for AI discovery in addition to traditional search engines.
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