Schema Markup Generator
Create valid JSON-LD structured data for common schema types. Everything runs in your browser — nothing is sent to a server.
What is schema markup?
Schema markup (structured data) is code you add to a webpage that helps search engines and AI systems understand the content more clearly. It uses the vocabulary from Schema.org and is most often written as JSON-LD (a block of JavaScript Object Notation for Linked Data). When done correctly, it can make a page eligible for rich results in Google and make the content easier for answer engines and large language models to extract and cite.
Why schema markup matters for SEO and GEO in 2026
Traditional search engines use structured data to decide whether a page qualifies for enhanced listings (such as article carousels, product snippets, or organization knowledge panels). AI answer systems and generative engines also benefit from clear, machine-readable signals about what a page is about, who published it, and which questions it answers. Adding accurate schema is one of the practical steps in both classic SEO and Generative Engine Optimization (GEO).
Important: markup must accurately describe content that is visible on the page. Google and other systems may ignore or penalize mismatched or spammy markup. Always validate your output.
How to use this Schema Markup Generator
1. Choose the schema type that best matches your page (Article for blog posts, FAQPage for question-and-answer sections, Organization for your company, Product for items you sell, LocalBusiness for a physical location).
2. Fill in the fields that appear. Use real information that appears on the page.
3. Copy the generated JSON-LD or download it as a file.
4. Paste the code into a <script type="application/ld+json"> tag in the <head> (or just before </body>) of the matching page.
5. Test with Google’s Rich Results Test and the Schema.org Validator.
Common schema types explained
- Article / BlogPosting — For blog posts and editorial content. Helps with authorship, publish dates, and images.
- FAQPage — Marks up visible questions and answers. Useful for AI extraction even when Google no longer shows FAQ rich results for many queries.
- Organization — Describes your company or brand. Often placed on the homepage or about page.
- Product — For product pages, including name, description, image, and offers when relevant.
- LocalBusiness — For businesses with a physical address, phone number, and opening hours.
How to interpret and test the results
The generated code is a starting point. Review it carefully, make sure every property matches visible content, then paste it on the page. Open Google’s Rich Results Test, enter the URL (or paste the code), and check for errors or warnings. Also use the Schema Markup Validator at validator.schema.org. Fix any issues before relying on the markup.
Common mistakes to avoid
- Marking up content that is not visible on the page.
- Using the wrong type (for example, marking a category page as a single Product).
- Leaving required or recommended properties empty or inaccurate.
- Duplicating conflicting schema blocks on the same page.
- Forgetting to re-validate after content changes.
Frequently asked questions
Does schema markup improve rankings?
Not directly. It helps search engines understand the page and can make the page eligible for rich results, which may improve click-through rate. For AI systems it improves extractability and citation potential.
Where do I put the JSON-LD code?
Inside a script tag with type application/ld+json, usually in the head or just before the closing body tag of the page the markup describes.
Can I use multiple schema types on one page?
Yes, when each accurately describes different visible content (for example Article + BreadcrumbList, or Product + Offer).
Is FAQ schema still useful in 2026?
Yes for AI and answer engines. Google stopped showing many FAQ rich results in May 2026, but the markup remains valid and helps machines extract clear Q&A pairs.
Read the guide
What Is Schema Markup and How to Add It for SEO and GEO
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