Schema Markup Generator
Generate valid JSON-LD structured data for your pages in seconds. Select a schema type, fill in your details, and copy the ready-to-paste script block.
Fill in at least one field above to generate your schema markup.
What Is Schema Markup?
Schema markup is structured data embedded in your page's HTML that describes its content in a vocabulary search engines and AI systems already understand. It is defined by Schema.org, a collaborative vocabulary created and maintained by Google, Microsoft, Yahoo, and Yandex. When you mark up a product page with Product schema, or a help page with FAQPage schema, you are translating your content from human-readable text into a machine-readable format that enables rich search results, knowledge graph entries, and AI-powered answer extraction.
If your site needs schema implemented as part of a broader SEO build, our SEO and GEO service covers technical structured data alongside on-page and authority building.
Why Structured Data Matters for SEO and AI Search
In traditional search, correct schema enables rich results: star ratings below product listings, FAQ accordion boxes in the snippet, breadcrumb paths instead of raw URLs. These features lift click-through rate without requiring a higher ranking position.
In AI-powered search, the stakes are higher. Generative answer engines and large language models used in products like Google's AI Overviews, Bing Copilot, and standalone AI assistants parse structured data to extract factual answers. A page with clean, valid schema is more likely to be cited accurately than one where the engine has to guess at the meaning of the content.
This is the core of Generative Engine Optimization (GEO): structuring your content and its metadata so that machines, not just humans, can read and repeat it with confidence. Schema markup is one of the most direct levers available.
JSON-LD vs Microdata
A standalone script block in the page head, entirely separate from the visible HTML. Easy to add, edit, and validate. Google's recommended format and the one used by this generator.
Attributes added directly to HTML elements. Tightly coupled to your markup, which makes it harder to maintain and harder to reuse across templates. Still supported, but not recommended by Google for new implementations.
JSON-LD is the right choice for virtually all new implementations. It does not require any change to your visible HTML, works with any CMS, and passes through Google's parsers reliably.
Schema Types and When to Use Them
- FAQPageYour page has a list of questions with answers. Google displays these as expandable dropdowns in the search result.
- OrganizationYour homepage or about page represents a company. Establishes your brand identity in the Knowledge Graph.
- LocalBusinessYou have a physical location that customers visit. Feeds business hours, address, and map coordinates to Google.
- ProductYou sell a physical or digital product. Enables price, rating, and availability to appear in Shopping and organic results.
- ArticleYou publish blog posts, news, or editorial content. Supports Top Stories eligibility and byline display.
- BreadcrumbListYou want your site's navigation hierarchy to display in the search snippet URL line.
How to Add Schema to Your Site
The JSON-LD block this generator produces is a complete, self-contained script tag. Adding it to your site is a three-step process.
<head> ... <script type="application/ld+json"> ... </script> ... </head>
Place one block per schema type. Multiple blocks on the same page are allowed, each in its own script tag.
For WordPress, use a plugin such as WPCode or your theme's header injection field. For Shopify, use the theme.liquid head section. For Next.js and other React frameworks, render the script tag in the layout's head with dangerouslySetInnerHTML.
How to Use This Schema Generator
- 01Select the schema type that matches your page content using the type selector in the tool below.
- 02Fill in the fields. Required fields are always visible. Optional fields such as rating or opening hours appear where the schema type supports them.
- 03Copy the generated JSON-LD snippet using the Copy button. The output is a complete script block ready to paste.
- 04Paste the snippet inside the <head> element of your page, or use your CMS's custom code field.
- 05Validate the markup with the Google Rich Results Test to confirm it is error-free and check which rich results it qualifies for.
Frequently Asked Questions
What is schema markup?
Schema markup is structured data you add to your HTML to help search engines and AI systems understand the content on your page. It uses the Schema.org vocabulary and is most commonly implemented as JSON-LD in the page head.
Does schema markup improve rankings?
Schema markup is not a direct ranking factor. It enables rich results in Google Search, such as FAQ dropdowns, star ratings, and breadcrumbs, and it helps machine-understanding systems and AI answer engines read your content accurately. Those benefits can lift click-through rate and visibility without changing your organic position directly.
What is JSON-LD?
JSON-LD stands for JavaScript Object Notation for Linked Data. It is Google's recommended format for adding structured data to a page. The code sits in a script tag in the page head, separate from your HTML, which makes it easy to add and maintain without touching the visible content.
Where do I put the schema code?
Paste the JSON-LD script block inside the <head> element of your page, or just before the closing </body> tag. Add one block per schema type per page. If you use a CMS such as WordPress or Shopify, look for a custom code or header injection field.
How do I test my schema?
Use Google's Rich Results Test at https://search.google.com/test/rich-results to check whether your schema is valid and which rich results it qualifies for. You can also use Schema.org's validator at https://validator.schema.org for a broader syntax check.
Schema is one piece of a complete SEO system.
We build structured data, on-page optimization, and authority signals together so your site ranks and gets cited by AI systems. From audit to implementation.