Our free schema markup generator creates valid JSON-LD structured data for FAQ, Article, LocalBusiness, Product, HowTo, Organization and more in seconds. Fill in the fields, copy the code, and win rich results and AI citations — no coding, no signup.
Turn a few form fields into valid, copy-paste JSON-LD structured data that Google and AI engines can read — in four steps, no code.
Choose FAQ, Article, LocalBusiness, Product, HowTo, WebSite, Organization or Breadcrumb from the tabs.
Enter your details. The JSON-LD builds live on the right as you type — add or remove FAQ rows freely.
One click copies a clean, valid <script type="application/ld+json"> block ready to paste.
Paste it into your page or Rank Math's custom schema, then confirm with Google's Rich Results Test.
Schema markup — also called structured data — is a standardized code format (usually JSON-LD) that tells search engines what your content means, not just what it says. A schema markup generator writes that code for you so you don't have to author it by hand.
With schema in place, Google can show rich results — star ratings, FAQs, prices, breadcrumbs — and AI engines like Google AI Overviews, ChatGPT and Perplexity can parse and cite your content far more reliably. It's one of the fastest, highest-leverage ways to improve both search and AI visibility.
There are three ways to add structured data — JSON-LD, Microdata and RDFa — but Google explicitly recommends JSON-LD, and that's what this JSON-LD generator produces. Unlike the older formats, JSON-LD sits in a single tidy script block instead of being tangled through your HTML.
<script> block — easy to add and maintainStructured data is now a core part of Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) — the practice of getting your pages quoted inside AI answers.
When ChatGPT, Perplexity or a Google AI Overview builds an answer, it needs to quickly understand which part of your page answers the question. Schema markup hands the machine that answer on a plate. FAQ and HowTo schema in particular map cleanly to the question-and-answer shape of AI responses, which is why marked-up pages are cited disproportionately often.
Direct answer: Schema markup doesn't rank you higher on its own, but it makes your content machine-readable — so answer engines can extract, trust and cite it. Pair clear FAQ/Article schema with genuinely helpful content and you dramatically raise your odds of being the source an AI quotes.
We go deep on this in our guides to getting cited by ChatGPT and the difference between AEO and SEO — both start with a machine-readable page, and schema is step one.
Classic SEO optimizes for a ranked list of blue links. GEO optimizes to be the answer itself. Entities, relationships and explicit facts — exactly what schema encodes — are what large language models lean on when they decide what's true and who to credit.
Once you've generated and published your schema here, the natural next step is to check whether AI engines actually surface your pages. Our sister tool, the AI Overview Checker by H&U Solutions, scores how ready a URL is to appear in Google AI Overviews — a useful companion to this generator.
Want this handled end to end? Our technical SEO team implements structured data, entity optimization and GEO as part of every audit.
Match the schema type to the job of the page. Here's the quick reference our team uses.
| Page / content | Use this schema | What it unlocks |
|---|---|---|
| Q&A blocks, help pages | FAQPage | FAQ rich results + top format cited in AI answers |
| Blog posts & guides | Article | Author, dates & E-E-A-T signals in search |
| Local / service business | LocalBusiness | Local pack, maps & knowledge panel data |
| Shop & product pages | Product | Price, availability & review stars |
| Step-by-step tutorials | HowTo | Step-based rich results & AI how-to citations |
| Homepage / brand | Organization + WebSite | Brand entity, knowledge panel & sitelinks search box |
| Any deep page | BreadcrumbList | Clean site-path breadcrumb in the snippet |
Generated your JSON-LD above? Here's how to get it live and validated in four steps.
Pick your type above, fill the fields, and copy the JSON-LD block.
Use a Custom HTML block, your theme's header/footer scripts, or Rank Math's custom-schema field.
Don't ship the same schema twice — if Rank Math already outputs Article/FAQ for that page, use only one source.
The errors that get rich results ignored — or trigger warnings in Search Console.
Schema must reflect content actually visible on the page. FAQ schema for questions a user can't see is a guideline violation.
Outputting the same FAQ or Article schema from both your plugin and a manual block confuses parsers. Keep one source of truth.
Product without an offer, or Article without a headline, won't earn rich results. Fill every required property.
A single stray comma breaks the whole block. Always run the Rich Results Test before and after publishing.
The vocabulary around schema, without the jargon.
Everything you need to know about structured data, JSON-LD, and rich results.
Ship valid FAQ, Article and Product schema across client sites in minutes — and win rich results without touching raw code.
Grab clean, valid JSON-LD to drop into a template or component, then validate — no need to memorize the Schema.org vocabulary.
Make your content eligible for FAQ snippets and AI citations without hiring a developer or learning to code.
The practical playbook for becoming a source AI engines quote.
Where answer-engine optimization diverges from classic SEO.
How the emerging standard connects your site to AI agents.
The official guidance schema should always sit on top of.
External ↗Related free tool from our network: AI Overview Checker by H&U Solutions ↗
Every tool is free — no signup. Generate your schema here, then round out your technical SEO with the rest.
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