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Generate ready-to-paste JSON-LD for FAQPage, HowTo, Article, Product, Service, Organization, and BreadcrumbList. Built for AI search engines, not just Google rich results.
Q&A pairs (rich-result eligible)
All required fields are filled.
Your JSON-LD is generated below — copy and paste into your page's <head>.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "What is structured data?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Structured data is a standardised vocabulary (schema.org) that tells search engines and AI systems what a page is about, in machine-readable JSON-LD."
}
},
{
"@type": "Question",
"name": "Does schema markup help AI search?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Yes — AI engines like ChatGPT, Perplexity, and Gemini rely heavily on structured data to extract facts and cite sources accurately."
}
},
{
"@type": "Question",
"name": "Where do I paste the generated code?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Paste the entire <script> block inside the <head> of your HTML page (or in your CMS schema field)."
}
}
]
}
</script>FAQPage markup is one of the highest-leverage signals for AI search. ChatGPT, Perplexity, and Gemini routinely lift Q&A pairs verbatim when answering user queries — clean structured FAQs make your page the citation source. Google also surfaces FAQ rich results in SERPs (when applicable). Keep questions natural-language and answers self-contained: AI engines need each Q&A to make sense without surrounding context. Avoid duplicating standard FAQs across many pages — search engines deduplicate aggressively.
Choose from FAQPage, HowTo, Article, Product, Service, Organization, or BreadcrumbList based on what your page is about.
Each type has a tailored form with the required fields marked. Defaults are pre-filled so you can edit rather than start from scratch.
Required fields, valid URLs, and ISO dates are checked as you type. Generation is blocked until everything passes.
Click Copy to grab the full <script type="application/ld+json"> block. Paste it into your page's <head> and you're done.
JSON-LD is the Google-recommended format for structured data. It's a small block of JSON pasted into a page's <head> that tells search engines and AI systems exactly what the page is about — its FAQs, products, articles, organisation details, breadcrumbs, etc. Done well, it improves both traditional rich-result eligibility and AI-search citations.
Seven of the most-used types: FAQPage, HowTo, Article, Product, Service, Organization, and BreadcrumbList. Together they cover the majority of B2B, e-commerce, and content sites. Less common types like Recipe, Event, JobPosting, LocalBusiness, and Review are on the roadmap.
Each type ships with an inline explainer of why it matters for AI engines like ChatGPT, Perplexity, Google AI Overviews, and Gemini. The defaults follow modern best practice: Article includes Person + Organization sub-types, Product splits Brand from Offer, Organization includes founder + sameAs (the entity-graph signals AI engines actually cite).
Inside the <head> of your HTML page. If you use a CMS like WordPress, Webflow, or Shopify, paste it into the page's schema/custom-head field. In Next.js, use a <script type="application/ld+json"> tag in your page component (with dangerouslySetInnerHTML).
No. The entire generator runs in your browser. There's no server call, no analytics on your inputs, no LLM behind the scenes. The JSON-LD is built locally with deterministic JavaScript and copied to your clipboard via the standard browser API.
Paste the generated JSON-LD into Google's Rich Results Test (search.google.com/test/rich-results) or the schema.org validator. Both tools will flag any structural issues. Our generator handles the common pitfalls — missing @context, wrong @type nesting, position indexes — out of the box.
Schema markup is one piece of an AI-search strategy. Our SEO team audits your full structured-data coverage, entity graph, and citation surface across ChatGPT, Perplexity, Gemini, and Google AI Overviews — and ships the fixes.
Get an AI-search SEO auditWe implement structured data and AI-search optimisation for SaaS, e-commerce, and content sites — programmatically, at scale, with ongoing monitoring.