Free FAQ Schema (JSON-LD) Generator
Turn your questions and answers into FAQPage markup AI engines can cite.
FAQ schema makes your answers machine-readable so AI answer engines can extract and cite them. Add your questions and answers, then copy the FAQPage JSON-LD.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "Do your shoes run true to size?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Yes — our runners fit true to size. If you're between sizes, size down half a size."
}
},
{
"@type": "Question",
"name": "What's your return policy?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Free returns within 30 days, worn or unworn."
}
}
]
}
</script>Only mark up FAQs that actually appear on the page. AI answer engines parse FAQPage to extract and cite your answers.
Frequently asked questions
What is FAQ schema?
FAQ schema (FAQPage JSON-LD) is structured data that marks up a list of questions and their answers. While Google has limited FAQ rich results, AI answer engines still parse FAQPage markup to pull and cite direct answers.
Is FAQ schema still worth adding in 2026?
Yes — as an AEO play more than a rich-result play. Answer engines like ChatGPT and Perplexity favor clearly structured Q&A, and FAQPage markup makes your answers easy to extract and attribute.
Where should I add it?
On pages that actually display the FAQs — product pages, a help/FAQ page, or buying guides. The visible content must match the markup.
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