Free tool
FAQ schema generator
Enter your question and answer pairs and get valid FAQPage JSON-LD to paste into the page. The markup gives search and answer engines a machine-readable version of questions you already answer, in the exact shape people ask them. Below the tool: what FAQ schema still earns you in 2026, and what it stopped earning in 2023.
Question 1
faq-schema.html
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "Your question?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Your answer."
}
}
]
}
</script>
What FAQ schema still earns you
Set expectations first. In August 2023 Google restricted FAQ rich results, the expandable question dropdowns under search listings, to well-known government and health sites. For everyone else, FAQPage markup stopped producing that visual treatment in Google. Any tool selling FAQ schema as a rich results shortcut is describing 2021.
The markup still has a job. It labels each question and answer as a discrete, self-contained unit, which is exactly the format answer engines work with. A buyer asks ChatGPT something, and the engine looks for passages that resolve it directly. A page with clearly delimited questions and forty-word answers is easier to parse, quote and attribute than the same information buried in prose. Bing also continues to use FAQ markup in some result types.
How to use the output
Paste the generated script tag into the head or body of the page that visibly shows the same questions and answers. That matching matters: Google's guidelines require marked-up content to be present on the page, and hidden or mismatched markup can earn a manual action.
Keep each answer self-contained at roughly 40 to 80 words, so it makes sense when lifted out of context. Validate the result with Google's Rich Results Test or the Schema.org validator before shipping. Use one FAQPage block per page, and pick the page where those questions genuinely belong, usually a product, pricing or support page.
Honest limits
Markup describes content. It cannot rescue answers that dodge the question, and it carries no ranking boost on its own. Whether large language models read JSON-LD directly is also unsettled; most evidence suggests they mainly consume rendered text, with structured data helping crawlers and the retrieval systems in between understand and segment the page.
So write the answers first and treat the schema as packaging. The payoff question is downstream: when your buyers ask these questions to an AI assistant, does the answer name you? Reachroller measures exactly that, with a free 3-day trial and plans from $29 a month.
Frequently asked questions
Where do I paste the JSON-LD?+
Inside a script tag with type application/ld+json, anywhere in the head or body of the page that displays the same questions and answers. Most CMS platforms have a custom code or embed field per page. Ship it, then confirm with Google's Rich Results Test that the markup parses and matches the visible content.
Will FAQ schema get me dropdowns in Google results?+
Almost certainly not. Since August 2023 Google limits FAQ rich results to well-known government and health websites. Bing still shows FAQ treatments in some cases. The remaining value is machine readability: cleanly delimited questions and answers that crawlers and answer engines can parse and quote without guessing where one ends.
Do AI engines like ChatGPT read FAQ schema?+
Indirectly at best. Models mostly work from rendered page text, while structured data helps the crawling and retrieval systems that feed them segment your content. The safer bet is that the format wins either way: a real question followed by a direct, self-contained answer is quotable with or without the markup.
How many questions should one page mark up?+
Mark up the questions the page genuinely answers, typically three to eight. Padding a page with thin questions dilutes it for readers and adds nothing for machines. If you are unsure which questions matter, start from what buyers actually ask AI assistants in your category and answer those on the most relevant page.
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