Generate valid JSON-LD FAQPage structured data for your website. FAQ schema helps search engines and AI models surface your answers as rich results. Add your questions and answers below, generate the markup, and paste it into your page's HTML head section.
Add your question and answer pairs (up to ten) and the generator builds a valid FAQPage block in JSON-LD, wrapped in a <script type="application/ld+json"> tag and ready to copy. Each pair becomes a Question with an acceptedAnswer, following the schema.org structure that search engines and AI assistants look for.
The markup is generated in your browser from exactly what you type, so it is a faithful representation of your own Q&A. Validate it with the Google Rich Results Test (linked in the tool) to confirm it parses cleanly before you ship it.
When ChatGPT, Gemini, Claude, or Perplexity answer a question, they favor sources where the answer is clearly delimited and unambiguous. FAQPage schema does exactly that: it tells a machine precisely which string is the question and which is the answer, with no parsing guesswork. That makes your Q&A simpler to extract, attribute, and quote, which is the first step toward being the source an assistant cites.
The same markup feeds traditional rich results in Google, so a single, accurate FAQPage block works across both search and AI surfaces. The catch is honesty: the markup only helps when it mirrors real, visible content. Schema that describes answers a visitor cannot find on the page tends to be discounted, so write the on-page FAQ first and generate the schema from it.
FAQPage is a schema.org type, written as JSON-LD, that labels a list of questions and answers so machines can read them unambiguously. Instead of a model guessing which text on your page is a question and which is the answer, the markup states it directly: this is the question, this is the accepted answer.
Yes. The questions and answers in your markup must reflect content that is actually visible on the page. Marking up Q&A that a visitor cannot see is against schema.org and search guidelines and can get your structured data ignored. Generate the schema from your real on-page FAQ content.
Inside the HTML of the page the FAQ lives on. The script tag can sit in the head or the body; both are valid for JSON-LD. Add it to the specific page whose questions it describes, not site-wide.
Paste your page URL or the markup into Google's Rich Results Test (linked from the tool). It reports whether the FAQPage block parses and is eligible, and flags any required fields you are missing.
Cover the questions buyers actually ask, written in their words, with direct answers. A handful of genuinely useful Q&A pairs that mirror real on-page content beats a long list of thin or duplicated entries. This generator supports up to ten.
Combine this with the other free AI visibility tools: make sure crawlers can reach your pages with the robots.txt checker, give them a site summary with the llms.txt generator, and test real buyer questions in the AI Search Simulator. To track how the four models recommend your brand over time, run a free Scorecard or see pricing.