FAQ schema (the FAQPage type in schema.org) marks up a list of questions and answers in a machine-readable format, so search engines and AI systems can parse them directly rather than inferring Q&A pairs from unstructured page text.
Why it matters for AI search: AI assistants answering user questions often prefer content that's already structured as a direct question-and-answer pair — it's the exact shape their output takes. Clearly marked-up FAQs make it easier for a model to extract a precise answer to cite, rather than having to summarize a paragraph of prose. It also remains one of the more reliable structured data types for search engines to parse consistently.
How this tool works: add your questions and answers in the form on the left — the live preview and generated JSON-LD update as you type. Only fully filled-in Q&A pairs (both question and answer non-empty) are included in the output. Switch to the JSON-LD tab to see the full <script type="application/ld+json"> block, ready to copy or download and paste directly into your page.
Limitations: this tool generates the markup only — it's your responsibility to keep it in sync with the actual visible FAQ content on the page, and to place it on the correct page. It doesn't crawl your site or check for duplicate FAQ schema across pages. Google narrowed eligibility for the FAQ rich-result visual treatment in search in 2023 (see our guide, linked below, for details), but the schema remains a legitimate, low-cost way to help both search engines and AI assistants understand your content's Q&A structure.