FAQPage Schema is a JSON-LD structured data type that labels question-and-answer content on a page, telling search engines and AI crawlers exactly which text is a question and which text is its answer.
Why it matters
AI answer engines are built to retrieve short, self-contained answers, and FAQPage markup hands them exactly that: a clean question paired with a clean answer, machine-readable and ready to quote. Since Google restricted FAQ rich results to a narrow set of sites in 2023, the classic SERP benefit has shrunk, but the markup still helps LLM-driven retrieval understand your content's structure. For a SaaS founder working on generative engine optimization, it is one of the cheapest structured signals you can ship, and it pairs naturally with an answer-first writing style.
How to use it
- Add FAQPage JSON-LD to pages with genuine Q&A sections (pricing pages, docs, comparison pages) and make sure the markup mirrors the visible on-page text exactly.
- Write each answer as a standalone passage of 40-80 words that makes sense with zero surrounding context, that is what gets lifted into AI citations.
- Combine it with broader schema markup (Organization, BlogPosting) so engines can connect the answers to a clearly identified entity.
Related terms
Paul-Marie is the founder of Readyt, the Reddit growth platform for SaaS. He has generated 16K€+ in pre-sales in 2 months using nothing but Reddit, and now helps founders turn Reddit threads into their #1 acquisition channel.
