FAQ Schema

FAQ schema implements the FAQPage type from Schema.org, typically as a JSON-LD block listing each Question with its acceptedAnswer. The markup must mirror visible page content — marking up Q&A pairs that users cannot see violates Google's guidelines. Google once showed expandable FAQ rich results widely, but since 2023 restricts them mainly to government and health sites; the markup itself remains valid and useful for machine understanding everywhere.

Implementation is simple: one FAQPage block per page, questions phrased as users ask them, answers as plain concise text without promotional filler.

AI search is conversational: users ask full questions, and engines retrieve passages that answer them. FAQ-formatted content is pre-aligned with this — each pair is a self-contained question and answer, exactly the unit retrieval systems want. The schema adds an explicit machine-readable layer on top, removing any ambiguity about which question each passage answers and improving how cleanly crawlers parse the page.

FAQ sections also let one page legitimately target many phrasings of related conversational queries — the long tail that AI assistants serve constantly but that rarely justified standalone pages in classic SEO.

Add genuine FAQ sections to product, comparison, and guide pages, sourcing questions from sales conversations, support tickets, and the actual prompts users ask AI engines about your category. Keep answers 40-70 words, direct, and standalone — each one is a candidate cited passage under passage ranking. Geonimo's prompt tracking reveals which real-world questions trigger competitor citations, giving you a data-driven FAQ backlog instead of guessed questions.