The FAQ schema opportunity
FAQ schema appears in 78% of AI-cited pages. This isn't coincidence — it's causation. AI engines prefer structured Q&A content because it's easy to parse, verify, and cite directly.
When an AI engine needs to answer a user's question, it looks for sources with clear Q&A structure. Pages with FAQ schema provide that structure in machine-readable format. Pages without it require the AI to infer where answers exist — which introduces uncertainty.
How to implement FAQ schema correctly
FAQ schema goes in your page's head as JSON-LD. The structure is: FAQPage type with mainEntity array of Questions. Each question has a name and acceptedAnswer with text. Simple, but the details matter.
Common mistakes: wrong schema type (QAPage instead of FAQPage), missing visible content (schema exists but no H2/H3 headings match), fragments in answers (AI engines prefer complete sentences), and stale content (schema and page content out of sync).
10 rules for FAQ content that AI cites
Lead with the question as a complete sentence. Keep answers to 2-3 sentences. One question per FAQ item. Write in the user's language. Answer the question in the first sentence. Use complete sentences. Include the keyword in the question. Match visible headings to schema names. Avoid promotional language. Update when content changes.
Validate before you launch
Use Google's Rich Results Test to validate your schema before deployment. Check that JSON-LD is in the head (not body), @type is FAQPage, all questions have name and acceptedAnswer, and visible content matches schema. Then track your AI citations to measure impact.