How-to4 min read
How to add FAQ schema for AI answers
A visible FAQ plus matching FAQPage structured data gives AI engines clean question-answer pairs they can lift directly. Here's how.
By Faraaz Khan
FAQ schema is `FAQPage` structured data that wraps your visible questions and answers in machine-readable form. It hands AI engines clean question-answer pairs they can lift directly, one of the highest-leverage AEO moves, because it matches the exact shape of how people query assistants.
Two rules that matter
- 1.The schema must match the visible page. Don't mark up answers users can't see, engines (and Google's guidelines) expect parity.
- 2.Write real questions in natural language: the way someone would actually ask an assistant, not keyword stuffing.
How to implement it
- Add a genuine FAQ section to the page with question-shaped headings.
- Add a `FAQPage` JSON-LD block whose questions and answers are identical to that visible text.
- Inline the JSON-LD in the server-rendered HTML so crawlers that don't run JavaScript still read it.
- Keep answers concise and self-contained, each should stand alone if lifted.
This page and our homepage both ship `FAQPage` schema built from the same copy you're reading. Run the checker to confirm your own FAQ schema is detected.
Frequently asked questions
Does FAQ schema help with AI answers?
- Yes. FAQPage structured data gives engines pre-formed question-answer pairs that map directly onto how users query assistants, making your content easy to lift and cite, provided the schema matches the visible text.
Can I add FAQ schema without showing the FAQ to users?
- You shouldn't. Best practice and search guidelines require the structured data to match content visible on the page. Hidden-only FAQ markup risks being ignored or penalized.