Does adding FAQ schema help AI recommend you?

FAQ schema (FAQPage structured data) marks up your questions and answers in a format assistants can parse without guessing. It doesn't buy you trust on its own, but it makes your answers cleanly extractable — so when a model is assembling a response to a question you've already answered on-page, your wording is the easy, unambiguous thing to quote. Paired with genuinely useful answers to the questions buyers actually ask, it turns your page into a source AI can reuse word-for-word.

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FAQ

Does FAQ schema directly rank me higher in AI answers?Not directly — schema is an extraction aid, not a trust signal. What it does is remove ambiguity, so a model parsing your page gets a clean question-answer pair instead of having to infer one. Combined with content that genuinely answers the query, that makes your text the path of least resistance to quote.

What questions should my FAQ actually answer?The real ones buyers ask before choosing you — pricing logic, process, timelines, guarantees, what makes you different. Answer them plainly and specifically; vague marketing answers don't get quoted, concrete ones do.

How do I know if AI is using my content?Run a free Cited scan — it checks the AI-search readiness signals on your website (crawler access, llms.txt, structured data and answer-ready content) and lists the fixes to make first.

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