FAQ Schema
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FAQ schema (FAQPage structured data) is one of the highest-impact schema types for AI citation because it directly signals to AI systems that a page contains question-and-answer formatted content, which is exactly the format AI answer engines prefer for citation.
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FAQPage schema uses the schema.org FAQPage type with Question and Answer sub-types. Each question maps to a name property and each answer maps to an acceptedAnswer with a text property. The questions in FAQ schema should match the actual questions addressed on the page. AI systems read FAQ schema to identify candidate citations for specific user queries without parsing the full page content, making FAQ schema a direct optimization for AI retrieval. Pages with valid FAQ schema are indexed with their question-answer pairs mapped to query intents, improving citation probability for all matching queries.
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What is FAQ schema?
FAQ schema is structured data using the schema.org FAQPage type that marks up question-and-answer content on a web page. AI systems read FAQ schema to identify which queries a page can answer without parsing the full text. Valid FAQ schema with relevant questions directly improves AI citation probability for those query types.
How many FAQ items should I include?
Include 3-8 FAQ items per page, each addressing a distinct question a user might have about the topic. Questions should match how users actually phrase queries, not internal jargon. Each answer should be 1-4 sentences: specific, complete, and self-contained so it can be cited without the surrounding context.
Does FAQ schema still work after Google removed FAQ rich results?
Yes. Google removed FAQ rich results from standard SERP display but the schema continues to signal answer content to Google AI Overviews and other AI systems. FAQ schema is more valuable for AI citation than for traditional search rich results. Continue implementing it for AI visibility benefits.
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