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FAQPage Schema for AI Citations

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FAQPage schema is a schema.org type that marks up question-and-answer content using a mainEntity array of Question objects, each with an acceptedAnswer; AI engines like Perplexity, ChatGPT, and Google AI Overviews use it to extract citable Q&A pairs even though Google deprecated the FAQ rich result in August 2023.

TL;DR

FAQPage is the schema.org type for pages whose primary content is a list of frequently asked questions. Use a mainEntity array of Question items with acceptedAnswer containing an Answer with text. Even after Google's 2023 rich-result deprecation for most sites, FAQPage markup continues to drive answer extraction in AI surfaces.

Definition

FAQPage is a subtype of WebPage defined by schema.org. It indicates that the entire page or a primary section consists of frequently asked questions and their answers. Each question is a Question object with one acceptedAnswer of type Answer (the canonical answer) and optional suggestedAnswer items (community contributions).

FAQPage is distinct from QAPage. FAQPage represents curated, authoritative Q&A authored by the page owner. QAPage represents community-driven Q&A where multiple users post answers to a single user's question. Mixing the two will fail validation.

Why FAQPage Still Matters After Rich Result Deprecation

In August 2023 Google narrowed FAQ rich results to a small set of authoritative health and government sites. Many teams concluded that FAQPage markup was no longer worth implementing. That conclusion is incorrect for AI search.

AI engines do not rely on Google's rich-result eligibility rules. Perplexity, ChatGPT browsing, Claude with web access, and Google AI Overviews all parse schema.org markup as part of their content ingestion pipeline. FAQPage gives them a structured list of citable claims with explicit question-answer pairing, which is more efficient to extract than free-form text. AI citation rates for FAQ content typically improve when FAQPage markup is present, because the markup removes ambiguity about which sentence answers which question.

How It Works

FAQPage markup is most reliably embedded as JSON-LD in a