Full Definition
FAQPage schema is a structured data type, implemented in JSON-LD, that marks up a webpage's question-and-answer content in a machine-readable format. Each question and its corresponding answer are explicitly labeled, allowing search engines and AI platforms to extract them individually rather than parsing unstructured body copy.
In traditional search, FAQPage schema has been used to generate rich results, displaying individual Q&A pairs directly in search results pages. In AI-powered search, its role shifts: it becomes a signal that specific, structured answers exist on a page, making that content more accessible to retrieval systems.
For AEO, FAQPage schema is valuable because AI platforms frequently answer questions by synthesizing content from multiple sources. A page with clearly marked question-and-answer pairs gives an AI a clean, extractable unit of information. The AI does not have to infer where the question ends and the answer begins — the markup does that work explicitly.
FAQPage schema is most effective when the questions it marks up reflect the actual questions buyers ask AI tools. This connects directly to the Prompt Map concept: if you know which questions your buyers type into ChatGPT or Gemini, and your FAQ section addresses those questions directly with structured markup, you have created a high-probability citation target. The combination of relevance, directness, and machine-readable structure is what earns AI inclusion.