FAQPage Schema
FAQPage schema is a Schema.org structured data type that marks up question-and-answer content in a machine-readable format, enabling search engines and AI systems to directly extract and display FAQ pairs. It is one of the most impactful schema types for AI visibility, as it directly packages content in the Q&A format preferred by AI answer engine retrieval.
Why It Matters
AI answer engines preferentially retrieve content structured as direct question-answer pairs. FAQPage schema makes this structure explicit and machine-readable, increasing the probability that your Q&A content is selected as the source for AI-generated answers. It is a high-leverage, low-effort AI SEO implementation.
How It Works
FAQPage schema is implemented as JSON-LD on pages containing FAQ content. Each question is defined as a Question entity with an acceptedAnswer property. AI crawlers parse these structured Q&A pairs and store them as retrievable knowledge units. Google also uses FAQPage schema to generate rich results in traditional search.
Use Cases
- Marking up product FAQ sections to appear in AI shopping assistant responses
- Structuring support knowledge base articles for AI chatbot retrieval
- Adding FAQ schema to service pages to capture informational AI queries
- Implementing FAQPage schema on blog posts to create structured answer units
- Building dedicated FAQ pages optimized for high-frequency AI search queries
Best Practices
- Write FAQ questions in the exact natural language phrasing users submit to AI systems
- Keep answers concise (40–100 words) and directly responsive to the question
- Include 5–10 high-quality Q&A pairs per page rather than dozens of thin answers
- Ensure all FAQ content is visible to users, not just in schema
- Target questions that reflect actual high-frequency prompts in your category
- Update FAQ schema regularly to reflect new user questions and content changes
Frequently Asked Questions
Does FAQPage schema still work after Google reduced FAQ rich results? +
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