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FAQ Schema Builder

Generate FAQPage JSON-LD schema for Google rich results with FAQ accordions

Generate FAQs with AI

Enter a topic and let AI generate relevant FAQs optimized for rich results

FAQ Items (0 valid, min 2 required)

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Add at least 2 complete Q&A pairs to generate the schema

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What Is FAQ Schema and How Does It Affect Search Results?

FAQPage schema is a type of JSON-LD structured data that marks up a page containing frequently asked questions and their answers. When implemented correctly, it enables expandable Q&A rich snippets directly in Google search results — giving your listing significantly more visual real estate on the SERP.

Pages with FAQ rich results can occupy two to three times the vertical space of a standard listing, pushing competitors further down the page. This increased visibility translates to measurably higher click-through rates (CTR), especially for informational and commercial queries.

Beyond traditional search, FAQ schema also helps AI systems like ChatGPT, Google AI Overviews, and Perplexity directly extract Q&A pairs from your content. When your FAQs are structured with proper schema markup, AI models can parse and cite your answers more reliably, increasing the chance your site is referenced in AI-generated responses.

How Does FAQ Schema Help AI Search Results?

AI search systems actively parse structured data to extract direct answers for user queries. FAQ schema provides a clean, machine-readable format that makes it easy for AI models to identify question-answer pairs and match them to user intent.

Direct Answer Extraction

Well-structured Q&A pairs in FAQ schema map directly to how users phrase queries. AI systems can extract your answer verbatim and attribute it to your page, rather than attempting to summarize unstructured content.

AI Overviews and Cited Sources

FAQ rich results are surfaced in Google AI Overviews, and Perplexity frequently cites FAQ content when answering questions. Pages with FAQ schema are more likely to appear as cited sources in AI-generated summaries.

Optimize for "People Also Ask"

Write your FAQ questions using the same patterns found in Google's "People Also Ask" boxes. Questions starting with "What is," "How do," "Why does," and "Can I" match the query patterns AI systems prioritize. This maximizes the chance your FAQ content is picked up by both traditional and AI search.

What Are the Requirements for FAQ Schema?

Google enforces specific guidelines for FAQ schema eligibility. Meeting these requirements is essential for your FAQPage markup to qualify for rich results:

  • Minimum 2 Q&A pairs — Your page must contain at least two complete question-and-answer pairs to be eligible for FAQ rich results.
  • Maximum 20 Q&A pairs recommended — While there is no hard technical limit, Google recommends keeping FAQ schema to around 20 pairs for optimal display and performance.
  • Questions must be genuine — Each question should represent a real question that users actually ask. Avoid promotional or misleading questions that do not serve the user.
  • Answers should be complete — Provide full, helpful answers that address the question directly. Partial answers or answers that require clicking through reduce rich result eligibility.
  • Content must match the visible page — The FAQ content in your schema markup must exactly match what is visible on the page. Hidden or mismatched content violates Google's guidelines.
  • Do not use for terms and conditions — FAQ schema should not be applied to legal pages, terms of service, or privacy policies. It is reserved for genuinely informational FAQ content.
  • Include questions your customers actually ask — Review your support tickets, search console queries, and "People Also Ask" results to identify the questions real users are searching for.

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