FAQPage Schema— definition

In one sentence

FAQPage Schema is the Schema.org schema used for FAQ (frequently asked questions) pages. It is the way to explicitly tell AI "this is a question and an answer" for Q&A-format information.

What does this look like in practice?

For example, suppose a health food company's FAQ page contains the question "What is the recommended daily intake of vitamin C?"

In plain HTML, the AI sees only "text." But with FAQPage Schema:

{
  "@type": "FAQPage",
  "mainEntity": [{
    "@type": "Question",
    "name": "What is the recommended daily intake of vitamin C?",
    "acceptedAnswer": {
      "@type": "Answer",
      "text": "100 mg is recommended for adults (Japan Ministry of Health, Labour and Welfare standard)."
    }
  }]
}

Now the AI structurally understands: "Question: recommended daily vitamin C intake? -> Answer: 100 mg."

As a result, when someone asks ChatGPT or Perplexity the same question, the probability of your FAQ page being cited rises significantly.

Why it matters (validated by GEO Meter data)

FAQ Schema is one of the measures expected to deliver strong impact in earning AI citations. Because AI search seeks "answers to questions," a structured FAQ tends to be prioritized as a direct citation source.

• AI search seeks "answers to questions" -> the FAQ structure aligns perfectly with that need
• Also displays favorably as a rich result in Google search
• Moderate implementation cost (if you already have a FAQ page, just add JSON-LD)

Common mistakes

• Questions are too abstract: instead of "About our service," be concrete, e.g. "What is the difference between pricing plans?"
• Answers are too long: keep them concise in 1-3 sentences (a length AI can easily cite)
• Duplicate questions: avoid duplicates on the same page

For details, see Schema.org and AEO.