Add FAQPage structured data

FAQPage schema wraps a genuine, visible FAQ section in structured markup that names each question and answer explicitly. Because the format already mirrors how someone phrases a prompt to an AI assistant, it is one of the easiest content types for a model to lift and cite directly - as long as the schema and the visible text say exactly the same thing.

Why it matters for AEO. FAQ blocks are one of the most-cited content shapes in ChatGPT and Perplexity answers - the question/answer format maps almost 1:1 onto how a user phrases their own prompt. FAQPage schema makes that same content unambiguous to a parser, not just readable to a person.

How to do it

1. Write 5-8 genuine questions for your product, pricing, and top comparison pages - pull them from real support tickets, sales calls, and forum threads about your category.
2. Answer each in 2-4 direct sentences: state the answer first, then one sentence of context. Avoid marketing language inside the answer itself.
3. Mirror the exact visible question and answer text inside the FAQPage JSON-LD mainEntity array - schema text that contradicts the visible page text undermines trust in both.
4. Update FAQ answers whenever pricing, features, or competitor names change - stale FAQ answers get cited and actively hurt trust once they are wrong.

How to verify. Ask ChatGPT or Perplexity one of your FAQ questions phrased naturally and check whether your answer, or a close paraphrase, appears - ideally with a citation.

Example

{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [{
    "@type": "Question",
    "name": "Does Acme support single sign-on?",
    "acceptedAnswer": {
      "@type": "Answer",
      "text": "Yes. SAML and OAuth SSO are available on the Team and Enterprise plans, configurable from Settings > Security."
    }
  }]
}