Also known as: FAQ schema, FAQPage JSON-LD, FAQ markup
The FAQPage schema is a Schema.org type that explicitly signals to a web page: ”Here are question/answer pairs.” Each entry consists of a Question object (with name) and a nested acceptedAnswer object (with text). The markup is usually placed as JSON-LD in the <head> or directly alongside the FAQ section. Google has not shown FAQPage markup as a rich snippet at all since 7 May 2026, but the structured data remains essential for AI citations: ChatGPT, Perplexity, Gemini and Google AI Overviews parse Q&A structures far more reliably when they are explicitly typed.
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "What does the tool cost?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Pay-per-use from 5 cents per action."
}
}
]
}One further entry object in mainEntity per question. Answers allow plain text with limited HTML (paragraphs, lists, links).
/faq) with ≥3 entries.NOT suitable: marketing CTAs (”Ready to get started?”), rhetorical questions in body copy, forum threads with user answers (QAPage is intended for those).
This happened in two stages. In August 2023 Google restricted the display to government and health sites. On 7 May 2026 it disappeared entirely: since then FAQ results no longer appear in Google Search for any site. In June 2026 the search appearance filter, the Search Console report and Rich Results Test support were removed, and in August 2026 support in the Search Console API followed.
The reason to add it anyway has shifted. Where Google once showed an expandable element, language models now take the answer and name the source. A passage marked up as Question with acceptedAnswer does not have to be extracted from body copy first — it is already a finished answer.
FAQPage applies when the site owner answers. If a single question is the focus and users answer it, QAPage is the right type.Since 24 June 2026 the Content Studio editor has included a schema helper that recognises FAQ drift (Q&A structures in the content without FAQPage schema) and offers a one-click generator: ”FAQ schema (0 Cr)” on the full-check item builds a valid FAQPage JSON-LD heuristically from the recognised pairs — no AI call, no risk of hallucination, no credit consumption.
Example: A SaaS landing page had an FAQ section with 5 genuine entries but no FAQPage schema. In the GEO audit, ChatGPT citations stood at 0%. After the markup was added (one click in the editor), the citation rate rose to 14% over the following 4 weeks — the AI systems could now cite the answers directly as a source without having to guess the Q&A structure.
FAQ schema generator in Content Studio
Free SEO & GEO Check
SEO score, AI visibility and citability of your website in 30 seconds — no registration required.
Register for free, get 10 credits and start right away.
Register now