FAQ schema

last updated

May 15, 2026

category

reading time

2 min

Table of contents

    Definition

    FAQ schema is a type of structured data markup that formats question-and-answer content in a way that search engines and AI systems can identify and extract.

    What is FAQ schema and how does it help you appear in AI answers?

    FAQ schema is a specific type of structured data that marks up a list of questions and answers on a page so that AI tools and Google can identify and extract individual Q&A pairs as standalone units.It's one of the highest-ROI schema types for AEO.

    Each question and answer is structured as a discrete extraction unit - meaning AI engines can cite a single FAQ answer without needing to process the full article. A post with five well-written FAQ entries is effectively five citable assets, not one.In Webflow, FAQ schema is added as JSON-LD in the page's custom code embed.

    The markup is straightforward: a FAQPage type containing Question items, each with an acceptedAnswer. The answers themselves should be 2-4 sentences, written to stand alone without the surrounding article for context.

    Go deeper: Webflow Technical AEO: how to structure your site for AI search

    Frequently Asked Questions

    Do glossary pages improve your chances of being cited in AI-generated answers?

    Yes - and this glossary is a practical example of why. A glossary page with well-structured definitions and FAQ schema provides AI tools with a dense set of extractable Q&A units on a focused topic. Each term-plus-FAQ combination is a discrete citation candidate. Glossary pages also build topical authority signals by demonstrating comprehensive coverage of a subject area. They tend to earn backlinks from other content sites referencing the definitions, which reinforces domain authority over time.

    How long should FAQ answers be for AEO?

    Two to four sentences is the optimal range. Short enough to be self-contained and extractable without additional context. Long enough to be genuinely useful as a standalone answer rather than a teaser that requires reading the full article. Answers that are too short (one sentence) often lack the specificity that makes AI tools prefer them over a generated answer. Answers that are too long lose the clean extraction quality that makes FAQ schema valuable in the first place.

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