What is FAQ schema and how do I add it?
Quick Answer
FAQ schema is JSON-LD structured data markup that tells Google your page contains questions and answers. Adding it makes your content eligible for rich results — expandable Q&A dropdowns directly in search results — which increase visibility and click-through rates. It also makes your Q&A pairs directly parseable by AI systems for citation.
How FAQ Schema Works
FAQ schema uses the FAQPage type from Schema.org. You wrap your questions and answers in JSON-LD format inside a script tag in your page's head. Google's crawler reads this structured data and may display your Q&A pairs as expandable rich results beneath your search listing. This gives you more visual real estate on the results page and can double your click-through rate.
The SEO and GEO Benefits
For SEO: FAQ rich results increase your listing's visual size by 2-3x, pushing competitors further down the page. Average CTR increase is 20-30% when FAQ rich results appear. For GEO: AI systems parse FAQ schema directly because it's already in question-answer format — exactly what they need to cite your content. Adding FAQ schema is one of the highest-ROI optimization moves for dual SEO + GEO visibility.
“Pages with FAQ schema see 20-30% higher click-through rates and are significantly more likely to be cited by AI search systems.”
How to Add FAQ Schema to Your Pages
Add a script tag with type 'application/ld+json' to your page's head. Inside, define a FAQPage object with an array of Question objects, each containing the question text and an Answer object with the answer text. Most CMS platforms have plugins for this. If you use a content engine like Averi, FAQ schema is generated automatically for every piece of content that includes a FAQ section.
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FAQ
Questions? Answers.
FAQ schema, built in.
Every piece published through Averi includes automatic FAQ schema, structured answers, and GEO-optimized formatting.