FAQ Schema Generator
Generate FAQPage JSON-LD structured data for Google rich snippets. Add your questions and answers, copy the output, paste into your page head. Free, instant, no signup.
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JSON-LD Output
{"@context": "https://schema.org","@type": "FAQPage","mainEntity": []}
Fill in at least one question and answer to generate schema.
How to use
Copy the JSON-LD and paste it inside a <script type="application/ld+json"> tag in the <head> of the page containing your FAQ content. Google recommends placing FAQ schema only on pages where the Q&A content is visible to users.
Automate SEO at scale with Claude Code skills
What is FAQ Schema Markup?
FAQ schema markup is a type of structured data written in JSON-LD format that signals to search engines your page contains question-and-answer content. When Google crawls a page with valid FAQPage schema, it can display the questions and answers directly in search results as expandable rich results, increasing the page's visible area in the SERP without requiring a click.
The markup uses the schema.org FAQPage type with a mainEntity array of Question objects. Each Question contains a name (the question text) and an acceptedAnswer with an Answer object. The entire block drops into a <script type="application/ld+json"> tag in your page head.
Beyond traditional search, AI engines including Perplexity, ChatGPT, and Google AI Overviews parse structured data to identify authoritative sources for direct answers. Pages with clean, well-structured FAQ schema get cited more frequently in AI responses because the question-answer format maps directly to how AI systems extract information.
Why FAQ Schema Matters for SEO and AEO
FAQ schema is one of the highest-leverage structured data types available. A single page can occupy significantly more SERP real estate when Google displays three to five expanded Q&A pairs under the main result. More visible area means more click opportunities without ranking higher.
Rich results
Expanded Q&A pairs display under your result in Google SERPs, increasing CTR for informational queries.
Voice search
Google Assistant and Siri pull direct answers from FAQ schema for voice queries. Each answer becomes a candidate response.
AI citations
Perplexity, ChatGPT, and AI Overviews favor citation-ready content. FAQ schema signals that your answers are discrete and authoritative.
PAA alignment
Writing FAQ questions that match "People Also Ask" patterns captures PAA box traffic and signals topical authority.
Answer Engine Optimization (AEO) is the practice of structuring content so AI systems cite your site as the source of direct answers. FAQ schema is foundational to AEO because it packages content in the exact format AI engines consume: a discrete question with a concise, authoritative answer.
Generate FAQ Schema Automatically with Claude Code
This tool handles single-page schema generation. For bulk workflows — adding FAQ schema across dozens of pages, generating schema from existing content, or validating structured data at scale — Claude Code with the CC for SEO skills kit runs the entire process from one terminal command.
The /schema skill in the CC for SEO kit reads your existing page content, cross-references People Also Ask data for your target keyword, and writes FAQ pairs optimized for both Google rich results and AI citation. It outputs copy-paste JSON-LD and validates it against the schema.org spec before saving.
Frequently asked questions
What is FAQ schema markup?
FAQ schema markup is structured data (JSON-LD format) added to a webpage's HTML that tells search engines the page contains question-and-answer content. Google uses this data to display rich results showing questions and answers directly in the search results page, expanding the page's SERP footprint without requiring an additional click.
Does FAQ schema still work in 2026?
Yes, FAQPage schema remains a supported Google rich result type as of 2026. Google updated its guidelines in 2023 to restrict FAQ rich results to authoritative government and health sites for most queries, but FAQ schema still provides structured data signals that benefit AI search engines, voice search, and Google's understanding of page content.
How many questions should I include in FAQ schema?
Four to eight questions is the practical range. Google historically displayed up to 10 FAQ items in rich results, but real-world SERP data shows 3-5 expanded results are most common. For AI search engines like Perplexity and ChatGPT, more comprehensive Q&A content improves citation probability, so err toward 6-8 well-written answers.
What is the ideal answer length for FAQ schema?
40-60 words per answer targets the featured snippet sweet spot. At that length, answers are concise enough to display fully in rich results and short enough for AI engines to extract as direct citations. Answers under 40 words often lack enough context, while answers over 80 words get truncated in SERP display.
Can I automate FAQ schema generation with Claude Code?
Yes. The CC for SEO skills kit includes a /schema skill that generates FAQPage, Article, Product, and BreadcrumbList JSON-LD from a single terminal command. Run claude /schema --type faq --url https://yourpage.com and Claude Code extracts existing Q&A content, writes optimized answers, and outputs copy-paste JSON-LD ready for your HTML.
SEO Command Center
Automate schema at scale
Generate FAQ, Article, Product, and BreadcrumbList schema across your entire site with one Claude Code command. The CC for SEO skills kit includes the /schema skill plus 12 other SEO workflows.
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