Free Schema Tool

FAQ Schema Generator

Generate valid FAQPage JSON-LD in seconds. Google removed FAQ rich results from Search in 2026, but the same markup is what Bing shows as rich results and what ChatGPT, Perplexity, and AI Overviews read to decide what to cite.

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JSON-LD - paste into <head>

      

What Is This Tool?

What Is FAQ Schema?

FAQ schema (FAQPage on Schema.org) is structured data that tells search engines and AI models your page contains questions and answers. Google removed its FAQ rich result feature from Search entirely in May 2026, so this markup no longer changes how your listing looks there. Bing still shows FAQ rich results from the same markup, and it is exactly what AI answer engines read to decide what to cite.

The same markup is read by AI Overviews, Perplexity, and other AI engines when they generate answers and need sources. This tool generates the exact <script type="application/ld+json"> block you need. Copy it and paste into your page <head>.

  • Include 2-10 question/answer pairs per page
  • Answers must be visible on the page. Google rejects hidden schema
  • Questions should be things real users ask, not marketing slogans
  • Validate with Google's Rich Results Test at search.google.com/test/rich-results

How to Use

How to Generate and Add FAQ Schema

  1. 1
    Add Your Questions and Answers

    Enter a question your audience actually asks and a concise, factual answer. Click "+ Add Question" to add more pairs.

  2. 2
    Generate the JSON-LD

    Click "Generate Schema". The output is a complete, valid FAQPage JSON-LD script block ready to use.

  3. 3
    Copy and Paste Into Your Page

    Paste the script block inside your HTML head tag. Then test it at search.google.com/test/rich-results to confirm it is valid.

Learn More

FAQ Schema: Practical Notes

Why FAQ schema still matters after Google removed rich results

Google fully removed the FAQ rich result feature from Search in May 2026, after first restricting it to government and health sites back in 2023. Adding FAQ schema will not change how your listing looks in Google today. It still matters for two reasons: Bing continues to show FAQ rich results from the same markup, and AI answer engines (ChatGPT, Perplexity, Google AI Overviews) read the same structured Q&A data to decide what to cite.

Writing answers AI engines actually cite

AI Overviews and Perplexity prefer short, direct answers. Lead with the answer, not the context. Keep answers under 60 words where possible. Include a specific number, date, or entity name. Answers written like "X is Y. It works by Z." get cited far more often than answers that build up to the point.

Keep FAQ schema honest, even without Google rich results

The same quality bar still applies for Bing and AI engines: avoid marketing-copy questions ("Why is our product the best?"), make sure every answer is actually visible on the page, and do not duplicate the same FAQs across many pages. Bing can still penalise low-quality FAQ markup, and AI engines are less likely to cite generic or duplicated Q&A content.

FAQs

FAQ Schema FAQs

Is FAQ schema still worth using in 2026?
Yes. Google fully removed the FAQ rich result feature from Search in May 2026, so it will not change your Google listing. But Bing still shows FAQ rich results from the same markup, and it is exactly what ChatGPT, Perplexity, and Google AI Overviews read to decide what to cite.
How many questions should I include?
2-10 is the recommended range. Only include questions your audience actually asks, and make sure all answers are visible on the page.
Do I need a plugin to add this to WordPress?
No. Paste the generated JSON-LD directly into a custom HTML block or your theme header. The Minineo theme adds FAQ schema automatically via minineo_schema_faq().
What is the difference between FAQPage and QAPage schema?
FAQPage is for pages where the site owner provides the answers. QAPage is for community sites like Stack Overflow where multiple users answer. Use FAQPage for blog posts and landing pages.

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