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FAQ section with structured data from real questions

Turn customer questions, search queries and support tickets into a helpful FAQ section plus valid FAQPage JSON-LD for a product or service page.

Any chat AISEORuleStack original

Works with: ChatGPT · Claude · Gemini · Grok · Microsoft Copilot · Perplexity · Meta AI · DeepSeek · Mistral Le Chat

Written for Any frontier chat model (GPT-6, Claude 5.5, Gemini 4 Argon, Grok 4.7) · Updated 2026-10-18

Note: Review and test before use. Provided as is, without warranty. See Terms.

Write an FAQ section for this page: [URL or page summary] about [product or service] for [audience].

Source questions (from search console queries, support tickets, sales calls):
[paste list]

Steps:
1. Group duplicates and pick the [8] questions that matter most to buyers; phrase them the way customers ask.
2. Answer each in 40-80 words: direct answer first, then one useful detail. Use only facts from [source material below]; write [CONFIRM] where a fact is missing.
3. Suggest one internal link per answer where relevant (from this list: [URLs]).
4. Output the FAQ as HTML (`<h3>` question, `<p>` answer) and matching FAQPage JSON-LD in a separate code block.

Source material:
[paste product facts, pricing, policies]

Replace everything in [square brackets] with your own details.

Settings & parameters

• Any capable chat model; validate the JSON-LD with a schema validator before publishing

Variations

• Comparison FAQ: "[product] vs [alternative]" questions with balanced answers.
• Local business version with hours, service area and booking questions.

Tips

• Only mark up questions that are visible on the page, and keep answers identical in the HTML and JSON-LD.
• Write for people first; FAQ rich results are not guaranteed.