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Convert Your Existing FAQ to FAQPage JSON-LD

Paste your existing FAQ (any format: headings, bullet list, table, screenshot) and get back a fully valid Schema.org FAQPage JSON-LD block, plus rewritten visible answers tightened for AI citation. Includes a duplicate-data warning so you don't trigger Rich Results errors.

BeginnerPASTE & GOTime-saving

faq · schema · json-ld · rich-results · aeo · validation

Pro tip

Adding FAQPage JSON-LD without removing existing FAQ microdata is the #1 cause of Rich Results errors on small business sites. This prompt outputs both the JSON-LD AND a checklist of microdata attributes (itemscope, itemtype, itemprop) you must remove from your visible FAQ before publishing. JSON-LD only, never both.

How to use this prompt

  1. Pick your AI model. Choose the tab for Claude, ChatGPT, Gemini or Copilot. Each variant is tuned for that model.
  2. Copy the full prompt. Click Copy Full Prompt to copy the text to your clipboard.
  3. Paste into your AI tool. Open your chosen model and paste the prompt into a new chat.
  4. Replace the [placeholders]. Swap any bracketed fields for your company name, audience, product or tone.
  5. Run and refine. Review the output. If anything is off, ask the AI to tighten tone, length or format.

Prompt Variants by Model

Claude Sonnet 5
Act as a structured-data engineer. I'll paste my existing FAQ. Convert it to paste-ready FAQPage JSON-LD, tighten the answers for AI citation, and warn me about anything that would make the markup invalid.

Context: page URL [https://YOUR-DOMAIN.COM/...] · business / what we do [SENTENCE] · brand tone [warm-expert / no-nonsense / playful / premium / technical / friendly-everyday]

Existing FAQ (any format — headings, bullets, table, HTML):
[PASTE]

Answer rewrite rules: first sentence is the answer · 40-90 words · contains a specific fact, number, or example · factually defensible · matches the tone.
Keep question wording as-is unless a question is over 12 words or contains jargon — flag those for my approval instead of changing them silently.

Output:
1. Audit table: # · Question (issue if any) · Answer length · Answer issue · Action (keep / rewrite / split / cut)
2. Rewritten visible FAQ in markdown
3. Complete <script type="application/ld+json"> FAQPage block — JSON-valid, paste-ready
4. Validation and deploy notes — if I pasted HTML, every microdata attribute (itemscope, itemtype, itemprop) to remove so JSON-LD stands alone; answers where you guessed a fact; compound questions to split; where to check the block: the Schema.org validator at https://validator.schema.org; and one plain sentence telling me that Google stopped showing FAQ rich results on 7 May 2026, so this markup will not change how my page looks in Google results

Success means the JSON-LD questions match the visible FAQ word for word, and no fact in an answer is one I didn't give (flag the ones you had to assume).

Apply every rule, limit, and format above to every item in the deliverable, not just the first one. Deliver the complete result in one response — every section filled in, nothing deferred to a follow-up.

If a required input is missing, ask for it once before starting; otherwise proceed and label any assumption you made.

Notes: R40 refresh; tuned to vendor prompting guidance

Frequently Asked Questions

What does the Convert Your Existing FAQ to FAQPage JSON-LD prompt do?

Paste your existing FAQ (any format: headings, bullet list, table, screenshot) and get back a fully valid Schema.org FAQPage JSON-LD block, plus rewritten visible answers tightened for AI citation. Includes a duplicate-data warning so you don't trigger Rich Results errors.

Which AI models is this prompt written for?

Claude, ChatGPT, Gemini and Copilot. Each one gets its own version up top, written the way that vendor says to prompt its own model. Pick the tab that matches yours.

Do I need a paid AI account to use this prompt?

No. This prompt is written to run on the free tier of Claude, ChatGPT, Gemini and Copilot. Paid tiers simply give you longer context windows and faster responses.

Can I customize this prompt for my business?

Yes. Any text inside square brackets is a placeholder you replace with your own business details, such as company name, audience, product or tone. You can also ask the AI to adjust format, length or style after the first output.

When was this prompt last checked?

The date is on each version up top. We check every prompt in full every month, and when a major new model lands we rewrite the prompt for it. One glance tells you how current it is before you paste.

Works with

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