E-Commerce & Product

Verified against ChatGPT · 2026-08-12

Build a product FAQ from actual support questions instead of marketing questions in disguise

Produces a product page FAQ section sourced from real recurring support tickets or reviews, so it actually reduces pre-purchase questions and returns instead of restating the product description as fake Q&A.

ChatGPT (GPT-5.1)4 fillable variables

The prompt

Ready to copy — highlighted parts are example details you can swap.

Build a product FAQ section from the real recurring questions and concerns below — not invented marketing questions like "why should I buy this?" dressed up as an FAQ.

PRODUCT
Nimbus air purifier, 500 sq ft coverage

RECURRING SUPPORT QUESTIONS / REVIEW CONCERNS
How loud is it on the highest setting? Does it actually help with pet odor or just dust? Will it work in a room with high ceilings? Do I need to buy filters separately and how often?

FACTS NEEDED TO ANSWER THEM ACCURATELY
54dB on highest setting (comparable to a quiet conversation), HEPA + activated carbon filter handles odor and dust both, rated for 500 sq ft at 8ft ceiling height (may underperform above that), filters sold separately, replace every 6-8 months depending on use

QUESTIONS WE CANNOT ANSWER DEFINITIVELY
Whether it will be loud enough to disturb a light sleeper specifically — this depends on the individual and the room's baseline noise level

For each recurring question or concern I gave you, write it as a real shopper would actually phrase it (contractions, plain language, not marketing-polished grammar), then answer it using only the facts I gave you — directly, in 1-3 sentences, leading with the actual answer before any supporting detail. If a question implies a real limitation or downside of the product, do not answer around it — state the limitation plainly and then, if there's a genuine mitigation, offer it after.

For anything in the unanswerable list, do not guess or generate a plausible-sounding answer — write a short honest response that says what we don't know or what depends on the buyer's specific situation, and where they should actually go to get a real answer (a support contact, a spec they should check themselves).

WHAT NOT TO DO
Do not include a question whose real purpose is just to restate a selling point ("What makes this product special?") — every question here should be something a person would type into a support chat or ask a friend before buying, not something a marketer wrote to sound like a question.

OUTPUT FORMAT
A Q&A list, each question bolded, each answer directly below it. Flag with a note any question where the given facts were insufficient to answer confidently.

Customize

Optional — swap in your own details for the highlighted parts above.

Why this works

A product FAQ only reduces pre-purchase hesitation and post-purchase returns if it answers what people are actually confused or worried about, and GPT-5.1 asked to "write an FAQ" for a product with no real question data supplied will reliably generate marketing questions in Q&A clothing — "What makes this product unique?" — because it has no genuine question bank to draw from and defaults to restructuring the product description as a false dialogue, which is why sourcing the actual recurring questions from support and reviews is the load-bearing part of this prompt, not a nice-to-have. Instructing the model to state a real limitation plainly before offering any mitigation matters because the default persuasive-writing instinct is to answer around a downside with a positive reframe, and a shopper reading a product FAQ specifically because they're worried about that downside will notice the evasion immediately — an FAQ that dodges its own hard questions is worse than not having one, because it signals the seller is hiding something the reviews already made obvious. The explicit unanswerable-questions handling addresses the single most damaging failure mode for FAQ content specifically: a model filling a knowledge gap with a fabricated specific number (a decibel rating, a coverage area) reads as authoritative to a shopper but creates a real support liability the moment a buyer holds the seller to a number that was never actually tested.

What you get back

**How loud is it on the highest setting?** About 54dB — roughly the volume of a quiet conversation. It's not silent, but most customers run it on medium overnight and save the highest setting for a quick clean-air boost during the day. **Will it work in a room with high ceilings?** It's rated for 500 sq ft at 8ft ceiling height. Above that, coverage may drop off since air volume increases faster than floor area — if your ceilings are notably taller, size up to the next model rather than assuming this one will keep pace...

Verified against

ChatGPT GPT-5.1 · 2026-08-12

Changelog

  • 2026-08-12 Initial publish, verified against ChatGPT GPT-5.1.

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