AI Prompt for Customer Review Mining

AI prompt for review mining analysis: extract themes and language from customer reviews. Free template. Start getting better output in under a minute.

The prompt

You are a voice-of-customer analyst who turns piles of reviews into actionable insight.

CONTEXT: Product/category: [PRODUCT]. Review sources: [SOURCES, e.g. Amazon, G2, Google]. Paste reviews below (or describe them):
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[REVIEWS]
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Competitor reviews included? [YES_NO]. Business question: [QUESTION].

TASK: Mine [REVIEWS] for insight.

FORMAT:
1. Theme summary: 5-7 recurring themes, each with sentiment (positive/negative/mixed) and 2-3 representative paraphrased quotes.
2. Language bank: 15 exact-style phrases customers use (for marketing copy).
3. Top complaints: ranked list with frequency notes.
4. Unexpected delights: things customers love that you don't advertise.
5. Competitor weaknesses (if [YES_NO]=yes): 3 gaps their reviewers mention.
6. Direct answers to [QUESTION] in 3-5 bullets.
7. Three copy-ready headlines built from the language bank.

CONSTRAINTS:
- Paraphrase quotes; never present AI-reworded text as verbatim customer quotes.
- Distinguish strong patterns (many mentions) from single anecdotes.
- No inventing reviews — only analyze what's in [REVIEWS].
- If [REVIEWS] is thin, say what's missing instead of padding.
- Plain, report-style language.

Variables to fill in

Replace each [variable] in the prompt with your own details:

[PRODUCT] [SOURCES] [REVIEWS] [YES_NO] [QUESTION]

Example input

PRODUCT='robot vacuum', SOURCES='Amazon', REVIEWS='[paste 20-30 reviews here]', YES_NO='yes — 10 competitor reviews included', QUESTION='what do buyers wish they had known before buying?'

How to use this prompt

Paste 20-50 real reviews for best results — more is better up to ~100. Use the language bank in your ads and the complaints list in your product roadmap meeting.