Create intermediate Works with: Any AI

Competitor Review Mining for Opportunities

Table output

Learn from public customer reviews.

The Open buttons send the prompt text as currently shown below to that site only when you click. Fill in the placeholders first.

[VERIFY] is an editorial flag, not a blank to fill. Wherever the prompt shows [VERIFY], check that item against a reliable source before you use it.

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Analyze public reviews of competing products. Reviews I collected (source, rating, text; I have permission to use them for analysis): [REVIEW_SAMPLE]. Our product's positioning: [OUR_POSITIONING]. Questions: [QUESTIONS].

Code the reviews into themes: what people love, what frustrates them, jobs they hire the product for, and reasons for switching away.

Output format:
1. A table: Theme | Positive mentions | Negative mentions | Share of all reviews | Example (a short paraphrase, not a long copied quote) | Implication for us. Give counts and shares, and note bias: reviews skew to extremes, and platforms may be gamed.
2. Three unmet needs, ranked by the number of distinct reviewers mentioning them, with the count and the total number of reviews analyzed.
3. Two table-stakes features and two risks for us.
4. How to validate each insight in customer interviews.
Copyright and terms: do not copy reviews wholesale, and check the platform's terms before collecting at scale [VERIFY]. Never invent reviews.

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Replace each bracketed placeholder with your own details, then paste into Any AI or another assistant.

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