Customer Review Analyzer
ChatGPT pluginAnalyze customer reviews
- Featured
- No
not on the featured shelf
Movement
From our daily snapshots over the last 30 days.
Rank by placement
Rank in Productivity
In its category
How this plugin compares with others in the same category. Positions are counted within the category, not across the whole directory.
Productivity1,238th of 1,371 by placement
| # | Plugin | Position | 7d |
|---|---|---|---|
| 1235 | #5457 | — | |
| 1236 | #5458 | — | |
| 1237 | #5460 | — | |
| 1238 | #5463 | — | |
| 1239 | #5469 | — | |
| 1240 | #5471 | — | |
| 1241 | #5472 | — |
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Analyze supplied customer reviews, app-store feedback, survey comments, and ratings. Identify sentiment by topic, recurring strengths and pain points, cautious authenticity signals, segment and time trends, representative quotations, and evidence-linked recommendations. Counts are explicit and data quality limits are disclosed. Customer support: https://thedoersfirm.com/support.
Example prompts
- “Analyze these reviews for recurring themes, topic-level sentiment, and evidence-backed actions.”
- “Summarize review trends by rating, product aspect, and time period.”
- “Audit this review dataset for quality limitations and cautious authenticity signals.”
Skills
aspect-sentiment-coding
Code reviews by product aspect and expressed sentiment while retaining ambiguity and evidence provenance.
customer-review-analyzer
Orchestrate evidence-led analysis of customer reviews, ratings, and public feedback supplied by the user.
review-quality-and-authenticity-signals
Assess review dataset quality and describe potential manipulation indicators without asserting individual reviews are fraudulent.
review-trends-and-action-planning
Turn review patterns into cautious trend comparisons, response themes, and measurable improvement hypotheses.
- Categories
- Made by
- The Doers Firm · Website
- Sign-in
- On Install
- Capabilities
- Analyze, Write
- Availability
- Available
- Version
- 0.1.0
- Created
- September 23, 2026
- More info