Use Case · Marketing
Review Sentiment Analysis
from CSV
Upload your reviews CSV export. Let AI tag sentiment, topic, competitor mentions, and flag testimonial-worthy responses.
Why this matters
Brand managers track thousands of online reviews across Google, Yelp, Trustpilot, and app stores. CSV Analyst processes bulk review exports row by row, detecting the core emotion in each review, identifying what users liked or disliked, flagging competitor mentions, and surfacing hidden gems that could become testimonials — transforming raw review data into a structured reputation report.
Before → After
What your CSV looks like after enrichment
The AI reads each row and appends the columns you need — no formulas, no scripts.
| Review Text (Raw) | AI: Sentiment | AI: Main Topic | AI: Testimonial? | |
|---|---|---|---|---|
| "Absolutely love the product. Setup was instant and the support team was incredibly helpful." | → | Positive | Support | Yes |
| "Decent product but the price is way too high compared to competitors." | → | Mixed | Pricing | No |
| "Delivery took 3 weeks and the item arrived damaged. Never buying again." | → | Negative | Logistics | No |
AI-generated columns
Features & Data the AI can extract
- SentimentPositive, Mixed, Negative, Neutral
- Main TopicPricing, Delivery, Quality, Support, UX...
- Competitor MentionFlags if a competitor is named in the review
- Testimonial CandidateYes/No — ideal for marketing use
Transform thousands of rows in minutes.
Upload your CSV and let AI do the tedious row-by-row analysis. No sign-up required.
→ Try the live demo — free