You're Ignoring Free Market Research
Your customers already told you what they love and hate. But manually reading thousands of reviews? Nobody has time for that.
of shoppers read reviews before buying
conversion when addressing common concerns
to manually analyze 100 reviews
AI-Powered Review Intelligence
Powered by Amazon's Customer Feedback API, we extract topics, sentiment, and actionable insights from your reviews automatically.
Positive Topic Extraction
See the top 10 things customers love about your product. Use these exact words in your listing to resonate with new buyers.
Negative Topic Detection
Identify recurring complaints before they tank your rating. Know if "sizing runs small" or "packaging was damaged" is a trend.
6-Month Sentiment Trends
Track how customer sentiment changes over time. Did your supplier quality drop? See it in the data before sales crash.
Listing Recommendations
Get specific suggestions: "Add sizing chart to address 23% of negative reviews" or "Highlight durability — mentioned in 45% of positive reviews."
Real Insights, Real Impact
See what Aimazn extracts from your reviews
Top Positive Topics
Recommendation: Emphasize "premium materials" and "true to size" in your title and first bullet point.
Top Negative Topics
Action needed: Add accurate color description and include a size chart in images. Impact: -0.3 stars.
"After Aimazn showed me that 23% of negative reviews mentioned color mismatch, I updated my photos and added a color disclaimer. My return rate dropped 40% in the first month."
Maria S.
Fashion Seller, €2.3M/year