Product Review Intelligence
Turn thousands of product reviews into measurable business intelligence.
Product reviews contain invaluable customer intelligence, but manually reading thousands of reviews across marketplaces, app stores, retailer websites, and support channels rarely scales. Steeped AI transforms product reviews into measurable business intelligence by identifying recurring product strengths, quality concerns, feature requests, competitive comparisons, pricing feedback, shipping issues, and customer sentiment.
Discover which issues drive negative ratings, identify product improvements that matter most, compare perceptions across product lines, and measure how customer priorities change over time. Product, marketing, and customer experience teams can quickly prioritize improvements using statistically validated findings instead of anecdotal feedback.
AI Topic Mapping
Use Steeped AI's AI topic mapping to turn free-text reviews into measurable concepts like quality concerns, feature praise, and shipping issues. Quantify how often each appears and which ones drive low ratings, so product and CX teams fix what actually moves the star average.
Statistical Significance Testing
Steeped AI's automated significance testing confirms which issues genuinely drive low ratings and which differences between product lines are real. A university-grade, 3-part framework keeps every priority defensible, so engineering time goes to the fixes the data proves will move ratings.
Data Preparation
Use Steeped AI's data preparation to merge reviews pulled from different marketplaces into one clean dataset, normalizing star scales, removing duplicates, and standardizing product identifiers. Comparisons across channels and product lines finally rest on consistent, deduplicated data.
Enterprise RAG & Custom Search
Ask across every marketplace and channel at once with Steeped AI's enterprise search engines. Instead of scrolling star pages, ask what 1-star reviews mention most and get the exact review snippets back with citations, so product decisions trace to real customer wording.
The insights are already in your data.
Ask your data anything. Get real findings ranked by impact, with AI reports your team can present and share on the spot.