App Store reviews, pulled and analyzed in one step.
nsight fetches public reviews and ratings from the Apple App Store, then runs AI analysis to surface what users love, what frustrates them, and what to fix first.
Every iOS app accumulates public feedback on the App Store. nsight pulls those reviews directly and feeds them into an AI analysis pipeline, so you get structured insight instead of a wall of text.
How it works
- Search for any public iOS app by name
- nsight fetches up to 150 of the most recent reviews
- App metadata is captured: overall score, ratings count, star histogram, version, developer, and genre
- Each review includes the text, star rating, date, author, and app version
- Reviews are cached for 7 days, so repeat reports on the same app use fresh data without redundant fetches
What the AI produces
Sentiment score
A 0 to 100 score with trend direction and risk level for the app overall.
Category breakdown
Performance, usability, features, and stability scored individually.
Personas and quotes
Real user archetypes built from the review language, with representative quotes.
Prioritized action plan
Issues ranked by frequency and severity, ready for your backlog.
Cross-platform
If the same app exists on Google Play, nsight can match the two listings using fuzzy title matching and generate a combined or comparative view. Search once, analyze both stores.
Analyze your App Store reviews
Search for an iOS app and get your first AI report free, no credit card required.
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