---
title: ToolRouter — Use Case
description: Step-by-step guide for a real-world ToolRouter use case with agent-specific instructions.
url: https://toolrouter.com/tools/app-review-analysis/use-cases/analyze-review-sentiment
---
# Analyze App Review Sentiment

App reviews are unfiltered user feedback at massive scale. A single app can accumulate thousands of reviews, each containing nuggets of insight buried in natural language. Reading them one by one is impractical, and star ratings alone miss the nuance -- a 3-star review might praise the core feature but complain about stability, while a 5-star review might mention a feature gap they wish you would fill.

The aggregate_reviews skill processes large volumes of reviews and extracts sentiment patterns automatically. It identifies what users love, what frustrates them, and how sentiment shifts over time or across app versions. This analysis turns an overwhelming wall of text into actionable intelligence: you know exactly which aspects of your app drive satisfaction and which create friction, allowing you to prioritize improvements that will have the biggest impact on user happiness and retention.

**Tool:** [App Review Analysis](https://toolrouter.com/tools/app-review-analysis)
**Skills:** aggregate_reviews

## Agent Guides

- [How to Analyze Review Sentiment with Claude](https://toolrouter.com/tools/app-review-analysis/use-cases/analyze-review-sentiment/claude): Guide for Claude
- [How to Analyze Review Sentiment with ChatGPT](https://toolrouter.com/tools/app-review-analysis/use-cases/analyze-review-sentiment/chatgpt): Guide for ChatGPT
- [How to Analyze Review Sentiment with Copilot](https://toolrouter.com/tools/app-review-analysis/use-cases/analyze-review-sentiment/copilot): Guide for Copilot
- [How to Analyze Review Sentiment with OpenClaw](https://toolrouter.com/tools/app-review-analysis/use-cases/analyze-review-sentiment/openclaw): Guide for OpenClaw
