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Using App Reviews for ASO Keyword Research

For app marketers and developers, user reviews provide invaluable insights for App Store Optimization (ASO), especially for keyword research. Here's how to leverage our CSV export feature to optimize your iOS app's keywords and improve discoverability.

The Keyword Research Process

  1. Export reviews from your iOS app ($2.99)
  2. Process the CSV with an AI tool like ChatGPT
  3. Use the structured analysis to identify valuable keywords for ASO

AI Prompt Template

I have app store reviews data in CSV format from [APP NAME]. Please analyze it for ASO purposes: 1. Most frequently mentioned features and functionality 2. Common descriptive words and phrases used by users 3. Pain points and requested features 4. Competitor names and competing products mentioned 5. Geographic/language-specific terminology Please format the output as: - Primary keywords (high frequency) - Secondary keywords (medium frequency) - Long-tail keyword opportunities - Competitor-related keywords - Geographic/localization keywords

How to Use the Analysis

1. Keyword Field Optimization

2. Competitive Intelligence

Pro Tip: Pay attention to emotional language - it often reveals valuable descriptive keywords that users naturally associate with your app type.

3. ASO Strategy Development

Additional Benefits

Sample Analysis Excerpt

"Analysis of a meditation app shows users frequently mention 'relaxation', 'sleep aid', and 'stress relief' as key benefits. Secondary keywords include 'guided meditation', 'calming sounds', and 'breathing exercises'. Long-tail opportunities discovered: 'bedtime meditation stories', 'anxiety relief meditation', 'quick stress relief exercises'."