What problem does it solve?
App Store Optimization helps app teams overcome low discoverability and poor conversion by systematically improving store listings to attract the right users and increase installs. It reduces guesswork by combining data-driven keyword research, competitor intelligence, and conversion-focused metadata into actionable recommendations that fit platform requirements.
Core Features & Use Cases
- Keyword Research & Prioritization: Identify high-potential primary, secondary, and long-tail keywords with volume and competition context.
- Metadata Optimization: Generate platform-specific titles, subtitles, short and full descriptions, and Apple keyword fields that respect character limits and improve search relevance.
- Competitor Analysis & ASO Scoring: Benchmark competitors, surface keyword gaps, and compute a 0-100 ASO health score with prioritized improvement actions.
- A/B Test Planning & Analysis: Design tests for icons, screenshots, and metadata, calculate sample sizes, estimate durations, and interpret statistical significance.
- Localization & Review Intelligence: Recommend target markets, validate translated metadata, analyze user reviews for sentiment, issues, and feature requests.
- Use Case: A small product team preparing a cross-platform launch can run keyword research, produce validated Apple and Google metadata, plan post-launch A/B tests for icons and screenshots, and receive a prioritized launch checklist.
Quick Start
Use the app-store-optimization skill to run keyword research for my productivity app, generate optimized Apple and Google metadata that fit character limits, and produce an ASO health summary with prioritized next steps.
