App Store Optimization (ASO)
4 fill-in slots · from The AI Prompt Handbook for Mobile App Development
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0/4 filledApp Store Optimization (ASO)
Background: Native [platform] app. What it does and who it's for: [describe]. Main competitors: [list if known]. Primary keywords I think matter: [list]. Use case: Optimize the store listing to improve discovery and conversion (install rate), not just ranking. Implementation details: - Title/subtitle and the keyword field (iOS) vs how Play indexes the description—optimize for each store's algorithm - Keyword research approach: relevance × volume × competition; long-tail opportunities - Conversion levers: the first 1–3 screenshots tell the value story, a hooky first description line, and an icon that stands out at thumbnail size - Localization of keywords/metadata for key markets - Ratings/reviews strategy: when to prompt (in-app review API), responding to reviews - Plan to A/B test store assets where the store supports it Deliverable: An optimized title/subtitle, a keyword set mapped to each store's model, a screenshot/value-story sequence, the icon/first-line recommendations, and a ratings-prompt + review-response plan.
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