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app-store-optimization

Automate ASO research, metadata optimization, and tracking for Apple App Store and Google Play.

1|Updated Apr 20, 2026
Search Tags:#localization#metadata#keyword-research#ab-testing#aso#competitor-analysis#app-store-optimization
One-click install
npx skills add https://github.com/lupin4/claude-skill-factory --skill app-store-optimization-lupin4
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: app-store-optimization
Source: https://github.com/lupin4/claude-skill-factory/tree/main/generated-skills/app-store-optimization
Command: npx skills add https://github.com/lupin4/claude-skill-factory --skill app-store-optimization-lupin4

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

App stores are crowded and discovering apps is challenging. This Skill provides an end-to-end toolkit to perform research, optimize metadata, improve conversions, monitor performance, and localize for global markets, helping apps stand out and acquire users.

Core Features & Use Cases

  • Research & Analysis: Keyword research, competitor analysis, market trends, review sentiment analysis, and category positioning.
  • Metadata Optimization: Craft platform-specific titles, descriptions, subtitles/promotional text (Apple), and keyword fields; optimize for localization and icon/screenshot strategies.
  • Conversion Optimization: Implement A/B testing, optimize visual assets, and maximize impression-to-install conversions.
  • Launch & Update Strategies: Create pre-launch checklists, optimize launch timing, and plan feature updates and What's New messaging.
  • Analytics & Tracking: Build ASO health scoring, track keyword rankings, and benchmark performance against category peers.
  • Localization: Plan multi-language localization and ROI analysis to expand reach.

Quick Start

Start with keyword research for your app, optimize metadata for both stores, and run A/B tests to boost conversions.

Frequently Asked Questions about app-store-optimization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I do keyword research for app store optimization?▼

App store optimization improves app visibility by automating research, metadata optimization, and tracking for Apple App Store and Google Play. It applies platform-specific limits to craft titles, descriptions, and keyword fields to increase impressions and user acquisition.

How do I write app store metadata for Apple and Google Play?▼

Writing app store metadata requires applying platform-specific limits to optimize titles, descriptions, subtitles, and promotional text. This optimization crafts tailored keyword fields for Apple App Store and Google Play to maximize search visibility and conversion rates.

Does app store optimization support A/B testing and visual asset optimization?▼

Yes, app store optimization supports A/B testing and visual asset optimization to maximize impression-to-install conversions. It implements tests to refine icons and screenshots, directly improving the conversion rate of app store visitors into installed users.

Can I use app store optimization for multi-language localization and ROI analysis?▼

App store optimization can be used for multi-language localization and ROI analysis to expand global reach. It plans localized metadata strategies and analyzes return on investment to determine which international markets yield the highest acquisition growth.

What is the best way to track keyword rankings and benchmark app store performance?▼

The best way to track keyword rankings and benchmark performance is by building an ASO health score. This approach monitors keyword positions over time and benchmarks your app against category peers to evaluate overall app store visibility.

How do I plan an app launch and feature update strategy for app stores?▼

Planning an app launch and feature update strategy involves creating pre-launch checklists, optimizing launch timing, and structuring What's New messaging. This ensures maximum app store visibility and user engagement during initial releases and subsequent updates.

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