Optimize App Store Presence

App Store Optimization (ASO) Skill is a comprehensive toolkit for researching, optimizing, and tracking mobile app performance on the Apple App Store and Google Play Store. Research and analysis covers keyword volume/competition/relevance analysis, competitor deep-dives, market trend spotting, review sentiment extraction, and category/subcategory placement evaluation. Metadata optimization covers platform-specific title and description crafting, Apple's subtitle (30 chars) and promotional text (170 chars, editable without app resubmission), Apple's 100-character keyword field, category selection, and icon/screenshot/preview-video/localization best practices. Conversion optimization covers A/B test planning for metadata and visual assets, store-listing optimization for impression-to-install conversion, and CTA optimization. Rating and review management covers review monitoring, response templates, organic rating-improvement tactics, and surfacing common issues/feature requests. Launch and update strategy covers pre-launch checklists, launch timing, update cadence, "What's New" copy, and seasonal optimization. Analytics covers an overall ASO health score, keyword rank tracking, conversion metrics, download velocity, and category benchmarking.

Platform character limits are documented precisely: Apple title 30 chars, subtitle 30 chars, promotional text 170 chars, description 4,000 chars, keywords field 100 chars (comma-separated, no spaces); Google Play title 50 chars, short description 80 chars, full description 4,000 chars, with no separate keyword field (keywords are extracted from title and description).

{
  "platform": "apple" | "google",
  "app_info": {
    "name": "MyApp",
    "category": "Productivity",
    "key_features": ["Task management", "Team collaboration"]
  },
  "target_keywords": ["productivity", "task manager", "todo"]
}

The skill ships eight supporting scripts: keyword_analyzer.py (volume/competition/long-tail analysis), metadata_optimizer.py (title/description/keyword-field optimization with character-limit validation), competitor_analyzer.py (competitor metadata and visual-asset comparison), aso_scorer.py (0-100 health score across metadata/ratings/keywords/conversion, each weighted 0-25), ab_test_planner.py (test design, sample size, significance calculation), localization_helper.py (market prioritization and locale-specific keyword research), review_analyzer.py (sentiment analysis, theme extraction, response-template generation), and launch_checklist.py (submission validation and compliance checks for both stores). Optional free external tools (AppNiche revenue and keyword-opportunity checkers) supplement directional estimates when the workflow needs current market inputs, with results treated as approximate and dated.

Use this skill for public app store presence work - keyword research, metadata optimization, competitor analysis, review sentiment analysis, ASO scoring, A/B test planning, or launch/update checklists for apps on the Apple App Store or Google Play Store.

It explicitly does not cover paid user acquisition (Apple Search Ads, Google Ads), app development or UI/UX design, analytics implementation (Firebase, Mixpanel, etc.), or app-submission technical issues like provisioning profiles. It is not applicable to web apps, enterprise apps not in public stores, or beta/TestFlight-only apps. Keyword search volume estimates are approximate since neither Apple nor Google publishes official data, and store ranking algorithms are proprietary and change without notice, so benchmarks are directional, not guaranteed.

Inputs: app name, category, target keywords, competitor list, current metadata, review data, and platform (Apple/Google).

Outputs: keyword research reports, optimized metadata packages with character-count validation, competitor analysis reports, an ASO health score with category breakdown, A/B test plans, and pre-launch checklists.

Designed to complement content strategy, analytics, localization, design, and marketing skills; pulls optional directional data from free AppNiche revenue and keyword tools when current market context is needed.

App marketers, product managers, and indie developers optimizing an app's discoverability, conversion, and ratings on the Apple App Store and Google Play Store.