domains / families / marketing / app-store-optimization

app-store-optimization

combined

App Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking ranking changes. Optimize App Store product pages for search visibility and conversion. Use for App Store Optimization (ASO), keyword research, app name/subtitle/keyword-field strategy, conversion-focused descriptions and promotional text, screenshot captions and ordering, Custom Product Pages with assigned search keywords, In-App Events, Product Page Optimization tests, localized metadata, ratings/review strategy, and in-app review prompt timing with RequestReviewAction or AppStore.requestReview. Also use when routing ASO vs App Store review, privacy/ATT, or StoreKit implementation boundaries.

When to use

• This skill is applicable to execute the workflow or actions described in the overview.

When not to use

• Keyword search volume estimates are approximate (no official data from Apple/Google)
• Competitor data may be incomplete for private apps
• Review analysis limited to public reviews (can't access private feedback)
• Historical data may not be available for new apps
• Apple App Store keyword changes require app submission (except Promotional Text)
• Google Play Store metadata changes take 1-2 hours to index
• A/B testing requires significant traffic for statistical significance
• Store algorithms are proprietary and change without notice

Skill page

Conflict

The three copies overlap on core ASO tasks (keyword research, metadata optimization, description structure, and platform character limits) but each contains material steps the others lack. dpearson2699 focuses on Apple-specific strategy, Custom Product Pages, In-App Events, and a specific validation checkpoint for the keyword field. sickn33 provides a broad toolkit including Google Play, analytics, and specific JSON input/output schemas. LeoYeAI provides a detailed workflow for competitor analysis and a specific keyword scoring model with percentages. No single copy is a strict superset of the others; combining them captures the full range of strategic, tactical, and analytical steps.