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Conversion rate optimization for app store listings. Analyzes first-impression elements, screenshot narrative, social proof signals, and psychology-based messaging to maximize install rate. Triggers on: "conversion", "install rate", "CRO", "conversion rate".
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SOC 職業分類に基づく
Comprehensive App Store Optimization for iOS and Android apps. Full listing audits with parallel subagents, keyword research, metadata optimization, visual asset analysis, review management, competitor intelligence, localization, A/B testing, technical ASO, and conversion rate optimization.
Apple App Store Connect API integration. Fetch iOS app metadata, reviews, ratings, and version info directly from App Store Connect. Requires API key. Triggers on: "app store connect", "asc".
Live ASO data via AppTweak REST API. Keyword suggestions with volume/difficulty, app rankings, competitor analysis, review sentiment, and historical data. Requires AppTweak API key. Triggers on: "apptweak", "live data", "keyword volume".
Full app listing audit with parallel subagent delegation. Scores listing across core ASO categories (0-100), flags problems, generates prioritized action plan. Works in local mode (auto-detect Fastlane/Xcode/Gradle metadata) or remote mode (fetch live listing by app ID). Triggers on: "audit", "full ASO check", "analyze my app", "listing health check".
Visual asset analysis for app store listings. Screenshots, app icon, preview videos. Evaluates composition, narrative flow, text readability, platform compliance, and conversion impact. Triggers on: "screenshots", "icon", "preview video", "visual assets".
Store policy compliance checker for iOS App Store and Google Play. Validates metadata against Apple App Store Review Guidelines and Google Play Developer Program Policies. Catches violations that would cause rejection. Also validates ASO recommendations from other agents. Triggers on: "compliance", "policy check", "guidelines", "store policies", "review guidelines", "will this get rejected", "is this allowed".
| name | aso-conversion |
| description | Conversion rate optimization for app store listings. Analyzes first-impression elements, screenshot narrative, social proof signals, and psychology-based messaging to maximize install rate. Triggers on: "conversion", "install rate", "CRO", "conversion rate". |
| user-invokable | true |
| argument-hint | <app-id> |
| Platform | Average Conversion |
|---|---|
| iOS App Store | ~25% |
| Google Play | ~27% |
Category variance is significant (10-115%+ range).
What users see WITHOUT scrolling or tapping "Read More":
| Factor | Weight | What to assess |
|---|---|---|
| First 3 screenshots | 25% | Clear value prop, hook, visual quality |
| Title clarity | 20% | Does it explain what the app does? |
| Rating strength | 20% | ≥4.5 = strong, ≥4.0 = acceptable, <4.0 = hurting |
| Social proof | 15% | Review count, awards, editor's choice, download count |
| Subtitle/short desc | 10% | Benefit-oriented, compelling |
| Icon appeal | 10% | Distinctive, professional, recognizable |
# Conversion Analysis: [App Name]
## Score: XX/100
## First-Impression Audit
| Element | Current | Assessment | Recommendation |
|---------|---------|-----------|----------------|
| Icon | [description] | [score] | [improvement] |
| Title | "[current]" | [score] | [improvement] |
| Subtitle/Short Desc | "[current]" | [score] | [improvement] |
| Rating | X.X (Y reviews) | [score] | [improvement] |
| Screenshot 1 | [description] | [score] | [improvement] |
| Screenshot 2 | [description] | [score] | [improvement] |
| Screenshot 3 | [description] | [score] | [improvement] |
## Screenshot Narrative Analysis
[Flow assessment: hook → features → proof]
## Social Proof Signals
[What's present, what's missing]
## Psychology Triggers
[Which are used, which could be added]
## Quick Wins
[Highest-impact, lowest-effort changes]
Read, Bash, Write, Glob, Grep