App Store Optimization
Marketing skill, available on Zeplik
App Store Optimization is a ready-to-run marketing skill on Zeplik. Use when the user wants to improve a mobile app's App Store or Google Play presence — 'ASO', app keyword research, title/subtitle/description metadata optimization, screenshot strategy, review analysis, competitor ASO, localization, app launch checklists. Ask in plain language and Zeplik applies the skill's method for you inside the conversation, on whichever AI model you prefer.
The App Store Optimization skill loads automatically when your request matches it, or you can invoke it directly by typing /app-store-optimization in any chat. It works with attachments, connectors, and any model that supports the task, so you get the same expert method every time without setting anything up.
What the App Store Optimization skill can do
- Research keyword volume, competition, and relevance for app discovery
- Optimize titles, subtitles, descriptions, and keyword fields per platform limits
- Analyze competitor metadata, visuals, and keyword overlap in your category
- Calculate an ASO health score covering metadata, ratings, and conversion metrics
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How the App Store Optimization skill works
App Store Optimization (ASO) Skill
This comprehensive skill provides complete ASO capabilities for successfully launching and optimizing mobile applications on the Apple App Store and Google Play Store.
Capabilities
Research & Analysis
- Keyword Research: Analyze keyword volume, competition, and relevance for app discovery
- Competitor Analysis: Deep-dive into top-performing apps in your category
- Market Trend Analysis: Identify emerging trends and opportunities in your app category
- Review Sentiment Analysis: Extract insights from user reviews to identify strengths and issues
- Category Analysis: Evaluate optimal category and subcategory placement strategies
Metadata Optimization
- Title Optimization: Create compelling titles with optimal keyword placement (platform-specific character limits)
- Description Optimization: Craft both short and full descriptions that convert and rank
- Subtitle/Promotional Text: Optimize Apple-specific subtitle (30 chars) and promotional text (170 chars)
- Keyword Field: Maximize Apple's 100-character keyword field with strategic selection
- Category Selection: Data-driven recommendations for primary and secondary categories
- Icon Best Practices: Guidelines for designing high-converting app icons
- Screenshot Optimization: Strategies for creating screenshots that drive installs
- Preview Video: Best practices for app preview videos
- Localization: Multi-language optimization strategies for global reach
Conversion Optimization
- A/B Testing Framework: Plan and track metadata experiments for continuous improvement
- Visual Asset Testing: Test icons, screenshots, and videos for maximum conversion
- Store Listing Optimization: Comprehensive page optimization for impression-to-install conversion
- Call-to-Action: Optimize CTAs in descriptions and promotional materials
Rating & Review Management
- Review Monitoring: Track and analyze user reviews for actionable insights
- Response Strategies: Templates and best practices for responding to reviews
- Rating Improvement: Tactical approaches to improve app ratings organically
- Issue Identification: Surface common problems and feature requests from reviews
Launch & Update Strategies
- Pre-Launch Checklist: Complete validation before submitting to stores
- Launch Timing: Optimize release timing for maximum visibility and downloads
- Update Cadence: Plan optimal update frequency and feature rollouts
- Feature Announcements: Craft "What's New" sections that re-engage users
- Seasonal Optimization: Leverage seasonal trends and events
Analytics & Tracking
- ASO Score: Calculate overall ASO health score across multiple factors
- Keyword Rankings: Track keyword position changes over time
- Conversion Metrics: Monitor impression-to-install conversion rates
- Download Velocity: Track download trends and momentum
- Performance Benchmarking: Compare against category averages and competitors
Platform-Specific Requirements
- Apple App Store:
- Title: 30 characters
- Subtitle: 30 characters
- Promotional Text: 170 characters (editable without app update)
- Description: 4,000 characters
- Keywords: 100 characters (comma-separated, no spaces)
- What's New: 4,000 characters
- Google Play Store:
- Title: 50 characters (formerly 30, increased in 2021)
- Short Description: 80 characters
- Full Description: 4,000 characters
- No separate keyword field (keywords extracted from title and description)
Input Requirements
Keyword Research
{
"app_name": "MyApp",
"category": "Productivity",
"target_keywords": ["task manager", "productivity", "todo list"],
"competitors": ["Todoist", "Any.do", "Microsoft To Do"],
"language": "en-US"
}
Metadata Optimization
{
"platform": "apple" | "google",
"app_info": {
"name": "MyApp",
"category": "Productivity",
"target_audience": "Professionals aged 25-45",
"key_features": ["Task management", "Team collaboration", "AI assistance"],
"unique_value": "AI-powered task prioritization"
},
"current_metadata": {
"title": "Current Title",
"subtitle": "Current Subtitle",
"description": "Current description..."
},
"target_keywords": ["productivity", "task manager", "todo"]
}
Review Analysis
{
"app_id": "com.myapp.app",
"platform": "apple" | "google",
"date_range": "last_30_days" | "last_90_days" | "all_time",
"rating_filter": [1, 2, 3, 4, 5],
"language": "en"
}
ASO Score Calculation
{
"metadata": {
"title_quality": 0.8,
"description_quality": 0.7,
"keyword_density": 0.6
},
"ratings": {
"average_rating": 4.5,
"total_ratings": 15000
},
"conversion": {
"impression_to_install": 0.05
},
"keyword_rankings": {
"top_10": 5,
"top_50": 12,
"top_100": 18
}
}
Output Formats
Keyword Research Report
- List of recommended keywords with search volume estimates
- Competition level analysis (low/medium/high)
- Relevance scores for each keyword
- Strategic recommendations for primary vs. secondary keywords
- Long-tail keyword opportunities
Optimized Metadata Package
- Platform-specific title (with character count validation)
- Subtitle/promotional text (Apple)
- Short description (Google)
- Full description (both platforms)
- Keyword field (Apple - 100 chars)
- Character count validation for all fields
- Keyword density analysis
- Before/after comparison
Competitor Analysis Report
- Top 10 competitors in category
- Their metadata strategies
- Keyword overlap analysis
- Visual asset assessment
- Rating and review volume comparison
- Identified gaps and opportunities
ASO Health Score
- Overall score (0-100)
- Category breakdown:
- Metadata Quality (0-25)
- Ratings & Reviews (0-25)
- Keyword Performance (0-25)
- Conversion Metrics (0-25)
- Specific improvement recommendations
- Priority action items
A/B Test Plan
- Hypothesis and test variables
- Test duration recommendations
- Success metrics definition
- Sample size calculations
- Statistical significance thresholds
Launch Checklist
- Pre-submission validation (all required assets, metadata)
- Store compliance verification
- Testing checklist (devices, OS versions)
- Marketing preparation items
- Post-launch monitoring plan
How to Use
Keyword Research
Hey Claude—I just added the "app-store-optimization" skill. Can you research the best keywords for a productivity app targeting professionals? Focus on keywords with good search volume but lower competition.
Optimize App Store Listing
Hey Claude—I just added the "app-store-optimization" skill. Can you optimize my app's metadata for the Apple App Store? Here's my current listing: [provide current metadata]. I want to rank for "task management" and "productivity tools".
Analyze Competitor Strategy
Hey Claude—I just added the "app-store-optimization" skill. Can you analyze the ASO strategies of Todoist, Any.do, and Microsoft To Do? I want to understand what they're doing well and where there are opportunities.
Review Sentiment Analysis
Hey Claude—I just added the "app-store-optimization" skill. Can you analyze recent reviews for my app (com.myapp.ios) and identify the most common user complaints and feature requests?
Calculate ASO Score
Hey Claude—I just added the "app-store-optimization" skill. Can you calculate my app's overall ASO health score and provide specific recommendations for improvement?
Plan A/B Test
Hey Claude—I just added the "app-store-optimization" skill. I want to A/B test my app icon and first screenshot. Can you help me design the test and determine how long to run it?
Pre-Launch Checklist
Hey Claude—I just added the "app-store-optimization" skill. Can you generate a comprehensive pre-launch checklist for submitting my app to both Apple App Store and Google Play Store?
Scripts
keyword_analyzer.py
Analyzes keywords for search volume, competition, and relevance. Provides strategic recommendations for primary and secondary keywords.
Key Functions:
analyze_keyword(): Analyze single keyword metricscompare_keywords(): Compare multiple keywordsfind_long_tail(): Discover long-tail keyword opportunitiescalculate_keyword_difficulty(): Assess competition level
metadata_optimizer.py
Optimizes titles, descriptions, and keyword fields with platform-specific character limit validation.
Key Functions:
optimize_title(): Create compelling, keyword-rich titlesoptimize_description(): Generate conversion-focused descriptionsoptimize_keyword_field(): Maximize Apple's 100-char keyword fieldvalidate_character_limits(): Ensure compliance with platform limitscalculate_keyword_density(): Analyze keyword usage in metadata
competitor_analyzer.py
Analyzes top competitors' ASO strategies and identifies opportunities.
Key Functions:
get_top_competitors(): Identify category leadersanalyze_competitor_metadata(): Extract and analyze competitor keywordscompare_visual_assets(): Evaluate icons and screenshotsidentify_gaps(): Find competitive opportunities
aso_scorer.py
Calculates comprehensive ASO health score across multiple dimensions.
Key Functions:
calculate_overall_score(): Compute 0-100 ASO scorescore_metadata_quality(): Evaluate title, description, keywordsscore_ratings_reviews(): Assess rating quality and volumescore_keyword_performance(): Analyze ranking positionsscore_conversion_metrics(): Evaluate impression-to-install ratesgenerate_recommendations(): Provide prioritized action items
ab_test_planner.py
Plans and tracks A/B tests for metadata and visual assets.
Key Functions:
design_test(): Create test hypothesis and variablescalculate_sample_size(): Determine required test durationcalculate_significance(): Assess statistical significancetrack_results(): Monitor test performancegenerate_report(): Summarize test outcomes
localization_helper.py
Manages multi-language ASO optimization strategies.
Key Functions:
identify_target_markets(): Recommend localization prioritiestranslate_metadata(): Generate localized metadataadapt_keywords(): Research locale-specific keywordsvalidate_translations(): Check character limits per languagecalculate_localization_roi(): Estimate impact of localization
review_analyzer.py
Analyzes user reviews for sentiment, issues, and feature requests.
Key Functions:
analyze_sentiment(): Calculate positive/negative/neutral ratiosextract_common_themes(): Identify frequently mentioned topicsidentify_issues(): Surface bugs and user complaintsfind_feature_requests(): Extract desired featurestrack_sentiment_trends(): Monitor sentiment over timegenerate_response_templates(): Create review response drafts
launch_checklist.py
Generates comprehensive pre-launch and update checklists.
Key Functions:
generate_prelaunch_checklist(): Complete submission validationvalidate_app_store_compliance(): Check Apple guidelinesvalidate_play_store_compliance(): Check Google policiescreate_update_plan(): Plan update cadence and featuresoptimize_launch_timing(): Recommend release datesplan_seasonal_campaigns(): Identify seasonal opportunities
Best Practices
Keyword Research
- Volume vs. Competition: Balance high-volume keywords with achievable rankings
- Relevance First: Only target keywords genuinely relevant to your app
- Long-Tail Strategy: Include 3-4 word phrases with lower competition
- Continuous Research: Keyword trends change—research quarterly
- Competitor Keywords: Don't copy blindly; ensure relevance to your features
Metadata Optimization
- Front-Load Keywords: Place most important keywords early in title/description
- Natural Language: Write for humans first, SEO second
- Feature Benefits: Focus on user benefits, not just features
- A/B Test Everything: Test titles, descriptions, screenshots systematically
- Update Regularly: Refresh metadata every major update
- Character Limits: Use every character—don't waste valuable space
- Apple Keyword Field: No plurals, duplicates, or spaces between commas
Visual Assets
- Icon: Must be recognizable at small sizes (60x60px)
- Screenshots: First 2-3 are critical—most users don't scroll
- Captions: Use screenshot captions to tell your value story
- Consistency: Match visual style to app design
- A/B Test Icons: Icon is the single most important visual element
Reviews & Ratings
- Respond Quickly: Reply to reviews within 24-48 hours
- Professional Tone: Always courteous, even with negative reviews
- Address Issues: Show you're actively fixing reported problems
- Thank Supporters: Acknowledge positive reviews
- Prompt Strategically: Ask for ratings after positive experiences
Launch Strategy
- Soft Launch: Consider launching in smaller markets first
- PR Timing: Coordinate press coverage with launch
- Update Frequently: Initial updates signal active development
- Monitor Closely: Track metrics daily for first 2 weeks
- Iterate Quickly: Fix critical issues immediately
Localization
- Prioritize Markets: Start with English, Spanish, Chinese, French, German
- Native Speakers: Use professional translators, not machine translation
- Cultural Adaptation: Some features resonate differently by culture
- Test Locally: Have native speakers review before publishing
- Measure ROI: Track downloads by locale to assess impact
Limitations
Data Dependencies
- 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
Platform Constraints
- 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
Industry Variability
- ASO benchmarks vary significantly by category (games vs. utilities)
- Seasonality affects different categories differently
- Geographic markets have different competitive landscapes
- Cultural preferences impact what works in different countries
Scope Boundaries
- Does not include paid user acquisition strategies (Apple Search Ads, Google Ads)
- Does not cover app development or UI/UX optimization
- Does not include app analytics implementation (use Firebase, Mixpanel, etc.)
- Does not handle app submission technical issues (provisioning profiles, certificates)
When NOT to Use This Skill
- For web apps (different SEO strategies apply)
- For enterprise apps not in public stores
- For apps in beta/TestFlight only
- If you need paid advertising strategies (use marketing skills instead)
Integration with Other Skills
This skill works well with:
- Content Strategy Skills: For creating app descriptions and marketing copy
- Analytics Skills: For analyzing download and engagement data
- Localization Skills: For managing multi-language content
- Design Skills: For creating optimized visual assets
- Marketing Skills: For coordinating broader launch campaigns
Version & Updates
This skill is based on current Apple App Store and Google Play Store requirements as of November 2025. Store policies and best practices evolve—verify current requirements before major launches.
Key Updates to Monitor:
- Apple App Store Connect updates (apple.com/app-store/review/guidelines)
- Google Play Console updates (play.google.com/console/about/guides/releasewithconfidence)
- iOS/Android version adoption rates (affects device testing)
- Store algorithm changes (follow ASO blogs and communities)
Zeplik output presentation
Present the final deliverable as a single polished artifact: clear headings, tables where the content is tabular, fenced code where it is code. Lead with the deliverable itself; keep process commentary to a single short line. If the skill produced multiple files or sections, end with a compact list of them with one-line purposes.
How to use the App Store Optimization skill
Sign in to Zeplik
Create a free Zeplik account or sign in. New accounts start with free credits, so you can try the App Store Optimization skill right away.
Describe your marketing task
Ask in plain language, or type /app-store-optimization to invoke the skill directly. Zeplik recognizes the App Store Optimization skill and applies its method.
Review and refine the result
Zeplik returns a clear, structured answer. Ask follow-ups in the same chat to refine it or take the next step.
Source and credit
- Author
- davila7 community
- License
- MIT
Adapted from the open-source davila7/claude-code-templates project and tuned to run natively on Zeplik. View source on GitHub.
Frequently asked questions
- What is the App Store Optimization skill?
- App Store Optimization is a ready-to-run marketing skill on Zeplik. Use when the user wants to improve a mobile app's App Store or Google Play presence — 'ASO', app keyword research, title/subtitle/description metadata optimization, screenshot strategy, review analysis, competitor ASO, localization, app launch checklists. Ask in plain language and Zeplik applies the skill's method for you inside the conversation, on whichever AI model you prefer.
- How do I use App Store Optimization on Zeplik?
- Sign in to Zeplik and ask in plain language, or type /app-store-optimization in any chat to invoke it directly. The skill applies its method and returns a result you can refine in the same conversation.
- Which AI model does the App Store Optimization skill use?
- Any model you choose. Zeplik works across every model in one chat, so the App Store Optimization skill runs on your preferred model for the task.
- Where does the App Store Optimization skill come from?
- The App Store Optimization skill is adapted from the open-source davila7/claude-code-templates project (MIT) and tuned to run natively on Zeplik. The original source is linked on this page.
- How much does the App Store Optimization skill cost?
- Using the skill is free to start. You only spend Zeplik credits when the assistant runs, and new accounts begin with free credits.
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More on Zeplik
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