App Store Optimization

alirezarezvani/claude-skills/marketing-skill/skills/app-store-optimization

作者 alirezarezvani19392f7a0826无许可证27K 个星标收录于 2026年10月8日更新于 2026年10月8日仓库5周前更新

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.

包含脚本Marketing & Sales
AI 生成的概览

用于应用商店关键词研究、元数据优化、竞品分析、发布规划与 A/B 测试的 ASO 工具包。

功能
该技能提供一套应用商店优化工作流程,涵盖关键词研究与评分、按 Apple 与 Google Play 字符限制优化元数据、竞品关键词差距分析、发布清单、A/B 测试规划以及评论分析。产出包括带搜索量与难度评分的关键词列表、改写后的标题、副标题、描述与关键词字段、审计报告和测试计划。它附带八个 Python 脚本、参考文档和一份审计模板。
适用场景
当用户询问 ASO、应用商店排名、应用标题与描述、应用商店列表、应用曝光度或 iOS 与 Android 移动应用营销时使用。不适用于网页应用、企业或内部应用、仅 TestFlight 的测试版或付费广告策略。
运行要求
需要 Python 运行环境来执行随附脚本(keyword_analyzer.py、metadata_optimizer.py、competitor_analyzer.py、aso_scorer.py、ab_test_planner.py、review_analyzer.py、launch_checklist.py、localization_helper.py)。关键词搜索量仅为估算值,竞品数据仅来自公开列表。

App Store Optimization (ASO)


Keyword Research Workflow

Discover and evaluate keywords that drive app store visibility.

Workflow: Conduct Keyword Research

  1. Define target audience and core app functions:
    • Primary use case (what problem does the app solve)
    • Target user demographics
    • Competitive category
  2. Generate seed keywords from:
    • App features and benefits
    • User language (not developer terminology)
    • App store autocomplete suggestions
  3. Expand keyword list using:
    • Modifiers (free, best, simple)
    • Actions (create, track, organize)
    • Audiences (for students, for teams, for business)
  4. Evaluate each keyword:
    • Search volume (estimated monthly searches)
    • Competition (number and quality of ranking apps)
    • Relevance (alignment with app function)
  5. Score and prioritize keywords:
    • Primary: Title and keyword field (iOS)
    • Secondary: Subtitle and short description
    • Tertiary: Full description only
  6. Map keywords to metadata locations
  7. Document keyword strategy for tracking
  8. Validation: Keywords scored; placement mapped; no competitor brand names included; no plurals in iOS keyword field

Keyword Evaluation Criteria

FactorWeightHigh Score Indicators
Relevance35%Describes core app function
Volume25%10,000+ monthly searches
Competition25%Top 10 apps have <4.5 avg rating
Conversion15%Transactional intent ("best X app")

Keyword Placement Priority

LocationSearch Weight
App TitleHighest
Subtitle (iOS)High
Keyword Field (iOS)High
Short Description (Android)High
Full DescriptionMedium

See: references/keyword-research-guide.md [blocked]


Metadata Optimization Workflow

Optimize app store listing elements for search ranking and conversion.

Workflow: Optimize App Metadata

  1. Audit current metadata against platform limits:
    • Title character count and keyword presence
    • Subtitle/short description usage
    • Keyword field efficiency (iOS)
    • Description keyword density
  2. Optimize title following formula:
    [Brand Name] - [Primary Keyword] [Secondary Keyword]
  3. Write subtitle (iOS) or short description (Android):
    • Focus on primary benefit
    • Include secondary keyword
    • Use action verbs
  4. Optimize keyword field (iOS only):
    • Remove duplicates from title
    • Remove plurals (Apple indexes both forms)
    • No spaces after commas
    • Prioritize by score
  5. Rewrite full description:
    • Hook paragraph with value proposition
    • Feature bullets with keywords
    • Social proof section
    • Call to action
  6. Validate character counts for each field
  7. Calculate keyword density (target 2-3% primary)
  8. Validation: All fields within character limits; primary keyword in title; no keyword stuffing (>5%); natural language preserved

Platform Character Limits

FieldApple App StoreGoogle Play Store
Title30 characters50 characters
Subtitle30 charactersN/A
Short DescriptionN/A80 characters
Keywords100 charactersN/A
Promotional Text170 charactersN/A
Full Description4,000 characters4,000 characters
What's New4,000 characters500 characters

Description Structure

PARAGRAPH 1: Hook (50-100 words)├── Address user pain point├── State main value proposition└── Include primary keyword
PARAGRAPH 2-3: Features (100-150 words)├── Top 5 features with benefits├── Bullet points for scanability└── Secondary keywords naturally integrated
PARAGRAPH 4: Social Proof (50-75 words)├── Download count or rating├── Press mentions or awards└── Summary of user testimonials
PARAGRAPH 5: Call to Action (25-50 words)├── Clear next step└── Reassurance (free trial, no signup)

See: references/platform-requirements.md [blocked]


Competitor Analysis Workflow

Analyze top competitors to identify keyword gaps and positioning opportunities.

Workflow: Analyze Competitor ASO Strategy

  1. Identify top 10 competitors:
    • Direct competitors (same core function)
    • Indirect competitors (overlapping audience)
    • Category leaders (top downloads)
  2. Extract competitor keywords from:
    • App titles and subtitles
    • First 100 words of descriptions
    • Visible metadata patterns
  3. Build competitor keyword matrix:
    • Map which keywords each competitor targets
    • Calculate coverage percentage per keyword
  4. Identify keyword gaps:
    • Keywords with <40% competitor coverage
    • High volume terms competitors miss
    • Long-tail opportunities
  5. Analyze competitor visual assets:
    • Icon design patterns
    • Screenshot messaging and style
    • Video presence and quality
  6. Compare ratings and review patterns:
    • Average rating by competitor
    • Common praise themes
    • Common complaint themes
  7. Document positioning opportunities
  8. Validation: 10+ competitors analyzed; keyword matrix complete; gaps identified with volume estimates; visual audit documented

Competitor Analysis Matrix

Analysis AreaData Points
KeywordsTitle keywords, description frequency
MetadataCharacter utilization, keyword density
VisualsIcon style, screenshot count/style
RatingsAverage rating, total count, velocity
ReviewsTop praise, top complaints

Gap Analysis Template

Opportunity TypeExampleAction
Keyword gap"habit tracker" (40% coverage)Add to keyword field
Feature gapCompetitor lacks widgetHighlight in screenshots
Visual gapNo videos in top 5Create app preview
Messaging gapNone mention "free"Test free positioning

App Launch Workflow

Execute a structured launch for maximum initial visibility.

Workflow: Launch App to Stores

  1. Complete pre-launch preparation (4 weeks before):
    • Finalize keywords and metadata
    • Prepare all visual assets
    • Set up analytics (Firebase, Mixpanel)
    • Build press kit and media list
  2. Submit for review (2 weeks before):
    • Complete all store requirements
    • Verify compliance with guidelines
    • Prepare launch communications
  3. Configure post-launch systems:
    • Set up review monitoring
    • Prepare response templates
    • Configure rating prompt timing
  4. Execute launch day:
    • Verify app is live in both stores
    • Announce across all channels
    • Begin review response cycle
  5. Monitor initial performance (days 1-7):
    • Track download velocity hourly
    • Monitor reviews and respond within 24 hours
    • Document any issues for quick fixes
  6. Conduct 7-day retrospective:
    • Compare performance to projections
    • Identify quick optimization wins
    • Plan first metadata update
  7. Schedule first update (2 weeks post-launch)
  8. Validation: App live in stores; analytics tracking; review responses within 24h; download velocity documented; first update scheduled

Pre-Launch Checklist

CategoryItems
MetadataTitle, subtitle, description, keywords
Visual AssetsIcon, screenshots (all sizes), video
ComplianceAge rating, privacy policy, content rights
TechnicalApp binary, signing certificates
AnalyticsSDK integration, event tracking
MarketingPress kit, social content, email ready

Launch Timing Considerations

FactorRecommendation
Day of weekTuesday-Wednesday (avoid weekends)
Time of dayMorning in target market timezone
SeasonalAlign with relevant category seasons
CompetitionAvoid major competitor launch dates

See: references/aso-best-practices.md [blocked]


A/B Testing Workflow

Test metadata and visual elements to improve conversion rates.

Workflow: Run A/B Test

  1. Select test element (prioritize by impact):
    • Icon (highest impact)
    • Screenshot 1 (high impact)
    • Title (high impact)
    • Short description (medium impact)
  2. Form hypothesis:
    If we [change], then [metric] will [improve/increase] by [amount]because [rationale].
  3. Create variants:
    • Control: Current version
    • Treatment: Single variable change
  4. Calculate required sample size:
    • Baseline conversion rate
    • Minimum detectable effect (usually 5%)
    • Statistical significance (95%)
  5. Launch test:
    • Apple: Use Product Page Optimization
    • Android: Use Store Listing Experiments
  6. Run test for minimum duration:
    • At least 7 days
    • Until statistical significance reached
  7. Analyze results:
    • Compare conversion rates
    • Check statistical significance
    • Document learnings
  8. Validation: Single variable tested; sample size sufficient; significance reached (95%); results documented; winner implemented

A/B Test Prioritization

ElementConversion ImpactTest Complexity
App Icon10-25% lift possibleMedium (design needed)
Screenshot 115-35% lift possibleMedium
Title5-15% lift possibleLow
Short Description5-10% lift possibleLow
Video10-20% lift possibleHigh

Sample Size Quick Reference

Baseline CVRImpressions Needed (per variant)
1%31,000
2%15,500
5%6,200
10%3,100

Test Documentation Template

TEST ID: ASO-2025-001ELEMENT: App IconHYPOTHESIS: A bolder color icon will increase conversion by 10%START DATE: [Date]END DATE: [Date]
RESULTS:├── Control CVR: 4.2%├── Treatment CVR: 4.8%├── Lift: +14.3%├── Significance: 97%└── Decision: Implement treatment
LEARNINGS:- Bold colors outperform muted tones in this category- Apply to screenshot backgrounds for next test

Before/After Examples

Title Optimization

Productivity App:

VersionTitleAnalysis
Before"MyTasks"No keywords, brand only (8 chars)
After"MyTasks - Todo List & Planner"Primary + secondary keywords (29 chars)

Fitness App:

VersionTitleAnalysis
Before"FitTrack Pro"Generic modifier (12 chars)
After"FitTrack: Workout Log & Gym"Category keywords (27 chars)

Subtitle Optimization (iOS)

VersionSubtitleAnalysis
Before"Get Things Done"Vague, no keywords
After"Daily Task Manager & Planner"Two keywords, benefit clear

Keyword Field Optimization (iOS)

Before (Inefficient - 89 chars, 8 keywords):

task manager, todo list, productivity app, daily planner, reminder app

After (Optimized - 97 chars, 14 keywords):

task,todo,checklist,reminder,organize,daily,planner,schedule,deadline,goals,habit,widget,sync,team

Improvements:

  • Removed spaces after commas (+8 chars)
  • Removed duplicates (task manager → task)
  • Removed plurals (reminders → reminder)
  • Removed words in title
  • Added more relevant keywords

Description Opening

Before:

MyTasks is a comprehensive task management solution designedto help busy professionals organize their daily activitiesand boost productivity.

After:

Forget missed deadlines. MyTasks keeps every task, reminder,and project in one place—so you focus on doing, not remembering.Trusted by 500,000+ professionals.

Improvements:

  • Leads with user pain point
  • Specific benefit (not generic "boost productivity")
  • Social proof included
  • Keywords natural, not stuffed

Screenshot Caption Evolution

VersionCaptionIssue
Before"Task List Feature"Feature-focused, passive
Better"Create Task Lists"Action verb, but still feature
Best"Never Miss a Deadline"Benefit-focused, emotional

Tools and References

Scripts

ScriptPurposeUsage
keyword_analyzer.py [blocked]Analyze keywords for volume and competitionpython keyword_analyzer.py --keywords "todo,task,planner"
metadata_optimizer.py [blocked]Validate metadata character limits and densitypython metadata_optimizer.py --platform ios --title "App Title"
competitor_analyzer.py [blocked]Extract and compare competitor keywordspython competitor_analyzer.py --competitors "App1,App2,App3"
aso_scorer.py [blocked]Calculate overall ASO health scorepython aso_scorer.py --app-id com.example.app
ab_test_planner.py [blocked]Plan tests and calculate sample sizespython ab_test_planner.py --cvr 0.05 --lift 0.10
review_analyzer.py [blocked]Analyze review sentiment and themespython review_analyzer.py --app-id com.example.app
launch_checklist.py [blocked]Generate platform-specific launch checklistspython launch_checklist.py --platform ios
localization_helper.py [blocked]Manage multi-language metadatapython localization_helper.py --locales "en,es,de,ja"

References

DocumentContent
platform-requirements.md [blocked]iOS and Android metadata specs, visual asset requirements
aso-best-practices.md [blocked]Optimization strategies, rating management, launch tactics
keyword-research-guide.md [blocked]Research methodology, evaluation framework, tracking

Assets

TemplatePurpose
aso-audit-template.md [blocked]Structured audit checklist for app store listings

Platform Notes

Platform / ConstraintBehavior / Impact
iOS keyword changesRequire app submission
iOS promotional textEditable without an app update
Android metadata changesIndex in 1-2 hours
Android keyword fieldNone — use description instead
Keyword volume dataEstimates only; no official source
Competitor dataPublic listings only

When not to use this skill: web apps (use web SEO), enterprise/internal apps, TestFlight-only betas, or paid advertising strategy.


Related Skills

SkillIntegration Point
content-creatorApp description copywriting
marketing-demand-acquisitionLaunch promotion campaigns
marketing-strategy-pmmGo-to-market planning

Proactive Triggers

  • No keyword optimization in title → App title is the #1 ranking factor. Include top keyword.
  • Screenshots don't show value → Screenshots should tell a story, not show UI.
  • No ratings strategy → Below 4.0 stars kills conversion. Implement in-app rating prompts.
  • Description keyword-stuffed → Natural language with keywords beats keyword stuffing.

Output Artifacts

When you ask for...You get...
"ASO audit"Full app store listing audit with prioritized fixes
"Keyword research"Keyword list with search volume and difficulty scores
"Optimize my listing"Rewritten title, subtitle, description, keyword field

Communication

All output passes quality verification:

  • Self-verify: source attribution, assumption audit, confidence scoring
  • Output format: Bottom Line → What (with confidence) → Why → How to Act
  • Results only. Every finding tagged: 🟢 verified, 🟡 medium, 🔴 assumed.

来源与署名

来源:alirezarezvani/claude-skills位于marketing-skill/skills/app-store-optimization提交19392f7

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