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app-store-optimization

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App Store Optimization (ASO) Skill

应用商店优化（ASO）技能

This comprehensive skill provides complete ASO capabilities for successfully launching and optimizing mobile applications on the Apple App Store and Google Play Store.
本综合技能提供完整的ASO能力，助力在Apple App Store和Google Play Store上成功发布并优化移动应用。

Capabilities

功能模块

Research & Analysis

研究与分析

  • 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
  • 关键词研究：分析关键词的搜索量、竞争度和与应用发现的相关性
  • 竞品分析：深入研究所在分类中表现优异的应用
  • 市场趋势分析：识别应用分类中的新兴趋势与机会
  • 评论情感分析：从用户评论中提取洞察，明确应用优势与问题
  • 分类分析：评估最优的主分类与子分类布局策略

Metadata Optimization

元数据优化

  • 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
  • 标题优化：结合平台特定字符限制，创作包含最优关键词布局的吸睛标题
  • 描述优化：撰写兼具转化效果与排名能力的短描述和完整描述
  • 副标题/推广文本：针对Apple平台优化30字符的副标题和170字符的推广文本
  • 关键词字段：通过策略性选择，充分利用Apple平台100字符的关键词字段
  • 分类选择：基于数据的主、次分类推荐
  • 图标设计最佳实践：高转化应用图标的设计指南
  • 截图优化：打造能提升安装量的截图策略
  • 预览视频：应用预览视频的最佳实践
  • 本地化：面向全球覆盖的多语言优化策略

Conversion Optimization

转化率优化

  • 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
  • A/B测试框架：规划并跟踪元数据实验，实现持续优化
  • 视觉素材测试：测试图标、截图和视频以实现转化率最大化
  • 商店列表优化：针对曝光到安装的转化，进行全面的页面优化
  • 行动号召（CTA）：优化描述和推广素材中的行动号召内容

Rating & Review Management

评分与评论管理

  • 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
  • 评论监控：跟踪并分析用户评论，获取可落地的洞察
  • 回复策略：评论回复的模板与最佳实践
  • 评分提升：有机提升应用评分的战术方法
  • 问题识别：从评论中挖掘常见问题与功能需求

Launch & Update Strategies

发布与更新策略

  • 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
  • 预发布检查清单：提交至应用商店前的完整验证清单
  • 发布时机：优化发布时间，实现曝光量与下载量最大化
  • 更新频率：规划最优的更新频次与功能推出节奏
  • 功能公告：撰写能重新激活用户的“新增功能”板块内容
  • 季节性优化：利用季节性趋势与活动提升表现

Analytics & Tracking

分析与跟踪

  • 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
  • ASO评分：综合多维度指标计算整体ASO健康得分
  • 关键词排名：跟踪关键词排名随时间的变化
  • 转化指标：监控从曝光到安装的转化率
  • 下载速度：跟踪下载趋势与增长势头
  • 性能基准对比：与分类平均值和竞品进行对比

Platform-Specific Requirements

平台特定要求

  • 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)
  • Apple App Store:
    • 标题：30字符
    • 副标题：30字符
    • 推广文本：170字符（无需更新应用即可编辑）
    • 描述：4000字符
    • 关键词：100字符（逗号分隔，无空格）
    • 新增功能：4000字符
  • Google Play Store:
    • 标题：50字符（2021年从30字符增加）
    • 短描述：80字符
    • 完整描述：4000字符
    • 无独立关键词字段（从标题和描述中提取关键词）

Input Requirements

输入要求

Keyword Research

关键词研究

json
{
  "app_name": "MyApp",
  "category": "Productivity",
  "target_keywords": ["task manager", "productivity", "todo list"],
  "competitors": ["Todoist", "Any.do", "Microsoft To Do"],
  "language": "en-US"
}
json
{
  "app_name": "MyApp",
  "category": "Productivity",
  "target_keywords": ["task manager", "productivity", "todo list"],
  "competitors": ["Todoist", "Any.do", "Microsoft To Do"],
  "language": "en-US"
}

Metadata Optimization

元数据优化

json
{
  "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"]
}
json
{
  "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

评论分析

json
{
  "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"
}
json
{
  "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

ASO评分计算

json
{
  "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
  }
}
json
{
  "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

输出格式

Keyword Research Report

关键词研究报告

  • 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
  • 带搜索量预估的推荐关键词列表
  • 竞争度分析（低/中/高）
  • 各关键词的相关性得分
  • 主、次关键词的策略建议
  • 长尾关键词机会

Optimized Metadata Package

优化后的元数据包

  • 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
  • 符合平台要求的标题（含字符数验证）
  • 副标题/推广文本（Apple平台）
  • 短描述（Google平台）
  • 完整描述（双平台）
  • 关键词字段（Apple平台 - 100字符）
  • 所有字段的字符数验证
  • 关键词密度分析
  • 优化前后对比

Competitor Analysis Report

竞品分析报告

  • Top 10 competitors in category
  • Their metadata strategies
  • Keyword overlap analysis
  • Visual asset assessment
  • Rating and review volume comparison
  • Identified gaps and opportunities
  • 分类前10的竞品
  • 它们的元数据策略
  • 关键词重叠分析
  • 视觉素材评估
  • 评分与评论量对比
  • 识别出的差距与机会

ASO Health Score

ASO健康评分

  • 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
  • 整体得分（0-100）
  • 分类细分得分：
    • 元数据质量（0-25）
    • 评分与评论（0-25）
    • 关键词表现（0-25）
    • 转化指标（0-25）
  • 具体的优化建议
  • 优先级行动项

A/B Test Plan

A/B测试方案

  • Hypothesis and test variables
  • Test duration recommendations
  • Success metrics definition
  • Sample size calculations
  • Statistical significance thresholds
  • 假设与测试变量
  • 测试时长建议
  • 成功指标定义
  • 样本量计算
  • 统计显著性阈值

Launch Checklist

发布检查清单

  • Pre-submission validation (all required assets, metadata)
  • Store compliance verification
  • Testing checklist (devices, OS versions)
  • Marketing preparation items
  • Post-launch monitoring plan
  • 预提交验证（所有必要素材、元数据）
  • 商店合规性验证
  • 测试清单（设备、操作系统版本）
  • 营销准备项
  • 发布后监控方案

How to Use

使用方法

Keyword Research

关键词研究

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.
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

优化应用商店列表

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".
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

分析竞品策略

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.
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

评论情感分析

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?
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

计算ASO评分

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?
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

规划A/B测试

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?
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

预发布检查清单

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?
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

脚本

keyword_analyzer.py

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 metrics
  • compare_keywords()
    : Compare multiple keywords
  • find_long_tail()
    : Discover long-tail keyword opportunities
  • calculate_keyword_difficulty()
    : Assess competition level
分析关键词的搜索量、竞争度和相关性，为主、次关键词提供策略建议。
核心函数：
  • analyze_keyword()
    : 分析单个关键词指标
  • compare_keywords()
    : 对比多个关键词
  • find_long_tail()
    : 发现长尾关键词机会
  • calculate_keyword_difficulty()
    : 评估竞争度

metadata_optimizer.py

metadata_optimizer.py

Optimizes titles, descriptions, and keyword fields with platform-specific character limit validation.
Key Functions:
  • optimize_title()
    : Create compelling, keyword-rich titles
  • optimize_description()
    : Generate conversion-focused descriptions
  • optimize_keyword_field()
    : Maximize Apple's 100-char keyword field
  • validate_character_limits()
    : Ensure compliance with platform limits
  • calculate_keyword_density()
    : Analyze keyword usage in metadata
优化标题、描述和关键词字段，并验证平台特定的字符限制。
核心函数：
  • optimize_title()
    : 创建吸睛且富含关键词的标题
  • optimize_description()
    : 生成聚焦转化的描述
  • optimize_keyword_field()
    : 充分利用Apple平台100字符的关键词字段
  • validate_character_limits()
    : 确保符合平台限制
  • calculate_keyword_density()
    : 分析元数据中的关键词使用密度

competitor_analyzer.py

competitor_analyzer.py

Analyzes top competitors' ASO strategies and identifies opportunities.
Key Functions:
  • get_top_competitors()
    : Identify category leaders
  • analyze_competitor_metadata()
    : Extract and analyze competitor keywords
  • compare_visual_assets()
    : Evaluate icons and screenshots
  • identify_gaps()
    : Find competitive opportunities
分析头部竞品的ASO策略，识别机会。
核心函数：
  • get_top_competitors()
    : 识别分类头部应用
  • analyze_competitor_metadata()
    : 提取并分析竞品关键词
  • compare_visual_assets()
    : 评估图标和截图
  • identify_gaps()
    : 发现竞争机会

aso_scorer.py

aso_scorer.py

Calculates comprehensive ASO health score across multiple dimensions.
Key Functions:
  • calculate_overall_score()
    : Compute 0-100 ASO score
  • score_metadata_quality()
    : Evaluate title, description, keywords
  • score_ratings_reviews()
    : Assess rating quality and volume
  • score_keyword_performance()
    : Analyze ranking positions
  • score_conversion_metrics()
    : Evaluate impression-to-install rates
  • generate_recommendations()
    : Provide prioritized action items
综合多维度计算ASO健康评分。
核心函数：
  • calculate_overall_score()
    : 计算0-100分的ASO总分
  • score_metadata_quality()
    : 评估标题、描述、关键词质量
  • score_ratings_reviews()
    : 评估评分质量与数量
  • score_keyword_performance()
    : 分析排名位置
  • score_conversion_metrics()
    : 评估曝光到安装的转化率
  • generate_recommendations()
    : 提供优先级行动项

ab_test_planner.py

ab_test_planner.py

Plans and tracks A/B tests for metadata and visual assets.
Key Functions:
  • design_test()
    : Create test hypothesis and variables
  • calculate_sample_size()
    : Determine required test duration
  • calculate_significance()
    : Assess statistical significance
  • track_results()
    : Monitor test performance
  • generate_report()
    : Summarize test outcomes
规划并跟踪元数据和视觉素材的A/B测试。
核心函数：
  • design_test()
    : 创建测试假设与变量
  • calculate_sample_size()
    : 确定所需测试时长
  • calculate_significance()
    : 评估统计显著性
  • track_results()
    : 监控测试表现
  • generate_report()
    : 总结测试结果

localization_helper.py

localization_helper.py

Manages multi-language ASO optimization strategies.
Key Functions:
  • identify_target_markets()
    : Recommend localization priorities
  • translate_metadata()
    : Generate localized metadata
  • adapt_keywords()
    : Research locale-specific keywords
  • validate_translations()
    : Check character limits per language
  • calculate_localization_roi()
    : Estimate impact of localization
管理多语言ASO优化策略。
核心函数：
  • identify_target_markets()
    : 推荐本地化优先级
  • translate_metadata()
    : 生成本地化元数据
  • adapt_keywords()
    : 研究区域特定关键词
  • validate_translations()
    : 检查各语言的字符限制
  • calculate_localization_roi()
    : 估算本地化的影响

review_analyzer.py

review_analyzer.py

Analyzes user reviews for sentiment, issues, and feature requests.
Key Functions:
  • analyze_sentiment()
    : Calculate positive/negative/neutral ratios
  • extract_common_themes()
    : Identify frequently mentioned topics
  • identify_issues()
    : Surface bugs and user complaints
  • find_feature_requests()
    : Extract desired features
  • track_sentiment_trends()
    : Monitor sentiment over time
  • generate_response_templates()
    : Create review response drafts
分析用户评论的情感、问题和功能需求。
核心函数：
  • analyze_sentiment()
    : 计算正面/负面/中性比例
  • extract_common_themes()
    : 识别频繁提及的主题
  • identify_issues()
    : 发现漏洞和用户投诉
  • find_feature_requests()
    : 提取所需功能
  • track_sentiment_trends()
    : 监控情感随时间的变化
  • generate_response_templates()
    : 创建评论回复草稿

launch_checklist.py

launch_checklist.py

Generates comprehensive pre-launch and update checklists.
Key Functions:
  • generate_prelaunch_checklist()
    : Complete submission validation
  • validate_app_store_compliance()
    : Check Apple guidelines
  • validate_play_store_compliance()
    : Check Google policies
  • create_update_plan()
    : Plan update cadence and features
  • optimize_launch_timing()
    : Recommend release dates
  • plan_seasonal_campaigns()
    : Identify seasonal opportunities
生成全面的预发布和更新检查清单。
核心函数：
  • generate_prelaunch_checklist()
    : 完整的提交验证
  • validate_app_store_compliance()
    : 检查Apple指南
  • validate_play_store_compliance()
    : 检查Google政策
  • create_update_plan()
    : 规划更新频率与功能
  • optimize_launch_timing()
    : 推荐发布日期
  • plan_seasonal_campaigns()
    : 识别季节性机会

Best Practices

最佳实践

Keyword Research

关键词研究

  1. Volume vs. Competition: Balance high-volume keywords with achievable rankings
  2. Relevance First: Only target keywords genuinely relevant to your app
  3. Long-Tail Strategy: Include 3-4 word phrases with lower competition
  4. Continuous Research: Keyword trends change—research quarterly
  5. Competitor Keywords: Don't copy blindly; ensure relevance to your features
  1. 搜索量与竞争度平衡：平衡高搜索量关键词与可实现的排名
  2. 相关性优先：仅定位与应用真正相关的关键词
  3. 长尾策略：包含3-4个词的低竞争短语
  4. 持续研究：关键词趋势会变化——每季度进行研究
  5. 竞品关键词：不要盲目复制；确保与自身功能相关

Metadata Optimization

元数据优化

  1. Front-Load Keywords: Place most important keywords early in title/description
  2. Natural Language: Write for humans first, SEO second
  3. Feature Benefits: Focus on user benefits, not just features
  4. A/B Test Everything: Test titles, descriptions, screenshots systematically
  5. Update Regularly: Refresh metadata every major update
  6. Character Limits: Use every character—don't waste valuable space
  7. Apple Keyword Field: No plurals, duplicates, or spaces between commas
  1. 前置关键词：将最重要的关键词放在标题/描述的开头
  2. 自然语言：先为用户写作，再考虑SEO
  3. 功能价值：聚焦用户价值，而非仅功能本身
  4. 全面A/B测试：系统地测试标题、描述、截图
  5. 定期更新：每次重大更新时刷新元数据
  6. 字符限制：充分利用每个字符——不要浪费宝贵空间
  7. Apple关键词字段：不要使用复数、重复词，逗号间无空格

Visual Assets

视觉素材

  1. Icon: Must be recognizable at small sizes (60x60px)
  2. Screenshots: First 2-3 are critical—most users don't scroll
  3. Captions: Use screenshot captions to tell your value story
  4. Consistency: Match visual style to app design
  5. A/B Test Icons: Icon is the single most important visual element
  1. 图标：在小尺寸（60x60px）下必须清晰可辨
  2. 截图：前2-3张至关重要——大多数用户不会滚动查看更多
  3. 说明文字：使用截图说明文字讲述价值故事
  4. 一致性：视觉风格与应用设计匹配
  5. A/B测试图标：图标是最重要的视觉元素

Reviews & Ratings

评论与评分

  1. Respond Quickly: Reply to reviews within 24-48 hours
  2. Professional Tone: Always courteous, even with negative reviews
  3. Address Issues: Show you're actively fixing reported problems
  4. Thank Supporters: Acknowledge positive reviews
  5. Prompt Strategically: Ask for ratings after positive experiences
  1. 快速回复：在24-48小时内回复评论
  2. 专业语气：始终保持礼貌，即使面对负面评论
  3. 解决问题：展示你正在积极修复用户反馈的问题
  4. 感谢支持者：认可正面评论
  5. 策略性请求评分：在用户获得积极体验后请求评分

Launch Strategy

发布策略

  1. Soft Launch: Consider launching in smaller markets first
  2. PR Timing: Coordinate press coverage with launch
  3. Update Frequently: Initial updates signal active development
  4. Monitor Closely: Track metrics daily for first 2 weeks
  5. Iterate Quickly: Fix critical issues immediately
  1. 软发布：考虑先在小市场发布
  2. 公关时机：协调媒体报道与发布时间
  3. 频繁更新：初期更新体现活跃的开发状态
  4. 密切监控：发布前2周每日跟踪指标
  5. 快速迭代：立即修复关键问题

Localization

本地化

  1. Prioritize Markets: Start with English, Spanish, Chinese, French, German
  2. Native Speakers: Use professional translators, not machine translation
  3. Cultural Adaptation: Some features resonate differently by culture
  4. Test Locally: Have native speakers review before publishing
  5. Measure ROI: Track downloads by locale to assess impact
  1. 优先市场：从英语、西班牙语、中文、法语、德语开始
  2. 母语人士：使用专业翻译，而非机器翻译
  3. 文化适配：部分功能在不同文化中的反响不同
  4. 本地测试：发布前让母语人士审核
  5. 衡量ROI：按地区跟踪下载量以评估影响

Limitations

局限性

Data Dependencies

数据依赖

  • 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
  • 关键词搜索量预估为近似值（Apple/Google无官方数据）
  • 私有应用的竞品数据可能不完整
  • 评论分析仅限于公开评论（无法访问私有反馈）
  • 新应用可能无历史数据

Platform Constraints

平台限制

  • 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
  • Apple App Store关键词变更需要提交应用（推广文本除外）
  • Google Play Store元数据变更需要1-2小时索引
  • A/B测试需要足够流量以实现统计显著性
  • 商店算法为专有且会无预警变更

Industry Variability

行业差异

  • 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
  • ASO基准因分类而异（游戏 vs 工具类）
  • 季节性对不同分类的影响不同
  • 不同地理市场的竞争格局不同
  • 文化偏好影响不同地区的有效策略

Scope Boundaries

范围边界

  • 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)
  • 不包含付费用户获取策略（Apple Search Ads、Google Ads）
  • 不覆盖应用开发或UI/UX优化
  • 不包含应用分析实施（使用Firebase、Mixpanel等工具）
  • 不处理应用提交的技术问题（配置文件、证书）

When NOT to Use This Skill

不适用场景

  • 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)
  • 网页应用（适用不同的SEO策略）
  • 未在公开商店上架的企业应用
  • 仅处于beta/TestFlight阶段的应用
  • 需要付费广告策略的场景（使用营销类技能）

Integration with Other Skills

与其他技能的集成

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
本技能可与以下技能协同使用：
  • 内容策略技能：用于创建应用描述和营销文案
  • 分析技能：用于分析下载和参与度数据
  • 本地化技能：用于管理多语言内容
  • 设计技能：用于创建优化的视觉素材
  • 营销技能：用于协调更广泛的发布活动

Version & Updates

版本与更新

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)
本技能基于2025年11月的Apple App Store和Google Play Store当前要求。商店政策和最佳实践会不断演变——重大发布前请验证当前要求。
需关注的关键更新：
  • Apple App Store Connect更新（apple.com/app-store/review/guidelines）
  • Google Play Console更新（play.google.com/console/about/guides/releasewithconfidence）
  • iOS/Android版本采用率（影响设备测试）
  • 商店算法变更（关注ASO博客和社区）