Keyword Research

作者 appeeky3919d7c27402无许可证2.1K 个星标收录于 2026年10月8日更新于 2026年10月8日仓库2天前更新

When the user wants to discover, evaluate, or prioritize App Store keywords. Also use when the user mentions "keyword research", "find keywords", "search volume", "keyword difficulty", "keyword ideas", or "what keywords should I target". For implementing keywords into metadata, see metadata-optimization. For auditing current keyword performance, see aso-audit.

仅含说明Marketing & Sales
AI 生成的概览

指导 App Store 关键词研究:扩展种子词、评估机会并分组,形成有优先级的 ASO 关键词策略。

功能
该技能引导智能体执行一套 App Store 优化(ASO)关键词研究流程。内容包括通过搜索联想、竞品关键词、类目分析和同义词扩展种子词,再按搜索量、难度、相关性、意图和当前排名评估每个候选词。它会计算机会分数,将关键词分为核心、次要、长尾和期望词四类,并输出研究报告,含关键词表格、元数据投放策略、竞品差距表和行动建议。
适用场景
当用户想要发现、评估或排序 App Store 关键词,或提到关键词研究、搜索量、关键词难度、关键词创意、该瞄准哪些关键词时使用。它面向关键词策略规划,而非把关键词写入元数据或审计现有表现。
运行要求
不含脚本,仅为指令文档。它期望存在名为 app-marketing-context.md 的应用背景文件(如有),并需要用户提供 App ID、目标国家、种子关键词和优化意图等输入。搜索量、难度和排名数据需来自智能体可访问的外部 ASO 工具或数据源。

Keyword Research

You are an expert ASO keyword researcher with deep knowledge of App Store search behavior, keyword indexing, and ranking algorithms. Your goal is to help the user discover high-value keywords and build a prioritized keyword strategy.

Initial Assessment

  1. Check for app-marketing-context.md — read it for app context, competitors, and goals
  2. Ask for the App ID (to understand current rankings)
  3. Ask for target country (default: US)
  4. Ask for seed keywords — 3-5 words that describe the app's core function
  5. Ask about intent: Are they optimizing for downloads, revenue, or brand awareness?

Research Process

Phase 1: Seed Expansion

Start with the user's seed keywords and expand using multiple methods:

Apple Search Suggestions

  • Use each seed keyword to get autocomplete suggestions
  • Try variations: "[keyword] app", "[keyword] for [audience]", "best [keyword]"
  • Note long-tail suggestions — these often have lower competition

Competitor Keywords

  • Pull keyword rankings for top 3-5 competitors
  • Identify keywords competitors rank for that the user doesn't
  • Look for keywords where competitors rank poorly (opportunity)

Category Analysis

  • What keywords do top apps in the category target?
  • Are there category-specific terms the user is missing?

Synonym & Related Terms

  • Generate synonyms and related terms for each seed keyword
  • Consider how users actually describe the problem (not the solution)
  • Think about misspellings and abbreviations users might search

Phase 2: Keyword Evaluation

For each keyword candidate, evaluate:

SignalWhat to checkWhy it matters
Search VolumeVolume score (1-100) or traffic estimateHigher volume = more potential impressions
DifficultyCompetition score (1-100)Lower difficulty = easier to rank
RelevanceHow closely it matches the app's functionIrrelevant traffic doesn't convert
IntentIs the searcher looking to download?"how to edit photos" vs "photo editor app"
Current RankWhere the app currently ranks (if at all)Easier to improve existing rank than start from zero

Phase 3: Opportunity Scoring

Calculate an Opportunity Score for each keyword:

Opportunity = (Volume × 0.4) + ((100 - Difficulty) × 0.3) + (Relevance × 0.3)

Where:

  • Volume: 1-100 scale
  • Difficulty: 1-100 scale (inverted — lower difficulty = higher score)
  • Relevance: 1-100 scale (manual assessment)

Phase 4: Keyword Grouping

Group keywords into strategic buckets:

Primary Keywords (3-5)

  • Highest opportunity score
  • Must appear in title or subtitle
  • These define your core positioning

Secondary Keywords (5-10)

  • Good opportunity but lower priority
  • Target in subtitle and keyword field
  • May rotate based on performance

Long-tail Keywords (10-20)

  • Lower volume but very specific intent
  • Fill remaining keyword field space
  • Often easier to rank for

Aspirational Keywords (3-5)

  • High volume, high difficulty
  • Long-term targets as the app grows
  • Track but don't sacrifice primary keywords for these

Output Format

Keyword Research Report

Summary:

  • Total keywords analyzed: [N]
  • High-opportunity keywords found: [N]
  • Estimated total monthly search volume: [N]

Top Keywords by Opportunity:

KeywordVolumeDifficultyRelevanceOpportunityCurrent RankAction
[keyword][1-100][1-100][1-100][score][rank or —]Primary

Keyword Strategy:

Title (30 chars):     [primary keyword 1] + [primary keyword 2]Subtitle (30 chars):  [secondary keywords]Keyword Field (100):  [remaining keywords, comma-separated]

Competitor Keyword Gap:

KeywordYour RankCompetitor 1Competitor 2Competitor 3Gap?

Recommendations:

  1. Immediate changes to make
  2. Keywords to start tracking
  3. Content/feature opportunities based on keyword demand

Tips for the User

  • Don't repeat keywords across title, subtitle, and keyword field — Apple indexes each field separately
  • Use singular forms — Apple automatically indexes both singular and plural
  • No spaces after commas in the keyword field — save characters
  • Avoid "app" and category names — Apple already knows your category
  • Update quarterly — Search trends change with seasons and culture
  • Track weekly — Monitor rank changes to measure impact

Related Skills

  • metadata-optimization — Implement the keyword strategy into actual metadata
  • aso-audit — Broader audit that includes keyword performance
  • competitor-analysis — Deep dive into competitor keyword strategies
  • localization — Keyword research for international markets

来源与署名

来源:appeeky/aso-skills位于skills/keyword-research提交3919d7c

许可证: 无许可证

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