Content Strategist

Keyword research and content strategy skill. Provides search volume data, keyword difficulty, topic clustering, and content recommendations.

Capabilities

•Keyword Research (keyword-research): Get search volume, difficulty, and SERP data
•Topic Clustering (topic-clustering): Group related keywords into content themes
•Content Gaps (content-gaps): Find topics competitors cover that you don't
•PAA Questions (paa-questions): Extract People Also Ask for content ideas
•SERP Analysis (serp-analysis): Analyze search results for a keyword

Required MCP

This skill requires the DataForSEO MCP server to be configured:

json

{
  "dataforseo": {
    "command": "npx",
    "args": ["-y", "dataforseo-mcp-server"],
    "env": ["DATAFORSEO_USERNAME", "DATAFORSEO_PASSWORD"]
  }
}

Inputs

Input	Required	Description
`SEED_KEYWORD`	Yes*	Starting keyword for research
`TOPIC`	Yes*	Topic for clustering
`COMPETITOR_URL`	No	Competitor site for gap analysis
`LOCATION`	No	Target location (default: US)
`LANGUAGE`	No	Target language (default: en)

*One of SEED_KEYWORD or TOPIC required

Outputs

Keyword Report

json

{
  "keyword": "astro framework",
  "search_volume": 12100,
  "difficulty": 45,
  "cpc": 2.50,
  "competition": "medium",
  "trend": "growing",
  "serp_features": ["featured_snippet", "paa", "video"],
  "related_keywords": [
    {
      "keyword": "astro js",
      "volume": 8100,
      "difficulty": 42
    }
  ],
  "paa_questions": [
    "What is Astro framework used for?",
    "Is Astro better than Next.js?"
  ]
}

Topic Cluster

json

{
  "pillar_topic": "Astro Framework",
  "pillar_keyword": "astro framework guide",
  "clusters": [
    {
      "cluster_name": "Getting Started",
      "keywords": [
        {"keyword": "astro tutorial", "volume": 2900},
        {"keyword": "astro getting started", "volume": 1600}
      ],
      "suggested_content": "Beginner's guide to Astro"
    },
    {
      "cluster_name": "Comparisons",
      "keywords": [
        {"keyword": "astro vs next", "volume": 1900},
        {"keyword": "astro vs gatsby", "volume": 880}
      ],
      "suggested_content": "Framework comparison article"
    }
  ]
}

Content Gap Report

json

{
  "competitor": "competitor.com",
  "gaps": [
    {
      "topic": "Astro Islands Architecture",
      "competitor_pages": 3,
      "your_pages": 0,
      "estimated_traffic": 2400,
      "keywords": ["astro islands", "partial hydration astro"]
    }
  ]
}

Research Methods

Keyword Expansion

Starting from a seed keyword:

•Get search volume and difficulty
•Find related keywords
•Extract PAA questions
•Identify SERP features
•Analyze competitor coverage

Topic Clustering

Groups keywords by:

•Semantic similarity
•Search intent alignment
•Content type match
•Difficulty level

Gap Analysis

Compares your content vs competitors:

•Keyword overlap analysis
•Missing topic identification
•Traffic opportunity estimation

Example Usage

Research Keywords

code

/seo keywords "astro framework"

Build Topic Cluster

code

/seo keywords cluster "web performance"

Find Content Gaps

code

/seo keywords gaps --competitor example.com

Get PAA Questions

code

/seo keywords paa "astro components"

Caching Strategy

Keyword data is cached in ct-metrics-store:

•Search volume: 7 days
•SERP data: 24 hours
•PAA questions: 3 days
•Difficulty scores: 14 days

Use /seo keywords refresh to force update.

Integration

With ct-seo-auditor

Provides keyword data for audit scoring:

•Target keyword difficulty
•Search volume context
•SERP feature opportunities

With ct-gsc-analyst

Combines GSC data with keyword research:

•Match ranking queries to search volume
•Calculate real vs potential traffic
•Prioritize by opportunity value

Dependencies

•ct-metrics-store: For caching keyword data
•DataForSEO MCP: Required for keyword data