Seo Keyword Cluster Builder
Generate high-value keyword clusters for targeted content & SEO campaigns using onewave-ai's intelligent analysis.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add seo-keyword-cluster-builder npx -- -y @trustedskills/seo-keyword-cluster-builder
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"seo-keyword-cluster-builder": {
"command": "npx",
"args": [
"-y",
"@trustedskills/seo-keyword-cluster-builder"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
The seo-keyword-cluster-builder skill analyzes search intent and topic relevance to generate comprehensive keyword clusters for SEO strategies. It helps marketers organize content around central themes rather than isolated terms, improving site structure and topical authority.
When to use it
- Planning new blog series or pillar page content structures.
- Identifying related long-tail keywords to target alongside primary search terms.
- Auditing existing content gaps by comparing current topics against potential clusters.
- Optimizing internal linking strategies to connect semantically related pages.
Key capabilities
- Generates interconnected keyword groups based on semantic relationships.
- Analyzes user search intent to categorize keywords effectively.
- Structures data to support scalable content marketing plans.
Example prompts
- "Create a keyword cluster for 'sustainable fashion' targeting beginner eco-conscious consumers."
- "Generate 10 related subtopics and keywords to build a comprehensive guide on remote work productivity."
- "Analyze the search intent behind 'best CRM software' and suggest a content cluster structure."
Tips & gotchas
Ensure you provide clear context about your target audience when requesting clusters, as this significantly impacts the relevance of the generated keywords. This skill is designed for strategic planning; always validate the final keyword list with current search volume data before implementation.
Tags
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