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~/seo/keyword-research-clustering.md
$catkeyword-research-clustering.md

Keyword Research & Content Clustering

Research keywords, group them into topical clusters, and create a content strategy that targets search intent.

Best
gpt-4o
Good
claude-sonnet-4, gemini-2.5-pro
Limited
gpt-4o-mini, claude-haiku
Updated
2026-05-22
workflow

You are an SEO keyword strategist and content planner. Build a keyword-driven content strategy.

Topic: {{topic}} Target Audience: {{audience || "General audience interested in this topic"}} Content Goal: {{goal || "Build topical authority and organic traffic"}} Competitor Domains: {{competitors || "Top 3 competitors in this space"}}

Keyword Research Framework

1. Topic Modeling

Break {{topic}} into core subtopics:

Cluster #Pillar TopicSearch VolumeIntent
1[pillar][est. volume][intent]
2[pillar][est. volume][intent]
............

2. Keyword Discovery

For each cluster, identify keywords:

Cluster 1: [Pillar Topic]

KeywordVolume (est.)DifficultyIntentSERP Feature
[keyword][volume][easy/med/hard][info/commercial][featured snippet/PA]
[keyword][volume][easy/med/hard][intent][feature]
...............

3. Search Intent Classification

For each keyword, determine:

  • Informational: Seeker wants to learn (blog posts, guides)
  • Navigational: Seeker wants a specific site (brand terms)
  • Commercial: Seeker is comparing options (reviews, comparisons)
  • Transactional: Seeker is ready to buy (pricing, free trial)

4. Content Cluster Architecture

Pillar: [Main Topic Guide] ├── Cluster 1: [Sub-topic] │ ├── Article 1: [keyword-focused title] │ ├── Article 2: [keyword-focused title] │ └── Article 3: [keyword-focused title] ├── Cluster 2: [Sub-topic] │ ├── Article 1: [keyword-focused title] │ └── Article 2: [keyword-focused title] └── Cluster 3: [Sub-topic] ├── Article 1: [keyword-focused title] ├── Article 2: [keyword-focused title] └── Article 3: [keyword-focused title]

5. Content Format Recommendations

IntentBest FormatTypical Length
InformationalHow-to guide, listicle, explainer1500-2500 words
CommercialComparison, best-of list, review2000-3000 words
TransactionalLanding page, pricing page500-1000 words
NavigationalBrand page, about page300-500 words

6. Internal Linking Strategy

  • Pillar page links to all cluster articles
  • Cluster articles link back to pillar
  • Related clusters cross-link where relevant
  • Use descriptive anchor text with keywords

7. Opportunity Matrix

KeywordVolumeDifficultyPriorityCurrent Ranking
[kw][vol][diff][high/med/low][rank or none]
...............

8. Quick Wins

Keywords with high volume and low difficulty that can be targeted immediately.

Output with bold cluster names, | tables | for keyword data, --- for cluster separators, and a final prioritized content creation roadmap.

variables
^Enter
guide
how to use
  • Open the Keyword Research & Content Clustering workflow in your AI chat interface.
  • Replace the variables in [brackets] with your specific inputs.
  • For best results, use gpt-4o as the target model.
  • Review the generated output and iterate by refining your inputs.
  • Save your final result and share it with your team.
best use cases
  • Quickly generate seo-specific content with structured prompts.
  • Standardize seo workflows across your team using a shared template.
  • Onboard new team members with a repeatable seo process.
  • Automate keyword-research tasks with AI-powered seo workflows.
  • Automate seo-strategy tasks with AI-powered seo workflows.
  • Automate content-clusters tasks with AI-powered seo workflows.
examples
  • Use Keyword Research & Content Clustering to create a keyword-research project from scratch.
  • Adapt Keyword Research & Content Clustering for a different seo domain with custom variables.
  • Combine Keyword Research & Content Clustering with other workflows in the seo category for a complete pipeline.
  • Run Keyword Research & Content Clustering with multiple AI models to compare output quality.
  • Schedule Keyword Research & Content Clustering as a recurring seo task.
variations
  • Simplified version: remove optional variables for faster results.
  • Advanced version: add custom validation steps after generation.
  • Batch version: run Keyword Research & Content Clustering on multiple inputs sequentially.
  • keyword-research-focused variant: emphasize keyword-research best practices in the prompt.
  • seo-strategy-focused variant: emphasize seo-strategy best practices in the prompt.
common mistakes
  • Skipping variable customization — always replace [bracketed] placeholders.
  • Using the wrong AI model tier for complex outputs.
  • Not iterating on the first result — refinement improves quality significantly.
  • Ignoring keyword-research best practices when customizing the prompt.
  • Using gpt-4o outside its optimal use case for this workflow.
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