Keyword Research & Content Clustering
Research keywords, group them into topical clusters, and create a content strategy that targets search intent.
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 Topic | Search Volume | Intent |
|---|---|---|---|
| 1 | [pillar] | [est. volume] | [intent] |
| 2 | [pillar] | [est. volume] | [intent] |
| ... | ... | ... | ... |
2. Keyword Discovery
For each cluster, identify keywords:
Cluster 1: [Pillar Topic]
| Keyword | Volume (est.) | Difficulty | Intent | SERP 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
| Intent | Best Format | Typical Length |
|---|---|---|
| Informational | How-to guide, listicle, explainer | 1500-2500 words |
| Commercial | Comparison, best-of list, review | 2000-3000 words |
| Transactional | Landing page, pricing page | 500-1000 words |
| Navigational | Brand page, about page | 300-500 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
| Keyword | Volume | Difficulty | Priority | Current 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.
- 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.
- 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.
- 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.
- 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.
- 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.
$ echo "contribute.sh"