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Keyword Cluster Analysis

Reverse-engineer competitor content silos and topical authority

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Act as an SEO Content Strategist. Analyze the top competitors for [Your Domain] to reverse-engineer their keyword clustering strategy and identify content silo opportunities. Input: Your Domain: [Insert your website] Competitors: [Competitor 1, Competitor 2] Core Topic: [e.g., "email marketing software"] Target Audience: [e.g., B2B, E-commerce] Region: [e.g., US] Instructions: Identify Core Topic Clusters: For each competitor, identify 3-5 main topic clusters (content groups) they rank for related to the Core Topic. Map Cluster Structure: For their strongest cluster, identify the main "pillar" page and the supporting "cluster" pages. Note the internal linking between them. Find Gaps: Compare their clusters to our domain. Identify: Missing Clusters: Entire topics we don't cover. Weak Clusters: Topics we cover with less depth or authority. Recommend Long-Tail Keywords: Suggest semantic/long-tail keywords for each recommended new or improved cluster. Deliverables: A brief summary of each competitor's clustering approach. A table comparing key clusters (Cluster Theme, Their Pillar URL, Our URL, Gap Analysis). A prioritized list of 2-3 actionable recommendations for new or improved content clusters, including 5-8 long-tail keywords per cluster.
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How to Use

Copy Prompt

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Fill Variables

Replace the highlighted placeholders with your domain, competitors, and core topic

Analyze Clusters

Paste into ChatGPT, Claude, or your preferred AI tool for cluster analysis

Build Content Silos

Use the insights to create better content clusters and topical authority

What You'll Discover

Topic Clusters

3-5 main topic clusters for each competitor with detailed content mapping

Pillar Structure

Identify pillar pages and supporting cluster pages with internal linking patterns

Content Gaps

Missing clusters and weak topical areas compared to competitors

Comparison Table

Side-by-side cluster comparison with pillar URLs and gap analysis

Semantic Keywords

5-8 long-tail keywords per recommended cluster with content suggestions

Action Plan

2-3 prioritized recommendations for new or improved content clusters

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