Design keyword clusters for content

Design SERP-overlap keyword clusters for hub-and-spoke content architecture

Content strategy for SaaS/publisher sites where hub-and-spoke content architecture with natural internal links outperforms flat site navigation.

• · seed keyword
• · optional: existing strategy from /seo plan output

• · keyword expansion (30-50 variants)
• · SERP overlap clustering results (shared top-10 analysis)
• · hub-and-spoke architecture diagram with spoke groupings
• · internal link matrix (hub to each spoke, spoke-to-spoke cross-links)
• · interactive cluster map visualization (HTML/interactive)

• · WebSearch or DataForSEO serp_organic_live_advanced (for SERP overlap)
• · optional: claude-blog skill (for content execution)

• · seed keyword specified
• · DataForSEO cost estimation approved if using premium endpoint (serp_organic_live_advanced)

• · seed keyword too broad — expansion yields 100+ variants, clustering becomes intractable
• · SERP data stale — shared results at query time may differ
• · low cluster overlap — spokes don't group naturally, hub-spoke architecture breaks
• · cluster map visualization library missing — fallback to text outline

• · SERP-overlap methodology (count shared URLs in top 10, not text similarity)
• · thresholds for merging (7-10 shared results), grouping (4-6), interlinking (2-3), separating (0-1)
• · keyword intent classification (informational, commercial, transactional, navigational)
• · deduplication and long-tail variant handling
• · hub selection criteria (highest volume, broadest intent, most overlap)
• · internal link matrix specification (hub-to-spoke + spoke-to-spoke cross-links)
• · cost optimization: pre-group by intent (reducing pairwise comparisons from 780 to 180 for 40 keywords)
• · interactive cluster map visualization
• · integration with /seo plan strategy