김경종
47 lines
1.6 KiB
Markdown
47 lines
1.6 KiB
Markdown
---
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type: concept
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title: "Semantic Topic Clustering"
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created: 2026-04-14
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updated: 2026-04-14
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tags:
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- concept
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- seo
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- content-strategy
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- clustering
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status: evergreen
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related:
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- "[[Claude SEO]]"
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- "[[Pro Hub Challenge]]"
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- "[[Search Experience Optimization]]"
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---
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# Semantic Topic Clustering
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SERP-based keyword grouping that replaces paid tools ($50-200/month) with Claude's reasoning. Contributed to [[Claude SEO]] v1.9.0 by Lutfiya Miller (Pro Hub Challenge Winner).
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## How It Works
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1. **Seed keyword** provided by user
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2. **SERP fetching** — get Google results for the seed and related terms (via WebSearch or DataForSEO)
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3. **Overlap scoring** — compare top-10 results between keyword pairs:
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- 7-10 overlapping URLs = same post (keyword cannibalization)
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- 4-6 overlapping = same cluster (supporting content)
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- 2-3 overlapping = interlink opportunity
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- 0-1 overlapping = separate clusters
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4. **Hub-spoke architecture** — 1 pillar page (2500-4000 words) + 2-5 clusters + 2-4 posts each
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5. **Internal link matrix** — bidirectional linking plan with backward link injection
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6. **Visualization** — interactive cluster-map.html (SVG, dark mode, keyboard accessible)
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## Key Design Decisions
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- **No Python scripts** — clustering is prompt-driven (Claude's reasoning + WebSearch)
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- **Optional execution** — outputs content briefs when claude-blog isn't installed, full pipeline when it is
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- **Resume capability** — for long multi-post execution runs
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- **DataForSEO integration** — uses `serp_organic_live_advanced` for live SERP data when available (with cost check)
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## Command
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```
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/seo cluster <seed-keyword>
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```
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