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seon8nadvanced60 minutes

SEO Keyword Clustering Workflow

Process for grouping keywords into topic clusters based on search intent and SERP overlap. Creates content architecture that ranks for multiple terms per page.

Steps

  1. 1

    Keyword Collection

    Gather all target keywords from: seed brainstorm, competitor analysis, Google Search Console, and keyword tools. Aim for 200-500 keywords per clustering session.

    Sources:\n- Seed keywords (your products/services)\n- Competitor rankings (Serper/Ahrefs)\n- GSC queries (existing impressions)\n- People Also Ask expansions\n- Related searches
  2. 2

    Intent Classification

    Classify each keyword by search intent: informational (how to), commercial (best/review), transactional (buy/price), or navigational (brand).

  3. 3

    SERP Overlap Analysis

    For each keyword pair, check if they share 3+ results in top 10. If yes, they belong in the same cluster (Google considers them the same topic).

    Pro tip: This is the key insight: if Google shows the same pages for two keywords, one page can rank for both. No need for separate pages.

  4. 4

    Cluster Formation

    Group keywords with high SERP overlap into clusters. Each cluster = one page/article. Name the cluster by its highest-volume keyword.

    Good cluster: 5-15 keywords with shared intent\nBad cluster: 50+ keywords (too broad, split it)\nOrphan: keyword with no overlap (needs its own page)
  5. 5

    Content Architecture

    Map clusters to URL structure. Identify pillar pages (broad clusters) and supporting pages (specific clusters). Plan internal linking between related clusters.

  6. 6

    Priority Scoring

    Score each cluster by: total search volume, competition level, business value, and content gap (do we already rank?). Prioritize high-value gaps.

    Priority formula:\nScore = (Volume x Business Value) / Competition\nHigh score + no existing content = write first

Tools Required

Estimated Monthly Cost

Free

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