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easetoolz-seo-clusterlisted

SERP-based semantic topic clustering for tool sites. Identifies which keywords should be one page vs separate pages, and builds internal link architecture.
ariarihantmedia-bit/easetoolz-seo-skill · ★ 0 · Data & Documents · score 76
Install: claude install-skill ariarihantmedia-bit/easetoolz-seo-skill
# SEO Cluster — EaseToolz Data-driven content clustering using **SERP overlap methodology**. Tells you exactly which keywords to combine into one page vs split into separate pages — no guessing. ## Usage ``` /easetoolz cluster "jpg to pdf" /easetoolz cluster "compress pdf" /easetoolz cluster "image converter" ``` --- ## How It Works (SERP Overlap Method) ### Step 1: Expand the seed keyword Generate 20-30 keyword variants: - Long-tail: "jpg to pdf converter free", "convert jpg to pdf online" - Question: "how to convert jpg to pdf", "can you turn jpg into pdf" - Comparison: "jpg vs pdf", "best jpg to pdf converter" - India-specific: "jpg to pdf mobile", "jpg to pdf without app" - Hindi intent: check if Hindi variant has different SERP than English ### Step 2: Classify intent | Intent | Action | |--------|--------| | Transactional | → Tool page (e.g., `/convert/jpg-to-pdf`) | | Informational | → Blog post | | Commercial | → Comparison page | | Navigational | → Ignore (brand searches) | Only cluster within the same intent group. ### Step 3: SERP overlap scoring For each keyword pair, use WebSearch to compare top 10 results. Count shared URLs. | Shared URLs | Decision | |-------------|----------| | 7-10 | Same page — target both keywords on one page | | 4-6 | Same cluster — separate pages, interlink heavily | | 2-3 | Related — optional cross-links | | 0-1 | Unrelated — treat independently | ### Step 4: Design cluster architecture ``` PILLAR (tool page or category)