Keyword List Clusterer
Groups your keyword export into one-page clusters by shared intent and results, maps them to URLs, and never invents volumes.
Before & after
Same prompt, same agent — the only difference is the skill.
Keyword clustering is a smart way to organize your content strategy. You'll want to group related keywords by search intent and topic, then plan content around those clusters. That way each piece of content can rank for multiple related keywords. You might organize them by topic area or by stage of the funnel — top of funnel, consideration, decision. You could also think about your brand voice and what topics matter most to your audience. Do you have the list of keywords handy? I'd like to understand your niche better so I can help you structure the clusters in a way that makes sense for your business.
KEYWORD CLUSTERING PROCESS • Input: 50 keywords from search volume tool (Ubersuggest/Ahrefs export) • Group by semantic intent: Do, Learn, Compare, Local • Output: 8-12 clusters with 4-7 keywords each SAMPLE CLUSTERS (3 of 8 shown) Cluster 1: Lead Gen Setup Keywords: email capture forms, popup builders, opt-in page templates, landing page tools Target Audience: Solopreneurs Content: 1 guide + 3 tutorials Cluster 2: Email Conversion Optimization Keywords: email list growth, email open rates, subject line testing, email automation Target Audience: Marketers (1-2 years experience) Content: 1 detailed guide + 1 case study + 2 how-tos Cluster 3: Integration & Setup Keywords: Zapier integration, email platform comparison, CRM setup, workflow automation Target Audience: Technical founders Content: 1 integration guide + 2 setup walkthroughs CONTENT CALENDAR MAPPING Cluster → Content piece → Publish date → Keywords to rank (3-4 per piece) → Backlink targets → Internal links from other clusters PRIORITY ORDER 1. Highest search volume + lowest competition = do first 2. Cluster 1 (Lead Gen) ships week 1 3. Cluster 2 ships week 2 4. Remaining clusters in 6-week rolling plan
About this skill
Turn a messy keyword export into the smallest set of pages that can rank for it. Keywords are grouped by what searchers want and what Google already ranks together, not by shared words.
What it does
- Clusters by shared search results when it can check them, or labels clusters as intent-based hypotheses when it cannot
- Splits look-alike keywords with different intent and merges variants that belong on one page
- Picks one primary keyword and page type per cluster and maps clusters to your existing URLs
- Flags cannibalization, mixed-intent results, stale year terms, and irrelevant keywords
- Uses only the volumes and difficulty you supply, never estimates from memory
What you get
A cluster table (CSV-ready) with primary and secondary keywords, intent, page type, URL mapping, and priority, plus flags and a dropped list.
Best for
SEO freelancers, bloggers, and marketers sitting on a keyword export and unsure how many pages it needs.
SKILL.md preview
---
name: keyword-clusters
description: Turn a raw keyword list or tool export into page-level clusters - one page per group of keywords that share search intent and search results - with a primary keyword per page, mapping to existing URLs, cannibalization and mixed-intent flags, and a priority order, using only the volumes the user supplied. Use when the user says "cluster these keywords", "group my keyword export", "which of these keywords can share one page", "map keywords to my existing pages", "I have 300 keywords from Semrush, what do I do with them", or pastes a CSV of keywords.
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# Keyword Clusterer
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