Cluster keywords into topics and plan a page for each
By the Auditmatic team · Updated 3 November 2026 · 6 min read
Why cluster at all
A keyword list of 300 phrases is not a plan. Many of them mean the same thing, and a single good page can rank for dozens of close variations. Clustering turns the list into a handful of pages.
How to group keywords
Two checks decide whether keywords belong together.
- Meaning: do they ask the same question? "invoice template" and "free invoice template" do. "invoice software" does not.
- Results: search both. If the top results overlap heavily, one page can serve both. If they differ, they need separate pages.
- Name each cluster by its main keyword, the one with the clearest intent and best volume.
- Main keyword: invoice template
- Also on the page: free invoice template, invoice template word, simple invoice format
- Separate page: invoice software (different results, different intent)
Build a hub and spokes
Pick one broad page as the hub and write narrower pages that answer specific questions. Link each spoke to the hub and the hub to each spoke. The hub then shows search engines how the pages relate, and helps visitors move between them.
Decide what to write first
Start with clusters where you already have some authority or where the first page of results is weak. Leave clusters dominated by large brands for later.
Run it with your AI agent
Connect your agent to Auditmatic, then paste this prompt. Replace the parts in angle brackets. It reads real data and asks before it spends anything.
Use my Auditmatic project for <your-domain>. Take this keyword list: <paste keywords>. Group them into clusters by meaning, then check the top results with get_serp_results for each cluster's main keyword to confirm the grouping. Return a table: cluster name, main keyword, other keywords, intent, and whether I already have a page. Do not save anything until I approve.
Without a tool
You can do this by hand with free tools:
- Put the keywords in a spreadsheet and sort them alphabetically to spot near-duplicates.
- Search the main keyword of each group and compare the top results of two groups.
- Write one row per page: URL, main keyword, supporting keywords.
Questions
How many keywords can one page target?
As many as the page can answer well. A strong page often ranks for dozens of close variations, so the count matters less than whether they share one intent.
Is it better to cluster by words or by results?
By results. Similar words can have different intent, and different words can share one.
Keep going
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