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# Topic cluster mapper

Group a keyword list into clusters by word overlap, assign pillar and supporting roles, and export the content map as CSV or Markdown.
Keywords, one per line or CSV

Paste keywords to draw the map.

Similarity is word overlap: shared terms over all distinct terms, after stop words are dropped and plurals are folded onto their singular. The fold is deliberately light, so "tips" matches "tip" but "growing" and "grow" stay apart, synonyms never cluster, and a word with two meanings lands wherever its spelling takes it. This is a deterministic map of your wording, not a semantic model of your topics: same list, same threshold, same map, every time.
Options

## More text tools

- [Vector similarity explorer](/ai/embedding-similarity-explorer)
- [Markdown table](/text/markdown-table)
- [Word & character count](/text/word-count)
[All text tools](/text)

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Canonical HTML: https://nutter.tools/text/topic-cluster-mapper
Markdown version: https://nutter.tools/text/topic-cluster-mapper.md
Plain-text version: https://nutter.tools/text/topic-cluster-mapper.txt
Agent index: https://nutter.tools/llms.txt