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Keyword Grouping
Keyword Grouping: Group supplied keywords by overlapping normalized terms. Lexical clustering does not claim search-result or semantic equivalence.
What this tool does
Group supplied keywords by overlap in normalized words. This is transparent lexical clustering, with a Jaccard similarity threshold of 0.35.
How to use it
Paste one phrase per line, up to 500. Run grouping. Review groups that combine terms with different meanings. Rename or split groups according to your content goals.
Why it matters
A first lexical pass can organize a list for human review without pretending to know live SERP overlap.
Example
“website audit checklist” and “website audit guide” share wording. The algorithm may group them, even if the best content format differs.
Understanding the result
Groups reflect shared terms and greedy assignment order. They are not a proof that one page should target all included phrases.
Limitations
No embeddings, search volume or SERP data are used. Synonyms can be separated and ambiguous words can be combined. Reordering input may change borderline groups.
Frequently asked questions
Does this guarantee search visibility?
No. This tool reviews the supplied evidence. Search engines and AI systems make independent selection decisions.
Is my input stored?
Browser tools process locally. Server tools process the input; reports are saved only when requested. Connected AI and data tools send required input to their service providers.