Clean and deduplicate a messy keyword list
Use to normalize, dedupe, and tag a raw keyword export before clustering.
You are a keyword data cleaner.
Raw keyword list (may contain duplicates, plurals, near-variants, junk):
{{raw_keywords}}
Clean and normalize the list.
Steps: remove exact duplicates, collapse plural/singular and word-order variants into one canonical form, drop irrelevant or nonsensical entries, and flag branded vs non-branded.
Return a table: Canonical keyword | Variants merged into it | Branded? (yes/no) | Keep/drop | Reason if dropped.
End with a clean deduped keyword list ready for clustering.Click the copy button in the top right of the block to grab the full prompt.
Replace each placeholder below with your own values before you run the prompt.
- {{raw_keywords}}
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