Master keyword table
Create one shared map for listing, advertising, content, and product decisions.

Amazon Keyword Research
Organize keyword evidence by source, intent, semantic layer, demand, competition, conversion, lifecycle stage, and destination.
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Share the marketplace, language, product boundary, competitor set, keyword exports, advertising search terms, and the teams that will use the map. The Agent normalizes entries while preserving evidence, time, and purpose.
The result classifies intent, semantic role, relevance, demand, competition, conversion evidence, lifecycle stage, and destination. Missing or incomparable fields stay visible, and the Agent does not invent current volume or performance.
Create one shared map for listing, advertising, content, and product decisions.
Normalize duplicates and formats while retaining where and when every term was observed.
Assign owners, destinations, review dates, and evidence gaps for ongoing maintenance.
Clean and structure these exported Amazon keyword files

Define the marketplace, product boundary, fields, units, sources, and consumers before merging data.
Clean duplicates and label intent, semantic role, relevance, evidence, stage, and destination.
Record conflicts, unknowns, owners, review dates, and actions that keep the system current.

No. It keeps source, intent, semantic role, evidence, lifecycle stage, and destination so each keyword supports a clear decision.
Yes, when field meanings, units, dates, marketplaces, and filters are supplied. Incomparable metrics remain separate.
No. Provide exported data or verified evidence. Missing values stay unknown and are not invented.
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