Cluster research breaks genealogy brick walls by using DNA matches as indirect evidence—if multiple cousins' family trees all converge on the same ancestor, that's proof even without direct records. You're crowdsourcing your family history from dozens of related researchers.
The cluster research method is a genealogical strategy in which a researcher studies the neighbors, witnesses, relatives, and associates surrounding a target ancestor rather than focusing solely on that individual. Because families and communities often migrated together, the records of those around an ancestor frequently contain clues about the ancestor themselves.
AI accelerates cluster research by identifying recurring names across multiple document types, mapping social networks from witness lists and land transactions, and flagging potential family connections that a manual review might overlook across large document sets.
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