Discover how to use the FAN Club method (Friends, Associates, Neighbors) combined with free AI tools to extract entire census neighborhoods into spreadsheets and find missing relatives. In this complete tutorial, I share exactly how I found my German immigrant ancestor's missing brother hiding five houses away on the 1910 census—after he'd been invisible for 115 years.
What You'll Learn:
- How to extract 60+ people from census records into spreadsheets in under 10 minutes using free AI (Gemini 2.5 Flash, Claude Sonnet 4.5, ChatGPT)
- The FAN Club methodology for cluster research: analyzing Friends, Associates, and Neighbors to break genealogy brick walls
- Understanding CSV files (Comma-Separated Values) and why they're essential for genealogy data analysis
- Pattern recognition techniques: surname clustering, birthplace analysis, and chain migration tracking
- How to verify AI-extracted census data and spot handwriting errors
- Creating research plans with Perplexity AI for follow-up documentation
- Finding siblings, cousins, and extended family through neighborhood analysis
The Case Study:
After tracing Heinrich Mueller from Pennsylvania to Bavaria in Episode 15, I still couldn't find his brother Jakob—a wheelwright who family stories said immigrated around 1909. Instead of drowning in database searches for "Jakob Mueller" (a common German name), I used AI to extract Heinrich's entire 1910 census neighborhood: 23 households, 67 individuals, organized into a Google Sheet in 90 seconds.
The patterns revealed everything: three Mueller families from Bavaria, 18 Bavarian immigrants clustered together, a clear chain migration wave from 1898-1910. And there was Jakob—dwelling 203, five houses from Heinrich, same birthplace, complementary occupation, arriving two years after his brother.
AI Tools Featured (All FREE):
- Gemini 2.5 Flash - Primary tool for census extraction with Google Sheets integration
- Claude Sonnet 4.5 - Best for difficult handwriting and older records
- ChatGPT Free Tier - Alternative for clear handwriting
- Perplexity AI - Research planning with cited sources
For Beginners:
Never used a spreadsheet? Never heard of CSV files? This episode explains everything in plain English. I walk you through Google Sheets basics, sorting, filtering, and pattern analysis—no technical experience required.
International Listeners:
While this episode uses U.S. census records as examples, the FAN Club method works with UK census (1841-1921), Australian state census records, and Canadian census. I explain adaptations for international researchers throughout.
Three-Level Homework:
- Beginner: Extract ONE household from any census using AI
- Intermediate: Extract one complete census page and identify surname patterns
- Advanced: Compare two census years for your ancestor and track neighborhood changes
Connect with Ancestors and Algorithms:
📧 Email: ancestorsandai@gmail.com
🌐 Website: https://ancestorsandai.com/
📘 Facebook Group: Ancestors and Algorithms: AI for Genealogy - www.facebook.com/groups/ancestorsandalgorithms/
Golden Rule Reminder: AI is your research assistant, not your researcher.
Join our Facebook group to share your AI genealogy breakthroughs, ask questions, and connect with fellow family historians who are embracing the future of genealogy research!
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