How AI and 100 Meaningful Conversations a Month Drive Deals with Logan Freeman

Logan breaks down how he defines and tracks “meaningful conversations” (about 100 per month) to focus only on activities that move deals forward. He explains his Kansas City strategy, why creative structures beat chasing yesterday’s cap rates, and how he blends AI with CRE fundamentals to deliver same-day portfolio and market analyses clients love.

Key Topics

• Meaningful conversations → measurable pipeline: How Logan defines, tracks, and protects time for high-value chats with owners, investors, vendors, and tenants.

• “Land squatting” for flex industrial: Adapting Neil Bawa’s idea—option raw land, drive entitlements/rezoning, line up build-to-suit users, and package “paper lots” or fully approved sites.

• AI as an edge (with verification): Using frameworks, proprietary data, and tools to create 10–12 page portfolio audits in ~35 minutes—then spot-checking outputs before client delivery.

• Why Kansas City works: Affordability, logistics (rail and 2-day truck reach to ~80% of the U.S.), supply-constrained multifamily, and surging data-center development.

 

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