How AI Is Helping Land Investors Cut Outreach Costs & Find Motivated Sellers Faster

[Kegan Burgess]

Hey everyone —

I’m part of the team at Reworked AI, where we’ve been developing tools that help real estate investors — especially those focused on land flipping — make their lead generation a lot more efficient.

We’ve all seen how overwhelming large data lists can be when you’re pulling leads from PropStream, DataTree, or county records. After working with a number of active land investors, we realized that most outreach costs go toward leads that were never going to convert anyway.

So our team built what we call a “Betty Score” — an AI model that ranks every lead in your list by likelihood to close, based on hundreds of property, owner, and market data points.

What we’re seeing so far:

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  30–50% reduction in outbound volume

  
  
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  Higher response rates from targeted mail/text

  
  
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  Better ROI on skip tracing and direct mail campaigns

  
  

I’m sharing this not to pitch, but because I’d love to hear from others who are experimenting with AI in their acquisition or disposition workflow.

👉 Are you already using AI tools for lead sorting or seller motivation scoring?

👉 What’s been your biggest bottleneck in scaling your land pipeline efficiently?

We’re always gathering real-world feedback from active investors — so if this resonates, I’d love to compare notes and learn how you’re currently prioritizing your leads.

– Kegan

Reworked AI | Helping investors close better deals, not just more of them