PortfolioFahad Habib
Case study 04AI-powered product

Genius Reach

Built an AI-driven outreach system that finds nearby buyers from purchase history and creates hyper-personalized messages for immediate delivery through GHL.

AI AgentsPythonGoHighLevelPersonalizationReal EstateOutreach
Visit Dispo Genius
$1M+

deal closures enabled within 3 months

3 properties

sold within 5 minutes of listing

Context

System context.

Background

Real-estate disposition teams need to reach the most relevant buyers as soon as a property is listed. Generic outreach slows response and makes it harder to create early momentum around a deal.

Challenge

Combine buyer history, proximity, AI-generated personalization, and immediate delivery in a workflow fast enough to influence property sales within minutes of listing.

Architecture

Architecture and implementation.

Current

AI-powered buyer outreach

Built new

Each new listing is matched against buyer proximity and purchase history before AI agents create personalized outreach for immediate delivery through GHL.

New listingdeal enters workflow
Buyer matchinghistory + proximity
AI agentspersonalized messages
GoHighLevelimmediate delivery
Relevant buyerstargeted outreach
01

Buyer identification

Used historical purchase data to identify nearby buyers whose previous activity indicated potential interest in a new deal.

02

AI agent personalization

Generated hyper-personalized outreach messages with AI agents instead of relying on one generic campaign message.

03

Immediate GHL delivery

Integrated the workflow with GoHighLevel so generated messages could reach selected buyers without leaving the platform.

Outcome

Results.

  • Became a core revenue driver for the platform.
  • Contributed to more than $1M in deal closures within three months.
  • Helped sell three properties within five minutes of listing.
  • Reduced buyer response time and increased early-stage engagement.