I Built a Real Estate AI Agent in GoHighLevel (Here’s Exactly How It Thinks)

Описание: Real estate agents lose deals not because they lack leads —
but because follow-ups are slow, inconsistent, or manual.
In this video, I break down a fully working AI agent built inside GoHighLevel, designed specifically for real estate outreach, qualification, and follow-up.
This is not theory.
This is the exact system, logic, and backend setup 👇
🔹 What you’ll learn in this video:
How this GoHighLevel AI agent actually works
What knowledge base to attach (FAQs, listings, objections, pricing)
How to name the agent and define its role
The personality prompt that makes it sound human (not robotic)
How to define clear goals for the agent (bookings, qualification, data capture)
How to train the agent properly so it improves responses over time
🔹 Backend automations explained:
Updating contact fields automatically from chat
Extracting key data (budget, location, intent, timeline)
Tagging hot vs cold leads
Triggering follow-up workflows
Passing qualified leads to sales or calendars
Logging conversations for future optimization
🔹 Features you can add:
Smart lead qualification
Automated follow-ups
CRM updates without manual work
Conversation-based data extraction
24/7 AI outreach for real estate agents
If you’re a real estate agent, automation builder, or someone learning GoHighLevel AI agents, this video will give you a clear mental model of how everything fits together — front end to backend.
If you want more breakdowns like this (real systems, not fluff),
subscribe — I document what actually works.