Qualify Real Estate Buyer Leads with GPT-4o & Airtable CRM Integration

Description

🧠 How It Works

This AI Agent automatically qualifies property buyer leads from form submissions and sends them directly to your CRM.

🔄 Workflow Steps

Form Submission Trigger
When a user submits their details via a property inquiry form, the workflow is activated.

AI Lead Classification
The buyer’s input (budget, location, timeline, etc.) is analyzed by OpenAI.
Structured data is extracted, and a lead score (0–100) is generated.

Lead Qualification Logic
Leads with a score ≥ 70 are marked as qualified.
Leads with a lower score can be ignored or stored separately for later review.

Follow-Up Actions (for Qualified Leads)
An email notification is sent to the real estate agent.
A record is created in Airtable to act as a lightweight CRM.

⚙️ How to Set Up

1. Form Setup
Replace the default trigger with your preferred source:
Typeform, Google Forms, Webflow form, etc.
Ensure your form collects the following fields:
Name, Email, Budget, Location, Timeline, Property Type

2. Connect Your Credentials
Add your OpenAI API key for the LLM node
Connect your Gmail account for notifications
Link your Airtable base & table to store qualified leads

3. Customize Scoring Logic (Optional)
Edit the Information Extractor prompt to tweak how scoring is calculated
Example: prioritize budget fit, location, or timeline

4. Test the Workflow
Submit a test entry via the form
Confirm:
You receive the notification email
A new lead record appears in Airtable

5. Activate & Go Live
Turn on the workflow
Start qualifying real buyer leads in real-time 🎯

🚀 Use Cases
Realtors → Filter out unqualified leads automatically
Agencies → Save time by only engaging with high-quality inquiries
Teams → Centralize qualified leads in Airtable for instant collaboration