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Qualify real estate leads via SMS with GPT-4o, Twilio, and Google Sheets

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

AI Powered Real Estate Lead Qualifier (n8n Workflow) Description This n8n workflow automates lead engagement and qualification for real estate buyers. When someone submits a form on your real es...

Best for

  • Lead Nurturing automation workflows
  • AI Chatbot automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.formtrigger, @n8n/n8n-nodes-langchain.memorypostgreschat, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.wait, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.twilio

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Robert Breen.

Original n8n.io source

1.1 Workflow description

Title
Qualify real estate leads via SMS with GPT-4o, Twilio, and Google Sheets
Workflow name
Qualify real estate leads via SMS with GPT-4o, Twilio, and Google Sheets

🏡 AI-Powered Real Estate Lead Qualifier (n8n Workflow)

Description

This n8n workflow automates lead engagement and qualification for real estate buyers. When someone submits a form on your real estate website, the system instantly responds via SMS, starting a conversation powered by an AI Agent. The AI asks pre-qualifying questions (like budget, location, and timeline), logs the entire conversation, and then summarizes and sends the lead info to a real estate agent. Chat history is stored in a PostgreSQL database (via Supabase) and tied to each buyer's phone number.

Key Features

📩 Instant SMS Response: Follows up immediately after form submission.

🤖 AI Chat-Based Qualification: Conversational agent gathers buyer needs and preferences.

🗂 Supabase Chat Memory: Stores chat history tied to the buyer’s phone number to maintain context.

📊 Lead Summary & Agent Handoff: Summarizes conversation and logs it to Google Sheets for the agent.

🔁 Customizable AI Questions: Easily edit the questions asked by the AI to suit your process.

🤝 Connect with Me

Description

I’m Robert Breen, founder of Ynteractive — a consulting firm that helps businesses automate operations using n8n, AI agents, and custom workflows. I’ve helped clients build everything from intelligent chatbots to complex sales automations, and I’m always excited to collaborate or support new projects.

If you found this workflow helpful or want to talk through an idea, I’d love to hear from you.

Links

🌐 Website: https://www.ynteractive.com
📺 YouTube: @ynteractivetraining
💼 LinkedIn: https://www.linkedin.com/in/robert-breen
📬 Email: [email protected]

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - On form submission

Type / Role
n8n-nodes-base.formTrigger - formTrigger
Config choices
Version 2.2

Block 2 - Postgres Chat Memory

Type / Role
@n8n/n8n-nodes-langchain.memoryPostgresChat - memoryPostgresChat
Config choices
Version 1

Block 3 - OpenAI Chat Model1

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 4 - Wait

Type / Role
n8n-nodes-base.wait - wait
Config choices
Version 1.1

Block 5 - OpenAI Chat Model2

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1

Block 6 - Structured Output Parser1

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.2

Block 7 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 8 - Sticky Note4

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 9 - Real Estate Qualifier

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 1.6

Block 10 - Sticky Note5

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 11 - Wait 5 Seconds

Type / Role
n8n-nodes-base.wait - wait
Config choices
Version 1.1

Block 12 - Initial Text Message

Type / Role
n8n-nodes-base.twilio - twilio
Config choices
Version 1

Block 13 - Wait for Text Response

Type / Role
n8n-nodes-base.twilioTrigger - twilioTrigger
Config choices
Version 1

Block 14 - Check if Conversation Completed

Type / Role
n8n-nodes-base.if - if
Config choices
Version 2.2

Block 15 - Thank Your Text

Type / Role
n8n-nodes-base.twilio - twilio
Config choices
Version 1

Block 16 - Response Text from Agent

Type / Role
n8n-nodes-base.twilio - twilio
Config choices
Version 1

Block 17 - Query Supabase for conversation history

Type / Role
n8n-nodes-base.postgres - postgres
Config choices
Version 2.5

Block 18 - Combine Rows

Type / Role
n8n-nodes-base.aggregate - aggregate
Config choices
Version 1

Block 19 - Summarize Transcript

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 1.6

Block 20 - Store results in google

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.6

Block 21 - Send Lead to owner

Type / Role
n8n-nodes-base.twilio - twilio
Config choices
Version 1

Block 22 - Sticky Note6

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 23 - Sticky Note7

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

3. Summary Table

Workflow Qualify real estate leads via SMS with GPT-4o, Twilio, and Google Sheets
Complexity advanced
Nodes 23
Categories Lead Nurturing, AI Chatbot
Author Robert Breen
Published 23 Jul 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/6332/6332.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Qualify real estate leads via SMS with GPT-4o, Twilio, and Google Sheets do?

AI Powered Real Estate Lead Qualifier (n8n Workflow) Description This n8n workflow automates lead engagement and qualification for real estate buyers. When someone submits a form on your real es...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Lead Nurturing, AI Chatbot use case.