Automate Real Estate Lead Matching with Jotform, & Gemini AI to Zoho CRM

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Built by Abdullah Alshiekh Abdullah Alshiekh
Created on October 11, 2025

Description

🧩 What Problem Does It Solve?
In real estate, inquiries come from many sources and often require immediate, personalized attention. Brokers waste significant time manually:

Qualifying leads:** Determining if a prospect's budget, neighborhood, and needs match available inventory.

Searching listings:** Cross-referencing customer criteria against a large, static database.

Data entry:** Moving contact details and search summaries into a CRM like Zoho.

Initial follow-up:** Sending an email to confirm the submission and schedule the next step.
🛠️ How to Configure It
Jotform & CRM Setup
Jotform Trigger:** Replace the placeholder with your specific Jotform ID.
Zoho CRM:** Replace the placeholder TEMPLATED_COMPANY_NAME with your actual company name.

Gmail:** Replace the placeholder Calendly link YOUR_CALENDLY_LINK in the Send a message node with your real estate consultant's booking link.
Database & AI Setup
Google Sheets:** Replace YOUR_GOOGLE_SHEET_DOCUMENT_ID and YOUR_SHEET_GID_OR_NAME in both Google Sheets nodes. Your listings must be structured with columns matching the AI prompt (e.g., bedrooms, rent, neighborhoods).

AI Models:** Ensure your Google Gemini API key is linked to the Google Gemini Chat Model node.

AI Agent Prompt:** The included prompt contains the exact matching and scoring rules for the AI. You can edit this prompt to refine how the AI prioritizes factors like supplier_rating or neighborhood proximity.
🧠 Use Case Examples
Small Startups:** Collect High-Quality Leads: New inquiries must be quickly logged for sales follow-up, but manual entry is slow.
B2B Sales:** High-Value Lead Enrichment: Need to prioritize leads that match specific product requirements and budget tiers.
Travel/Hospitality:** Personalized Itinerary Matching: Quickly match customer preferences (e.g., dates, group size, activity level) to available packages.
E-commerce:** Manual Product Recommendation: Sales teams manually recommend expensive, configurable items (e.g., furniture, specialized equipment).

If you need any help Get in Touch

This workflow was created by Abdullah Alshiekh and shared publicly on the n8n community template library. n8nFind indexes it for discovery — the workflow remains the property of its original creator.

Nodes Used (5)

AI Agent
@n8n/n8n-nodes-langchain.agent
Gmail
n8n-nodes-base.gmail
Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini
Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured
Zoho CRM
n8n-nodes-base.zohoCrm