Classify lead sentiment with Google Gemini and send WhatsApp responses via Typeform & Supabase
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 9 nodes and runs when an HTTP POST request hits its webhook URL. Along the way it connects Google Gemini Chat Model, Supabase and WhatsApp Business Cloud.
How it runs
Trigger: When an HTTP POST request hits its webhook URL.
- Prepare Lead Data (Edit Fields (Set)): sets or maps fields
- Classify Sentiment (Gemini or other ai model) (Sentiment Analysis): scores sentiment with AI, with model: Google Gemini Chat Model
- Store Hot Lead (Supabase): uses Supabase
- Store Neutral Lead (Supabase): uses Supabase
- Store Cold Lead (Supabase): uses Supabase
- Combine Lead Data (Merge): merges the data from its input branches
- Send WhatsApp Message (WhatsApp Business Cloud): send
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (7)
- Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Webhook
n8n-nodes-base.webhook - Edit Fields (Set)
n8n-nodes-base.set - Sentiment Analysis
@n8n/n8n-nodes-langchain.sentimentAnalysis - Supabase
n8n-nodes-base.supabase - Merge
n8n-nodes-base.merge - WhatsApp Business Cloud
n8n-nodes-base.whatsApp
From the author
Automatically classify incoming leads based on the sentiment of their message using Google Gemini, store them in Supabase by category, and send tailored WhatsApp messages via the official WhatsApp Cloud API. ✅ Use Case: This workflow is ideal for sales,…