Recover missed calls and book HVAC appointments with GoHighLevel, Twilio, Gemini

by iamvaar ✓ · 550 views · created 2026-04-16 · Lead Nurturing, AI Chatbot

What this workflow does

This AI workflow has 21 nodes and runs when an HTTP POST request hits its webhook URL (plus 2 other triggers). Along the way it connects HighLevel, Twilio and Google Gemini Chat Model.

How it runs

Trigger: When an HTTP POST request hits its webhook URL (plus 2 other triggers).

1. Filter Valid Call Statuses (If): checks a condition and branches into true / false
2. Check If Lead (HighLevel): get many
3. Check Lead SMS Origin (HighLevel): get many
4. Prepare Lead Data (Edit Fields (Set)): sets or maps fields
5. Check Pipeline State (HighLevel): get many (opportunity)
6. Check Pipeline State (HighLevel): get many (opportunity)
7. Create Lead in HighLevel (HighLevel): uses HighLevel
8. Lead Analyzer Agent (AI Agent): runs an AI agent, with model: Gemini Chat Model; output parser: Parse Structured Output
9. Update Contact in HighLevel (HighLevel): update
10. Create Opportunity in HighLevel (HighLevel): work with opportunity

…plus 6 more steps. See the full node list below.

Services it uses

HighLevelTwilioGoogle Gemini Chat Model

Before you upgrade to n8n 3.0

Nodes used (9)

• Webhookn8n-nodes-base.webhook
• Ifn8n-nodes-base.if
• Edit Fields (Set)n8n-nodes-base.set
• HighLeveln8n-nodes-base.highLevel
• Twilion8n-nodes-base.twilio
• Twilio Triggern8n-nodes-base.twilioTrigger
• AI Agent@n8n/n8n-nodes-langchain.agent
• Google Gemini Chat Model@n8n/n8n-nodes-langchain.lmChatGoogleGemini
• Structured Output Parser@n8n/n8n-nodes-langchain.outputParserStructured

From the author

Workflow explanation: Watch on YouTube Automated Missed Call Recovery with Gohighlevel + Twilio + Gemini Prerequisites for the HVAC n8n Workflow Before setting up the workflow in n8n, ensure you have completed the following foundational steps: Twilio Call…

View the original on n8n.io → Check your own copy