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I designed an AI-powered lead generation workflow using n8n to organize lead collection, data enrichment, qualification, and follow-up in one automated process.
The workflow connects lead sources such as web forms and Google Sheets with external APIs to gather company information and enrich lead records. An AI qualification step analyzes available details and assigns lead scores based on industry, location, company size, and buying intent.
Qualified leads can be added to GoHighLevel, with records updated in Google Sheets for tracking. The workflow also includes conditional routing, personalized outreach, notifications, and database logging.
The goal is to reduce manual lead research, improve lead organization, and help sales teams focus on promising prospects through a flexible, modular automation system.
Core technologies: n8n, OpenAI, GoHighLevel, Google Sheets, REST APIs, webhooks, and Supabase.
Hashtags:
#AI #LeadGeneration #WorkflowAutomation #n8n #AIAutomation #OpenAI #GoHighLevel #APIIntegration #SalesAutomation #CRM #GoogleSheets #Supabase #BusinessAutomation #LeadQualification #MarketingAutomation
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3 mistakes I see every GoHighLevel user making that creates 100s of duplicate leads:
No deduplication logic between Facebook Lead Ads → GHL
No AI check for same phone/email with different name
No Google Sheets backup before pushing to GHL
I fixed this last week for a client with a simple n8n + AI workflow:
→ Facebook Lead → AI checks duplicate → If clean → GHL + Sheets → Telegram alert
Result: 0 duplicates in 7 days, 6 hours/week saved.
Want the n8n template? Comment "TEMPLATE" and I'll DM you.
#gohighlevel #n8n #leadmanagement #automation
Clean flow. The part I'd watch is the "maybe" pile: couples often share one email or one phone, so a strict duplicate check can silently drop a real second lead. I'd send those to a review tab in the Sheet instead of skipping them. What does yours do with a likely-but-not-certain match?
AI Email Automation with n8n and Google Gemini
An AI workflow that reads every incoming email, sorts it into 6 categories, and takes the right action automatically.
The problem: businesses lose time and leads because customer emails are mixed with promotions, job alerts, and security emails.
What I built:
Gmail Trigger that picks up each new email
AI Text Classifier (Google Gemini) with 6 categories: Security Alert, Promotions, Jobs, Personal, Payments, and Client Inquiries
Automatic Gmail labels for every category
Google Sheets log for jobs, leads, and payments
AI information extraction for client emails (name, phone, service, budget)
AI-written reply drafts for client emails, saved as drafts so a person approves every reply
Instant Discord alerts for security, payment, and client emails
Tools: n8n, Google Gemini, Gmail, Google Sheets, Discord
This project is a working demo built on my own inbox. The same system can be adapted to any business email, such as travel agencies, event venues, stores, recruiters, and consultants.
Impressive workflow! I especially like the human approval step for AI-written replies. Automation with the right oversight makes a real difference. 🙌
LafAI is an AI-powered lead generation and customer engagement platform built for real estate businesses. It helps businesses capture and qualify potential leads through AI-powered conversations while streamlining lead management and follow-up. I built the platform with Python and Flask, integrating AI, chatbot functionality, and a web-based interface to create a practical business automation solution.
