AI-Powered Facebook Mention Tracker with Slack Alerts

Never miss a critical Facebook mention again. This AI-powered Facebook mention tracker automatically monitors your page mentions, analyzes sentiment with Google's Gemini AI, and sends intelligent alerts to keep your team responsive to both opportunities and potential issues.

What This Workflow Does

This automated workflow listens for new Facebook page mentions in real-time and processes them through an intelligent decision tree. When a mention is detected, it sends the content to Gemini AI for comprehensive sentiment analysis (positive, neutral, or negative) and topic extraction. The AI response is cleaned and structured into consistent JSON format for reliable processing.

All mention data gets stored in your Supabase database for tracking and analytics. Based on the sentiment analysis, the workflow routes notifications strategically: positive mentions are shared via Telegram to celebrate customer satisfaction, while critical or negative mentions trigger immediate Slack alerts for your support team's attention. The system even handles storage failures gracefully by sending backup notifications through Telegram.

Use Cases

• Social media crisis management - catch negative mentions before they escalate
• Customer satisfaction tracking - celebrate positive feedback with your team
• Brand reputation monitoring - maintain comprehensive mention analytics
• Support team alerting - ensure critical feedback gets immediate attention
• Marketing intelligence - analyze sentiment trends over time

Technical Details

Built with proven n8n nodes including Facebook integration for mention tracking, Gemini AI for sentiment analysis, Supabase for data storage, Slack for team alerts, and Telegram for positive mention sharing. The workflow uses conditional logic nodes and custom code for data processing and routing decisions.

Setup takes just minutes - connect your Facebook page, configure Gemini API credentials, set up your Supabase mentions table, and connect your Telegram bot and Slack channel. The workflow includes built-in error handling and can be tested with sample data before going live.