AI-Powered Restaurant Review Monitor with Google Places & Slack Alerts

Stop guessing why your restaurant ratings dropped. This AI-powered workflow automatically monitors your Google Places ratings daily, analyzes real customer reviews with Google Gemini AI, and sends intelligent Slack alerts that tell you exactly what's wrong and how to fix it.

What this workflow does

This n8n automation transforms basic rating monitoring into actionable intelligence. The workflow reads your restaurant list from Google Sheets, fetches live ratings and reviews from Google Places API, and compares them against historical data. When meaningful changes are detected, Google Gemini AI analyzes actual customer reviews to diagnose the root cause. Smart alerts are automatically routed to Slack channels based on severity: 🔴 Critical for significant drops, 🟡 Watch for moderate changes, and 🟢 Positive for improvements. All alerts and historical data are logged to Google Sheets for trend analysis.

Use cases

• Multi-location restaurant chains: Monitor all locations from a single dashboard and get instant alerts when any site experiences rating changes
• Restaurant management companies: Track client properties and provide data-driven insights with AI-diagnosed issues and recommended actions
• Independent restaurant owners: Stay ahead of reputation issues by catching problems early with concrete feedback analysis
• Hospitality consultants: Offer clients proactive monitoring services with intelligent root cause analysis

Technical details

Built with essential n8n nodes including Switch for routing alerts by severity, Code nodes for data processing, IF nodes for change detection logic, and Merge nodes for combining data streams. The workflow integrates Google Places API for ratings data, Google Sheets for data storage and restaurant management, Google Gemini AI for review analysis, and Slack for team notifications.

Unlike basic monitoring tools that only report rating changes, this workflow provides the "why" behind every fluctuation by analyzing customer sentiment and suggesting specific actions. Perfect for automation engineers and SaaS operators who need reliable, intelligent restaurant reputation monitoring.