This is a submission for the AI Agents Challenge powered by n8n and Bright Data

What I Built

Right now, companies spend millions on agencies and PR firms that only scratch the surface of brand perception — and usually react after the fact👎.

What’s missing is a clear, real-time picture of how people actually see the brand online — the balance between complaints and praises, the preferences customers express, and the sentiment trends that shape the brand's reputation👍.

This workflow automation combines public discussion platforms monitoring with sentiment analytics to allow companies keep track of online perception of their brand in real time. It also helps in acting as an early warning radar by detecting rising negative sentiment early and alerting the company to make informed decisions before small issues snowball into full-blown crises✨.

Demo

Workflow JSON

n8n Workflow

Technical Implementation

Tools Used

  • n8n: The automation platform that orchestrates the workflow
  • Bright Data: For scraping Reddit comments without restrictions or rate limits
  • Google Gemini: AI model for intelligent sentiment analysis
  • Google Sheets: For storing and tracking sentiment analysis results

Bright Data Verified Node

Journey

Seeing this challenge, I knew I had to jump on it, given the fact that I have been hearing much about n8n for a while. This challenge really opened me up to all of its possibilities and capabilities. And I must say, it really exceeded my expectations. Building an AI agent was made very seamless to achieve on the platform, and I faced little to no challenges as I walked through setting up the workflow for the agent.

Here's to the DEV, n8n, and Bright Data team for hosting this amazing challenge. I really enjoyed the process of building out this solution. Cheers🥂