Monitor brand reputation and detect crises with GPT-4, Slack and Gmail
Ready for 3.0What this workflow does
This AI workflow has 16 nodes and runs on a schedule (every 15 minutes). Along the way it connects OpenAI Chat Model, Slack, Gmail and Google Sheets.
How it runs
Trigger: On a schedule (every 15 minutes).
- Workflow Configuration (Edit Fields (Set)): sets 7 fields: brandName, newsApiUrl, socialApiUrl…
- Fetch News Articles (HTTP Request): calls an HTTP API
- Fetch Social Media Mentions (HTTP Request): calls an HTTP API
- Fetch Online Reviews (HTTP Request): calls an HTTP API
- Fetch Forum Discussions (HTTP Request): calls an HTTP API
- Combine All Sources (Merge): merges the data from its input branches
- Normalize Data Structure (Edit Fields (Set)): sets 6 fields: source, content, title…
- Sentiment & Trend Analysis Agent (AI Agent): runs an AI agent, with model: OpenAI GPT-; output parser: Structured Analysis Output
- Check for Crisis (If): checks a condition and branches into true / false
- Prepare Dashboard Data (Edit Fields (Set)): sets 4 fields: timestamp, date, time…
…plus 3 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (11)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Edit Fields (Set)
n8n-nodes-base.set - HTTP Request
n8n-nodes-base.httpRequest - Merge
n8n-nodes-base.merge - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - If
n8n-nodes-base.if - Slack
n8n-nodes-base.slack - Gmail
n8n-nodes-base.gmail - Google Sheets
n8n-nodes-base.googleSheets
From the author
How It Works This workflow automates brand reputation monitoring by analyzing sentiment across news, social media, reviews, and forums using AI-powered trend detection. Designed for PR teams, brand managers, marketing directors, and crisis communication…