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Built by Cheng Siong Chin Cheng Siong Chin
Created on June 05, 2026

Description

How It Works
This workflow automates competitive intelligence gathering and market analysis for businesses needing real-time insights on competitors, industry trends, and market positioning. Designed for marketing teams, strategy analysts, and business development professionals, it solves the time-intensive challenge of manually monitoring competitor activities across multiple channels. The system schedules regular data collection, fetches competitor information from various sources, employs multiple AI agents (OpenAI for analysis, sentiment evaluation, and report generation) to process data, validates outputs through structured parsing, and delivers comprehensive reports via email. By automating data aggregation, sentiment analysis, and insight generation, organizations gain actionable intelligence faster, identify market opportunities proactively, and maintain competitive advantage through continuous monitoring—essential for dynamic markets where timing determines success.

Setup Steps
Connect Schedule Trigger (set monitoring frequency: daily/weekly)
Configure Fetch Data node with competitor website URLs/APIs
Add OpenAI API keys to all AI agent nodes
Link Google Sheets credentials for storing historical analysis data
Configure Gmail node with SMTP credentials for report distribution
Set up Slack/Discord webhooks for instant critical alert notifications

Prerequisites
OpenAI API account (GPT-4 recommended), competitor data sources/APIs
Use Cases
SaaS competitor feature tracking, retail pricing intelligence
Customization
Modify AI prompts for industry-specific metrics, adjust sentiment thresholds for alert triggers
Benefits
Reduces research time by 85%, provides 24/7 competitor monitoring, eliminates manual data aggregation

Nodes Used (8)

AI Agent
@n8n/n8n-nodes-langchain.agent
AI Agent Tool
@n8n/n8n-nodes-langchain.agentTool
Code
n8n-nodes-base.code
Code Tool
@n8n/n8n-nodes-langchain.toolCode
OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi
Send Email
n8n-nodes-base.emailSend
Slack
n8n-nodes-base.slack
Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured