Analyze competitor content performance with Bright Data MCP & GPT-4o
UnknownUnknown. This template uses community nodes we can't verify statically. Uses community nodes that can't be verified statically (unverified community packages are off by default in 3.0). Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 9 nodes and runs manually, when you click “Execute workflow”. Along the way it connects OpenAI Chat Model, Gmail and Mcp (community).
How it runs
Trigger: Manually, when you click “Execute workflow”.
- 📝 Input: Competitor Details (Edit Fields (Set)): sets 1 field: url
- AI Agent: runs an AI agent, with model: 💬 OpenAI: Generate Insights; 1 tool (🌐 MCP Scraper: Get Blog Data); output parser: Auto-fixing Output Parser
- 📧 Send Email: Client Suggestions (Gmail): uses Gmail
Services it uses
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that n8n-nodes-mcp is verified or supports 3.0 (used in 🌐 MCP Scraper: Get Blog Data).
Nodes used (8)
- Manual Trigger
n8n-nodes-base.manualTrigger - Edit Fields (Set)
n8n-nodes-base.set - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Mcp Client Tool
n8n-nodes-mcp.mcpClientTool - Gmail
n8n-nodes-base.gmail - Auto-fixing Output Parser
@n8n/n8n-nodes-langchain.outputParserAutofixing - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured
From the author
This workflow automatically analyzes competitor content performance across various platforms to understand what content resonates with their audience. It saves you time by eliminating the need to manually track competitor content and provides insights into…