Track and analyze backlink opportunities with Bright Data MCP and GPT-4o
UnknownWhat this workflow does
This AI workflow has 12 nodes and runs manually, when you click “Execute workflow”. Along the way it connects OpenAI Chat Model, Google Sheets, Gmail and Mcp (community).
How it runs
Trigger: Manually, when you click “Execute workflow”.
- 📝 Define Search Parameters (Edit Fields (Set)): sets 1 field: url
- 🤖 Run Agent with Bright Data MCP (AI Agent): runs an AI agent, with model: OpenAI Chat Model; 1 tool (MCP Client); output parser: Auto-fixing Output Parser
- 📄 Save Leads to Google Sheets (Google Sheets): append
- 🔎 Check if Email is Available (If): checks a condition and branches into true / false
- 📧 Send Outreach Email (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 Client).
Nodes used (11)
- OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Mcp Client Tool
n8n-nodes-mcp.mcpClientTool - Manual Trigger
n8n-nodes-base.manualTrigger - Edit Fields (Set)
n8n-nodes-base.set - AI Agent
@n8n/n8n-nodes-langchain.agent - Google Sheets
n8n-nodes-base.googleSheets - If
n8n-nodes-base.if - Gmail
n8n-nodes-base.gmail - No Operation, do nothing
n8n-nodes-base.noOp - Auto-fixing Output Parser
@n8n/n8n-nodes-langchain.outputParserAutofixing - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured
From the author
This workflow automatically identifies and tracks backlink opportunities by analyzing competitor link profiles and finding potential linking websites. It saves you time by eliminating the need to manually research backlink prospects and provides a systematic…