Track and analyze backlink opportunities with Bright Data MCP and GPT-4o
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 approach to link building and SEO improvement.
Overview
This workflow automatically scrapes competitor backlink profiles and analyzes potential linking opportunities by examining referring domains, anchor text patterns, and link quality metrics. It uses Bright Data to access backlink data sources and AI to intelligently identify high-value linking opportunities for your SEO strategy.
Tools Used
- n8n: The automation platform that orchestrates the workflow
- Bright Data: For scraping backlink analysis platforms without being blocked
- OpenAI: AI agent for intelligent backlink opportunity analysis
- Google Sheets: For storing backlink opportunities and tracking data
How to Install
- Import the Workflow: Download the .json file and import it into your n8n instance
- Configure Bright Data: Add your Bright Data credentials to the MCP Client node
- Set Up OpenAI: Configure your OpenAI API credentials
- Configure Google Sheets: Connect your Google Sheets account and set up your backlink tracking spreadsheet
- Customize: Define target domains and backlink analysis parameters
Use Cases
- SEO Teams: Identify high-quality backlink opportunities for link building campaigns
- Content Marketing: Find websites that might be interested in linking to your content
- Competitive Analysis: Analyze competitor link profiles to discover new opportunities
- Digital PR: Identify potential media outlets and industry websites for outreach
Connect with Me
- Website: https://www.nofluff.online
- YouTube: https://www.youtube.com/@YaronBeen/videos
- LinkedIn: https://www.linkedin.com/in/yaronbeen/
- Get Bright Data: https://get.brightdata.com/1tndi4600b25 (Using this link supports my free workflows with a small commission)
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n8n Workflow: Basic AI Agent with Manual Trigger and Conditional Email Notification
This n8n workflow demonstrates a basic automation that can be manually triggered to interact with an AI agent, process its output, and conditionally send an email notification based on the AI's response. It also includes a placeholder for reading data from Google Sheets, though that part of the flow is currently disconnected.
What it does
- Manual Trigger: The workflow starts when manually executed within n8n.
- AI Agent Interaction: It then passes data to an AI Agent (likely powered by LangChain), which uses an OpenAI Chat Model and a Structured Output Parser (with an auto-fixing mechanism) to generate a response.
- Conditional Logic: The output from the AI Agent is evaluated by an "If" node.
- Email Notification (Conditional): If the condition in the "If" node is met (e.g., a specific keyword or sentiment is detected in the AI's response), an email is sent via Gmail.
- No Operation (Fallback): If the condition is not met, the workflow proceeds to a "No Operation" node, effectively doing nothing further.
- Data Manipulation (Disconnected): A "Set" node is present for potential data manipulation, but it is currently disconnected from the main flow.
- Google Sheets (Disconnected): A "Google Sheets" node is included, indicating a potential future integration for reading or writing data, but it is currently not connected to the main workflow.
Prerequisites/Requirements
- n8n Instance: A running instance of n8n.
- OpenAI API Key: Required for the "OpenAI Chat Model" node to interact with OpenAI's language models (e.g., GPT-4o, as hinted by the directory name).
- Gmail Account: Configured as a credential in n8n for sending emails.
- Google Sheets Account (Optional/Future): If the Google Sheets node is to be used, appropriate Google Sheets credentials will be needed.
Setup/Usage
- Import the Workflow: Import the provided JSON into your n8n instance.
- Configure Credentials:
- Set up your OpenAI API Key credential for the "OpenAI Chat Model" node.
- Set up your Gmail credential for the "Gmail" node.
- (Optional) If you plan to use the Google Sheets node, configure your Google Sheets credential.
- Configure AI Agent:
- Review and configure the "AI Agent" node, including its prompt and the "OpenAI Chat Model" settings (e.g., model name).
- Adjust the "Structured Output Parser" and "Auto-fixing Output Parser" as needed for your desired AI output format.
- Configure Conditional Logic:
- Edit the "If" node (ID: 20) to define the specific condition(s) that should trigger the "Gmail" node. This will depend on the expected output structure from your AI Agent.
- Configure Gmail Node:
- Edit the "Gmail" node (ID: 356) to specify the recipient, subject, and body of the email that will be sent when the "If" condition is true.
- Activate and Execute:
- Activate the workflow.
- Manually execute the workflow using the "When clicking ‘Execute workflow’" trigger to test its functionality.
This workflow provides a flexible foundation for integrating AI capabilities with conditional actions and email notifications, with potential for further expansion using Google Sheets.
Related Templates
Document RAG & chat agent: Google Drive to Qdrant with Mistral OCR
Knowledge RAG & AI Chat Agent: Google Drive to Qdrant Description This workflow transforms a Google Drive folder into an intelligent, searchable knowledge base and provides a chat agent to query it. It’s composed of two distinct flows: An ingestion pipeline to process documents. A live chat agent that uses RAG (Retrieval-Augmented Generation) and optional web search to answer user questions. This system fully automates the creation of a “Chat with your docs” solution and enhances it with external web-searching capabilities. --- Quick Implementation Steps Import the workflow JSON into your n8n instance. Set up credentials for Google Drive, Mistral AI, OpenAI, and Qdrant. Open the Web Search node and add your Tavily AI API key to the Authorization header. In the Google Drive (List Files) node, set the Folder ID you want to ingest. Run the workflow manually once to populate your Qdrant database (Flow 1). Activate the workflow to enable the chat trigger (Flow 2). Copy the public webhook URL from the When chat message received node and open it in a new tab to start chatting. --- What It Does The workflow is divided into two primary functions: Knowledge Base Ingestion (Manual Trigger) This flow populates your vector database. Scans Google Drive: Lists all files from a specified folder. Processes Files Individually: Downloads each file. Extracts Text via OCR: Uses Mistral AI OCR API for text extraction from PDFs, images, etc. Generates Smart Metadata: A Mistral LLM assigns metadata like documenttype, project, and assignedto. Chunks & Embeds: Text is cleaned, chunked, and embedded via OpenAI’s text-embedding-3-small model. Stores in Qdrant: Text chunks, embeddings, and metadata are stored in a Qdrant collection (docaiauto). AI Chat Agent (Chat Trigger) This flow powers the conversational interface. Handles User Queries: Triggered when a user sends a chat message. Internal RAG Retrieval: Searches Qdrant Vector Store first for answers. 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Configure Credentials Create and assign: Google Drive → Google Drive nodes Mistral AI → Upload, Signed URL, DOC OCR, Cloud Chat Model OpenAI → Embeddings + Chat Model nodes Qdrant → Vector Store nodes Add Tavily API Key Open Web Search node → Parameters → Headers Add your key under Authorization (e.g., tvly-xxxx). Node Configuration Google Drive (List Files): Set Folder ID. Qdrant Nodes: Ensure same collection name (docaiauto). Run Ingestion (Flow 1) Click Test workflow to populate Qdrant with your Drive documents. Activate Chat (Flow 2) Toggle the workflow ON to enable real-time chat. Test Open the webhook URL and start chatting! --- How To Customize Change LLMs: Swap models in OpenAI or Mistral nodes (e.g., GPT-4o, Claude 3). Modify Prompts: Edit the system message in ai chat agent to alter tone or logic. Chunking Strategy: Adjust chunkSize and chunkOverlap in the Code node. 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Contact: shilpa.raju@digitalbiz.tech Website: https://www.digitalbiz.tech LinkedIn: https://www.linkedin.com/company/digital-biz-tech/ You can also DM us on LinkedIn for any help. ---
Newsletter signup flow with Email Verification API, Gmail & Google Sheets tracking
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Add Project Tasks to Google Sheets with GPT-4.1-mini Chat Assistant
Let your team create, track, and manage project tasks through natural conversation. This workflow uses an AI Project Manager Agent that chats with users, gathers the task details it needs, and automatically adds them to a Google Sheet. --- ✅ What this template does Lets you chat naturally with an AI to add new project tasks Automatically detects if the user wants to create or update an item (updates coming soon) Collects Task, Description, and Status fields — allows “don’t know” responses Appends new entries directly into your connected Google Sheets Provides real-time confirmation when the task is added > Trigger: n8n Chat Trigger > Integrations: OpenAI GPT-4.1-mini + Google Sheets (OAuth2) --- 🧠 How it works The Chat Trigger starts a chat with the user. The AI Project Manager Agent asks guiding questions to gather the task name, description, and status. When all fields are complete (all Info = Yes), the data is passed to the Google Sheets node. The task is automatically added to your project tracker sheet. The AI confirms completion in chat. --- ⚙️ Setup instructions Connect OpenAI Go to OpenAI Platform → copy your API key. In n8n, create New Credentials → OpenAI API and paste your key. Ensure your account has active billing under OpenAI Billing. Connect Google Sheets (OAuth2) In n8n → Credentials → New → Google Sheets (OAuth2) Sign in with your Google account and grant access. Select your spreadsheet and tab (e.g., “Tasks”) when prompted. Example sheet: https://docs.google.com/spreadsheets/d/1pbK-B-Q9p8fVjxJIsjEVrAfRgqEPCeYw8rZojZPAb84/edit Test your chat Click Execute Workflow, then start chatting: > “Add a task for reviewing the project report tomorrow.” The agent will ask questions if needed, then add the record to your sheet. --- 🧩 Customization ideas Add a Date Added or Assigned To column to the Google Sheet Integrate with Slack or Outlook to message assigned users Extend the agent to support task updates and deletes Replace Google Sheets with Airtable or Notion if preferred --- 🪄 Requirements n8n version ≥ 1.100 OpenAI API key Google Sheets account --- 📬 Contact Need help customizing this (e.g., adding deadlines, linking to Notion, or Slack notifications)? 📧 robert@ynteractive.com 🔗 Robert Breen 🌐 ynteractive.com