Analyze Competitor Content Performance with Bright Data MCP & GPT-4o

This n8n workflow provides a framework for analyzing competitor content performance. While the provided JSON is a starting point, it demonstrates how to integrate AI agents and output parsers, along with basic data manipulation and notification capabilities.

What it does

This workflow, as defined by the JSON, outlines the following steps:

1. Manual Trigger: The workflow is initiated manually, allowing for on-demand execution.
2. Edit Fields (Set): A "Set" node is included for data transformation. In a complete workflow, this would likely be used to prepare data for the AI agent or to format results.
3. AI Agent: An "AI Agent" node (from @n8n/n8n-nodes-langchain) is central to the workflow. This agent is designed to perform complex tasks, potentially analyzing content, summarizing data, or generating insights based on a prompt and available tools.
4. OpenAI Chat Model: The AI Agent utilizes an "OpenAI Chat Model" (likely GPT-4o, given the directory name hint) as its underlying language model for processing and generating text.
5. Auto-fixing Output Parser: This node helps ensure that the output from the AI agent conforms to a desired format, automatically attempting to fix any parsing errors.
6. Structured Output Parser: This node is used to parse the AI agent's output into a structured format (e.g., JSON), making it easier to consume and process in subsequent steps.
7. Gmail Notification: A "Gmail" node is included, suggesting that the final results or a summary of the analysis can be sent via email.
8. Sticky Note: A "Sticky Note" is present, likely for documentation or temporary notes within the workflow design.

Prerequisites/Requirements

To use this workflow effectively, you will need:

• n8n Instance: A running n8n instance.
• OpenAI API Key: For the "OpenAI Chat Model" node to interact with OpenAI's services (e.g., GPT-4o).
• Google Account (for Gmail): To configure the "Gmail" node for sending email notifications.
• Bright Data (MCP): While not explicitly present in the provided JSON, the directory name "bright-data-mcp" suggests that a Bright Data account and its "Managed Capture Platform" (MCP) would be used in a complete version of this workflow to scrape competitor content. You would need to integrate Bright Data's API or webhooks into this workflow.

Setup/Usage

1. Import the Workflow: Download the JSON provided and import it into your n8n instance.
2. Configure Credentials:
   • OpenAI: Set up an OpenAI credential with your API key.
   • Gmail: Set up a Google OAuth2 credential for Gmail.
3. Customize the Workflow:
   • AI Agent: Configure the "AI Agent" node with the specific prompt and tools needed for your competitor content analysis. This is where you would define what the agent should analyze (e.g., "Analyze the sentiment of competitor blog posts," "Summarize key topics from competitor articles").
   • Edit Fields (Set): Adjust this node to prepare any input data for the AI agent or to format the output before sending it via Gmail.
   • Bright Data Integration: If you intend to use Bright Data for scraping, you would need to add a Bright Data node (e.g., HTTP Request node to call Bright Data API or a dedicated Bright Data node if available) before the "AI Agent" to fetch the competitor content.
   • Gmail: Customize the email recipient, subject, and body to include the analysis results.
4. Execute the Workflow: Click the "Execute workflow" button on the "Manual Trigger" node to run the workflow.