Unlock Your Search Console Insights with an AI Chat Agent
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Transform your Google Search Console data into actionable insights with this AI-powered chat agent. Seamlessly query your website performance using natural language and receive data-rich, markdown-formatted tables.
About This Workflow
This powerful n8n workflow empowers you to interact with your Google Search Console data like never before. Leveraging the intelligence of OpenAI and the robust capabilities of Langchain, this AI agent allows you to ask questions about your website's performance in plain English. The agent is designed to intelligently retrieve available Search Console properties, construct API calls based on your queries, and present the data in a clear, markdown-formatted table. Conversation history is intelligently managed using a PostgreSQL database, ensuring context is maintained for a fluid and productive chat experience.
Key Features
- Natural Language Querying: Ask questions about your Search Console data using conversational language.
- Automated Data Retrieval: The AI agent intelligently fetches property lists and specific insights.
- Markdown Table Outputs: Receive data in easily digestible, formatted tables.
- Persistent Chat Memory: Conversation history is stored in PostgreSQL for context-aware interactions.
- Flexible LLM Integration: Supports various LLMs that can handle tool calling, with
gpt-4oas the default.
How To Use
- Configure Webhook: Set up the 'Webhook - ChatInput' node to receive your chat messages and session IDs.
- Set Initial Fields: The 'Set fields' node prepares your input, including the chat message, session ID, and the current date.
- Connect OpenAI: Configure the 'OpenAI Chat Model' node with your OpenAI API credentials and desired model (e.g.,
gpt-4oorgpt4-o-mini). - Set Up Postgres Memory: Connect your PostgreSQL database to the 'Postgres Chat Memory' node and specify a table for chat history.
- Define Search Console Tool: Within the 'Call Search Console Tool' node, ensure your workflow ID is correctly referenced to enable the AI to call itself for Search Console data.
- Respond to Webhook: The 'Respond to Webhook' node sends the AI's generated response back to your initial request.
Apps Used
Workflow JSON
{
"id": "58b7aaa3-85f9-4d8a-8fbc-b3404cf4eaca",
"name": "Unlock Your Search Console Insights with an AI Chat Agent",
"nodes": 15,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 58b7aaa3-85f9...
About the Author
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