Unlock Your Search Console Insights with an AI Chatbot
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Effortlessly query your Google Search Console data using natural language. This n8n workflow leverages OpenAI and Postgres to create an intelligent chatbot that retrieves and presents your website insights in an easy-to-understand format.
About This Workflow
Transform the way you interact with your Google Search Console data. This n8n workflow sets up a powerful AI agent that allows you to ask questions about your website's performance using plain English. Powered by OpenAI's advanced language models and a robust Postgres database for chat history, this solution makes complex data analysis accessible to everyone. The agent can identify your Search Console properties, fetch specific data based on your queries, and deliver the results in a clear, markdown-formatted table. Say goodbye to manual data digging and hello to instant, intelligent insights.
Key Features
- Natural Language Querying: Ask questions about your Search Console data in everyday language.
- Automated Data Retrieval: The AI agent intelligently constructs API calls to fetch the exact data you need.
- Property Discovery: Automatically identifies available Search Console properties for analysis.
- Structured Data Presentation: Results are delivered in a clear, markdown-formatted table for easy consumption.
- Persistent Chat History: Utilizes a Postgres database to maintain conversation context for seamless interactions.
How To Use
- Configure Webhook: Set up the
Webhook - ChatInputnode to receive chat messages via POST requests. - Set Input Fields: Use the
Set fieldsnode to capturechatInput,sessionId, anddate_messagefrom the webhook payload. - Connect AI Model: Configure the
OpenAI Chat Modelnode with your OpenAI API credentials and select your desired model (e.g.,gpt-4oorgpt4-o-mini). - Configure Chat Memory: Set up the
Postgres Chat Memorynode with your Postgres connection details and a table name to store conversation history. - Define Search Console Tool: Utilize the
Call Search Console Toolnode, ensuring it's configured to interact with your Search Console data. - Respond to Webhook: Connect the output of your AI processing to the
Respond to Webhooknode to send the AI's response back to the user.
Apps Used
Workflow JSON
{
"id": "98a0f45a-4341-4dfb-9ef9-3b9ab2962127",
"name": "Unlock Your Search Console Insights with an AI Chatbot",
"nodes": 11,
"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: 98a0f45a-4341...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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