Automated LinkedIn Message Response System

This n8n workflow automates personalized responses to LinkedIn messages by leveraging AI capabilities and dynamic data processing. Triggered externally, it collects message details, sender info, and LinkedIn profile data, then prepares a context-rich prompt for AI to generate suitable replies. The AI agent uses a language model (GPT-4) with stored conversation history to craft context-aware responses, tailored based on user profile data such as followers and connections. Additionally, the workflow retrieves request routing instructions from a Notion database, enabling the AI to adapt responses according to pre-defined processes or generate them flexibly if no specific route exists. This setup is ideal for managing professional networking outreach at scale, ensuring timely, personalized, and contextually relevant engagement on LinkedIn, improving efficiency, and maintaining high-quality interactions.