This workflow automates the process of discovering and analyzing LinkedIn profiles to generate personalized networking recommendations. It begins by fetching user data and searching for relevant LinkedIn profiles through SerpAPI. The search results are processed to extract profile details and form a tailored search query. Next, an AI model analyzes the user profile and found profiles to score their relevance based on role, industry, and skills, providing strategic insights. The system ranks potential connections, suggests personalized outreach messages, and compiles a comprehensive networking report. Finally, the workflow prepares an email with all insights and recommendations, delivering it to the user for actionable outreach. This automation is ideal for professionals seeking targeted, efficient networking in their industry, enhancing relationship-building with minimal manual effort.
AI-Driven LinkedIn Connection Recommendations Workflow
Node Count | 6 – 10 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmOllama, code, emailReadImap, emailSend, httpRequest, set, stickyNote |
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