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Back to Personalized LinkedIn responses with OpenAI GPT & Notion-based routing

Set Up: Personalized LinkedIn responses with OpenAI GPT & Notion-based routing

This workflow analyzes incoming LinkedIn messages and sender profiles to generate appropriate responses using OpenAI GPT. It references a Notion database to match message types with predetermined responses or creates new ones based on sender context like follower count and professional background.

What This Automation Does
1

Receive LinkedIn message data

Gets message content, sender information, and enriched LinkedIn profile data from the main routing workflow.

2

Query Notion message database

Searches your Notion database to find matching message types and appropriate response templates based on message content.

3

Analyze sender profile context

Evaluates sender's follower count, organization, and connection status to determine appropriate response strategy.

4

Generate AI response

Uses OpenAI GPT to create a personalized response following your tone guidelines and database routing rules.

5

Apply contextual routing logic

Adjusts response based on sender influence level, offering meeting links to high-value contacts or polite deflections to others.

Prerequisites

  • OpenAI API key
  • Notion account with message routing database
  • LinkedIn Auto Message Router workflow setup
  • UniPile LinkedIn Profile Lookup subworkflow
  • n8n workspace with subworkflow capabilities

Services Used

OpenAINotion

Services with alternatives — you can swap them in the next step.