Block 1 - When Executed by Another Workflow
- Type / Role
- n8n-nodes-base.executeWorkflowTrigger - executeWorkflowTrigger
- Config choices
- Version 1.1
This workflow is provided as-is. Please review and test before using in production.
Who is this for? This workflow is for professionals and teams who want to automate LinkedIn message replies with intelligent, human like responses — without losing control over tone or accuracy. Id...
n8n-nodes-base.executeworkflowtrigger, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memorybufferwindow, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.stickynote, n8n-nodes-base.set, n8n-nodes-base.notion
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Angel Menendez.
Original n8n.io sourceThis workflow is for professionals and teams who want to automate LinkedIn message replies with intelligent, human-like responses — without losing control over tone or accuracy. Ideal for founders, sales teams, DevRel, or community managers handling high-volume inbound messages.
Responding to every LinkedIn message manually is slow and inconsistent. Basic AI bots generate replies without context or nuance. This subworkflow solves both problems by using structured message routing from Notion and profile insights from UniPile to craft smart, context-aware responses.
This workflow takes the sender’s message and profile (from LinkedIn Auto Message Router with Request Detection) and references your centralized Notion database of message types. It uses that to either match the message to a known response or generate a new one using OpenAI's GPT model — all while following professional tone guidelines.
This is the third workflow in a 3-part automation system:
If a message comes from someone with low reach (e.g., under 1,000 followers), the AI politely deflects a meeting request. If an influencer reaches out, the AI immediately offers a booking link. Your team controls this logic by updating the Notion database — no edits to the workflow required.
Connect this workflow as a subworkflow in your router or Slack approval flow
Store your Notion API key and database ID in n8n
Provide the following parent inputs:
message – The LinkedIn message textsender – Name of the senderchatid – Session ID (optional for memory)linkedinprofile – Enriched array with LinkedIn context (follower count, connection info, etc.)Add your preferred AI model credentials (supports OpenAI, Gemini, or Ollama)
Optional: Customize system prompt to better match your brand voice
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Personalized LinkedIn responses with OpenAI GPT & Notion-based routing |
|---|---|
| Complexity | intermediate |
| Nodes | 11 |
| Categories | Lead Nurturing, Multimodal AI |
| Author | Angel Menendez |
| Published | 12 Jun 2025 |
Use the JSON export at /data/workflows/4891/4891.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Who is this for? This workflow is for professionals and teams who want to automate LinkedIn message replies with intelligent, human like responses — without losing control over tone or accuracy. Id...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Lead Nurturing, Multimodal AI use case.