Score LinkedIn leads against your ICP with Google Sheets, SourceGeek and Gemini
UnknownWhat this workflow does
This AI workflow has 9 nodes and runs manually, when you click “Execute workflow”. Along the way it connects Google Gemini Chat Model, Google Sheets and Sourcegeek (community).
How it runs
Trigger: Manually, when you click “Execute workflow”.
- Get LinkedIn profile urls from sheet (Google Sheets): uses Google Sheets
- Get data from a linkedin profile (Sourcegeek): uses Sourcegeek
- AI Agent: runs an AI agent, with model: Google Gemini Chat Model; memory: Simple Memory
- JS code creating an array (Code): runs custom JavaScript code
- Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
- Update row in sheet (Google Sheets): update
Services it uses
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that n8n-nodes-sourcegeek is verified or supports 3.0 (used in Get data from a linkedin profile).
Nodes used (8)
- Manual Trigger
n8n-nodes-base.manualTrigger - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Sourcegeek
n8n-nodes-sourcegeek.sourcegeek - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Google Sheets
n8n-nodes-base.googleSheets - AI Agent
@n8n/n8n-nodes-langchain.agent - Code
n8n-nodes-base.code
From the author
How it works This template is using a LinkedIn User Profile in combination with your detailed Ideal Customer Profile (ICP) to create a score, including reasoning and outreach messages. It is manually triggered and uses a Google Sheet as an entry point. Inside…