Create scheduled LinkedIn thought leadership posts with Google Gemini
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 13 nodes and runs on a schedule (every day at 09:00). Along the way it connects LinkedIn, Google Gemini Chat Model and Google Gemini.
How it runs
Trigger: On a schedule (every day at 09:00).
- Content topic generator (AI Agent): runs an AI agent, with model: Google Gemini Chat Model; output parser: Structured Output Parser
- Content creator (Basic LLM Chain): sends a prompt to an LLM, with model: Google Gemini Chat Model; output parser: Structured Output Parser
- Hashtag generator /SEO (AI Agent): runs an AI agent, with model: Google Gemini Chat Model; output parser: Structured Output Parser
- Generate an image (Google Gemini): work with image
- Merge: merges the data from its input branches
- LinkedIn: uses LinkedIn
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (8)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - AI Agent
@n8n/n8n-nodes-langchain.agent - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Merge
n8n-nodes-base.merge - LinkedIn
n8n-nodes-base.linkedIn - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Google Gemini
@n8n/n8n-nodes-langchain.googleGemini
From the author
Quick overview This workflow runs every 6 hours to generate a LinkedIn post idea, draft the full post and an accompanying image description with Google Gemini, create relevant hashtags, and then publishes the post content to a LinkedIn profile. How it works…