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Automate LinkedIn post creation with image using Google Gemini & DALL-E

n8n template #5840
This n8n template from Intuz delivers a complete AI-powered solution for automated LinkedIn posts, including unique content, custom images, and optimized hashtags. Use cases are many: Generate and schedule tailored LinkedIn content for different use-cases. By feeding the AI specific prompts, you can create specific post depending upon the topics and visuals to maintain a consistency yet and an online presence. How it works Maintaining a consistent and engaging presence on LinkedIn can be time-consuming, requiring constant ideation, content creation, and manual posting. This workflow takes that burden off your shoulders, delivering a fully automated solution for generating and publishing high

How to set it up

  1. Open template #5840 on n8n.io and click Use for free, or copy the template JSON and paste it onto an empty canvas in n8n.
  2. Create 3 credentials under Credentials → Add credential: LinkedIn, OpenAI, Google Gemini Chat Model. Then open each of those nodes and pick the credential.
  3. Check the model in the AI Agent node. The template may point at a model your account can't use; swap it for one you have access to.
  4. Click Execute workflow and step through each node's output to confirm the data looks right.
  5. Toggle the workflow to Active so its trigger runs on its own.

Hand off to your agent

Prompt

Help me set up the n8n workflow "Automate LinkedIn post creation with image using Google Gemini & DALL-E" (https://n8n.io/workflows/5840). It uses: LinkedIn, AI Agent, Basic LLM Chain, Structured Output Parser, OpenAI, Google Gemini Chat Model. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.

Paste into Claude Code and it will do the rest.

Apps and nodes

Questions

Yes. Intuz published it free on n8n.io as a verified creator, and it has 8,345 views. It runs on n8n Cloud or a self-hosted n8n instance.

LinkedIn, OpenAI, Google Gemini Chat Model. The other 3 nodes are built into n8n.

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