Block 1 - OpenAI Chat Model
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
- Config choices
- Version 1.2
This workflow is provided as-is. Please review and test before using in production.
Template Description: Never run out of high quality LinkedIn content again. This workflow is a complete content factory that takes a simple topic from a Google Sheet, uses AI to research a tre...
@n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.toolserpapi, n8n-nodes-base.set, n8n-nodes-base.if, n8n-nodes-base.manualtrigger, n8n-nodes-base.wait, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.googlesheets
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Onur.
Original n8n.io sourceTemplate Description: > Never run out of high-quality LinkedIn content again. This workflow is a complete content factory that takes a simple topic from a Google Sheet, uses AI to research a trending angle, writes a full post, generates a unique and on-brand image, and publishes it directly to your LinkedIn profile.
This template is designed for brands and creators who want to maintain a consistent, high-quality social media presence with minimal effort. The core feature is its ability to generate visuals that adhere to a specific, customizable brand style guide.
🚀 What does this workflow do?
🎯 Who is this for?
✨ Benefits
⚙️ How it Works
Code node constructs a detailed prompt, merging the post's content with your defined brand style guide.📋 n8n Nodes Used
Google SheetsLangchain Agent (with OpenAI & SerpAPI)CodeHTTP RequestWait / IfLinkedInGoogle Drive🔑 Prerequisites
🛠️ Setup
1. Get Pending Topic... node, select your spreadsheet and sheet. Do the same for the final 8. ...Update Status node.4. Generate Branded Image Prompt (Code) node, edit the fixedImageStyleDetails variable. Change the RAL color codes and descriptive words to match your brand's visual identity.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 | LinkedIn content factory with OpenAI research & Replicate branded images |
|---|---|
| Complexity | advanced |
| Nodes | 23 |
| Categories | Multimodal AI |
| Author | Onur |
| Published | 17 Sept 2025 |
Use the JSON export at /data/workflows/8686/8686.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.
Template Description: Never run out of high quality LinkedIn content again. This workflow is a complete content factory that takes a simple topic from a Google Sheet, uses AI to research a tre...
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 Multimodal AI use case.