Block 1 - Schedule Trigger1
- Type / Role
- n8n-nodes-base.scheduleTrigger - scheduleTrigger
- Config choices
- Version 1.2
This workflow is provided as-is. Please review and test before using in production.
This n8n template from Intuz delivers a complete AI powered solution for automated LinkedIn posts, including unique content, custom images, and optimized hashtags. Use cas...
n8n-nodes-base.scheduletrigger, @n8n/n8n-nodes-langchain.lmchatgooglegemini, @n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chainllm, n8n-nodes-base.linkedin, n8n-nodes-base.merge, @n8n/n8n-nodes-langchain.openai
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Intuz .
Original n8n.io sourceUse 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.
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-quality LinkedIn content.
Scheduled Content Engine: Each day (or on your chosen schedule), the workflow kicks into gear, ensuring a fresh stream of content.
Smart Topic & Content Generation: Using the power of Google Gemini, it intelligently crafts unique content topics and then expands them into full, engaging posts, ensuring your message is always fresh and relevant.
Dynamic Image Creation: To make your posts stand out, the workflow leverages an AI image generator (like DALL-E) to produce a custom, eye-catching visual that perfectly complements your generated text.
SEO-Optimized Hashtag Generation: Google Gemini then analyzes your newly created post and automatically generates a set of relevant, trending, and SEO-friendly hashtags, significantly boosting your content's reach and discoverability.
Seamless LinkedIn Publishing: Finally, all these elements—your compelling text, unique image, and powerful hashtags—are merged and automatically published to your LinkedIn profile, establishing you as a thought leader with minimal effort.
This guide will get your AI LinkedIn Content Automation workflow up and running in n8n.
Import Workflow Template:
Configure Credentials:
Customize Schedule & AI Prompts:
Schedule Trigger: Double-click "Schedule Trigger 1" to set how often your workflow runs (e.g., daily, weekly).
AI Prompts: Review and edit the prompts within the "Content Topic Generator," "Content Creator," and "Hashtag Generator / SEO" nodes to guide the AI for your desired content style and topics.
Test & Activate:
Test Run: Click "Execute Workflow" to perform a test run and verify all steps are working as expected.
Activate: Once satisfied, toggle the workflow "Active" switch to enable automated posting on your defined schedule.
To use this workflow template, you will need:
n8n Instance: A running n8n instance (cloud or self-hosted) to import and execute the workflow.
Google Gemini Account: For content topic generation, content creation, and hashtag generation (requires Google Gemini API Key) from Google AI Studios.
AI Image Generation Service Account: For creating images (e.g., OpenAI DALL-E API Key or similar service that the "Generate an Image" node uses).
LinkedIn Account: For publishing the generated posts (requires LinkedIn OAuth Credentials for n8n connection).
Click here- Get Started
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 | Automate LinkedIn post creation with image using Google Gemini & DALL-E |
|---|---|
| Complexity | advanced |
| Nodes | 21 |
| Categories | Content Creation, Multimodal AI |
| Author | Intuz |
| Published | 10 Jul 2025 |
Use the JSON export at /data/workflows/5840/5840.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.
This n8n template from Intuz delivers a complete AI powered solution for automated LinkedIn posts, including unique content, custom images, and optimized hashtags. Use cas...
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 Content Creation, Multimodal AI use case.