Block 1 - Simple Memory3
- Type / Role
- @n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
- Config choices
- Version 1.3
This workflow is provided as-is. Please review and test before using in production.
Optimize Existing YouTube Video Metadata using AI and YouTube API This n8n workflow automatically enhances the Search Engine Optimization (SEO) of your existing YouTube videos. Provide a video link...
@n8n/n8n-nodes-langchain.memorybufferwindow, @n8n/n8n-nodes-langchain.lmchatdeepseek, n8n-nodes-base.stickynote, n8n-nodes-base.formtrigger, n8n-nodes-base.code, n8n-nodes-base.youtube, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.form
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Lucas Correia.
Original n8n.io sourceThis workflow is designed for:
Who want to improve the visibility and reach of their existing video library without manual effort.
Digital Marketers & Social Media Managers: Who manage YouTube channels and need an efficient way to revitalize older or underperforming content.
Managing multiple client YouTube channels and looking for scalable optimization solutions.
Many creators have a backlog of published videos that aren't reaching their full potential due to suboptimal titles, descriptions, or tags. Manually reviewing and updating each video is time-consuming and requires SEO expertise.
Takes a YouTube video URL as the starting point (e.g., via a manual trigger or form).
Connects to the YouTube API using the provided link to retrieve the video's current title, description, tags, and potentially transcript data (if accessible and configured).
Sends the current metadata and video information to an AI model (like OpenAI, Google AI, or Anthropic - depending on your setup).
The AI analyzes the content and generates new, SEO-optimized suggestions for the:
Connects to the YouTube API again using appropriate permissions and updates the specific video with the newly generated title, description, and tags, replacing the old ones.
To use this workflow, you will need to:
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 | Advanced AI-powered YouTube SEO optimization & auto-update |
|---|---|
| Complexity | intermediate |
| Nodes | 12 |
| Categories | Content Creation, Multimodal AI |
| Author | Lucas Correia |
| Published | 12 Apr 2025 |
Use the JSON export at /data/workflows/3528/3528.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.
Optimize Existing YouTube Video Metadata using AI and YouTube API This n8n workflow automatically enhances the Search Engine Optimization (SEO) of your existing YouTube videos. Provide a video link...
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.