🎬 Generate meta & TikTok ad copy with OpenAI and Slack approval workflow
⚡ 406 views · 🎬 Content Creation & Video
💡 Pro Tip — Since TikTok doesn’t have a public API, getting data usually means fragile HTTP scraping. ScraperNode is a community node that gives you clean JSON for TikTok profiles, videos, and comments — drop it into your workflow and skip the parsing.
Description
Who’s it for
Marketing teams, copywriters, and agencies who need to quickly generate and iterate on ad copies for Meta and TikTok campaigns. Perfect for brands that want AI-powered copy generation with human review and approval built into the workflow.
What it does
This workflow automates the ad copy creation process by:
- Collecting brand and product information through a form
- Using AI to generate tailored ad copies based on brand type (Fashion or Problem-Solution)
- Sending copies to Slack for team review and approval
- Handling revision requests with feedback incorporation
- Limiting revisions to 3 rounds to maintain efficiency
How to set up
- Configure your OpenAI credentials in the OpenAI nodes
- Set up Slack integration and select your review channel in all Slack nodes
- Customize the AI prompts in the OpenAI nodes to match your brand voice
- Test the form to ensure file uploads and data collection work properly
- Activate the workflow when ready
Requirements
- OpenAI API access (GPT-3.5 or GPT-4)
- Slack workspace with appropriate channel permissions
- Self-hosted n8n instance (for file upload functionality)
How to customize
- Adjust the AI prompts in OpenAI nodes to match your specific industry or brand guidelines
- Modify the revision limit in the “Edit Fields: Revision Counter Max 3” node
- Add additional brand types in the form dropdown and corresponding AI nodes
- Customize Slack messages to match your team’s communication style
🔗 Nodes Used
Slack, n8n Form Trigger, OpenAI
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File