How to Automatically Rewrite Content for Multiple Platforms Using Make.com and OpenAI
Creating platform-specific versions of your content shouldn't mean hours of manual rewriting. This Make.com workflow pulls transcripts from Google Sheets, uses OpenAI to generate tailored posts for X, YouTube Shorts, and more - then updates your spreadsheet automatically. The result? Consistent multi-platform content in minutes instead of hours.
The Content Repurposing Challenge
Every content creator knows the frustration: you spend hours crafting the perfect video or blog post, only to face the daunting task of rewriting it for X, YouTube Shorts, LinkedIn, and other platforms. The blank page stares back as you struggle to rephrase the same ideas in slightly different ways.
This repetitive work isn't just tedious—it's inefficient. Studies show content teams spend 30-40% of their time simply reformatting existing material rather than creating new value. The solution? Automation that handles the mechanical rewriting while you focus on strategy and quality control.
Key insight: AI excels at content transformation—the exact task most humans find most tedious. By automating this repetitive work, you reclaim hours each week for higher-value activities.
How the Make.com + OpenAI Workflow Works
This automation solves the repurposing problem through a simple but powerful sequence:
- Pull video transcripts or blog content from Google Sheets
- Break content into manageable chunks using Make.com's Iterator
- Send each piece to OpenAI with platform-specific prompts
- Receive transformed content tailored for each platform
- Write the new versions back to your spreadsheet
The magic happens in the prompts—carefully crafted instructions that tell OpenAI exactly how to rewrite your content for each platform's unique requirements and audience expectations.
Step 1: Setting Up Google Sheets Integration
The workflow begins by connecting Make.com to your content repository in Google Sheets. At 2:15 in the video, you'll see how to:
- Locate your spreadsheet ID from the URL
- Configure the "Get Range of Values" module to pull your content
- Set the correct sheet name and cell range (e.g., A2:C6)
- Test the connection to ensure proper data flow
Pro tip: Structure your source spreadsheet with clear columns for original content and empty columns where the platform-specific versions will be written. This makes the automation cleaner and easier to maintain.
Step 2: Configuring OpenAI for Content Transformation
With your content flowing into Make.com, the next step is configuring OpenAI to transform it. At 5:40 in the tutorial, you'll learn:
- How to connect your OpenAI API key to Make.com
- When to use GPT-3.5 vs. GPT-4 (hint: GPT-3.5 is cost-effective for simple transformations)
- Setting token limits to control costs
- Mapping spreadsheet content to the prompt variables
The video demonstrates how each piece of content flows into OpenAI's "Generate Response" module, ready to be transformed according to your platform-specific instructions.
Step 3: Creating Platform-Specific Prompts
The quality of your output depends entirely on the prompts you provide. At 7:20, the tutorial shows how to:
- Use ChatGPT to help craft effective transformation prompts
- Tailor instructions for different platforms (e.g., concise hooks for X vs. keyword-rich descriptions for YouTube Shorts)
- Iterate on prompts based on initial results
- Add formatting rules (like avoiding em dashes in social posts)
Example X prompt: "Transform this video transcript into a compelling tweet that makes viewers curious to watch the full video. Keep it under 240 characters. Don't summarize the whole video—just tease one interesting aspect. Avoid em dashes."
Step 4: Building the Make.com Workflow
With all components ready, the tutorial at 10:15 walks through assembling the complete workflow:
- Adding an Iterator to process content pieces sequentially
- Setting up routers for different platform transformations
- Configuring the Google Sheets "Update Row" module to write results back
- Testing and debugging the sequence
The final workflow handles the entire repurposing process automatically—pulling content, transforming it for multiple platforms, and updating your spreadsheet—while you focus on reviewing and scheduling the results.
Cost Analysis: Is This Automation Worth It?
At 13:50 in the video, we break down the economics:
- Make.com operations: ~10 operations per content piece (about $0.01)
- OpenAI tokens: ~$0.03 per transformation
- Time saved: 15-30 minutes per piece vs. manual rewriting
For businesses publishing regularly, this automation typically pays for itself within days. The real value comes from freeing creative teams to focus on strategy rather than mechanical rewriting.
ROI example: A team publishing 20 pieces per month saves 5-10 hours of rewriting time while spending less than $10 on automation costs.
Watch the Full Tutorial
See the complete workflow in action—including how to troubleshoot common issues and refine your prompts for better results. The video demonstrates every step from connecting Google Sheets to reviewing the final transformed content.
Key Takeaways
Content repurposing doesn't have to mean hours of tedious rewriting. By combining Make.com's automation power with OpenAI's transformation capabilities, you can:
- Maintain consistent multi-platform presence without the manual work
- Free your team to focus on strategy rather than mechanical tasks
- Scale your content operations efficiently
- Adapt messaging for each platform's unique requirements
In summary: This workflow turns one piece of content into platform-ready versions automatically—saving hours per week while ensuring your message reaches every audience effectively.
Frequently Asked Questions
Common questions about this topic
This automation can save 3-5 hours per week for businesses regularly repurposing content. Instead of manually rewriting each piece for different platforms, the Make.com workflow handles the transformation automatically while you focus on strategy and editing.
The time savings compound significantly for teams publishing multiple pieces weekly. What previously took an afternoon of tedious rewriting now happens automatically in minutes.
- Typical savings: 15-30 minutes per content piece
- Eliminates context-switching between platforms
- Reduces creative fatigue from repetitive work
The workflow works with video transcripts, blog posts, newsletters, or any text-based content stored in Google Sheets. The key is having structured source material that OpenAI can transform into platform-specific versions.
Common use cases include turning long-form content into social media posts, adapting technical material for different audiences, or localizing content for regional markets.
- Video transcripts → Social posts
- Blog articles → Newsletter snippets
- White papers → LinkedIn threads
- Product documentation → FAQ pages
The workflow costs approximately $0.03 per OpenAI request plus Make.com operations. At scale, this typically works out to $5-10 per month - far less than hiring a content writer or spending hours manually rewriting.
Make.com charges about $9 for 10,000 operations, while OpenAI's GPT-3.5 costs pennies per transformation. The automation becomes more cost-effective the more you use it.
- Cost components: Make.com operations + OpenAI tokens
- Bulk discounts available at higher volumes
- ROI improves with frequent use
Yes, the OpenAI prompts can be tailored to match your brand voice precisely. You can specify tone, formatting preferences, hashtag strategies, and even include examples of your best-performing content as references.
The key is refining your prompts through iteration. Start with general instructions, review the outputs, then gradually add more specific guidance until the AI consistently produces on-brand content.
- Provide examples of your best posts
- Specify tone (professional, casual, humorous)
- Define formatting preferences
The workflow demonstrated creates content for X and YouTube Shorts, but can be extended to LinkedIn posts, Instagram captions, email newsletters, or any platform requiring text content. Each platform gets its own prompt and output column.
Additional platforms simply require adding new OpenAI modules with tailored prompts and mapping the outputs to new spreadsheet columns.
- Social media (X, LinkedIn, Instagram)
- Video platforms (YouTube, TikTok)
- Email newsletters
- Blog snippets
The workflow outputs to Google Sheets for easy human review before publishing. You can add approval steps, track edits over time, and refine your prompts based on what content performs best.
Best practice is to review the first few batches carefully, note any consistent issues, then update your prompts accordingly. Over time, the AI learns your preferences through better instructions.
- Always review before publishing
- Track which prompts produce the best results
- Iterate based on performance data
Yes, OpenAI supports content transformation in multiple languages. Simply specify your target language in the prompts and ensure your source content is properly structured for translation.
For best results with non-English content, consider adding language-specific instructions to your prompts and verifying the outputs with native speakers during initial testing.
- Works with major world languages
- Specify target language in prompts
- Review outputs with native speakers
GrowwStacks specializes in building custom Make.com workflows tailored to your content operations. We'll analyze your existing content, design platform-specific prompts, and implement a complete automation system that saves your team hours each week.
Our automation experts handle everything from initial setup to ongoing optimization, ensuring you get maximum value from your content repurposing workflow.
- Custom workflow design for your content needs
- Platform-specific prompt engineering
- Ongoing optimization and support
Ready to Automate Your Content Repurposing?
Stop wasting hours rewriting the same ideas for different platforms. Let GrowwStacks build you a custom Make.com workflow that handles the mechanical work while your team focuses on strategy.