How to Automate LinkedIn Content Creation with Make.com — AI-Powered Repurposing
Most businesses know they should post consistently on LinkedIn — but between writing, scheduling, and engagement, it becomes a full-time job. This Make.com workflow handles everything automatically, giving you professional content without the daily grind.
The LinkedIn Content Problem
Creating consistent, high-quality LinkedIn content is one of the biggest challenges for professional brands. The platform's algorithm rewards daily posting, but most businesses struggle with three key issues:
First, content ideation — constantly coming up with fresh topics that resonate with your audience. Second, the actual writing process — transforming those ideas into polished posts. And third, maintaining a consistent publishing schedule without letting other priorities derail it.
68% of marketers say creating enough content is their biggest LinkedIn challenge, while 42% cite maintaining consistency as their primary struggle (LinkedIn Marketing Solutions, ).
How the Automation Works
This Make.com workflow solves all three challenges through intelligent automation. It operates in two distinct phases that together create a complete content engine:
Phase 1: Scrapes high-performing LinkedIn posts in your industry, filters for evergreen content, and uses AI to rewrite them in your brand voice.
Phase 2: Automatically schedules the rewritten posts to publish at optimal intervals, creating a consistent presence without manual effort.
The system runs continuously in the background, ensuring you always have fresh content queued up and ready to publish — even when you're focused on other aspects of your business.
Part 1: Content Scraping & Rewriting
The workflow begins with Appify nodes that handle the content sourcing and transformation process. At 1:15 in the video, you can see the exact sequence:
- A webhook trigger activates when the LinkedIn scraper completes a run
- The system lists all posts scraped during that session
- Duplicate checking removes any content already in the database
- Text normalization cleans up formatting inconsistencies
- An AI classifier filters out personal posts, keeping only evergreen content
- OpenAI rewrites the selected posts in your specified tone of voice
- Final versions are stored in Google Sheets for scheduling
Key benefit: The AI rewriting preserves the core message of high-performing posts while adapting them to sound like your original content — no generic "AI voice" that readers can spot instantly.
Part 2: Automatic Scheduling
The second half of the workflow handles publishing logistics. As shown at 2:30 in the demo:
- The system checks your Google Sheets database for rewritten posts
- Each new post is scheduled to publish exactly one hour after the last scheduled post
- This creates a natural, consistent posting cadence without gaps
- You can manually adjust timing for testing or special circumstances
The automated scheduling means your LinkedIn presence maintains momentum even during busy periods or vacations. The workflow essentially becomes your always-on content team.
Time Saved With Automation
Let's break down the time savings this workflow delivers for a typical professional services firm:
Manual Process:
- Content research: 2 hours/week
- Writing posts: 3 hours/week
- Scheduling/engagement: 2 hours/week
Total: 7 hours/week
Automated Process:
- System maintenance: 30 minutes/week
- Quality review: 1 hour/week
Total: 1.5 hours/week
That's 5.5 hours saved weekly — nearly a full workday — while actually increasing content output and consistency. Over a year, this adds up to 286 hours (nearly 7 workweeks) reclaimed for higher-value activities.
Watch the Full Tutorial
See the complete workflow in action starting at 0:45 where we walk through the Appify configuration and demonstrate the AI rewriting process in real-time.
Key Takeaways
This Make.com workflow transforms LinkedIn content creation from a time-consuming chore to an automated growth engine. Here's what makes it powerful:
In summary:
1. Scrapes proven-performing content so you're always sharing what works
2. AI rewriting adapts posts to your unique brand voice
3. Automated scheduling maintains perfect posting consistency
4. Saves 5+ hours weekly while improving content quality
The system works continuously in the background, ensuring your LinkedIn presence grows steadily even when you're focused elsewhere. It's like having a professional content team working for you around the clock.
Frequently Asked Questions
Common questions about LinkedIn content automation
The workflow automates three time-consuming tasks: scraping high-performing LinkedIn posts, rewriting them in your brand voice using AI, and scheduling publication.
This eliminates hours of manual content curation and writing each week while ensuring consistent posting frequency.
- Saves 5+ hours weekly compared to manual creation
- Maintains posting consistency automatically
- Focuses your effort on engagement rather than content production
The system focuses on evergreen content - posts with lasting value rather than personal updates.
It uses AI classification to filter out time-sensitive or personal posts, preserving only content that remains relevant to your audience over time.
- Prioritizes industry insights and professional advice
- Excludes personal announcements and news updates
- Focuses on content with long-term engagement potential
OpenAI analyzes each scraped post and rewrites it in your specified tone of voice while preserving the core message.
The system adapts writing style, vocabulary, and phrasing to match your brand voice guidelines while maintaining the original post's value and intent.
- Maintains original post structure and key points
- Adjusts tone to match your brand personality
- Stores multiple rewritten versions for variety
Posts are automatically scheduled to go live one hour after the last scheduled post.
This creates a consistent publishing cadence that keeps your profile active in followers' feeds without requiring manual scheduling.
- Default spacing of 1 hour between posts
- Adjustable timing for different content strategies
- Automatic queue management prevents gaps
The workflow checks a database of previously scraped posts and drops any duplicates before rewriting.
Each post receives a unique content fingerprint that prevents republication of identical or substantially similar content.
- Automated duplicate detection
- Content fingerprinting technology
- Continuous database updates
Yes, you can specify your preferred writing style, tone, and brand voice parameters in the OpenAI configuration.
The system supports multiple preset voice options or can be trained on samples of your existing content to match your unique style.
- Professional, conversational, or technical tones
- Custom vocabulary and phrasing rules
- Industry-specific terminology integration
A basic version can be set up in about 2 hours. Full customization with your specific brand voice and posting cadence typically takes 3-5 business days.
Implementation speed depends on the complexity of your requirements and the amount of training data available for voice matching.
- Basic setup: 2 hours
- Full customization: 3-5 days
- Voice training: 1-2 days (if needed)
GrowwStacks specializes in building custom Make.com workflows for LinkedIn automation. We handle the complete implementation from start to finish.
Our team will configure the scraper to target your ideal content sources, train the AI on your brand voice, establish your optimal publishing schedule, and ensure seamless operation.
- Complete end-to-end implementation
- Brand voice training and testing
- Ongoing maintenance and optimization
Ready to Automate Your LinkedIn Content?
Stop wasting hours each week manually creating posts. Let GrowwStacks build your custom Make.com workflow that publishes professional content automatically.