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Sinan Koçak
Sinan Koçak

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Build a Self-Running Content Repurposing Pipeline That Earns $800+/Month

Stop Trading Time for Money: Let AI Repurpose Your Content 24/7

Here's a dirty secret most content creators won't tell you: the money isn't in creating new content. It's in squeezing every dollar out of content you've already made.

I built an automated pipeline that takes a single blog post and transforms it into 12 different content pieces across 5 platforms — completely hands-free. Last month it generated $847 in affiliate revenue from content I wrote once in 2023.


The Core Idea

Most creators publish once and move on. An AI pipeline can continuously reformat, repost, and redistribute your evergreen content to platforms you're not even actively managing.


The Stack You'll Need

  • Make.com (free tier works to start)
  • OpenAI API (~$5-15/month usage)
  • Buffer or Typefully for scheduling
  • RSS feed from your existing blog
  • Gumroad or affiliate links embedded in content

Step-by-Step Implementation

Step 1: Set Up Your RSS Trigger

In Make.com, create a new scenario with an RSS feed watcher pointed at your blog. Set it to check every 24 hours. This fires whenever you publish something new — or you can manually add old post URLs to a Google Sheet as the trigger source.

Step 2: Build the Transformation Prompt

Send the scraped article body to GPT-4o with this system prompt:

You are a content repurposing expert. Transform the provided article into:
1. A 280-character tweet with a hook
2. A 5-slide carousel outline for LinkedIn
3. A 60-second script for a YouTube Short
4. Three Reddit paragraph-style comments that add value to relevant subreddits
5. An email newsletter intro (150 words)
Return as structured JSON.
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Step 3: Route Each Output

Use Make.com's router module to split the JSON response and send each piece to its destination. Tweets go to Buffer, the newsletter intro hits your Beehiiv draft queue, and the Reddit comments land in a Google Sheet for manual review before posting (Reddit's API has nuances worth respecting).

Step 4: Embed Your Monetization Layer

Before content goes out, run a second GPT call that naturally weaves in your affiliate links or Gumroad product mention contextually. Prompt it to insert one soft CTA that matches the platform's tone.

Step 5: Schedule and Forget

Buffer handles the timing intelligence. Set optimal posting windows per platform and let it run. The whole scenario executes in under 90 seconds per article.


Real Numbers From My Pipeline

Platform Monthly Clicks Affiliate Revenue
Twitter/X 4,200 $310
LinkedIn 1,800 $290
Newsletter 890 $247
Total 6,890 $847

Setup time was about 6 hours total. Monthly maintenance is under 20 minutes.


The Compounding Effect

Here's what makes this genuinely passive: every new article you write feeds the machine, but so does your back catalog. I loaded 3 years of old posts into the trigger sheet and let Make.com process 5 per day. That's months of scheduled content generated in one afternoon.


Start Small, Scale Fast

Don't try to hit all 5 platforms on day one. Pick two, get the pipeline stable, then expand. The Make.com free tier allows 1,000 operations/month — plenty to validate before spending a cent on upgrades.

Your content is already written. Make it work harder than you do.

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