You published a blog post last Tuesday. You meant to turn it into three Instagram captions, a Pinterest pin description, a LinkedIn post, and a short email to your list. It’s now the following Monday and none of that happened. The content that took you four hours to write reached about sixty people — the ones who happened to check your blog — and then vanished.
Content repurposing is one of the highest-ROI activities a solopreneur can do, and it’s also one of the most consistently skipped. This article walks through how to automate content repurposing with Make.com and AI so that every piece of content you create distributes itself automatically — across platforms, in the right format for each one, without you writing a single extra word.

Why content repurposing matters more for solopreneurs than for teams
A content team at a media company has dedicated people who turn one piece of content into platform-specific formats. A solopreneur has nobody. Every post, every video, every podcast episode exists in a single format unless you personally transform it into another one — which takes time you’re also supposed to be using to create the next piece of content.
The math is worth understanding clearly. A well-written blog post represents two to five hours of effort. That post, published once and forgotten, might reach 200 to 500 people over its first week. The same post repurposed into four social formats, one email, and two Pinterest pins reaches the same 200 to 500 through the blog and an additional audience through every other channel. The content is the same. The reach is two to four times larger. The additional time investment — with automation — is essentially zero.
This is why automated content repurposing isn’t a productivity hack. It’s the difference between creating content that reaches its potential audience and creating content that disappears after its first publication.
Your action: Before building anything, identify your primary content format — blog posts, podcast episodes, or short videos. The automation you build starts there and distributes outward. Pick the format you create most consistently and build for that first.
The one-to-many content model
The most efficient automated content repurposing approach follows a simple principle: one primary piece of long-form content becomes the source material for everything else that week.
A blog post becomes the source for a LinkedIn post summarizing the key insight, an Instagram caption using the most quotable line, a Pinterest pin description optimized with search keywords, and an email newsletter introduction that drives subscribers back to the full post. A podcast episode becomes a blog post transcript, a Twitter thread of the key points, and a show notes page. The original content is the raw material — the automation and AI are the processing plant.
The key distinction is that each platform gets content formatted for how its audience actually consumes content, not a copy-paste of the original. LinkedIn readers want insights in plain paragraph form. Instagram readers want short, punchy captions with a clear visual hook. Pinterest needs keyword-dense descriptions that tell the algorithm exactly what the pin is about. An AI model connected through Make.com generates each format specifically — which is what makes the output actually useful rather than obviously repurposed.
The Make.com + AI repurposing workflow for bloggers
This is the workflow Web Moguls uses: a new WordPress post publishes, Make.com detects it, sends the content to an AI API, and distributes platform-specific outputs to each social channel automatically.
Setting up the trigger
Create a new Make.com scenario with a WordPress → Watch Posts trigger set to fire on Published status. This captures the post title, content, URL, and excerpt — everything the AI needs to generate repurposed formats.
Calling the AI API
Add an HTTP → Make a Request module that calls the Claude API (or OpenAI’s API if you prefer GPT-4). The request body contains a system prompt that defines the brand voice and output format, followed by the blog post content as the user message. The system prompt should specify that you want five specific outputs returned as structured JSON: a LinkedIn post (150 to 250 words, professional tone, ends with a question), an Instagram caption (under 150 words, conversational, includes relevant emoji), a Pinterest pin title (under 100 characters, keyword-rich), a Pinterest pin description (150 to 200 words, SEO-focused), and an email introduction (100 to 150 words, drives clicks to the full post).
Returning all five outputs in a single API call is more efficient than making five separate calls. Parse the JSON response in Make.com using the JSON → Parse JSON module to extract each output into individual variables.
Routing to each platform
From the parsed variables, route each output to its destination. A LinkedIn → Create a Post module receives the LinkedIn copy. A Buffer → Create Update or direct Facebook → Create a Post module handles Facebook. Pinterest pins are created through the Pinterest → Create a Pin module using both the title and description variables. The email introduction gets appended to a Google Docs → Append a Paragraph module in a running draft document that you review and send manually each week — keeping human review in the loop for the email channel specifically.
Your action: Start with just one output. Connect WordPress to the AI API and build only the LinkedIn post output first. Get that one path working correctly before adding the other platforms. One working platform tells you the core workflow functions — everything else is replication.

Extending the workflow: podcast episodes and YouTube videos
The same repurposing model works for audio and video content — the only difference is how you get the source text into Make.com.
For podcast episodes, connect your podcast hosting platform (Buzzsprout, Transistor, or Podbean all have Make.com integrations) as the trigger. When a new episode publishes, Make.com retrieves the show notes or description and passes it to the AI for repurposing. If your show notes are detailed — covering the main topics, key quotes, and timestamps — the AI has enough material to generate a blog post summary, social captions, and a Pinterest pin without accessing the audio.
For YouTube videos, trigger on a new video upload using the YouTube → Watch Videos module. Use the video description and title as source material, or integrate a transcription service like ** Rev** or AssemblyAI that converts the audio to text first. A transcript gives the AI enough material to write a substantial blog post draft, which you then edit and publish — effectively reversing the content flow so video becomes written content rather than the other way around.
This reverse repurposing — video or podcast to blog post — is particularly powerful for search visibility. Spoken content reaches a different audience than written content, and the same ideas show up in Google when they exist as indexed blog posts in addition to living on YouTube or in a podcast feed.
Your action: If you create any long-form audio or video content, map out the repurposing chain on paper: what formats could each episode or video become? That map tells you which additional Make.com modules to build next.

The bottom line
Automating content repurposing with Make.com and AI turns every piece of content you create into multiple pieces — automatically, in platform-appropriate formats, without extra writing time. A blog post that used to reach one audience now reaches four or five, and the additional effort is building the workflow once rather than repeating the formatting work for every post forever.
Start with the blog-to-LinkedIn workflow. It’s the simplest path and the one with the most immediate visibility payoff for most solopreneurs. Once that’s running, add Instagram, then Pinterest. The compounding reach builds with every platform you connect.
Your next step: Open Make.com and create a new scenario with a WordPress trigger. Write your AI system prompt for the LinkedIn output — specify tone, length, and format explicitly. Test it on your last published post before you build anything else. One working output makes the full workflow feel achievable.