I recently chatted with a VP at a large med tech company who wanted to work together. The story he told me perfectly illustrates why we've spent all this time building systematic, quality automation.

His CEO in America had been watching my TikToks about AI in business. Intrigued, she asked her UK team to check me out.

The UK VP found me on LinkedIn, followed my content there for a while, joined my newsletter and finally reached out about consulting work.

This wasn't a one-off. It's a pattern I see more and more - discovery on one platform, verification on another, then business inquiry.

For me personally it’s discovery through snappy TikTok content, heading to LinkedIn to validate my expertise and then maybe checking out my long form work in the newsletter... and by the time they reach out, they feel like they know me.

And we know the truth!

All this content, across all these platforms? It's coming from the same core sources we covered in Part 2. Same RSS feeds, same Twitter lists, same Reddit threads.

I'm not creating entirely unique content for each platform. I'm instead taking quality inputs and, using our processes from Parts 3 and 4, transforming them into platform-perfect outputs.

One good article or insight can become:

• A TikTok script

• A LinkedIn post

• A Twitter thread

• A newsletter section

• Multiple social posts

This "media empire" presence is just two people (me and my business partner) along with well-crafted systems.

I'm not a massive organisation with a content team. Just carefully built automations that turns one piece of content into thoughtful, platform-specific posts across multiple channels.

That's what we're building towards today. Not just automation for automation's sake, but strategic omnipresence that drives legit business results.

Let’s get started:

Building Your Multi-Format Machine

Remember in Part 4 when we set up that simple flow to Google Sheets? Then switched it to go “live” straight to Twitter?

Time to turn that single stream into a content delta.

Instead of one input → one output, we're going to create multiple parallel processes. We can set up your Make.com flow to run multiple prompts on the same input

• One prompt for TikTok scripts

• One for LinkedIn thought leadership

• One for Twitter threads

• And so on

Each format gets its own dedicated column in your Sheet. One piece of content, multiple outputs, all quality-controlled in one place.

The workflow will look something like this:

One input (the RSS blog feed) on the left which is then routed to all the different ChatGPT processing prompts which then output to a Google Sheet. Or later directly to LinkedIn, Twitter, Meta etc.

We are basically adding more platforms, more outputs, from the same input.

Here's where most people go wrong - they try to launch everywhere at once. Instead, start with your strongest platform. The one where your prompt game is already solid.

For me, that was Twitter. Once that was running smoothly, I expanded to LinkedIn. Why? Because my audience discovery pattern showed that's where people went to verify me. Makes sense - see a punchy AI video, check if I actually know my stuff on LinkedIn.

Each new platform needs three things:

1. Platform-specific prompts (remember Part 3?)

2. Quality metrics that matter for that platform

3. Clear connection to your business goals

It’s super tempting just to connect up everything and go ham. Don’t. Remember we want to automate quality. So again start each new flow with Google Sheet until you are happy with the draft quality. Then expand automations.

The Power of Platform Synergy

Different platforms serve different purposes:

• TikTok/Twitter → Discovery and reach

• LinkedIn → Credibility and expertise

• Newsletter → Depth and relationship building

Your automation should reflect these roles. Same source material, different emphasis:

• TikTok gets the snappy hooks

• LinkedIn gets the detailed analysis

• Newsletter gets the full deep dive

This is definitely more advanced but done well will give massive leverage. We can start to create output that match up to different levels of audience - discovery, validation and relationship building. We prepare content to met audience members where they are.

Here’s an example flow:

1. Discovery Content (TikTok, Twitter, Meta)

• Punchy, attention-grabbing hooks

• Short!!

• Aim for wide audience and volume

• Hints at deeper expertise

2. Validation Content (LinkedIn, Twitter)

• More detailed insights, hinted at in discovery content

• Medium length - Threads, short articles, 3-5 min video

• Higher level of expertise

• Business-focused angles

3. Relationship Building (Newsletter, private community)

• Deep dive content

• Long form (articles, newsletter issues, 10+ min videos, webinars)

• Direct value delivery

• Clear next steps (the sale!)

Adapt these stages for your particular industry obviously but in general these platforms and content types will work for most.

Remember that your automation should support this journey. Each piece of source material can hit multiple stages - the key is matching format to function. One source input could create content at all three levels.

Remember: You're not just posting everywhere for the fun of it. You're building a purposeful presence that guides people through a journey from discovery to business relationship. This is AI entrepreneurship after all.