I haven't been able to talk about this until now

There has never been a better time to post content as a founder.

That is the reason I am finally excited to talk publicly about something we have been building for the last 2 years.

Before I get into that, over the last 4 years, my team has produced more than 100,000 pieces of content, generated tens of millions of impressions, and helped drive millions of dollars in revenue for the 400+ founders and CEOs whose personal brands we have managed.

That is the sample size we are working from.

Every insight in what I am about to describe came from watching what worked across that scale.

Somewhere in the middle of doing that work, we realized we were building 2 things at the same time.

The obvious one was the personal brand itself.

The less obvious one was the system underneath i.e. the workflows, the pattern recognition, the optimization loops.

That underlying system was what made the content predictably do well. And somewhere along the way, we stopped treating it as internal ops and started building it into something bigger.

We call it the Content Suite.

Here is the current state of the Content Suite:

5 layers, each feeding the next.

1. Brand profile.

The system learns who you are. Your voice. Your beliefs. What you would and would not say.

2. Topics.

The system pulls topics from the conversations already happening in your space, the ideas your audience is engaging with, and the patterns it sees across the hundreds of founder accounts.

3. The interview. (This is the piece almost every AI content tool skips and it is the reason most AI-generated content sounds hollow).

The system asks you questions and pulls the actual thinking out of your head. The final post is generated from your perspective on the topic and structured with potential to go viral.

4. Structures.

The system matches your idea to the viral content structure currently performing for that type of idea. This is the layer that turns a good idea into a post the algorithm pushes.

5. Optimization.

Every post gets tracked. What worked, what did not, what patterns showed up. That data feeds back into the topics layer with better information for the next cycle.

Each week the system knows more about your account than the week before. The content improves because the system is watching AND because it is watching dozens of founder accounts at the same time, it catches anomalies and patterns no single founder could ever see on their own.

Here is why this matters more than any tactical breakdown I could give you this week.

The biggest mistake founders make with AI content right now is skipping straight to writing. They open ChatGPT or Claude, type a rough idea and hit generate.

The output is generic because the input skipped every step that would have made it not generic.

Content that converts gets built by pulling a specific idea out of a specific person's head, matching it to the specific format currently rewarding that type of idea, and then optimizing the output against real data.

All five layers are non-optional. Skip any one of them and the content dies out.

We are already seeing this play out on brand-new accounts.

A partner who started using the Suite recently had 180 followers when a post we built with the system went live. The post got 6,800 impressions, 129 likes, and pulled engagement from accounts way larger than his own.

There is a lot more to say about this like how each layer operates, what we are learning as more founders come through it, what modules we are building next and how you can start to think about your own content in the same architectural way even if you never touch the tool itself.

Excited to share more.

Wiz

P.S. FTS just broke down how to win back churned customers. Omnisend's (our proud partner's) data puts the odds of recovering a lost customer at 20-40%, and once they're back, their lifetime value can double. Meanwhile the lapsed-purchase flow quietly pulls a 33% open rate and $0.49 in revenue per email sent. If you've been writing off your churn list as dead weight, read the full breakdown here.