For many years marketers have had to be part technologists. That's even more true today. In the age of AI, we have to build brands and assets to be understood and manipulated by machines.

Unfortunately, most brands live in places AI can't reach: PDFs, phone calls, team members' heads, scattered across dozens of tools. When you need AI to help with marketing tasks, it's working blind—no context about your brand voice, visual identity, or business history.

The solution?

We call it "atomizing." Atomizing means breaking down every element of your brand—messaging, visuals, tone, customer data—into atomic units of structured, machine-readable components that AI tools can actually use. Consider growing trends around agents and MCP.

AI is no longer just ChatGPT. It's a base layer of technologies that are quickly making their way into virtually every tool you use. As such, it's less about choosing the right one—think ChatGPT vs. Claude—and more about restructuring data such that any AI tool can interact with it.

Here's what atomizing looks like in practice.

A customer requests a LinkedIn post. Instead of starting from scratch:

• AI reads the request (transcribed if it's a call)

• References our history of work (CRM, project management, billing)

• Pulls brand guidelines automatically

• Accesses visual assets and voice styles

• Creates the post using all this context

This only works if each component—customer data, brand voice, visual identity, project history—exists as structured, accessible data that different AI tools or agents can share and build upon.

Most businesses' data represents isolated islands: CRM here, brand guidelines there, project files somewhere else. AI tools can't connect the dots because there are no bridges between these islands due to the "hidden physics of software."

We're building a bridge. Our app turns scattered brand components into a connected system. Every AI process gets the full context it needs—your brand voice, visual identity, customer history, analytics, research, and project requirements, even individual podcast episodes or styles, like whether your brand writes in first-person singular or plural perspectives.

We're actively building a more robust version of our app, as well as forming partnerships with other agencies and software vendors, to form the go-to-market platform for the age of AI.

Want to talk about atomizing your brand? We'd love to talk about ways to break down the big business into bits and bytes. If that's interesting to you, let's talk. 

As always, we're grateful to serve.