Build your brand’s digital twin before AI does it for you

Build your brand's digital twin  before AI does it for you

I have some news, and you might not love it. AI is building your brand’s digital twin right now. There’s nothing you can do about it, unless, well, you actually decide to do something about it.

That’s what we’ll cover in this article: how AI is shaping the conversation in the digital space, and how you can influence the messaging that’s going out about your brand and products.

What is a digital twin?

Let’s start with a level set. What exactly is a digital twin?

A digital twin is a structured digital replica of something real that you can test, simulate, and scale without touching the original. That sounds a bit abstract, so let me break it down.

Put simply, a digital twin is something real that has been converted to code. Once you digitize it, you can copy it, share it, improve it endlessly, and do it all at almost zero cost.

Build your brand's digital twin  before AI does it for you

Let me share a few examples to make this click.

Think about music. You have instruments, you have a singer, you have sound and vibration in the physical world. You turn all of that into code, and suddenly you can stream it billions of times, remix it, license it, and keep it alive forever.

Think about a city. Cities everywhere are being digitized right now. Once you do that, you can test traffic patterns, route autonomous vehicles, manage stoplights in real time, and tweak the flow of an entire metropolis. 

Singapore has digitized its entire city with a digital twin. When something goes wrong in the real world, they can study the code, expand on it, and figure out how best to help millions of people in the simulation before intervening on the ground.

Or, think about human organs. You can digitize a heart or a brain, allowing surgeons to test where things could go sideways and adjust their plans before the patient ever enters the operating room.

The pattern is the same across all of these. Something real becomes structured code, and once it does, it can be tested, simulated, and scaled.

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Okay, but what does this have to do with your brand?

Your brand is already operating at scale. There are hundreds of people, thousands of content touch points, and dozens of AI tools generating work on your behalf at any given moment. A digital twin is how you test, control, and maintain consistency across all of it without having to touch every single output manually.

This is happening right now, with or without your input. There are two big reasons you should care:

1. AI is generating your brand voice whether you like it or not

When an AI tool writes content on your brand’s behalf or pretends to be your brand, it pulls from whatever context it can find. Anything digital is fair game. 

If you haven’t given it a structured, intentional brand identity, it will default to the average. Generic tone, generic positioning, generic differentiation (if you can even call it differentiation at that point).

If you’ve been on LinkedIn lately, you’ll have noticed that it’s flooded with AI slop. That’s the result of generic AI tools generating generic content. 

I saw a real post recently that started with “I’m thrilled to share the transformational insights from my daughter’s soccer game.” Every tenth post in my feed is similar. This is what happens when no one is training the large language model (LLM), no one is digitizing the brand voice intentionally, and the model just fills in the gaps with whatever average sludge it has lying around.

You might say, “Kate, don’t worry. We have AI policies. Our marketers are great. They’re trained on tone of voice. We don’t post things like that.” I believe you, and that’s wonderful, but you’re not the only people creating code and digitizing your brand on your company’s behalf. Other people, other tools, and other agents are doing it too. More on that later.

2. Your buyers are not really reading your content anymore

The other reason you should care is that AI is now creating content for other AIs to consume. Machine-to-machine communication is becoming the norm.

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