I'm not an AI expert. I'm a communication one.

In 2001, I graduated with a BA in Advertising. We still rendered layouts by hand. Headlines were sketched in marker pen. Illustrations were physical. The studio smelled faintly of ink and spray mount, and the typography we cared about was the kind you could feel under your thumb.

We were also the first class to put our hands on an Apple Mac.

It didn't feel like anything at the time. Just another tool, slightly easier than the airbrush. Looking back now, it was a small frontier moment. Hand-rendered headlines on one side of the room. A glowing screen on the other. We didn't know it then, but the whole industry was sitting on the seam, and we'd been put there to see what came next.

That turned out to be a habit. For the last twenty-five years, I've kept finding myself at the same kind of seam. One interface shift after another between humans and machines. Watching the panic cycle land each time. Watching what stays the same underneath all the noise.

The list of acronyms I have outlived

Some of it was glamorous. Some of it was a print catalogue for fridge promotions. I wrote TV scripts for Nestlé and Unilever when broadcast advertising was still the centre of gravity. Then long-form retail catalogues with proper photography and proper line lengths. Then PR, doing what we'd now call thought leadership before anyone in our industry had the language for it.

Then email marketing landed and changed everything. Then social media landed and changed everything. I wrote some of the earliest social strategies for L'Oréal and adidas, in a period where nobody had any idea what a social strategy actually was. We were inventing the playbook while the platforms were inventing themselves. We made a lot of mistakes. We also figured out, eventually, that consumers were going to talk back publicly and we had to be ready for it.

Then mobile changed everything. Then SaaS. Then insurtech. Then fintech. Then crypto.

Every two or three years, another acronym. Another declaration that marketing had been killed. Another set of agencies rebranding to claim authority over the new thing before anyone else got there. The mood was familiar. The pitch deck templates were almost identical. Different industry, same shape.

I wrote content strategy for Qantas. I led content at TEDx. I built editorial systems for category-defining startups in countries on three different continents. And every time, underneath the surface-level upheaval, the same question kept appearing in the work.

The question that doesn't change

Can humans explain themselves clearly enough for the next system to understand them?

Not algorithms. Not hacks. Not growth loops. Just that. Whether you're describing a yoghurt to a print catalogue reader, or pitching a tech story to a journalist, or writing the first PDP someone reads on a brand new mobile checkout flow, the underlying challenge has always been the same. Can you say what you are, who you serve and why it matters, clearly enough that the next layer can do something useful with it?

The interfaces change. The vocabulary changes. The acronyms change. The question doesn't.

The thing nobody told me in 2001, when we were still drawing layouts with marker pens, is that the whole career would turn out to be about that one question, asked in twelve different rooms, over a quarter of a century.

And now, AI

So here we are. Another panic cycle. Another rebrand. The agency emails are doing their thing. SEO is dead. Welcome to GEO. AIO services. AEO certifications. The classic SEO-to-GEO expert pivot, and a joke that gets darker every time I see it on LinkedIn: copywriter turned AI visibility lead.

I have been watching this exact movie for twenty-five years. I know how it ends. The new acronym gets absorbed back into the work. The hacks fade. The agencies that survived are the ones who already knew the underlying job. The brands that win in the new layer are usually the ones who were already easy to explain in the old one.

AI visibility is not new. It's the same job. Make yourself clear enough that the next system can understand you, find you, and recommend you. That's all SEO ever really was. That's all advertising was. That's all PR was. We just have a new audience now. The audience is the model.

What's actually different this time is the audience itself. Large language models don't read the way humans do. They build probabilistic understanding from patterns, relationships, corroboration and repeated signals across the open web. If your business describes itself differently in every room it walks into, machines struggle to figure out what it is. If your expertise reads vague or generic, the system moves on to the clearer entity. If your services are fuzzy, your authority fragmented, your positioning thick with marketing language, you become difficult to confidently recommend. So you don't get recommended. Someone else does.

That isn't an algorithm problem. It's a clarity problem.

Why Everwilde One

I started Everwilde One because after twenty-five years of watching interface shifts, I realised clarity itself was becoming infrastructure. Not metaphorically. Operationally. The brands that explain themselves cleanly, consistently and specifically will be the brands that machines describe correctly. The ones that don't, won't. That's it. That's the game.

And almost everything I have spent twenty-five years learning sits inside that game. Advertising. Copywriting. PR. Editorial systems. Social. SEO. Content strategy. Brand positioning. Entity work. Different industries, different technologies, same underlying problem. Helping humans communicate clearly through whatever the next machine layer turns out to be.

I'm not an AI expert. I'm a communication one. I have been standing at the seam between humans and machines for twenty-five years, watching businesses try to explain themselves to one new system after another. AI search is the latest one. It won't be the last.

The thing I find genuinely interesting about this moment is the inversion. The more advanced the machines become, the more valuable clear human communication becomes too. The work that wins in AI search is not technical. It's editorial. It's the same craft we've always done. Just done more carefully, with a sharper eye for what the next layer needs.

That's what I'm building Everwilde One for.

Not chasing algorithms. Not gaming systems. Just helping businesses get clear enough about themselves that the machines, the customers, and frankly the founders, all finally agree on what they are.

It turns out that's a more interesting problem than I knew when I picked up a marker pen in 2001.