One operator, one method — and how I got here.

Since 2014 I’ve run my own digital consulting practice — a range of services, with SEO (getting clients found in search) as one of the main pillars.

Over the years, Google has steadily stopped rewarding the sites built hardest to rank. The reason matters, and most business owners miss it: a site engineered to rank isn’t necessarily attached to a business that’s good to deal with. And businesses were never Google’s real customer — the people doing the searching are. So Google has spent years working out how to point those searchers toward sources they can actually trust.

That’s the shift underneath AEO and GEO (getting cited in AI answers): when the response comes from an AI, being seen means being one of the trusted sources it cites. The whole thing now turns on citations — and that’s what reignited my enthusiasm and pulled me into this new field, hard.

How I work now

The practice today is one productised offer: the Citation Engine. I measure how often a business gets cited when buyers ask ChatGPT, Perplexity, Claude or Google’s AI for a recommendation, benchmark it against competitors, and then write the content and build the citation surfaces that close the gap. One operator, one method. Not an agency, not a retainer.

The work is low-touch and async-first by design: no mandatory discovery calls, no weekly status meetings. That’s a deliberate capacity cap. It keeps the quality high and it keeps me doing the work instead of talking about the work.

Why I show my results

I run the method on my own site first, in public. Case Study Zero starts from a measured baseline — cited in zero of seven category buyer queries — and tracks the real before-and-after. The essays show the methodology in the open, receipts included. If the method works, you’ll see it here before I ask you to pay for it.

The contact form is the front door for everything — press, peer questions, and audit inquiries.