01 / origin

The problem was data.

When we started scoping how to make small businesses findable in the AI-answer era, we ran into an unfamiliar problem: nobody was tracking the thing that mattered. There were tools for keywords, tools for backlinks, tools for GBP, tools for schema. None of them measured what actually happens when a customer asks ChatGPT or Claude or Google AI "who's the best cleaner in my town."

The information existed. Nobody had strung it together in a way that pointed to a decision. So we built our own scanner. Then we built a way to correlate its output with Google Search Console data. Then we built a structural audit tool. Then we built a way to correlate all three.

What came out was a decision list — what to build next, what to fix, what to publish, in what order, and why. That decision list is what LinksMaxing sells. The correlation engine is how we produce it.

The information existed. Nobody had strung it together.
02 / approach

Small, independent, hands-on.

LinksMaxing is deliberately small. Every engagement is worked directly by a founder — no account manager layer, no offshore fulfillment, no cookie-cutter deliverables. The work is bespoke because the data is bespoke.

We take on a limited number of clients at a time. We say no to work that isn't a fit — and often refer you elsewhere when it isn't. We publish what we learn, both in individual case studies and in an upcoming quarterly index of how AI assistants recommend local businesses across major U.S. metros.

If any of that sounds like the way you want to work with a vendor, let's talk.

Bespoke work needs bespoke data.
03 / team

Who runs LinksMaxing.

Small team by design. One founder — deeply hands-on, technical enough to build the tools himself, on every client engagement.

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