I build the bridge between small firms and the way people actually search now.

For most of my career I've worked in data — building the systems that take scattered, inconsistent information and turn it into something software can actually use and trust. That's the whole job: making sure a machine knows what it's looking at.

A while back I started noticing the same pattern everywhere I looked locally. People around Cedar Park had stopped Googling for a lawyer or a dentist the old way. They were asking ChatGPT or Perplexity, "who should I call?" — and getting back a short list of the same few names. The firms on that list weren't necessarily the best ones. They were the ones AI could read clearly.

The good local practices — the solo estate planning attorney with twenty years of careful work behind her — were simply invisible to these tools. Not because of anything they did wrong, but because nobody had ever made their information legible to a machine. That's a data problem. It's the exact problem I already know how to solve.

So I built Local Discovery AI to do one specific thing well: find out where a firm stands in AI search, explain it plainly, and close the gap. I'm not a marketing agency and I won't pretend to be. I read what the machines read, I tell you what they see, and I fix what's broken.