About Miaren AI

I study how organizations become discoverable and trusted in AI-powered search systems like ChatGPT, Perplexity, and Google AI Overviews. My work focuses on AI visibility, generative search, and information architecture for AI systems.

Drawing on a background in UX research and market research, I analyze how AI assistants interpret and reference organizations across the internet. My doctoral research at Texas Tech University explored how emerging technology shapes user behavior — specifically, how smart glasses can reduce travel hesitation for people with disabilities. That lens of studying how people find and interpret information carries directly into how I approach AI search systems.

As a Senior Researcher at Rackspace Technology, I apply research methodologies to understand AI systems at scale. As Director of Strategic Partnerships & Marketing at Austin AI Hub, I work to connect underserved communities to AI opportunities. Through Miaren AI, I developed the three-signal diagnostic methodology for understanding how AI systems decide who to cite.

This is an emerging field. I don't claim decades of expertise in it — nobody can. What I bring is a research-driven approach to understanding a new information layer that is forming right now.