My early work was in spacecraft engineering, satellite imaging systems and camera-related engineering research.
That environment shaped how I think: define the problem carefully, separate evidence from assumptions, and turn complex technical information into something people can act on. That background now informs my work in AI Search, GEO and B2B visibility diagnostics.
Why AI visibility needs structured analysis
Buyers are no longer only searching on Google. They increasingly use tools like ChatGPT, Gemini, Perplexity and Google AI surfaces to compare vendors, shortlist providers and understand categories.
For B2B brands, the question is no longer only “Do we rank?” It is also: “Are we included, described accurately and trusted inside AI-assisted buyer research?”
The operating principle
I do not treat AI visibility as a buzzword. I treat it as a buyer-discovery problem that needs careful research, clear evidence, practical recommendations and business context.