The story, not the resume.

I got into search when it was pure economics, not abstraction. At Lawyer.com, search wasn't an awareness channel—it was a revenue system inside a high-CPC legal environment, where visibility had immediate dollar value. That experience taught me that rankings only matter if they explain acquisition economics and demand capture. When the "keyword not provided" shift happened during my hospitality work at Acronym Media—leading search for international brands like Fairmont and Millennium Hotels—I saw firsthand how fragile legacy measurement could be. It pushed me toward data architecture and building instrumentation that survives platform volatility.

The scale years expanded that foundational logic. Consulting at SapientNitro / Publicis Sapient gave me exposure to enterprise systems across brands like JCPenney, Unilever, Ralph Lauren, and MCM Worldwide, where search had to integrate with content topography and broader digital experience. Later, leading SEO for the Americas at Skyscanner showed me how to turn search into a strategic growth lever at scale, using demand modeling to support a rapid regional growth chapter in metasearch. Between those and Quattr I led New York client relationships and integrated SEO/CRO delivery at Search Laboratory.

At Quattr, I helped define enterprise delivery for the AI era. As an early employee, I built customer success and scaled it from $200K to $1.5M ARR by shifting the focus from dashboards to execution infrastructure. We deployed programs around first-party search data, AI-guided workflows, and autonomous linking. It became clear that the strongest outcomes happen when operator teams stop waiting for the industry's language to update and start rebuilding the execution layer themselves. This was also when AEO and GEO began emerging as distinct categories requiring new solutions.

Today, my work centers on the protocols required for what comes next. Through Targeted Impressions Labs I am actively building Constitutional CMS and Signal Contract v1 to establish how agents emit state and how humans supervise autonomous publishing systems. I believe the next decade of enterprise software demands new protocols for agent supervision, moving beyond static interfaces into materialized-state architectures.

I'm always open to the right conversations. I am currently available for senior individual-contributor roles at AI/search platforms, advisory work, and selective enterprise engagements. If you're building systems that treat search like an operating system rather than a vanity metric stack, I'd love to connect.