Campbell's coursework includes an AI course at UT Austin's McCombs School of Business and a six-month Harvard Business School course in AI leadership and innovation. He brings deep expertise in AI API integration, web performance optimization, and production system engineering. His technical background spans full-stack development, CRM automation, and building tools that run reliably without manual intervention.
Together with Walker Deyo, Campbell identified the gap nobody was filling: every business runs on a pile of tools that don't talk to each other, and nobody builds the wiring. Elevair was built to run that pile of tools as one machine. The first company it ran was Elevair itself.
Infrastructure, Not Chatbots
“Most people think of AI as chatbots and content generators. What we build at Elevair is infrastructure: systems wired into each other that run without a person pushing every step, the kind that sits behind the scenes and compounds.
When a call comes in at 9pm, the front office answers it, qualifies it, books it, and logs it. The follow-up goes out without anyone remembering to send it. The dashboard tells the truth in the morning. None of that is a demo. It's how Elevair itself runs, every day. We were our own first deployment, and we still are.
The part I care about most is the wiring. Anyone can sell you a website or a phone system. Making every tool talk to every other tool is the hard part nobody else does, and it's why the brain is possible at all: it can know everything happening in the business because everything is connected. That's the system I love building, one where every piece reinforces every other piece.”
— Campbell Hendee, Co-Founder of Elevair
GEO Technical Infrastructure
Writing answer pages that match AI sub-query patterns, building schema markup frameworks, and engineering content that AI retrieval systems can verify and cite.
AI System Integration
Building production AI systems using Claude, GPT, and custom models — from phone receptionist bots that handle live calls to automated pipelines that monitor AI search visibility.
Automation & Pipeline Engineering
Designing end-to-end automation systems — review request workflows, lead capture pipelines, CRM integrations, and monitoring dashboards that run without manual intervention.
Web Performance & Crawlability
Ensuring every page loads fast, renders server-side for AI crawlers, carries proper structured data, and meets the technical requirements that AI retrieval systems expect.
Get in touch with Campbell
Questions about how GEO works under the hood? Campbell can walk you through the technical details.