Campbell Hendee
Co-Founder of Elevair · Austin, Texas
Campbell Hendee is the co-founder of Elevair, where he builds the technical infrastructure that powers every client engagement. From hidden page frameworks and schema markup systems to AI phone receptionist integrations and automated review pipelines, Campbell architects the systems that make local service businesses visible to AI.
Campbell holds a professional AI certificate from UT Austin's McCombs School of Business. 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 a market gap that no one was filling: the technical infrastructure needed to make a local electrician or roofer appear in AI search results simply didn't exist. The existing GEO tools were built for enterprise companies with large marketing teams. Elevair was built to solve the problem for the businesses that need it most — the ones with a $15,000 average job and zero AI visibility.
Building AI Infrastructure for Real Businesses
“Most people think of AI as chatbots and content generators. What we build at Elevair is different. It's infrastructure — the kind that sits behind the scenes and compounds over time.
When I build a hidden pages system for a client, I'm engineering content that maps directly to the sub-queries AI retrieval systems run. When someone asks ChatGPT ‘best electrician in Lakeway,’ the AI doesn't just search that phrase once — it fans out into a dozen related queries and synthesizes the most authoritative answers. Every page I build is designed to be that authoritative answer for a specific cluster of queries.
The AI phone receptionist is the piece that ties it all together. You can be the top AI recommendation in your market, but if someone calls at 9pm and hits voicemail, you've lost the job. Our receptionist picks up every call, qualifies the lead, captures the information, and books the appointment — all while the business owner is asleep. That's the kind of system I love building: one where every piece reinforces every other piece.”
— Campbell Hendee, Co-Founder of Elevair
GEO Technical Infrastructure
Architecting hidden page systems 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.