CEO & Founder, AuthorityTech · Category creator of Machine Relations
I build systems that make companies visible to AI. Founded AuthorityTech at 22 on a credit card — the world's first AI-native Machine Relations agency. Coined Machine Relations — the discipline of convincing AI engines to cite and recommend your brand. Rebuilt the entire operating system from scratch after teaching myself to code.
This site is my personal writing home — FounderOS — not the AuthorityTech sales desk and not the Machine Relations category reference. I use it to publish first-person intelligence on how AI engines cite brands, which sources they trust, and what founders should actually build before they buy another dashboard.
I coined Machine Relations in 2024 after eight years running earned media for 20+ unicorn startups across Forbes, TechCrunch, the Wall Street Journal, and 1,673+ publications. The problem was no longer getting a journalist to cover you. It was getting a model to name you. AuthorityTech is the agency I built to practice that discipline. machinerelations.ai is the open reference for the category itself.
I am a contributing author at Entrepreneur Magazine and a technical founder: I rebuilt the AuthorityTech operating system from scratch. If you need a definition, a dataset, or a glossary term, use machinerelations.ai. If you need the agency, use authoritytech.io. If you need my voice, start here.
Start Here · Foundational Essay
Machine Relations is the marketing discipline of making brands citable by AI systems when buying intent appears. I coined the category and built the operational framework that most founders still have not seen.
AI visibility measurement should track presence, citation rate, source quality, prompt repeatability, and decision-grade confidence before a founder buys software.
Getting cited in Perplexity is not a formatting trick. Founders need crawl access, answer-ready source material, third-party authority, and a measurement loop that treats citation as a business surface.
Founder AI strategy in 2026 is not a tool stack. It is a source system that makes the company retrievable, credible, and citable across AI search.
Startup AI visibility is not a dashboard problem first. It is a source architecture problem. Founders need earned authority, entity clarity, extractable claims, and measurement before they buy another tool.
AI agents are already making purchase decisions, comparing brands, and recommending products without a human ever searching. McKinsey projects $3 to $5 trillion in AI-mediated commerce by 2030. Here is what founders need to understand about agentic marketing before their competitors figure it out.