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.
Start Here · Foundational Essay
Jaxon Parrott coined Machine Relations — the discipline of making brands citable by AI systems when buying intent appears. The origin story, the operating framework, and why the window to own it is closing.
A 37,000-run audit found that 48-52% of specialist brands never surface in AI recommendations. Here is what founders should actually do about it — and why most GEO advice misses the point.
AI engines follow a retrieval pipeline to decide which sources to cite. These are the 5 specific signals — source trust, entity clarity, extractability, corroboration, and freshness — that determine citation selection in 2026, with the research to prove it.
Machine Relations was coined by Jaxon Parrott in 2024 as the discipline of earning AI citations and recommendations for brands. Here is the origin story, the definition, and what it means for founders in 2026.
LLM referral traffic converts at 9x the rate of Google organic. Here is how founders identify, track, attribute, and grow the highest-converting discovery channel in 2026.
94% of B2B buyers use AI during purchasing. Forrester says genAI is now the top source for vendor research. The comparison pages AI engines read are writing your shortlist before you know the buyer exists.