
The First Machine Relations Agency | Get Featured in the Publications AI Engines Trust11-50 Employees
- B2B
- Early StageStartup in initial stages
AuthorityTech careers
AuthorityTech is the first AI-native Machine Relations agency, founded by Jaxon Parrott in 2018. For nearly a decade, the company has operated on a model most PR firms would never accept: clients pay only when articles publish. No retainers. No monthly fees cleared regardless of results. That single constraint shaped everything AuthorityTech became.
When revenue depends entirely on placement, there is no room for media lists or cold outreach. There is only the slow, irreplaceable work of building direct relationships with journalists and editors who trust you enough to take the pitch. Over eight years, that pressure produced a network of 1,673+ Tier 1 publications — Forbes, TechCrunch, Wall Street Journal, Bloomberg, and dozens more — where AuthorityTech places clients in days, not months.
That infrastructure was built for a world where humans decided what got covered. Then the world changed.
AI systems — ChatGPT, Perplexity, Gemini, Google AI Overviews — became the first reader of earned media. The machine now decides which brands get surfaced, compared, cited, and recommended before a human ever reaches a company's site. The function of a media placement changed. It was no longer just something a person reads. It became a source node that AI engines retrieve, summarize, and cite in generated answers. The entire discovery layer shifted from human-mediated to machine-mediated.
The market responded with fragments. Some called the shift Generative Engine Optimization (GEO). Others called it Answer Engine Optimization (AEO), AI SEO, LLM Optimization, or AI PR. Each label described a real piece of what was happening. None described the system.
In 2024, Jaxon Parrott coined Machine Relations — the discipline of earning AI citations and recommendations for a brand by making it legible, retrievable, and credible inside AI-driven discovery.
When revenue depends entirely on placement, there is no room for media lists or cold outreach. There is only the slow, irreplaceable work of building direct relationships with journalists and editors who trust you enough to take the pitch. Over eight years, that pressure produced a network of 1,673+ Tier 1 publications — Forbes, TechCrunch, Wall Street Journal, Bloomberg, and dozens more — where AuthorityTech places clients in days, not months.
That infrastructure was built for a world where humans decided what got covered. Then the world changed.
AI systems — ChatGPT, Perplexity, Gemini, Google AI Overviews — became the first reader of earned media. The machine now decides which brands get surfaced, compared, cited, and recommended before a human ever reaches a company's site. The function of a media placement changed. It was no longer just something a person reads. It became a source node that AI engines retrieve, summarize, and cite in generated answers. The entire discovery layer shifted from human-mediated to machine-mediated.
The market responded with fragments. Some called the shift Generative Engine Optimization (GEO). Others called it Answer Engine Optimization (AEO), AI SEO, LLM Optimization, or AI PR. Each label described a real piece of what was happening. None described the system.
In 2024, Jaxon Parrott coined Machine Relations — the discipline of earning AI citations and recommendations for a brand by making it legible, retrievable, and credible inside AI-driven discovery.
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Jaxon Parrott
Founder of AuthorityTech and creator of Machine Relations, the parent category for GEO, AEO, AI SEO, and AI PR.
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