AuthorityTech
The First AI-Native Machine Relations Agency — Get Featured in the Publications AI Engines Cite
AI & Machine Learning·Marketing
About
AuthorityTech is the world's first Machine Relations Agency — built to place brands inside the publications that AI engines like ChatGPT, Perplexity, and Google use as source material.
The New First Reader Is a Machine
Traditional PR was built for human readers. AuthorityTech is built for the new first reader: the machine. We help companies earn credible third-party media coverage and structure that authority so AI engines like ChatGPT, Perplexity, Gemini, and Google AI Overviews can understand, retrieve, and cite the brand when buyers ask category-level questions.
1,500+ Publications. Zero Guesswork.
That starts with being in the right publications. Over 8 years, AuthorityTech has built a network of contacts and editorial partners across 1,500+ publications — including Forbes, Inc., Business Insider, and hundreds of the most-cited niche outlets on the web — placing brands directly inside the source material AI engines pull from when generating answers. Not just ranked. Cited, trusted, and embedded in the record.
Performance-Based. No Retainers. No Vague Activity.
Our model is different from traditional PR. Clients do not pay retainers for vague activity. They pay when placements publish. Committing to this performance-based model forced us to build what most agencies never had to build: direct editorial relationships, faster placement infrastructure, and a system designed entirely around actual outcomes.
The Discipline Behind the System
AuthorityTech operationalizes Machine Relations — the discipline coined by founder Jaxon Parrott to describe how brands become legible, credible, and citable in AI-driven discovery. The system combines earned media, entity clarity, citation architecture, AI answer visibility, and share-of-citation measurement to ensure a brand doesn't just appear in AI answers — it becomes the answer.
Trusted by the Fastest-Moving Brands on the Web
Firecrawl, Brevo, Boxabl, MeetKai, Lightfield, and dozens of unicorns and high-growth startups trust AuthorityTech to dominate AI search through results-driven PR at scale.
The Question Every Brand Should Be Asking
For founders, marketers, and category creators, the problem is no longer just "How do we get press?" The better question is: "When someone asks AI who matters in our category, does the machine know enough to not just cite us, but recommend us?"
AuthorityTech exists to make the answer yes.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
I'm literally looking at like okay if they have enough data and the cost per trial for example is low enough then we can do it based on that that's the ideal if it's not or if they're a very new app and they don't have big budgets then I'll look on clickthrough rates.
Use Cost-Per-Trial as the Proper Messaging Signal — CTR Only as a Budget-Constrained Proxy
CTR measures curiosity; cost-per-trial measures intent. When budget allows, Daphne optimizes messaging tests for cost-per-trial because a message that attracts clicks but not subscribers is a false signal. For early-stage apps with small budgets, CTR is the practical proxy — but results should be corroborated across at least two channels before treating them as directionally reliable.
if you track all of the feature clicks on your app you can identify your app's most compelling value proposition and then communicate that in any way that you can — any way that you can see what your customers are actually doing is a massive advantage
Track every feature click to find your true value proposition then market that
By obsessing over in-app analytics in PostHog, the team identified which screens were failing during onboarding and which features drove the most engagement. This let them redesign around actual behavior and then mirror that value prop in their marketing — a loop that pushed conversion above 50%.
There's a play for whatever you're stuck on.
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Comments
1I started AuthorityTech 8 years ago to replace PR retainers with results-based outcomes. Then I coined Machine Relations after seeing how earned media shapes AI search.