Jonathan Aguirre
Founder & Head of Product LinkedIn ProfileJonathan leads product direction and positioning, focusing on how businesses can publish facts in a form AI systems can reliably read, verify, and cite.
We help WordPress sites become legible to AI systems by publishing machine-readable business facts that models can trust.
We turn AI visibility into a controllable systems problem instead of a vague marketing promise.
For years, websites were optimized mainly for search engines and human visitors. That is no longer enough. AI systems now summarize, recommend, and compare businesses directly, which means your website must also be understandable to machine agents.
AgentReadyScan is a WordPress-first platform built around that shift. The plugin publishes AI-readable artifacts such as llms.txt, agent-facts.html, and structured business data. The Pro layer adds licensing, verification, and sync through a backend service.
High-intent customers are increasingly asking AI systems direct questions instead of browsing ten blue links. If your business facts are scattered, inconsistent, or machine-unfriendly, the model fills gaps by guessing or by citing someone else.
Our goal is to make your site the source of truth that AI agents trust.
We focus on the files and signals AI agents actually consume: llms.txt, agent-facts.html, crawler permissions, and structured business facts. The free plugin handles local generation. Pro adds licensing, verification, and sync.
Protocol naming matters. AgentFacts is the protocol brand developed at agent-facts.com. The published file path on a site is agent-facts.html.
llms.txt so AI agents can find the highest-signal business facts quickly.agent-facts.html page as the public AgentFacts protocol endpoint for AI retrieval.Business logic meets engineering discipline.
Jonathan leads product direction and positioning, focusing on how businesses can publish facts in a form AI systems can reliably read, verify, and cite.
Justin leads engineering and implementation, with emphasis on structured data, plugin architecture, and the backend systems required for subscription licensing and sync.
"Ian keeps the work tied to the commercial reality. The product has to be technically defensible, but it also has to solve a real customer acquisition and trust problem for businesses."
Deterministic Data Over Hype. We care about the files and signals AI systems can actually consume, not vague promises about visibility.
Transparency and Control. Businesses should control their own source-of-truth layer instead of letting third-party directories define them.
No Gap Between Product and Implementation. The plugin writes the AI-readable artifacts directly, and Pro is focused on validation, sync, and stronger ongoing controls.
Ranking in Google does not automatically mean AI systems can read your site well. AI visibility depends on machine-readable facts, consistent structure, and accessible source-of-truth pages.
SEO helps search engines rank your pages. AI visibility is about giving machine agents enough structured, trustworthy information to answer directly from your site.
llms.txt is a machine-readable summary for AI agents. It highlights the business facts and source-of-truth pages that matter most.
AgentFacts is the protocol. On a website, that protocol is typically published as agent-facts.html, a plain-HTML source-of-truth page for AI agents so models do not have to infer or assemble facts from scattered pages and third-party directories.
It is both. The core product is a WordPress plugin. The Pro layer adds licensing, sync, and verification through a backend service.