AI Endpoints - The New Way for Discovery on the Web

• #### The Problem
• AI systems are increasingly the primary means by which information and services are discovered on the web. Because AI systems do not ‘browse’ the web as humans do, traditional .com SEO advantages are less effective..

In environments where AI systems supplement or replace browsing, structured service identities become essential. AI agents do not “browse” the web like humans; instead, they resolve machine-readable identities to locate and invoke services.
Discovery in this context depends less on page ranking and more on:

• Conceptual clarity — unambiguous service definitions that machines can interpret.
• Canonical endpoints — stable, verifiable service identities.
• Verifiable sources of truth — authenticated, structured definitions that AI agents can reference reliably.

#### The Solution - Canonical Endpoints

Canonical Endpoints are independently operated, branded prime generic web 3 domains. Each such domain serves as a canonical identity that tells both humans and machines what type of capability lives behind it. These prime domain serve as a clear reference point that tells AI agents where to look — and then points them to verified, structured sources of information and action for specific services or sectors.