Can AI Agents Actually Use the Web We’re Building?

AgentScore started with a simple realization: while we spend years optimizing websites for humans and search engines, AI agents experience the web in a completely different way. As agents begin to research, compare, and even purchase on behalf of users, there was no clear way to understand whether websites are actually usable for them.

What began as a question turned into a framework. We started breaking down how AI agents read structure, interpret information, navigate flows, and make decisions. Through conversations with SEOs, freelancers, and agencies, the idea evolved into a measurable score — something simple enough to understand, but grounded in real agent behavior.

AgentScore exists to close the gap between traditional optimization and the emerging AI-driven web. It’s not about replacing SEO or UX, but about adding a new perspective focused on how autonomous systems interact with websites.

We’re building AgentScore in the open, validating assumptions, and learning from early users. The goal is to help teams prepare for a future where AI agents don’t just recommend — they act.