Agent-Readiness Optimization

Pass Google's new PageSpeed Insights 'Agentic Browsing' score and make your site usable by AI agents.

In May 2026 Google shipped an experimental 'Agentic Browsing' category in Lighthouse 13.3, and it now appears in PageSpeed Insights. It grades whether an AI agent can read your page, trust its layout, and complete a task — checking your accessibility tree, layout stability (CLS), llms.txt file, and WebMCP tool annotations. We audit every part of that score, then implement the fixes: a valid llms.txt, clean Schema.org markup, a well-named accessibility tree, and locked-down layout stability — so both AI agents and the clients running PageSpeed on your site see a passing grade.

What's included

Frequently asked questions

What is the Agentic Browsing score in PageSpeed Insights?

It's an experimental Lighthouse 13.3 category (May 2026) that scores how ready a page is for an AI agent to read and act on it. Instead of a 0–100 score it shows a pass/fail ratio across checks like the accessibility tree, Cumulative Layout Shift, and the presence of an llms.txt file. It does not affect your normal Google rankings — but it is a visible signal that AI agents are now a first-class audience for your site.

Do I need this if my SEO score is already 100?

Yes — they measure different things. A perfect SEO or Performance score does not mean you pass Agentic Browsing. Most sites score partial because they have no llms.txt, an unlabeled accessibility tree, or layout shift. We close exactly those gaps.

What is llms.txt?

A plain-text file at your domain root that summarizes your site for AI systems and links to your key pages — the single most common reason sites score short of a perfect Agentic Browsing ratio. We author and validate one for you.