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Chrome Lighthouse adds an Agentic Browsing audit category

Written by Paid Media Collective
IN BRIEF

Google has added an experimental Agentic Browsing category to Chrome's Lighthouse audit tool. Instead of auditing only for human users, the new category tests whether AI agents can read a site, navigate key pages, understand actions and forms, and reliably interact with elements.

Original newsletter image: Chrome Lighthouse adds an Agentic Browsing audit category
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What changed

Setup requires Chrome 146 or later, enabling a WebMCP testing flag, and selecting the Agentic Browsing category in DevTools. The audit currently checks LLMs.txt implementation, WebMCP compatibility, accessibility labelling and roles, and layout stability.

THE COLLECTIVE PERSPECTIVE

Why it matters for advertisers

For you, this means SEO and development teams can now test how AI agents experience their site, not just human visitors. Worth running the audit on priority templates to identify where machine-readability gaps could block AI agents from navigating or transacting.

Perspective from the original PMC newsletter.

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  1. Newsletter coverage · Paid Media Collective newsletter

    Original newsletter text, contributor labels and media for this update.

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Original newsletter text and archive evidence

Chrome Lighthouse adds an Agentic Browsing audit category

Google has added an experimental Agentic Browsing category to Chrome's Lighthouse audit tool. Instead of auditing only for human users, the new category tests whether AI agents can read a site, navigate key pages, understand actions and forms, and reliably interact with elements. Setup requires Chrome 146 or later, enabling a WebMCP testing flag, and selecting the Agentic Browsing category in DevTools. The audit currently checks LLMs.txt implementation, WebMCP compatibility, accessibility labelling and roles, and layout stability.

For you, this means SEO and development teams can now test how AI agents experience their site, not just human visitors. Worth running the audit on priority templates to identify where machine-readability gaps could block AI agents from navigating or transacting.

Source captured . No explicit first-contributor label was provided for this update.

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