Agentic UI Scanner
How ready is this page for tests and AI agents?
One crawl of your site. Two scores: Automation Readiness Score for unique durable locators, and Agent Readiness Score for roles, names, and landmarks. A snapshot of the crawl, not a forecast of test outcomes.
What the Agentic UI Scanner checks
Locators
Does each control already have a unique durable locator, or only a hashed class?
Names
Can a control be identified uniquely, or do several controls answer to the same name?
Labels
Can an agent tell what belongs in a form field?
Landmarks
Can an agent orient itself on the page and scope its search?
Embedded content
Are there cross origin frames an agent may not be able to enter?
Browser agents and UI tests commonly work from the rendered page, the DOM, and the accessibility tree, not from pixels alone.
Who this is for
QA and SDETs
Find ambiguous names and weak locators before they turn into brittle selectors and strict mode violations.
Front end engineers
Catch missing labels and semantic gaps while you are still in the component.
Accessibility leads
Use the findings as triage evidence alongside a WCAG program, not as a replacement for one.
Common questions
What do I get from one scan?
One report. Two scores sit at the top. Locators and AI agents are tabs on that same report, not two products.
Can an AI agent use this page?
This scan cannot tell you that. It measures whether the controls on the pages it crawled are described clearly enough that an agent could identify and operate them. Login walls, cookie banners, hover menus, dynamic state, and business rules all affect whether a real task completes, and none of those are part of this scan.
What does the scanner actually check?
Locator contracts, roles, accessible names, landmarks, form labels, and cross origin frames on the pages it crawls. The Locators tab is for tests. The AI agents tab is for agent readability.
How do I improve a low score?
Start with unlabeled form inputs and unnamed controls. Use native semantic elements where you can, connect visible labels to fields, and give equivalent controls unique accessible names within their landmark.
Is this a WCAG accessibility audit?
No. The signals overlap, because the same semantics that help assistive technology help agents. It does not replace a conformance evaluation, manual testing, or an accessibility program.
Will this improve my visibility in AI search?
No. This score is not a ranking factor and it is not a citation guarantee. Clearer semantics make a site easier to use, for people and for agents, and that is the whole claim.
Does the score predict whether my tests will pass?
No. It is a static snapshot of the controls found during one crawl.
Keep learning
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See locator and agent readiness on your site
One crawl of your site. Two scores: Automation Readiness Score for unique durable locators, and Agent Readiness Score for roles, names, and landmarks. A snapshot of the crawl, not a forecast of test outcomes.