Agent Interaction Readiness Checker
One of the free tools from KinetixSEO, an SEO and AI-citation (GEO) checker. Browser-driving AI agents — Anthropic's computer-use models, OpenAI's Operator, and automation frameworks built on them — increasingly navigate sites directly instead of a human clicking through. This tool checks whether an agent can actually operate your page, not just read it: does it use real semantic buttons and links instead of fake clickable divs, are interactive targets large enough for a vision model to click reliably, are any functional elements hidden behind an invisible overlay, and do your key action buttons look stable enough for an agent to find twice. This is a genuinely different question from standard accessibility or SEO checks — see the FAQ below for why.
Frequently asked questions
What does it mean for an AI agent to "operate" a page, not just read it?
Reading a page means an AI model can extract text and summarize what a page says — most LLMs already do that well from raw HTML. Operating a page means an agent (Anthropic's computer-use models, OpenAI's Operator, browser-automation frameworks like Browser Use or Playwright-driven agents) actually drives the browser: it identifies a button or field, clicks or types into it, and moves on to the next step of a task like "add this to cart" or "fill out this contact form." That requires the agent to correctly locate real, interactive, appropriately-sized targets in the DOM or a screenshot — a much stricter bar than being readable.
Why does a clickable <div> with an onclick handler break browser-automation agents?
A visual, human user sees a div styled to look like a button and clicks it without a second thought. But most automation frameworks query the page for elements that are semantically interactive — real <button>/<a> tags, or elements carrying an accessible role like role="button" plus a keyboard-focusable tabindex — not for "anything with a click listener attached." A div/span with onclick and neither signal is functionally invisible to that query, even though it renders identically to a real button. The fix is either using a real <button>/<a href>, or adding both role="button" and tabindex="0" if a custom widget is unavoidable.
Why do tiny click targets matter more for AI agents than for human accessibility standards?
WCAG's target-size guidance (24×24px minimum, 44×44px enhanced) is calibrated for human finger/pointer accuracy. A vision-model agent instead has to identify a click point by interpreting a screenshot, without the fine motor precision a human has — so a target that comfortably passes WCAG can still be small enough that the agent clicks the wrong element next to it, or misses entirely. This tool applies a deliberately stricter floor as a separate signal, not a replacement for WCAG compliance.
How do invisible/transparent overlays trip up automation, and why would a site have them at all?
opacity:0 (or near-zero) is a legitimate pattern for fade-in animations or elements a script reveals later — but when it's applied to something that stays genuinely clickable (a button, link, or anything with an onclick handler or accessible role), it becomes invisible to both a human and a vision-model agent reading a screenshot, while still being technically operable. An agent scanning the visible page will never find it; worse, if it happens to sit on top of something else, the agent may click straight through it into the wrong element. The fix is to remove the interactive behaviour from decorative elements, or use display:none/proper conditional rendering instead of opacity hacks.
How is this different from a normal accessibility (WCAG) audit or SEO check?
They test different audiences. Accessibility audits (like this suite's own axe-core-based checker) ask whether a human using assistive technology — a screen reader, a keyboard-only navigation — can use the page. Standard on-page SEO checks ask whether search engines can crawl, index, and understand the content. This tool asks a third, newer question: can an AI agent that drives a browser (or a vision model reading screenshots) actually identify and operate the interactive surface of the page well enough to complete a task on it? A page can pass WCAG and rank perfectly in Google while still being unusable by an agent, if its buttons are fake divs, its targets are pixel-thin, or its key actions move around with no stable identifier.
This is one check from KinetixSEO's full SEO/GEO audit. Want the complete picture — Core Web Vitals, AI-citation readiness, technical SEO health, and tailored fixes? Run the free full checker.