Free 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 AI agent interaction checker tests 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.
What you'll get
Agent interaction score
ModerateScore 61/100
Check-by-check results
- Needs fixing
Real buttons and links, not fake clickable divs
Automation frameworks query the DOM/accessibility tree for real interactive elements — a <div onclick> with no role or tabindex is invisible to that query even though a human sees a clickable-looking element.
Fix: Replace 3 clickable <div> elements with real <button> tags, or add role="button" and tabindex="0".
- Pass
Interactive targets are large enough for a vision model to click
A vision-model agent identifies a click point from a screenshot, not a mouse-precise hover — tiny targets that pass human accessibility guidelines can still be missed or mis-clicked.
What the Free Agent Interaction Readiness Checker checks
- Interactive elements (buttons, links, form fields) are real, focusable HTML elements rather than div/span click handlers an agent's accessibility tree can't see
- Click/tap target sizes meet a minimum footprint an automated pointer can reliably hit
- No hidden overlays or cookie banners block the primary content or action from an agent
- Action targets (button/link identifiers) stay stable across renders rather than using generated IDs that change every load
- Menus and content are not revealed only on mouse hover — an AI agent has no pointer, so a hover-only dropdown is unreachable to it
- Infinite-scrolling lists have a paginated equivalent, so an agent can tell a complete list from a partially loaded one
- Forms expose usable labels and input types an agent can map to the right field
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.
Related reading
Go deeper
This free check looks at one signal in isolation. KinetixSEO's paid report combines every signal below into one prioritised fix list and tracks it over time.
See the full paid report for this →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.