Agentic browsing: why your website must now be readable by AI as well as by people

A growing number of the visitors who arrive on a website are no longer humans clicking around: they are AI agents that browse, fill in forms and make decisions on behalf of a user. This phenomenon has a name: agentic browsing. And it is quietly changing what a “well-made” website means.

What is agentic browsing?

Assistants such as Claude (through “computer use”), ChatGPT Operator and Perplexity’s research agents can now open a browser, scan a page, identify a button, fill in a field and confirm an action, exactly as a human user would, but without looking like one. A visitor can now ask their AI assistant to “book an appointment with this provider” or to “compare the prices of these three agencies”, and it is the agent that will browse your website on their behalf.

In practice, this means your website now has two audiences to satisfy: humans, and the agents acting for them. A website optimised only for the human eye may well be invisible, or worse, incomprehensible to an agent, and therefore silently dropped from a decision-making process you will never know you were part of.

The direct link with accessibility is no accident

Here is something that seems counter-intuitive at first: a website that is accessible to people with disabilities is, almost automatically, a website that AI agents can read. Both rely on the same technical foundation: a clear semantic HTML structure, consistent ARIA roles and explicit labels on buttons and form fields.

This is not a coincidence. A screen reader and an AI agent fundamentally do the same thing: they do not “see” the page as a visual rendering, they read it through its accessibility tree (the tree of roles, labels and relationships that the browser builds from the DOM). If that tree is malformed, both audiences fail to interact properly with your page, for different reasons but with the same result: they give up.

A concrete example

On a recent project, an accessibility audit flagged that a carousel built with <li> tags carrying role="group" failed a basic ARIA test: that role is simply not allowed on a list item. A human never notices this kind of detail, because visually everything works. But an agent analysing the page structure to understand “what is this element, what is it for, can I interact with it?” may get stuck or misinterpret the component. The fix, replacing the list tags with simple generic containers carrying the right roles, solved the problem without changing anything visually. It is typical of the detail that is invisible to a human but decisive for an agent.

What breaks agentic browsing

• Buttons without an accessible label: an icon on its own, without an aria-label, means nothing to an agent that has to guess its function
• Poorly structured forms: fields without an associated <label>, or groups of fields without fieldset/legend, make automated form-filling unreliable
• Content generated only on interaction, without an accessible state: if a piece of information only exists in the DOM after a complex interaction (hover, drag and drop), an agent that does not reproduce that exact gesture will never find it
• Inconsistent or incorrect ARIA roles: as in the example above, a misused role can cause a whole component to be misread
• Critical actions that rely solely on non-standard JavaScript: a “Submit” button that does not trigger a genuine, interpretable click event but a proprietary gesture makes automation harder

A concrete scenario to understand what is at stake

Imagine a craftsman who sells made-to-measure kitchens. A prospect asks their AI assistant: “find me three kitchen fitters near Toulouse and book a quote appointment with the one with the best reviews.” The agent will browse several websites, compare the reviews displayed, then try to fill in the booking form on the website it has chosen.

On a well-structured website, the agent unambiguously identifies the form, its fields (name, phone number, preferred date) and the submit button, and confirms the appointment in a few seconds. On a website where the form relies on non-standard elements, without clear labels, or where submission depends on an unusual interaction (a custom slider with no ARIA role, for example), the agent fails silently, or worse, fills in a field incorrectly without anyone noticing until the prospect wonders why nobody ever called back. Either way, the craftsman loses a customer without ever knowing why: no line in the analytics will say “an AI agent gave up on your form”.

AEO: the natural extension of SEO

The term AEO (Agent Engine Optimisation) is starting to emerge, echoing classic SEO. The idea: just as you optimise a website so that Google can understand and rank it, you now need to optimise it so that an AI agent can understand it and act on it correctly. The two disciplines overlap widely, since a semantically well-structured website serves both goals at once, but AEO adds an extra requirement: the page must remain usable from start to finish by an actor that does not “see” the visual rendering, only the logical structure.

Unlike SEO, there is no standardised measurement tool for AEO yet, nor any public ranking equivalent to Google positions. But the technical foundations that prepare for it have long been known and documented: they are, almost word for word, the criteria of the WCAG standard (Web Content Accessibility Guidelines), originally designed for assistive technologies and now also the best guide available for preparing a website for agentic browsing.

This convergence is far from trivial for a business that has to prioritise its investments: instead of treating “accessibility” and “AI compatibility” as two separate projects, a single technical effort, WCAG compliance, meets both requirements at once. It is one of the rare cases where a regulatory obligation (digital accessibility is gradually becoming mandatory in several sectors) and an emerging commercial opportunity point in exactly the same direction.

A practical checklist to prepare your website

1. Use native semantic HTML before resorting to ARIA roles: a real <button> is better than a <div> with role="button"
2. Give every interactive element an accessible label: an aria-label, visible text, or a <label for=""> association for form fields
3. Check that your ARIA roles are consistent with an audit tool (Lighthouse, axe DevTools): a role that is not allowed on an element is a silent but real error
4. Avoid complex, non-standard interactions for essential actions (purchase, contact, booking): keep at least one accessible path using simple clicks and the keyboard
5. Test your website using the keyboard alone, without a mouse: if you cannot reach and activate every important element with Tab and Enter, neither a screen reader nor an AI agent will manage it reliably
6. Structure your forms properly: every field with its label, required fields clearly marked, and error messages linked to the right field

Why act now rather than later

These recommendations have existed for years under the name of digital accessibility, and on their own they were already a good reason to act: a legal obligation that is gradually spreading in several countries, a market of people with disabilities that is too often ignored, and brand image. Agentic browsing adds another reason, a commercial one this time: a website that an AI agent fails to understand loses business opportunities without any alert being raised. No visible error, no complaining visitor, just an action that silently fails elsewhere, in a conversation between a customer and their assistant.

Unlike a complete redesign, bringing a website up to accessibility and semantic-structure standards can be done step by step: you can start with the most strategic pages and journeys (contact, quote requests, bookings) without rebuilding everything at once. It is also, very concretely, the kind of work that a technical audit can identify quickly.