Do AI agents need a separate version of my website?

No. The Chrome team says that what makes a website good for people also makes it good for AI agents — semantic HTML, a clear hierarchy, good accessibility. Google Search also ignores files such as llms.txt. Invest in the existing site rather than a parallel version.

Are AI agents the same as AI crawlers?

No. A crawler collects pages for an index or for training. An AI agent works through a specific task for a person and interacts like a user: it clicks, scrolls and fills in forms. Tory Gray stresses that being agent-ready is not the same as being visible in AI.

Which content do AI agents most often miss on a website?

Content behind hover effects, elements under transparent overlays and controls built as a div instead of a button. Google explicitly names such patterns as problems in its guide to agent-friendly websites.

What are AI agents? Explained – GEO Glossary

AI agents are AI systems that complete tasks independently on a person’s behalf. Google describes them as “autonomous systems that can perform tasks on behalf of people, such as booking a reservation or comparing product specifications” (Google Search Central, AI optimisation guide, July 2026). Unlike a chatbot, an agent does not just write an answer: it opens websites, reads them and operates them.

Which AI agents use websites today?

The major providers have released their own agents. The overview below only includes details from the vendors’ own sources:

Agent	Provider	How it uses websites
ChatGPT agent	OpenAI, since July 2025	Its own virtual computer with a visual and a text-based browser; asks for permission before consequential actions
Claude in Chrome	Anthropic, pilot since August 2025	Browser extension that sees pages, clicks buttons and fills in forms; on all paid plans since December 2025
Google Agent	Google, documented since April 2026	Crawler used by AI agents running on Google’s infrastructure

In addition, there are agents that run directly on a website and agents for the command line. Andre Bandarra (Chrome team, Google) names these three forms and stresses that the agentic web is not a separate web but an evolution of the existing one (Chrome for Developers, July 2026).

How do AI agents work on a website?

An agent does not see your page on a monitor but as a machine-readable representation. According to Google, there are three ways (web.dev, Kasper Kulikowski, April 2026):

Screenshot: a vision model identifies elements on the rendered page. This is slow and uses many tokens, so it serves as a fallback.
HTML/DOM: the agent reads nesting, attributes and text. This is how it knows that a “Buy” button belongs to a particular product.
Accessibility tree: the browser-generated summary of the roles, names and states of interactive elements.

Modern agents combine all three. The longer the task, the more context builds up — and, according to the Chrome team, the greater the risk that the model misreads a signal and takes a wrong turn (Chrome for Developers, July 2026). With WebMCP, a website can shorten this detour and offer actions directly as tools.

How do AI agents differ from AI crawlers?

LLM crawlers collect pages for training or a search index. They do not interact like users. Agents do exactly that and therefore need different conditions, Tory Gray explained in a Sitebulb webinar (June 2026). She also warns against confusing the two: an agent-ready website is not automatically visible in AI answers.

Why do AI agents matter for AI visibility?

Agents move part of the purchase decision into the machine. At SEO Week 2026, Crystal Carter described a new “validation layer”: the stage where agents assess whether a brand meets a user’s preferences and requirements before surfacing it as a recommendation (iPullRank, June 2026). A site that offers missing details or an unusable interface at this stage drops out — even if it was found earlier in the web search.

In retail this is already concrete: agents compare prices, check availability and return conditions, and sometimes buy themselves (agentic commerce).

What does this mean for your website?

A website that works well for people also works for agents — that is the Chrome team’s core message. In practice:

Content in the HTML: important text, prices and specifications are in the delivered HTML, not loaded later by JavaScript.
Semantic controls: <button> and <a> instead of repurposed <div> elements; form fields linked with <label for>.
Stable layout: no transparent overlays, no hover-only content, important buttons in the same position on every product page.
Fast response: for agentic recommendations, Kevin Indig recommends a technically fast, easily accessible website (Growth Memo, July 2026) — TTFB is a good place to start.
Open facts: what an agent needs for validation — scope of services, prices or price ranges, lead times, certifications — is on the page, not behind a form.

For its browser agent in ChatGPT Atlas, OpenAI explicitly recommends WAI-ARIA best practices, meaning descriptive roles, labels and states on buttons, menus and forms (OpenAI, help article for publishers, as of September 2026).

AI agents