Concept

What is Agent Experience (AX)?

Can an agent book an appointment on your website?

Agent Experience (AX) is MING's term for how well an AI agent can find, understand and use a digital service on someone's behalf.

Last updated: 7 October 2026 | Next review: November 2026 MING working definition Machine-readable record

Illustrative example: booking a tyre change

Does the customer end up with a booked appointment?

  1. The customer needs a tyre change

    Her request: “Find an available appointment on Wednesday.”

  2. The agent finds a suitable appointment

    It checks the service, price and availability: Wednesday at 2 pm.

  3. Before booking, the agent asks: “Does Wednesday at 2 pm suit you?”

    The customer agrees; the agent books

    Only after her confirmation does it send the booking to the garage.

  4. The garage confirms the booking

    The service, date and time must match the request.

No suitable time or no approval? The agent asks the customer and does not book yet.

The sequence, time and approval are chosen for this example. The booking system’s confirmation establishes the booking. A garage recommendation or completed form alone does not.

The customer needs an appointment for a tyre change

“Find an appointment for a tyre change on Wednesday.” A customer sends her agent off with this request. The scene is invented, but it makes a practical design question clear: can the agent merely recommend a garage on your website, or does the customer end up with a booked appointment?

The agent needs to establish whether the garage offers the service, when it is available and what it costs. In this example, it should suggest an appointment first and book only after the customer agrees. We use Agent Experience to examine that whole journey from the agent’s perspective. This is our working definition, not an industry standard or universal score.[S1]

The agent suggests Wednesday at 2 pm and asks for approval

In this example, the agent finds an available appointment on Wednesday at 2 pm. It presents the service, price and conditions and asks: “Does that suit you?” Only after the customer agrees does it submit the booking. If information is missing or the appointment has been taken, it must ask a question or suggest another time. This approval step is chosen for our example.[S1]

The website has work to do too. A field labelled “Choose an appointment” and a clear response help the agent take the right step. Google describes website agents using HTML, screenshots and the browser’s map of controls. Clear labels and appropriate controls remain useful foundations.[S3]

The garage’s confirmation establishes that the appointment is booked

After submission, the customer needs confirmation from the booking system: tyre change, Wednesday, 2 pm. It must match her request. A completed form or an agent saying “Done” is not enough evidence. If confirmation does not arrive, the agent must not claim a successful booking.

This is how we would set up the first test. The table lists proposed checks, not measured results.[S1]

What happens?What should the test establish?
The agent looks for a tyre change.It finds the right service and reads its price and conditions correctly.
It suggests Wednesday at 2 pm.The appointment is available; the agent asks the customer before booking.
The customer agrees.The booking system receives the approved service and appointment.
The appointment is taken or confirmation is missing.The agent reports the problem and asks what to do, rather than claiming success.

Include a taken appointment, missing approval and a missing confirmation in the test. Chrome’s WebMCP evaluation guidance likewise examines individual function calls and the complete journey to the result.[S5]

A recommendation alone does not show whether booking works

For the request to reach your garage, the agent has to find it first. SEO still matters. Google says its usual SEO foundations also apply to its generative search features. It does not use llms.txt to improve Search visibility or rankings; other systems may use such files.[S2]

Test both questions: does the garage appear for the relevant request, and can the customer’s agent complete the booking on your website? A mention in an answer addresses only the first question. A usable form does not explain how the customer finds you.

Bring a customer task like this to our Agent Experience work . Together, we can trace where the agent proceeds and where it needs help. For agents inside your own team, Hybrid Organisation addresses the complementary question: who supervises them and owns their work?

Sources

[S1]
MING Labs Agent Experience working definition and proposed checks MING Labs · 2026-10-05 Supports: Working definition and illustrative booking checks; no measured performance result
[S2]
Optimizing your website for generative AI features on Google Search Google Search Central · 2026-07-10 Supports: Normal SEO foundations for Google generative search; llms.txt is not used for Search rankings
[S3]
Build agent-friendly websites web.dev · Kasper Kulikowski and Omkar More · 2026-04-01 Supports: HTML, accessibility tree and screenshots; semantic controls and labels
[S4]
WebMCP Chrome for Developers · Alexandra Klepper · 2026-10-01 Supports: Proposed standard; tools for compatible agents; Chrome origin trial from version 149
[S5]
Test WebMCP with Evals Chrome for Developers · Kasper Kulikowski · 2026-05-19 Supports: Tool selection, arguments, outputs, end-to-end journeys and failure paths

Frequently asked questions

How does AX relate to user experience?
The person remains the customer. AX examines the parts of that person's journey delegated to an agent, including readable information, usable controls, permission and a verifiable result. It is a perspective within product and service design, not a reason to remove the human path.
Does a website need WebMCP for good AX?
Not necessarily. Semantic controls may already support the task. WebMCP offers explicit tools for compatible agents, but remains a proposed standard in development; Chrome documents an origin trial from version 149. [S4] Choose it for a specific interaction problem and test the target environment. This interface choice alone does not establish better rankings.
Does being named by an assistant prove good AX?
It proves only that the brand appeared in that particular response. Check the answer's accuracy separately, then test any actual task through to its result. A few prompts cannot establish universal visibility or successful transactions.
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