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A booking form brings several parts of your website together: navigation, service information, available dates, validation messages and confirmation.
Agentic browsing adds another way to test that journey. Can an AI assistant identify the controls, understand the requirements and complete the intended task on someone’s behalf?
Reviewing one important journey helps you spot unclear labels, unstable layouts and missing feedback. These findings give you specific improvements to make across your portfolio, service pages or registration process.
What is agentic browsing?
Agentic browsing involves an AI agent using a website to carry out a task on someone’s behalf. That might mean comparing services, finding an available appointment or navigating a registration process.
Google explains that browser agents may use screenshots, the page’s underlying structure and its accessibility tree to understand what is on screen and how to interact with it.
A website can therefore contain useful information while still making the next action unnecessarily difficult.
On your booking page, check whether the calendar control has an accessible name and whether available appointments appear predictably. Clear labels and consistent interactions help software identify the next step.
The problem is not the consultant’s expertise. It is the interface.
What Lighthouse’s Agentic Browsing category checks
Google’s Lighthouse documentation describes an experimental Agentic Browsing category covering machine interaction. Testing requires Chrome 150 or later, while WebMCP audits require registration for the WebMCP origin trial.
Its checks include:
- WebMCP integration: whether a website exposes supported tools and whether their definitions meet technical requirements.
- Agent-centric accessibility: whether interactive elements have meaningful names, valid roles and an understandable accessibility structure.
- Layout stability: whether elements move unexpectedly while an agent is trying to interact.
- Discoverability: checks involving an optional llms.txt file.
Unlike familiar Lighthouse categories, this category does not provide a weighted score out of 100. It uses pass ratios, individual audit results and informational signals.
Start with one valuable journey
Begin with one journey that supports a business goal and review the steps you can test today:
- A prospective client finding your services and requesting a quote.
- A learner comparing courses and beginning registration.
- A newsletter reader finding the correct subscription form.
Write down the intended outcome, then walk through each interaction.
For a quote request, check whether the service descriptions are clear, the contact button has a meaningful label, the form fields explain what information is required, and submission produces an understandable confirmation.
This creates a useful test even before you have access to the experimental Lighthouse category.
Improve the Controls Your Visitors Use
Begin with improvements that also help human visitors:
Use meaningful labels. “Request a design quote” communicates more than an unexplained icon.
Make forms understandable. Give fields proper labels and make validation errors specific.
Keep important controls stable. A button that moves when an image loads creates uncertainty during an interaction. Lighthouse explicitly considers layout shifts relevant to agentic browsing.
Make the outcome visible. After a form submission, provide a clear confirmation rather than leaving the visitor—or agent—to guess what happened.
Our guide to entity-based SEO covers the business information and technical accessibility checks that support a clear, understandable website.
Alongside this page-level review, use Semrush’s Site Audit to identify broader technical issues such as broken links, crawlability problems and HTTP errors. Scheduled recrawls can help you check whether problems return after website changes.
Record technical audit findings alongside the results of your task walkthrough. Verify successful booking or registration through a completed test and its confirmation.
Understand the Optional llms.txt Check
Lighthouse’s documentation says the file is optional: if it is absent and returns a 404, the audit is marked Not Applicable. Server errors when retrieving it are treated differently.
Separately, Google Search says it does not use these special AI text files for inclusion in its search experiences.
Assess the file against the requirements of the service you intend to support. Our article on GEO myths and Google AI Search explains Google’s guidance on special AI files and other proposed shortcuts.
Measure interaction and visibility separately
After improving a journey, repeat the same task and record what changed. Did the form become easier to understand? Did the moving button stop shifting? Could the intended action be completed?
Then examine discovery separately.
In Semrush’s Visibility Overview, you can inspect reported brand mentions, cited pages and AI responses within the platforms and database available in that report.
Record visibility observations separately from task-completion results. Include the platform, report settings and observation date so you can interpret each finding later.
You can try Semrush One free for seven days to review technical findings alongside supported AI visibility data.
Keep Your Most Important Journey Working
Choose a journey, record its intended outcome and test each interaction. Correct unclear labels, moving controls and incomplete confirmation messages, then repeat the same task.
Keep a record of the fixes and include the journey in your checks after major website changes. This gives you a repeatable way to maintain usability as your website and agent technologies develop.
Your next improvement can be small and specific: a clearer button, a properly labelled field or a confirmation that explains what happens next. Verify that it works, document the result and move to the next issue.
