Microsoft Clarity has added a set of features for a web where the visitor is increasingly not a person. Search Engine Roundtable reported on November 4, 2026 that Clarity added agentic analytics, Ask Clarity, and a brand agent expansion. Microsoft also said that AI agents nearly doubled in three weeks to almost 2 million. The numbers describe the agent population on Microsoft's platform, and the features describe what analytics has to become when a large share of visits comes from software doing research on behalf of people.
Agentic analytics is the headline addition. It gives site owners a way to see and measure visits from AI agents separately from human visitors, which matters because agent traffic behaves nothing like human traffic. An agent researching products or services will load many pages quickly, follow links a person would not, and leave without the signals that normally indicate interest, such as scrolling or hovering. Mixed into human analytics, that traffic distorts bounce rates, session lengths, and conversion rates. Separated out, it becomes useful intelligence about what machines are reading on your site.
Ask Clarity lets site owners ask questions about their data in plain language instead of building reports, and the brand agent expansion extends Clarity's agent-based analysis of how a brand appears across the web. Together the three features point in one direction: analytics tools are being rebuilt around the assumption that AI systems are a first-class audience, not an edge case to filter out.
The scale Microsoft cites makes the point. AI agents nearly doubling in three weeks to almost 2 million is a growth rate that no human audience matches, and it explains why analytics vendors are moving fast. SEOs have already seen the symptoms elsewhere: Google Search Console showed strange click spikes in early November that SEO consultant Glenn Gabe traced to AI agents or bots researching products and services on the sites he examined. When agents research, they generate impressions and clicks that look like traffic but are not visits from buyers.
For site owners, the practical question is how to count this traffic. The honest answer is that there is no single right way yet. Some teams will filter agent traffic out of their human metrics entirely. Others will track it as its own segment, because what an agent reads today determines what a buyer is told tomorrow. What no team should do is leave it mixed into the main numbers and then make decisions on the blend. A conversion rate that falls because agents arrived is not a conversion problem, and a traffic spike caused by research bots is not growth.
Start by turning on agentic analytics and looking at the share of your traffic that comes from agents, page by page. If a few pages attract most of the agent visits, those pages are the ones AI systems consider worth reading, and they are the pages to keep accurate, current, and easy to quote. A product page an agent reads is a product page that may be recommended in an answer, so its facts, prices, and availability need to be right.
Use Ask Clarity to interrogate the data the way you would interrogate a colleague: which pages lose agents, where do they go next, and what do they read before they leave. And keep the human metrics clean. The sites that will report honestly through the AI transition are the ones that can show a human number and an agent number separately, and explain what each one means.
The wider point is that analytics is catching up with a web that is no longer only human. Session recordings and heatmaps were built for people who scroll, hesitate, and click. Agents do none of those things, and the tools that measure them need different concepts: what was read, what was quoted, and what was carried into an answer. Clarity's new features are an early version of that toolkit, and the sites that learn to use them now will have a clearer picture of their audience than the sites still reading agent visits as human behaviour.
Sources: Search Engine Roundtable, November 4, 2026.
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