Microsoft Clarity added branded-query segmentation to its AI Citations dashboard, giving site owners a way to split citations and grounding queries that name a brand from those that do not. The change makes it easier to tell whether AI visibility is coming from demand already in the market or from generic research prompts where assistants answer before a click. Microsoft has now shipped three citation-side updates in 25 days, a pace that looks less like a feature drip and more like an operational release cycle.
The new dashboard does more than tag a query as branded or non-branded. Microsoft’s Clarity blog says the update adds labels showing whether individual queries mention a brand, a share-of-authority view that compares branded versus non-branded queries, and filters that let users compare visibility by query type. That matters because a citation count alone can hide two very different outcomes: one brand may be picking up people who already know its name, while another is being surfaced in broader category questions that signal first-touch discovery.
Microsoft is pushing that distinction hard in its own framing. The Clarity blog says AI-driven experiences have quickly changed what it means to be “discoverable,” and that zero-click AI experiences can shape how questions are answered without generating a traditional click. Splitting branded and non-branded queries gives AEO and SEO teams a cleaner read on whether citations are being driven by familiarity or by generic intent, which is the difference between capturing existing demand and winning incremental visibility in the earliest research stage.
The release also fits a wider Clarity roadmap that now reads like an AI analytics stack rather than a one-off add-on. The blog feed shows related posts including “Understand Your Influence in AI Answers with Microsoft Clarity” with early access, “Analyze AI Citation Queries by Topic,” “Measure How AI Answers Use Your Content with Topic Insights in Microsoft Clarity,” and “Citations Now Generally Available.” Taken together, those posts show Microsoft turning Clarity into a place where teams can inspect AI citations, group them by topic, and now separate brand-led from generic discovery in the same workflow.
For marketers trying to justify spend, that split is the point. A rising citation count can look healthy on a slide deck while still masking weak performance in unbranded discovery. Clarity’s new segmentation gives operators a sharper read on where AI visibility is actually coming from, and Microsoft’s release cadence suggests the company is treating that measurement layer as a product line, not an experiment.
