Optimizing AI Queries in Microsoft Clarity

Enhancing Analytics with Microsoft Clarity's Branded vs. Non-Branded Breakdown

Microsoft has brought a significant update to its analytics tool, Clarity, in 2026. The new features include the addition of branded and non-branded breakdowns to the AI Citations dashboard and AI reports. This advancement allows users to filter and distinguish between branded and non-branded information when analyzing queries, providing a more comprehensive understanding of user interactions.

What Microsoft Introduces

Microsoft's Statement: According to Microsoft, the latest update in Clarity now incorporates branded query segmentation into the AI Citations dashboard. This enhancement enables users to differentiate between branded and non-branded grounding queries used by AI systems to retrieve supporting information for responses. The goal is to streamline the analysis process for users.

New Features: Microsoft's latest update to Clarity introduces a range of new features to enhance query analysis and filtering. These include:

• Branded Labels in the Queries Card: Individual queries are now clearly labeled as branded in the queries view, simplifying the identification of brand-specific queries and the information retrieved by AI systems.
• Share of Authority Breakdown by Query Type: The Share of Authority card now categorizes results by branded and non-branded queries, offering a clearer insight into the strength of your authority concerning brand-specific versus general queries.
• Branded and Non-Branded Filters: Users can now filter dashboard data based on branded or non-branded queries, facilitating a comparison of visibility performance when AI systems look up brand-specific versus general topics.
• More Precise Citation Analysis: Separating brand-led demand from generic discovery allows for a more accurate assessment of brand strength, identification of opportunities for discovery and consideration, and better interpretation of changes in citation performance.

Significance of the Update

Why It Matters: The ability to segregate and filter analytics reports based on branded and non-branded queries is crucial for focusing on relevant data. Understanding how users discover content through AI-driven search and chat experiences is essential for optimizing digital strategies. This update equips users with additional insights to better comprehend their AI visibility and refine their marketing tactics accordingly.

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