Microsoft has updated its analytics tool, Clarity, to add branded and non-branded breakdowns to the AI Citations dashboard and AI reports. Clarity lets you filter branded versus non-branded information across query analysis and filtering.
What Microsoft said. “To make that analysis easier, Microsoft Clarity now adds branded query segmentation to the AI Citations dashboard,” Microsoft wrote. “You can now distinguish branded and non-branded grounding queries AI systems use to look up supporting information for a response,” Microsoft added.
What it looks like. Here is a screenshot from the Microsoft Clarity blog of these new updates:
What is new. Microsoft added branded vs. non-branded view across query analysis and filtering to the Clarity reports including:
- Branded labels in the queries card: Individual queries are now clearly marked as branded in the queries view, so you can quickly identify brand-specific queries and understand what the AI systems looked up at a glance.
- Share of Authority breakdown by query type: The Share of Authority card now breaks out results by branded and non-branded queries, giving you a clearer view of where your authority is strongest: queries that mention your brand versus more general queries.
- Branded and non-branded filters: Filter dashboard data by branded or non-branded queries to compare how your visibility performs when an AI system looks up your brand directly versus broader, more general topics.
- More precise citation analysis: By separating brand-led demand from generic discovery, you can better assess brand strength, identify discovery and consideration opportunities, and interpret changes in citation performance with greater confidence.
- Branded labels in the queries card: Individual queries are now clearly marked as branded in the queries view, so you can quickly identify brand-specific queries and understand what the AI systems looked up at a glance.
- Share of Authority breakdown by query type: The Share of Authority card now breaks out results by branded and non-branded queries, giving you a clearer view of where your authority is strongest: queries that mention your brand versus more general queries.
- Branded and non-branded filters: Filter dashboard data by branded or non-branded queries to compare how your visibility performs when an AI system looks up your brand directly versus broader, more general topics.
- More precise citation analysis: By separating brand-led demand from generic discovery, you can better assess brand strength, identify discovery and consideration opportunities, and interpret changes in citation performance with greater confidence.
Why we care. Being able to break down and filter your analytics reports by branded and non-branded queries can help you zone in to the data that matters to you. Having more clarity on how people find your content through AI search and chat experiences are important and useful. This update gives you a little more information to work with when it comes to understanding your AI visibility.
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