What a New AI Model Release Changes for Your Brand's Visibility
When an AI engine ships a new model, answers about your category can shift. Here is what changes, what to do in the first week, and what not to do.
8 articles on measurement.
When an AI engine ships a new model, answers about your category can shift. Here is what changes, what to do in the first week, and what not to do.
A practical three-layer framework for connecting AI visibility to revenue: the answer layer, the visit layer and the revenue layer, set up with ordinary tools.
AI search attribution connects the influence of AI answers to business outcomes. Here is why it is hard, the methods that hold up, and what it cannot tell you.
A step-by-step method for tracking how five AI engines mention your brand: the prompt set, the schedule, what to record, and how to read the results.
A tracked prompt set is the measurement instrument for AI visibility. Choose it badly and every number after it is misleading. Here is how to build one that holds up.
Brand sentiment in AI answers is how an engine describes your brand when it names you. Here is how to score it, read it next to visibility, and fix negative framing.
AI visibility is how often and how favorably AI answers name your brand for the questions buyers ask. Here is how it is measured and the mistakes that distort it.
Zero-click search is when a question gets resolved without a click to any website. AI answers extend it, and clicks alone now undercount influence. Here is what to measure instead.
Other subjects