Research Lead, Noma
Writes about how AI visibility is measured: prompt sets, share of voice, and why the engines answer the same question differently.
7 articles
Five AI engines answer the same question differently. Here is why optimizing for one is fragile, the foundations that help all of them, and how to prioritize when they split.
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.
AI share of voice measures how much of the conversation your brand holds inside AI answers, relative to competitors. Here is the formula, what it misses, and how it differs from visibility.
Ask five AI engines the same question about your category and you get five different answers. Here is why the disagreement happens, and why averaging it away is a mistake.
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.
