Relying on a single AI visibility score can mislead marketing leaders, as different AI assistants perceive brands differently due to unique data sources and algorithms. Research shows major assistants often disagree on brand recommendations, particularly in sectors like healthcare, with less than 4% of sources shared across leading engines. This fragmentation results in brands being more visible on some platforms than others, potentially causing missed opportunities. Brands should take a platform-specific approach to AI visibility reporting, tracking individual assistants to identify where they excel or fall short. Implementing fixed buyer-oriented test questions to consistently monitor trends helps brands stay visible across all platforms, avoiding reliance on average results.