AI bias occurs when a model produces outputs that systematically favor or disadvantage certain groups, perspectives, or outcomes — often reflecting imbalances in the data it was trained on. Bias can manifest as skewed content recommendations, discriminatory language, over- or under-representation of certain viewpoints, or inaccurate outputs for specific demographics. In marketing AI applications, bias awareness is important for ensuring that AI-generated content, ad targeting, and audience modeling are fair, accurate, and inclusive.
Catching inaccurate or skewed descriptions of your business in AI answers is part of what our AI Visibility Plans monitor.
