An artificial consumer is a simulated respondent used to estimate how an audience might react to a product, advertisement, or message. It may be generated by an AI model or another simulation, rather than being a real person sharing firsthand opinions.
In marketing, artificial consumers can help teams explore ideas quickly, but their responses are hypotheses-not evidence of what actual customers think. Treating simulated feedback as representative can lead to poor decisions or misleading claims. Security and trust controls include documenting how simulations are made, checking their data and assumptions, and validating important findings with real people. Clearly distinguishing simulated responses from genuine customer feedback helps prevent confusion and misplaced confidence.