What is the role of AI-generated reviews in shaping brand perception?

AI-generated reviews have moved from a future risk to a present problem on most major review platforms. The dynamics are recognizable: networks of generated reviews, increasingly difficult to distinguish from human-written reviews, posted to influence platform sentiment for or against specific brands. The engines, in turn, retrieve from those platforms and synthesize the contaminated signal into their responses. The reputation response runs at multiple layers. Platform-policy enforcement against detected fakes through the platforms’ own review-integrity mechanisms. Where genuine reviews are being crowded out, encouragement of authentic customer reviews to dilute the inauthentic content. And AIQ™ tracking of how the engines are reading the resulting source mix, including whether the engines are starting to discount the contaminated platforms in their synthesis. The arms race here is ongoing, and programs that ignore it accept whatever signal the engines produce.