How should consumer brands manage AI-generated product reviews and comparisons?

Consumer brands face a particular AI reputation layer because the engines mediate product research at scale and the source ecosystem they pull from is broad and sentiment-heavy. The engines pull product comparison data from Wirecutter, CNET, The Verge, dedicated review sites, Reddit, YouTube, and the brand’s own owned content. They synthesize comparisons across competitors at the request of users prompting for recommendations. The reputation work runs across each input. AIQ™ setups for consumer brands typically include prompts at the category level (‘best [product category]’), the brand level, the comparison level against named competitors, and the specific-product level for hero SKUs. The data identifies which themes the engines are weighting and which sources are driving them, which is what makes targeted source-layer work possible.