Artificial intelligence is rapidly changing how consumers discover, research and evaluate products, creating a hybrid search ecosystem where traditional engines like Google remain dominant while GenAI tools increasingly shape mid-funnel decision-making. Shoppers turn to AI for clarity, comparison and confidence, yet still validate information before purchase, altering the structure of the journey and the expectations placed on brands. As AI-driven search and shopping become more influential, the implications for marketers and retailers are profound, demanding new approaches to trust, data accuracy, discoverability and optimization for agent-driven environments. This Knowledge at Hand and CMO Brief reports show how AI is reorganizing the consumer path to purchase and what this means for the future of brand visibility and retail marketing.
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Large language models mirror human cognitive biases—but can those biases be guided? New ARF and MSI research reveals that while loss aversion remains deeply ingrained in AI responses, introducing persona information, such as demographics or personality traits, can increase variability and make outputs more nuanced. For advertisers and researchers, this opens the door to design strategic prompts that spark richer and more nuanced, human-like responses.
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A new Journal of Advertising Research study investigates how music tempo—a ubiquitous but understudied element in video advertising—interacts with regulatory focus to shape consumer purchase intentions. Analyzing 26,025 real-world video ads and running three controlled experiments, the researchers find that fast-tempo music significantly boosts purchase intention for promotion-focused ads, while tempo has no meaningful effect in prevention-focused ads. The mechanism is driven by time pressure and consumers’ reliance on heuristic vs. systematic processing. These findings offer actionable insights for advertisers optimizing creative strategy in short-form video environments.
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