Cyber Model vs. Lifelike Image: The Impact of Model Authenticity on Consumer Cognitive and Behavioral Intention in AI-generated Ads

Gu Chenyan, Chang Xinsiyu, Lai Jiaying, Jia Shuyue, Zhou Lei

Journal of Marketing Science ›› 2026, Vol. 6 ›› Issue (1) : 134-152.

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Journal of Marketing Science ›› 2026, Vol. 6 ›› Issue (1) : 134-152.
Research Papers

Cyber Model vs. Lifelike Image: The Impact of Model Authenticity on Consumer Cognitive and Behavioral Intention in AI-generated Ads

  • Gu Chenyan, Chang Xinsiyu, Lai Jiaying, Jia Shuyue, Zhou Lei
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Abstract

With the continuous iteration and innovation of generative AI, the realism of AI-generated model ads is increasingly approaching that of ads featuring real people. AI can even transcend reality, creating models with hyper-realistic physical characteristics. Exploring consumer responses to these types of ads is becoming an important issue. Based on existing literature on AI-generated ads, this study focuses on the effects and mechanisms of models with different degrees of authenticity in AI-generated ads. Through five experiments, this study reveals that the higher authenticity of models in AI-generated ads, the more positive the consumer responses. The mediating effect further indicates that the higher authenticity, the lower eeriness, which in turn leads to more positive advertising attitudes and purchase intentions. The above effect is moderated by AI disclosure, brand type and brand popularity. Specifically, when the brand discloses the AI generation, or when the brand has high popularity, the advantage of lifelike image is significantly reduced; for innovative brand, the advantage is notably enhanced. This study enriches the theoretical research on AI-generated ads and offers valuable management insights for brands to conduct advertising.

Key words

AI-generated model ads / authenticity / eeriness / advertising attitude / purchase intention

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Gu Chenyan, Chang Xinsiyu, Lai Jiaying, Jia Shuyue, Zhou Lei. Cyber Model vs. Lifelike Image: The Impact of Model Authenticity on Consumer Cognitive and Behavioral Intention in AI-generated Ads[J]. Journal of Marketing Science. 2026, 6(1): 134-152

Funding

国家自然科学基金青年项目(72102085)、国家自然科学基金面上项目(72271066)、教育部人文社会科学研究青年项目(20YJC630027)、广州市哲学社会科学规划2023年度课题(2023GZQN37)、广州市科技计划基础与应用基础研究专题项目(2025A04J5384)
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