Authors :
Dr. Shruti Goel; Devesh Verma
Volume/Issue :
Volume 11 - 2026, Issue 4 - April
Google Scholar :
https://tinyurl.com/4v8cvtya
DOI :
https://doi.org/10.38124/ijisrt/26apr1183
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
This paper will look at how Ai-generated content and virtual influencers affect the perception, trust, and brand
credibility of consumers with the digital marketing landscape in India. The study integrates both quantitative and qualitative
data to gather the perspectives of 60 active social media users on the subject by means of structured questionnaires and the
qualitative data acquired by means of open- ended responses. The paper discusses the perceived authenticity, transparency,
emotional attachment and persuasiveness of AI generated influencer content by consumers. The results indicate that AIbased influencers are becoming more prominent and acceptable especially among younger, digitally active consumers. But
the level of trust is still moderate with the respondents continuing to doubt the authenticity, emotional depth and credibility
in comparison with human influencers. Although AI influencers are valued because of being creative, consistent, scalable
and enhancing brand image, they are frequently viewed as less relatable and trustworthy on an emotional level. One of the
main conclusions is that the open demonstration of AI influence has a positive impact on consumer trust and brand image.
When brands transparently act on the use of AI- generated influencers offer cost-effective and scalable branding
opportunities, consumer trust still depends on human- like authenticity and ethical transparency. Thus, in India, brands
need to take a middle ground between AI performance and emotional realism, to maintain credibility and consumer
connection.
Keywords :
Artificial Intelligence, Virtual Influencers, Influencer Marketing, Consumer Trust, Brand Credibility, Authenticity.
References :
- Baek, T. H., Kim, J., & Kim, J. H. (2024). Effect of disclosing AI-generated content on prosocial advertising evaluation. International Journal of Advertising.
- Boudri, R., Boudri, I., & Bentalha, B. (2025). Consumer perception of AI-generated content in influencer campaigns. In AI impacts on branded entertainment and advertising.
- Brito, C. D. C. (2024). From hype to reality: The impact of AI-generated content disclosure in advertising (Master’s thesis). Universidade NOVA de Lisboa.
- Eman, N. (2025). Customer perception of AI-generated content and its impact on brand trust: An empirical study in the Egyptian market using structural equation modeling. International Journal of Artificial Intelligence and Emerging Technology, 8(1), 1–16.
- Han, S. (2024). Consumer perceptions of AI-generated content and disclaimer in terms of authenticity, deception, and content attribute.
- Labajová, L. (2023). The state of AI: Exploring the perceptions, credibility, and trustworthiness of the users towards AI-generated content.
- Majerova, J., Nadanyiova, M., and Patik, L. (2025). One step forward, two steps back: AI-generated content vs. perceived trust, authenticity and credibility. Intellectual Economics, 19(2), 150–170.
- Nizar, M. A. R., Hasan, Z. I., & Rafiah, K. K. (2026). The effects of AI-generated content on consumer perceptions: A structured review and conceptual model. RIGGS: Journal of Artificial Intelligence and Digital Business, 5(1), 2800–2807.
- Veltman, M. B. (2025). Trust in the machine: Exploring customer perceptions of AI-generated brand content on social platforms.
- Zhou, T., & Lu, H. (2025). The effect of trust on user adoption of AI-generated content. The Electronic Library, 43(1), 61–76.
This paper will look at how Ai-generated content and virtual influencers affect the perception, trust, and brand
credibility of consumers with the digital marketing landscape in India. The study integrates both quantitative and qualitative
data to gather the perspectives of 60 active social media users on the subject by means of structured questionnaires and the
qualitative data acquired by means of open- ended responses. The paper discusses the perceived authenticity, transparency,
emotional attachment and persuasiveness of AI generated influencer content by consumers. The results indicate that AIbased influencers are becoming more prominent and acceptable especially among younger, digitally active consumers. But
the level of trust is still moderate with the respondents continuing to doubt the authenticity, emotional depth and credibility
in comparison with human influencers. Although AI influencers are valued because of being creative, consistent, scalable
and enhancing brand image, they are frequently viewed as less relatable and trustworthy on an emotional level. One of the
main conclusions is that the open demonstration of AI influence has a positive impact on consumer trust and brand image.
When brands transparently act on the use of AI- generated influencers offer cost-effective and scalable branding
opportunities, consumer trust still depends on human- like authenticity and ethical transparency. Thus, in India, brands
need to take a middle ground between AI performance and emotional realism, to maintain credibility and consumer
connection.
Keywords :
Artificial Intelligence, Virtual Influencers, Influencer Marketing, Consumer Trust, Brand Credibility, Authenticity.