Assessing the Impact of Artificial Intelligence on Visual Marketing Management
Bibliographic Data
| ID | 22196758 |
|---|---|
| Authors | Mahaveerakannan R Mahaveerakannan R, Mahaveerakannan R (Saveetha University), Sarala P Adhau (Yashwantrao Chavan Maharashtra Open University), P Ramya (0000-0001-9932-8732, Artificial Intelligence in Medicine (Canada)), P Ramya P Ramya, N V Ratnakishor Gade (Saveetha University), M Saravanan (0009-0008-8152-0839, KPR Institute of Engineering and Technology), M Saravanan M Saravanan, Jebakumar Immanuel D (Karpagam Academy of Higher Education) |
| Year | 2025 |
| Volume | 6 |
| Issue | 4s |
| Pages | 582-592 |
| Publication date | 2025-12-25 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ShodhKosh: Journal of Visual and Performing Arts (JOURNAL) |
| Journal identifiers | ISSN: 2582-7472 • E-ISSN: 2582-7472 |
| Publisher | Granthaalayah Publications and Printers (PUBLISHER • IN) |
| DOI | 10.29121/shodhkosh.v6.i4s.2025.6973 |
| OpenAlex | W7117675614 |
| Language | EN |
| References cited | 12 |
The growing role of the visual content in the internet has made visual marketing as a highly significant strategic position in the contemporary marketing management. At the same time, the evolution of Artificial Intelligence (AI) has enabled organizations to analyze, customize, and streamline the marketing efforts in visuals on a platform and scale never before attempted or achieved. The paper discusses the AI application in visual marketing management by examining the ways that the AI capabilities have transformed strategic planning, content creation, personalization, monitoring, and optimization of visual campaigns. The research that is founded on the overall assessment of academic literature and formulated analytical theories frames AI as the empowering management attribute, but not the technology application. Consequently, based on the analysis, one can mention that the visual marketing processes are supported by the use of computer vision, predictive analytics, and generative AI in data-driven decision-making, the real-time performance measurement, and the continuous learning processes. The paper also provides the assessment of whether visual marketing can be affected by AI or not and induce the short-term performance indicators, such as engagement and conversion rates, and the long-term brand equity indicators, such as brand recall and consumer trust. In addition, the study describes the managerial and ethical issues regarding the AI adoption, including data privacy, algorithmic bias, transparency and human control. The current research contributes an analytical value to the management of AI-based visual marketing by combining strategic, operational, and governance strategies. The findings may be applicable to researchers and specialists who are interested in referring to AI as the basis of effective and responsible visual marketing in online services that are more competitive
Brand equity · Corporate governance · Digital marketing · Marketing and artificial intelligence · Marketing management · Marketing research · Marketing strategy · AI in Service Interactions · Digital Marketing and Social Media · Digital Media and Visual Art
| Highly cited | No |
|---|