The Role of AI-Powered Content and Targeting Strategies in Enhancing Brand Positioning on Social Media

  • Unique Paper ID: 196898
  • Volume: 12
  • Issue: 11
  • PageNo: 5408-5413
  • Abstract:
  • Rapid adoption of Artificial Intelligence (AI) in social media marketing has greatly impacted the manner in which brands have been communicating, interacting, and positioning themselves within the digital space. With the rising use of AI, marketing through social media has been revolutionized through personalization and data-driven techniques. The current study will evaluate the contribution of AI-based content and AI targeting techniques to brand positioning in social media marketing. The study is qualitative & will be based on the secondary data obtained from recent literature (2020-2025). According to the findings, the use of AI-based content such as auto posts and recommendation systems is important since it boosts customer engagement due to the personalized nature. Similarly, targeting through AI helps in effective segmentation of audiences, thus making the marketing more efficient. Combining both techniques creates a synergy where brands' positioning becomes better through improved perception and competitive edge. The study reveals that customer engagement & trust act as mediators in achieving better brand results. Challenges, on the other hand, involve data privacy and ethical issues. Generally, the current research offers an insight into the concept of brand positioning using AI-powered marketing strategies.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{196898,
        author = {Gayathri G and Dr. Binoy Mathew},
        title = {The Role of AI-Powered Content and Targeting Strategies in Enhancing Brand Positioning on Social Media},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {5408-5413},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196898},
        abstract = {Rapid adoption of Artificial Intelligence (AI) in social media marketing has greatly impacted the manner in which brands have been communicating, interacting, and positioning themselves within the digital space. With the rising use of AI, marketing through social media has been revolutionized through personalization and data-driven techniques.
The current study will evaluate the contribution of AI-based content and AI targeting techniques to brand positioning in social media marketing. The study is qualitative & will be based on the secondary data obtained from recent literature (2020-2025). According to the findings, the use of AI-based content such as auto posts and recommendation systems is important since it boosts customer engagement due to the personalized nature. Similarly, targeting through AI helps in effective segmentation of audiences, thus making the marketing more efficient. Combining both techniques creates a synergy where brands' positioning becomes better through improved perception and competitive edge.
The study reveals that customer engagement & trust act as mediators in achieving better brand results. Challenges, on the other hand, involve data privacy and ethical issues. Generally, the current research offers an insight into the concept of brand positioning using AI-powered marketing strategies.},
        keywords = {Artificial Intelligence (AI), Social Media Marketing, AI-Powered Content, Targeting Strategies, Brand Positioning, Personalization, Consumer Engagement, Digital Marketing},
        month = {April},
        }

Cite This Article

G, G., & Mathew, D. B. (2026). The Role of AI-Powered Content and Targeting Strategies in Enhancing Brand Positioning on Social Media. International Journal of Innovative Research in Technology (IJIRT), 12(11), 5408–5413.

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