Optimising Social Media with Gen AI - A Study on SEO Strategies for Influencers

作者：Enyang Zhang, Masoud Shakiba, Fangxu Lin, Farkhondeh Hassandoust, Soheil Varastehpour · 发表于：International Conference on Computing: Theory and Applications · 年份：2025 · DOI：10.1109/iccta65425.2025.11166618

Evaluating the effectiveness of generative artificial intelligence in optimising social media account strategies, the study compares content produced using generative artificial intelligence with manually created content across various platforms. Given that social media significantly influences consumer behaviour—particularly during economic downturns— a single generative artificial intelligence model is employed to examine its impact on search engine optimisation strategies and user engagement among social media influencers. The study further investigates how generative artificial intelligence enhances account visibility, boosts engagement, and improves overall performance by tailoring content to diverse audiences. Specifically, one expected outcome is to elucidate the differences between content produced using generative artificial intelligence and human-generated content in terms of key performance metrics such as engagement, reach, and cost efficiency. Ultimately, the findings underscore the potential of generative artificial intelligence as an indispensable tool for social media influencers in today's competitive digital landscape.