Comforting SEO Marketing with AI: Enhancing Marketer Experience Through Automated Content Refinement and Ethical Search Practices

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Authors: Sangyeon Kim, Donghyuk Choi, Dahye Ko, Sangwon Lee, Inyoung Park
Cited by: 0
References: 9

Abstract

Search Engine Optimization (SEO) is essential in recent digital marketing but increasingly complex for marketers. Many marketers utilize images containing text for product promotion, yet these embedded text in images are often not recognized in traditional SEO tools, requiring marketers to manually extract and input it into the system. To address these issues, we designed and implemented a functional prototype of an AI-driven system that automatically extracts and converts images into SEO-optimized HTML code. This system additionally provides AI-supported content refinement to enhance readability and coherence and includes automated compliance checks to identify misleading or unethical advertisements. For the user-centered design, we conducted semi-structured interviews with six SEO experts to understand their needs and design requirements. In conclusion, this study demonstrates an AI-powered marketing tool that streamlines SEO processes improves digital marketing efficiency and supports ethical advertising practices.

Fields of Study & Subjects

Digital Marketing and Social Media Information Retrieval and Search Behavior Artificial Intelligence Applications

Publication details

Journal / source
International Conference on Ubiquitous Information Management and Communication (IMCOM)
Pages
1–4
Publication date
1 January 2026