OCR 및 프롬프트 엔지니어링 기반 SEO 최적화 방안 연구: e커머스 상품 상세페이지 적용 사례

Purpose This study addresses the difficulties faced by small business owners and solo entrepreneurs in implementing effective SEO strategies due to limited technical knowledge and resources. It proposes a practical method using OCR and prompt engineering to enhance search visibility in image-heavy e-commerce product pages. Design/methodology/approach The proposed method extracts text from product images using Optical Character Recognition (OCR) and restructures it into SEO-friendly HTML through ChatGPT-based prompt engineering. The method was applied to a real e-commerce platform and compared with conventional image-only product pages in terms of search engine exposure and user traffic. Findings The results show that the framework significantly improves online visibility and user inflow. This approach provides a low-cost, accessible SEO solution for small sellers, contributing to their competitiveness in the expanding digital marketplace.