Academic Journal of Business & Management, 2026, 8(9); doi: 10.25236/AJBM.2026.080914.
Yan Kaining1, Deng Yinru2, Pan Haofeng1, Huang Peiying3, Kong Jie1, Liu Jian4
1School of Logistics Management and Engineering, Zhuhai College of Science and Technology, Zhuhai, 519600, Guangdong, China
2School of Finance and Trade, Zhuhai College of Science and Technology, Zhuhai, 519600, Guangdong, China
3School of Business, Zhuhai College of Science and Technology, Zhuhai, 519600, Guangdong, China
4School of Electronic and Information Engineering, Zhuhai College of Science and Technology, Zhuhai, 519600, Guangdong, China
Social media search is becoming an important route through which consumers obtain product information. On Xiaohongshu, notes, images, videos and comments create an experience-oriented information environment that connects user needs, content discovery and consumption decisions. Using literature research, secondary-material analysis, public-case analysis, comparison and inductive reasoning, this paper distinguishes Xiaohongshu content SEO from conventional website SEO and applies information-search theory and the AISAS model. It proposes a DKCF loop of demand identification, keyword selection, content optimisation and feedback evaluation. The study argues that effective content SEO depends on consistency among user intent, keywords, the answer provided by content and the later conversion path, rather than mechanical keyword repetition. Because platform ranking parameters and merchant back-end data are not publicly available, the framework is a strategic proposition requiring further empirical testing.
Xiaohongshu; social media searchification; content SEO; search intent; keyword strategy; content marketing
Yan Kaining, Deng Yinru, Pan Haofeng, Huang Peiying, Kong Jie, Liu Jian. A Study of Xiaohongshu Content SEO Optimisation Strategies under the Searchification of Social Media. Academic Journal of Business & Management (2026), Vol. 8, Issue 9: 119-126. https://doi.org/10.25236/AJBM.2026.080914.
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