Intelligent Technology Empowering Content  Marketing: Construction Logic and Empirical  Study of AI-driven Private Traffic Matrix

Biao Wang

doi:10.26689/cas.v1i1.12370

Biao Wang 1“Silk Road” International University of Tourism and Cultural Heritage, Samarkand 140104, Republic of Uzbekistan 2 Zibo Housing Provident Fund Management Center, Zibo 255000, Shandong, China

DOI: https://doi.org/10.26689/cas.v1i1.12370

Keywords: Digital transformation; Artificial intelligence; Automatic content distribution; Private traffic, Knowledge payment industry; Career planning

Abstract

This paper focuses on intelligent technology, especially the automatic content distribution driven by artificial intelligence (AI), which empowers the construction and optimization of the private traffic matrix in the career-planning knowledge payment industry. In the digital era, private traffic management has become a core strategy for knowledge payment platforms to enhance user engagement and conversion rates. AI builds a comprehensive private traffic system through precise personalized recommendations, user profiling analysis, and automated content production, thereby improving operational efficiency and profitability of platforms. Through empirical data analysis, this study reveals the specific applications of AI in content marketing and explores future development trends as well as potential technological challenges.

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