Communications in Humanities Research ISSN: 2753-7072
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Research Article

Generative AI–Driven Intelligent Distribution Mechanisms in the Publishing Industry—From the Perspective of Cross-Platform Content Distribution

Yuebo ShiBeijing Institute of Graphic Communication*

* Corresponding author: [email protected]

Abstract

From a cross-platform distribution perspective, this paper explores how generative AI enables the intelligent transformation of publishing’s distribution stage. We first review industry digitalization needs and the evolution of generative technologies, arguing that deep learning, natural language processing, and large language models jointly support content creation, semantic adaptation, and distribution decision-making. We then propose a “generate–distribute–feedback–re-optimize” closed loop, detailing mechanisms and tactics for multi-platform restructuring, intelligent scheduling, multilingual localization, SEO/GEO alignment, and personalized recommendation, with practices such as BOOKSGPT as illustrative cases. Next, we assess risks arising from platform heterogeneity, cultural–semantic bias, over-reliance on algorithms, and constraints relating to copyright and privacy. Finally, we outline future directions that shift from human–AI collaboration to ecosystem-level operations and from technical refinement to governance and ethics. Centering on the distribution link, the paper contributes a technology–mechanism–KPI mapping and an actionable strategy framework that can help publishers achieve precise audience reach and global dissemination.

Keywords: Generative AI; Publishing distribution; Multilingual localization; Algorithmic scheduling
Published: November 19, 2025
DOI: 10.54254/2753-7064/2025.BJ29682
Volume: CHR Vol.96
pp. 96-104
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