<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">PBES</journal-id><journal-title-group><journal-title>Proceedings of Business and Economic Studies</journal-title></journal-title-group><issn>2209-2641</issn><eissn>2209-265X</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/pbes.v9i4.14395</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>AIGC-Driven Precision Marketing and Its Impact on Consumers’ Purchase Intention for Agricultural Products</title><url>https://artdesignp.com/journal/PBES/9/4/10.26689/pbes.v9i4.14395</url><author>WangYuneng,CaoQiqi,ShiBo</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>9</volume><issue>4</issue><history><date date-type="pub"><published-time>2026-06-03</published-time></date></history><abstract>The rapid advancement of artificial intelligence (AI) technologies has significantly reshaped the landscape of rural and agricultural e-commerce. Agricultural products originating from rural areas frequently encounter challenges such as information asymmetry, limited access to professional marketing expertise, and low consumer engagement. This study investigates the integration of AI-generated content (AIGC) with precision marketing to enhance the appeal of agricultural products and foster consumer purchase intentions. Precision marketing leverages machine learning algorithms and big data analytics to identify target audiences with high accuracy, while AIGC dynamically generates customized textual, visual, and interactive content that effectively engages consumers. Empirical evidence suggests that AIGC-driven precision marketing markedly reduces cognitive load during the “confused intermediate stage” of decision-making, thereby increasing perceived usefulness and ease of use. Moreover, the study underscores the pivotal role of AIGC in mitigating resource constraints in rural e-commerce, providing a scalable and cost-effective approach to agricultural brand development. The findings offer both theoretical and practical insights, serving as a guideline for policymakers and rural enterprises seeking to harness AI to enhance digital marketing strategies.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Lin J, 2025, Application of Machine Learning in Predicting Consumer Behavior and Precision Marketing. PLoS One, 20(5): e0321854.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Qin Q, Guo H, Shi X, et al., 2023, Rural E-commerce and County-level Economic Development in China. China &amp; World Economy, 31(5): 26–60.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Gikas D, Tsezoridis P, 2022, Artificial Intelligence and Consumer Behavior, In Advances in AI Technologies Springer, 147–176.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Li W, 2022, Big Data Precision Marketing Path under IoT Cloud Platform Information Mining. Computational Intelligence and Neuroscience, 2022, 4828108.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Panday M, Mishra A, 2021, Digital Marketing Strategies. International Institute of Information Technology, Bhubaneswar, Dept. of Electronics &amp; Telecommunications.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Velieva S, Tsvetanova A, 2020, Feature Analysis of Advantages and Disadvantages of Digital Marketing. IOP Conference Series: Materials Science and Engineering, 940, 012065.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B7" content-type="article"><label>7</label><element-citation publication-type="journal"><p>Davis F, 1989, Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3): 319–340.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
