MIT Sloan 管理评论· Shahper Richter, Alla Lvovich, Wietske Van Osch, and Alex Richter. <p>Shahper Richter is a senior lecturer in marketing at the University of Auckland Business School in New Zealand. <a href="https://www.linkedin.com/in/alla-lvovich/" target="_blank" rel="noopener noreferrer">Alla Lvovich</a> is an organic product lead at Atlas Digital, a tech marketing agency in Australia and New Zealand. Wietske Van Osch is a full professor of information technologies at HEC Montreal and holds the Canada Research Chair in Enterprise Social Media and Digital Collaboration. <a href="https://www.linkedin.com/in/alexanderrichter/" target="_blank" rel="noopener noreferrer">Alexander Richter</a> is a professor of human-centric AI and director of the AI Initiative at the University of Auckland Business School.</p>
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MIT Sloan 管理评论基于对15位营销与数字负责人的访谈，提出生成式引擎优化（GEO）给企业带来两个挑战：可见性与准确性。文章以新西兰投资平台 Stakewise 为例，其团队发现 ChatGPT 每月带来约700次推荐访问，但系统化提问后发现AI回答存在基金数量、费率结构等错误，随后通过30条提示词审计、溯源到具体URL、修正源内容并在三个月内验证纠错生效。
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