AI-Based Search: Information-Search Marketing and Generative Engine Optimization

Whitler, Kimberly Pettiette, Michael

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DARDEN

This technical note explains the evolution of consumer search behavior and introduces a practical framework that can enable marketing leaders to manage brand visibility when customers increasingly receive answers from AI rather than lists of links from a traditional search platform. The note describes the meaning and emergence of terms like Generative Engine Optimization (GEO) and Generative Engine Marketing (GEM), introduces a framework for prioritizing investments and managing risk in Information Search Marketing (ISM), and provides a short reflective review for leaders who must navigate a landscape of both traditional and AI-based search platforms.

出版日
2026/05
領域
マーケティング
ボリューム
9ページ
コンテンツID
CCJB-UVA-M-1083
オリジナルID
M-1083
ケースの種類
Technical Note
言語
英語
カラー
製本の場合、モノクロ印刷での納品となります。