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How Marketers Can Adapt to LLM-Powered Search.

Authors :
Puntoni, Stefano
Ensing, Mike
Bowers, Jarvis
Source :
Harvard Business Review Digital Articles; 5/24/2024, p1-6, 6p
Publication Year :
2024

Abstract

This article discusses how marketers can adapt to the rise of large language models (LLMs) in search engines like Google. LLMs provide a search experience that is different from traditional web browsing, as they promise to answer queries with direct answers instead of links. Marketers will need to monitor LLM output to ensure their brands are presented accurately and prominently. The article also mentions the emergence of LLM optimization as a new science for marketers to take advantage of. While LLMs may automate certain SEO activities, SEO professionals who can adapt to the evolving LLM landscape will be in high demand. The article concludes by acknowledging the potential impact of LLMs on job creation and the need for marketing professionals to continuously learn and adapt to new techniques. [Extracted from the article]

Details

Language :
English
Database :
Complementary Index
Journal :
Harvard Business Review Digital Articles
Publication Type :
Periodical
Accession number :
177505932