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2024 | OriginalPaper | Buchkapitel

Large Language Models for Search Engine Optimization in E-commerce

verfasst von : Grzegorz Chodak, Klaudia Błażyczek

Erschienen in: Advanced Computing

Verlag: Springer Nature Switzerland

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Abstract

The paper discusses how Large Language Models (LLMs) can be used in search engine optimization activities dedicated to e-commerce. In the first part the most important Search Engine Optimization (SEO) issues are discussed, such as technical SEO aspects, keyword selection, and content optimization. Then the study presents an in-depth look at OpenAI’s advancements, including ChatGPT and DALL-E. The latter sections describe the capabilities of Large Language Models into the realm of SEO, particularly in e-commerce. Firstly, a set of prompts for LLMs that can be used to create content and HTML code for online shops is proposed. Then advantages, and drawbacks of incorporating LLMs in SEO for e-commerce are presented. The research concludes by synthesizing the potential of merging AI with SEO practices, offering insights for future applications.

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It calculates the proportion of clicks relative to the overall number of impressions [3].

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Titel: Large Language Models for Search Engine Optimization in E-commerce
verfasst von: Grzegorz Chodak
Klaudia Błażyczek
Verlag: Springer Nature Switzerland
Buch: Advanced Computing
Print ISBN: 978-3-031-56699-8

Electronic ISBN: 978-3-031-56700-1

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-3-031-56700-1_27

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