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Large Language Models for Search Engine Optimization in E-commerce

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Advanced Computing (IACC 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2053))

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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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Notes

  1. 1.

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

  2. 2.

    https://trends.google.pl/trends/.

  3. 3.

    https://ads.google.com/home/tools/keyword-planner/. To use the tool, Google Ads account is required.

  4. 4.

    Call to action - its purpose is to get the user to respond in a certain way.

  5. 5.

    2023/10/28.

  6. 6.

    Reinforcement Learning from Human Feedback.

  7. 7.

    As of 2023/10/28, the cost is $20 per month.

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Author information

Authors and Affiliations

  1. Department of Artificial Intelligence, Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370, Wrocław, Poland

    Grzegorz Chodak

  2. Faculty of Management, Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370, Wrocław, Poland

    Klaudia Błażyczek

Authors
  1. Grzegorz Chodak
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  2. Klaudia Błażyczek
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Corresponding author

Correspondence to Grzegorz Chodak .

Editor information

Editors and Affiliations

  1. SR University, Warangal, India

    Deepak Garg

  2. COPELABS, Lusófona University, Lisbon, Portugal

    Joel J. P. C. Rodrigues

  3. Bennett University, Greater Noida, India

    Suneet Kumar Gupta

  4. Swansea University, Wales, UK

    Xiaochun Cheng

  5. Lovely Professional University, Phagwara, India

    Pushpender Sarao

  6. SITCOE Engineering College, Ichalkaranji, India

    Govind Singh Patel

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Chodak, G., Błażyczek, K. (2024). Large Language Models for Search Engine Optimization in E-commerce. In: Garg, D., Rodrigues, J.J.P.C., Gupta, S.K., Cheng, X., Sarao, P., Patel, G.S. (eds) Advanced Computing. IACC 2023. Communications in Computer and Information Science, vol 2053. Springer, Cham. https://doi.org/10.1007/978-3-031-56700-1_27

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  • DOI: https://doi.org/10.1007/978-3-031-56700-1_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-56699-8

  • Online ISBN: 978-3-031-56700-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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