IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-658-45132-5_21.html
   My bibliography  Save this book chapter

Can ChatGPT Replace Human Content Writers in SEO Copywriting? An Empirical Comparison for Performance Measurement of Generative AI in Search Engine Optimization in E-Commerce

In: Generative Künstliche Intelligenz in Marketing und Sales

Author

Listed:
  • Atilla Wohllebe

    (Fachhochschule Wedel gGmbH)

  • Christina Lagodka

    (Fachhochschule Wedel gGmbH)

Abstract

Generative artificial intelligence (AI) can be used in a variety of ways in marketing and sales. The automated creation of texts, as enabled by ChatGPT, offers great potential in search engine optimization (SEO). However, there are critical discussions going on whether SEO texts created with AI pose a risk to a website’s ranking by search engines like Google. Therefore, this chapter investigates how pages perform in terms of ranking when they contain ChatGPT-generated texts. Over a period of eight weeks, the ranking of 60 pages with 60 texts – 30 written by ChatGPT and 30 by human authors – is recorded on Google. The results show that both ChatGPT-generated and human-written texts have a significantly positive impact on a ranking. Furthermore, text generation with ChatGPT shows a potential saving of time of over 90 %. The chapter shows the massive potential ChatGPT offers in terms of SEO and cannot confirm concerns that ChatGPT-generated texts negatively influence the ranking.

Suggested Citation

  • Atilla Wohllebe & Christina Lagodka, 2024. "Can ChatGPT Replace Human Content Writers in SEO Copywriting? An Empirical Comparison for Performance Measurement of Generative AI in Search Engine Optimization in E-Commerce," Springer Books, in: Thomas Bolz & Gabriele Schuster (ed.), Generative Künstliche Intelligenz in Marketing und Sales, chapter 0, pages 303-313, Springer.
    • Handle: RePEc:spr:sprchp:978-3-658-45132-5_21
    DOI: 10.1007/978-3-658-45132-5_21
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-658-45132-5_21. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.