IDEAS home Printed from https://ideas.repec.org/a/bdu/ojijcp/v10y2025i2p1-23id3246.html
   My bibliography  Save this article

The Impact of Artificial Intelligence on Public Relations Strategies: A Quantitative Analysis of the Middle East’s 10 Most Valuable Brands

Author

Listed:
  • Pablo Medina Aguerrebere
  • Kinza Khan
  • Jessica Abraham

Abstract

Purpose: This paper’s research question is: How does artificial intelligence impact the main elements of public relations strategies: communication objectives, target audiences, brand positioning, and creative concepts (art and message)? Methodology: To answer this question, we conducted a literature review about how this technology impacts the marketing industry, branding campaigns, and public relations strategies. Then, we resorted to Brand Finance’s “Middle East 150” report and defined 20 indicators to quantitively analyze how the Middle East’s 10 most valuable brands used artificial intelligence to enhance their public relations strategies. Findings: Our results revealed that the three most respected indicators were the use of several target audiences simultaneously (78), impactful images (74), and storytelling (73). The brands respecting the most criteria were Sabic and Stc. Unique Contribution to Theory, Practice and Policy: Companies must use this technology to revisit the public relations profession and implement more credible branding models based on sharing meaningful content that improves stakeholders’ lives. We recommend brands to integrate artificial intelligence professionally into their public relations departments, recruit experts in this area, update their communication plans, and implement new internal practices and indicators guiding public relations campaigns.

Suggested Citation

  • Pablo Medina Aguerrebere & Kinza Khan & Jessica Abraham, 2025. "The Impact of Artificial Intelligence on Public Relations Strategies: A Quantitative Analysis of the Middle East’s 10 Most Valuable Brands," International Journal of Communication and Public Relation, IPRJB, vol. 10(2), pages 1-23.
  • Handle: RePEc:bdu:ojijcp:v:10:y:2025:i:2:p:1-23:id:3246
    as

    Download full text from publisher

    File URL: https://www.iprjb.org/journals/index.php/IJCPR/article/view/3246/3915
    Download Restriction: no
    ---><---

    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:bdu:ojijcp:v:10:y:2025:i:2:p:1-23:id:3246. 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: Chief Editor (email available below). General contact details of provider: https://iprjb.org/journals/index.php/IJCPR/ .

    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.