Using Generative Artificial Intelligence to Improve User Engagement in Content Marketing

The use of Generative Artificial Intelligence (GenAI) is revolutionising how companies create digital content on social networks. However, how users respond to this content remains less explored. The aim of this article is to compare GenAI-generated content with human-generated content on Instagram. First, through a survey of 273 students, we explored user engagement with the eSports team’s content on Instagram. Second, we measured followers’ engagement behaviors (i.e., “likes”, comments, shares and reach) with GenAI-generated content versus human-created content. Results indicate that both GenAI tools (ChatGPT and Gemini) achieved similar levels of engagement in terms of “likes”. ChatGPT stood out for its use of interactive features like opinion polls, particularly in “stories”, while Gemini excelled in total reach and visibility. In contrast, human-generated content attracted a higher proportion of non-followers, suggesting a stronger potential to expand the existing audience. These findings underscore the advantages of adopting a hybrid strategy that combines the scalability and speed of GenAI with the contextual relevance and authenticity of human-created content.

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Publication Details

Journal
JUCS - Journal of Universal Computer Science
Published
2025-10-23
DOI
https://doi.org/10.3897/jucs.151691
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
0.00
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article

Using Generative Artificial Intelligence to Improve User Engagement in Content Marketing

Claudia Aguirre, Antonio Serrano, Juan Morales-García, Irene Ruíz-Pozo
JUCS - Journal of Universal Computer Science
Digital Marketing and Social Media
article

Using Generative Artificial Intelligence to Improve User Engagement in Content Marketing

Claudia Aguirre, Antonio Serrano, Juan Morales-García, Irene Ruíz-Pozo
article en

Abstract

The use of Generative Artificial Intelligence (GenAI) is revolutionising how companies create digital content on social networks. However, how users respond to this content remains less explored. The aim of this article is to compare GenAI-generated content with human-generated content on Instagram. First, through a survey of 273 students, we explored user engagement with the eSports team’s content on Instagram. Second, we measured followers’ engagement behaviors (i.e., “likes”, comments, shares and reach) with GenAI-generated content versus human-created content. Results indicate that both GenAI tools (ChatGPT and Gemini) achieved similar levels of engagement in terms of “likes”. ChatGPT stood out for its use of interactive features like opinion polls, particularly in “stories”, while Gemini excelled in total reach and visibility. In contrast, human-generated content attracted a higher proportion of non-followers, suggesting a stronger potential to expand the existing audience. These findings underscore the advantages of adopting a hybrid strategy that combines the scalability and speed of GenAI with the contextual relevance and authenticity of human-created content.

JUCS - Journal of Universal Computer ScienceVol. 31(12)
University of Alicante (ES), Universidad Católica de Murcia (ES)
Openalex Percentile: Top 60%
Digital Marketing and Social Media
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