Semantic Fields in Headlines of AI-Generated Responsive Search Ads for Black Friday Offers

With the growing integration of artificial intelligence (AI) into advertising practices, questions arise regarding the semantic preferences exhibited by AI-generated content. This study conducts a linguistic analysis of the headlines of AI-generated responsive search ads created for Black Friday campaigns in the consumer electronics sector. The aim is to identify dominant semantic fields and to uncover underlying thematic structures in AI-driven promotional language. The analysis demonstrates a marked prevalence of lexical items associated with sales promotion and call-toaction domains, suggesting a consistent strategy aimed at stimulating consumer engagement. These findings offer novel insights into the linguistic patterns of AI-generated advertising and inform the development of more effective data-driven marketing strategies. The paper concludes by addressing methodological limitations and proposing directions for future research.

Authors

Publication Details

Journal
Sylwan
Published
2025-01-01
DOI
https://doi.org/10.59879/afrdj
Primary Topic
Consumer Market Behavior and Pricing
Type
article
Field-Weighted Citation Impact
0.00
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article

Semantic Fields in Headlines of AI-Generated Responsive Search Ads for Black Friday Offers

Milana Vojvodic
Sylwan
Consumer Market Behavior and Pricing
article

Semantic Fields in Headlines of AI-Generated Responsive Search Ads for Black Friday Offers

Milana Vojvodic
article en

Abstract

With the growing integration of artificial intelligence (AI) into advertising practices, questions arise regarding the semantic preferences exhibited by AI-generated content. This study conducts a linguistic analysis of the headlines of AI-generated responsive search ads created for Black Friday campaigns in the consumer electronics sector. The aim is to identify dominant semantic fields and to uncover underlying thematic structures in AI-driven promotional language. The analysis demonstrates a marked prevalence of lexical items associated with sales promotion and call-toaction domains, suggesting a consistent strategy aimed at stimulating consumer engagement. These findings offer novel insights into the linguistic patterns of AI-generated advertising and inform the development of more effective data-driven marketing strategies. The paper concludes by addressing methodological limitations and proposing directions for future research.

Sylwan
Openalex Percentile: Top 87%
Consumer Market Behavior and Pricing
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