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Understanding Generative AI-mediated User Engagement with Academic Library Resources

L3 · BuilderResearcharXiv· 7/22/2026

Provides empirical data on AI-driven discovery patterns that library professionals and digital content strategists need to understand for resource optimization.

AI Summary

This research paper analyzes how platforms like ChatGPT, Perplexity, and Gemini are driving increased traffic to academic library resources, particularly electronic theses and dissertations. The study found that AI retrieval mechanisms effectively surface resources with structured metadata and stable permalinks, especially Open Access materials. The findings highlight the need for libraries to develop strategic responses to the evolving AI landscape.

Excerpt

This study empirically analyzed generative AI as an emerging discovery pathway to academic library resources. Utilizing web analytics from August 2023 to October 2025, the research identifies a significant increase in AI-mediated traffic, particularly following the integration of linked citation features. Referral analysis identified ChatGPT, Perplexity, and Gemini as the primary platforms driving this traffic. A substantial portion of users reached the institutional repository, primarily access

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