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Generative AI drives increased traffic to academic library resources

A new study published on arXiv analyzes how generative AI tools are impacting user engagement with academic library resources. The research found a notable increase in AI-driven traffic to institutional repositories, with platforms like ChatGPT, Perplexity, and Gemini acting as primary referral sources. This AI-mediated access primarily surfaces resources with structured metadata, such as electronic theses and dissertations, highlighting the need for libraries to adapt their strategies to the evolving AI landscape. AI

IMPACT Highlights how AI tools are becoming significant discovery pathways for academic content, influencing how users access and engage with library resources.

RANK_REASON The cluster contains a single academic paper discussing research findings. [lever_c_demoted from research: ic=1 ai=1.0]

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Generative AI drives increased traffic to academic library resources

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Hae Min Kim, Stacy Stanislaw ·

    Understanding Generative AI-mediated User Engagement with Academic Library Resources

    arXiv:2607.20328v1 Announce Type: cross Abstract: 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 …