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Prompting Generative AI to Catalog: The Promise and the Reality.

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Bibliographic Details
Title: Prompting Generative AI to Catalog: The Promise and the Reality.
Authors: Aycock, Mary1 maycock@delmar.edu
Source: College & Research Libraries News. Nov2025, Vol. 86 Issue 10, p423-430. 8p.
Subject Terms: *Artificial intelligence, *Metadata, Catalogers, Machine-readable bibliographic data, MARC formats, Electronic records, International Standard Book Numbers, Subject headings
Abstract: The article presents a test case that used specialized generative artificial intelligence (AI) called CatalogerGPT to generate MAchine-Readable Cataloging (MARC) bibliographic records or fields based on prompts and uploaded files. It provides observations on the experimentation with CatalogerGPT including the transcription of International Standard Book Numbers and title fields, subject headings, conference heading, table of contents, access point for the organization and date of the metadata.
Database: Education Research Complete
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PubType: Periodical
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  Data: Prompting Generative AI to Catalog: The Promise and the Reality.
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  Data: <searchLink fieldCode="JN" term="%22College+%26+Research+Libraries+News%22">College & Research Libraries News</searchLink>. Nov2025, Vol. 86 Issue 10, p423-430. 8p.
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  Data: The article presents a test case that used specialized generative artificial intelligence (AI) called CatalogerGPT to generate MAchine-Readable Cataloging (MARC) bibliographic records or fields based on prompts and uploaded files. It provides observations on the experimentation with CatalogerGPT including the transcription of International Standard Book Numbers and title fields, subject headings, conference heading, table of contents, access point for the organization and date of the metadata.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=188790554
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        Text: English
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        StartPage: 423
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      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Metadata
        Type: general
      – SubjectFull: Catalogers
        Type: general
      – SubjectFull: Machine-readable bibliographic data
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      – SubjectFull: MARC formats
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      – SubjectFull: Electronic records
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      – TitleFull: Prompting Generative AI to Catalog: The Promise and the Reality.
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              Text: Nov2025
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