SDGenie (beta) is a free, experimental AI tool from CABI that explores how research text, such as abstracts, can be matched to the United Nations Sustainable Development Goals at the level of individual SDG targets, rather than just the goals themselves. The tool focuses on linking research to the 169 SDG targets, which set out more specific and measurable priorities. SDGenie (beta) has been released as a prototype, with an emphasis on testing ideas and gathering feedback from users.
Benefits & outcomes
According to CABI, SDGenie (beta) helps researchers identify or check which SDG targets their work relates to, making it easier to explain how research contributes to sustainability goals. By working at the level of detailed targets, the tool is intended to support clearer positioning of research impact and relevance. CABI also notes that SDGenie (beta) links to related material in the CABI Digital Library and that user feedback will play an important role in shaping how the tool develops.
Notes & quotes
Press release: CABI introduces SDGenie (beta) to help researchers stay on target | CABI News
Publisher / company: CABI
Date of case study: 08/01/2026
Source: https://www.cabidigitallibrary.org/sdg-target-relevance-tool