Keenious is an AI research discovery tool that recommends relevant academic articles from your text, working inside Word and Google Docs.
Keenious analyzes the document you are writing and surfaces real, published research from the OpenAlex index that relates to your topic β including work outside your usual field. Recommendations come with explanations of relevance, and one click inserts properly formatted citations. Because it works inside Microsoft Word and Google Docs as an add-in, discovery happens without breaking flow. It is designed to complement library databases rather than replace them, helping students and researchers find sources they would never think to search for.
Keenious is free for individual researchers with standard usage, while institutional licenses add administrative features and support for universities.
It fits students, academics and writers who want better sources with less searching, directly in the document where they write.
Install the add-in for Word or Google Docs and write as usual; Keenious analyzes your text and recommends published articles from the OpenAlex index that relate to what you are drafting. Each suggestion explains its relevance and can be inserted as a formatted citation in one click, including work from adjacent fields you would not think to search.
It fits into writing rather than replacing library research β run it early in drafting to broaden the source base, then verify key references through your institution’s access. Students find it especially useful for interdisciplinary topics where keyword search language is unfamiliar. Keep your citation style configured once; the formatted inserts save tedious cleanup at the end.
Yes, individual use is free. Universities can license institutional features and support.
Keenious offers programmatic and institutional access options in addition to its document add-ins.
Unlike search-engine style tools, Keenious recommends from what you are writing, surfacing cross-disciplinary sources keyword search would miss.
Yes, recommendations come from the OpenAlex index of real scholarly works, and every suggestion links to the published article. Researchers verify sources through their institutions as usual, so nothing about the academic record is taken on faith.
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