Keenious
AI research discovery across 177M publications with visual maps and in-paper explanations
💬 What is Keenious?
Keenious is an AI-powered academic research discovery platform that searches across approximately 177 million publications, 71 million authors, 190,000 venues, and 123,000 institutions. It is designed for university students, academic researchers, and librarians who need to find relevant literature, understand complex papers, and follow connections between research areas. The platform is distinctive for its interactive 2D map that groups publications into research areas, its chat-based explanations of unfamiliar terms, methods, and statistics, and its explicit policy of never writing essays or assignment text on the user's behalf. It is available on the web, in Microsoft Word, and in Google Docs, with campus-wide licensing offered through university libraries.
Who it's for
Best for: University students, academic researchers, and librarians at higher education institutions
- Finding relevant papers for a research question in plain language
- Explaining unfamiliar terms, methods, and statistics in dense papers
- Mapping how a research area is structured and what neighboring fields exist
- Identifying suitable journals for a manuscript submission
- Locating researchers working on a topic at a specific institution
Pros & cons
- Large corpus of ~177M publications, 71M authors, 190K venues, and 123K institutions
- Available in Microsoft Word and Google Docs for in-context use
- Explicit non-writing policy: does not produce essays, paragraphs, or assignment outlines
- Every cited source is a published paper users can open and verify
- Institutional licensing available so entire campuses can use Keenious Plus
- Keenious Plus with full features appears to be gated behind university library subscriptions
- Individual self-service access to Plus is mediated through library checkouts rather than direct purchase
- No explicit mention of reference-manager integrations (e.g., Zotero, Mendeley) on the site
Key features
- Search across ~177M academic publications including articles, books, preprints, and conference papers
- Interactive 2D map grouping publications into research areas with up to 1,000 papers per query
- AI chat that explains unfamiliar terms, methods, and statistics in plain language beside a paper
- Translation of studies published in other languages
- Direct search with filters for open access, peer review, publication date, and citations
- Filter results by author, journal, or institution
- Search and browse authors, venues, and institutions independently of a paper query
- Word and Google Docs add-ins for in-context discovery
Pricing
Pricing compared →Prices listed on the Keenious pricing page: $10/mo · $20/user
Source: keenious.com pricing page. Price checked 2026-10-20. Confirm current plans before buying.
💬 Community sentiment (from public reviews)
No third-party reviews found yet. Grade reflects our 60% verification confidence.
💬 Keenious user reviews (0)
Write a reviewNo reviews yet. Be the first to review!
Trust & safety
Badge for Keenious
OptionalListing is free and never requires a link. If keenious.com links back to this page, the listing earns Partner perks: a higher category rank, a Partner badge on its card, and an ad-free direct “Visit” link. Use any link attributes you like — rel="nofollow" is fine.
Frequently asked
How is Keenious different from ChatGPT?
Keenious is built around the research journey. It searches about 177M academic publications, links directly to every paper, and helps unpack complex topics rather than generating free-form text.
Can I search directly without using the chat?
Yes. Direct search is available with filters for peer-reviewed venues and open access, plus browsing of authors, journals, and institutions.
Can I cite the answers in the chat?
Chat responses point to verified sources; the original peer-reviewed publications should be read and cited directly.
How is Keenious different from Google Scholar?
Keenious maps search results as an interactive 2D landscape and connects every paper to its authors, institutions, and peer-reviewed journals in one workspace.