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AI research assistant — search and summarize 200M+ peer-reviewed papers with citations that link to real sources.
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ScholarAI is a literature-search assistant that connects a chat interface to a corpus of 200+ million peer-reviewed papers drawn from open scholarly indexes. It became one of the most-installed research plugins in ChatGPT’s plugin store in 2023, then survived the transition to GPTs while building a standalone web app. Ask a research question and it retrieves actual papers, summarizes findings, and cites each source with links — the core defense against a chatbot inventing plausible-sounding studies.
That grounding is the entire value proposition. Plain ChatGPT or Claude will fabricate citations under pressure; ScholarAI constrains answers to documents it actually retrieved, so every reference can be clicked and checked. Beyond search, it can ingest a specific paper’s PDF and answer questions about methods, extract data from tables and figures, and generate formatted citations.
The competitive field is crowded: Elicit focuses on structured systematic reviews and data extraction tables, Consensus specializes in yes/no evidence synthesis across studies, and Scite tracks whether later papers support or contradict a citation. ScholarAI positions itself as the generalist — conversational, fast, and cheap enough for students — rather than the deepest tool in any single niche.
Graduate students scoping a thesis literature review, clinicians and analysts who need cited answers fast, and anyone who already drafts in ChatGPT and wants real references instead of hallucinated ones. It suits exploratory “what does the research say about X?” sessions especially well.
Coverage follows open indexes, so paywalled journals often yield only abstracts — fine for scoping, insufficient for a rigorous review. Summaries compress methodology in ways that can mislead, so key papers still demand a full read. For formal systematic reviews with extraction tables, Elicit remains the stronger choice.