You've undoubtedly encountered Elicit vs. Consensus AI, two of the most talked-about AI research assistants for those who need to locate, comprehend, and synthesise scientific material, if you've spent any time attempting to sort through a pile of academic publications. They both guarantee to spare you hours of manual reading and searching. Neither performs precisely the same function. The use of AI research tools has skyrocketed among professionals who must make evidence-based judgements without the support of a research department, academics who must keep up to date in their area, and graduate students rushing to complete a thesis. The attraction is clear: you can ask a straightforward inquiry and receive a response based on actual papers, complete with citations, rather than having to go through pages of search results. This increase is consistent with a larger trend in many industries, as businesses are using AI development to automate tasks that formerly required days for teams of humans to do. Both Elicit and Consensus do this, although they approach it in different ways. Thousands of publications are screened, data is extracted into tables, and systematic reviews are conducted via Elicit, which favours organised processes. Consensus AI tends to provide quick, conversational responses to certain research topics, with a visual "meter" indicating the direction of the evidence. In order to help you determine whether one (or both) fits in your workflow, this article compares the two in terms of features, search, literature reviews, citations, accuracy, cost, and the circumstances in which each one excels.
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