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ResearchElicit (formerly Ought)

Elicit

AI research assistant for literature review and evidence synthesis.

Category
Research
Pricing
FREEMIUM
Hosting
Cloud
Platforms
Web
Models
Multi-model
Verified
Jun 7, 2026

Searches, summarizes, and extracts structured data across 125M+ academic papers, with sentence-level citations. Goes beyond chat-over-papers with a guided systematic-review workflow covering search, screening, extraction, and report synthesis. A free Basic plan offers unlimited search and summaries; paid tiers add data-extraction volume and the review pipeline.

Capabilities 6

What it actually does — grouped by capability family.

  • Cited answers (secondary capability)
  • Literature search (primary capability)
  • Literature review (primary capability)
  • Structured extraction (secondary capability)
  • Report generation (secondary capability)
  • Summarization (secondary capability)

Used in 1 recipe

Pros & cons

  • Search, screen, extract, synthesize in one flow
  • Structured extraction with custom columns
  • Evidence synthesis across large paper sets
  • Benchmarked against Cochrane reviews
  • No PICO framework or Boolean operators
  • Systematic-review features gated to Pro
  • Credit-based free tier (one-time)
  • Coverage limited to indexed literature

Tags

Further reading

View all Research
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    Consensus

    Consensus

    AI search over peer-reviewed research papers, with inline citations.

    An academic search engine that runs natural-language questions against a corpus of more than 200 million peer-reviewed papers and synthesizes the findings with inline citations. Its Consensus Meter aggregates how much the studies agree or disagree, and a copilot helps draft literature reviews. Aimed at researchers, students, and clinicians.

    200M+ peer-reviewed corpus
    Best answers behind paid tier
    • research
    • academic-search
    • citations
    • literature-review
  • View Undermind details
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    Undermind

    Undermind

    AI deep-research agent that finds every relevant paper on a scientific question.

    A research-discovery platform that takes a natural-language question and autonomously searches, reads, and evaluates hundreds of academic papers — following citation trails and explaining each result's relevance, mimicking how an expert runs a literature review. Built by MIT quantum-physics PhDs and backed by Y Combinator; used by researchers at MIT, Harvard, and Caltech.

    Exhaustive citation-trail search
    Slow — minutes per query
    • research
    • literature-search
    • science
    • deep-research
  • View SciSpace details
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    SciSpace

    SciSpace

    AI research assistant: search, read, and review the literature.

    AI workspace for academics that searches a corpus of 280M+ papers, runs literature reviews, and answers questions over PDFs with citations. Adds writing aids like a paraphraser and citation generator, plus an agentic 'Deep Review' literature search introduced in 2025. Free Basic tier with paid upgrades.

    280M+ paper corpus
    Undisclosed underlying models
    • research
    • literature-review
    • papers
    • citations
    • +1
  • View Scite details
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    Scite

    Scite (a Research Solutions company)

    AI research assistant built on citation-context Smart Citations.

    Scite helps researchers find and evaluate scientific literature using Smart Citations — citations classified by whether they support, contrast, or simply mention a paper's claims. Beyond search, its AI Assistant answers research questions with grounded, cited references, and reliability dashboards flag retracted or heavily disputed work. Available on the web and via browser and reference-manager plugins.

    Supporting/contrasting citation context
    Citation-context focus, narrower search
    • research
    • citations
    • academic-search
    • literature-review