+Pros
- Evidence-focused summaries1 · 100%
- Extraction tables1 · 100%
- Paper-first workflow1 · 100%
Elicit
byElicitlisted Jun 3, 2026
Research & KnowledgeFreemiumEasy setupProprietary (Elicit models), Claude
Elicit is an AI research assistant specialized in academic literature, built to help researchers find, summarize, and extract data from scientific papers. Its "Elicit Notebook" enables systematic literature reviews by searching across 200M+ papers, extracting structured data into tables, and identifying research gaps. Elicit is the gold standard for academic researchers who need rigorous, evidence-based synthesis rather than general web search.
Freshness note: AI-agent behavior can change after model releases, client updates, pricing changes, or new default settings. Use the aggregate score as a historical baseline and check recent reviews plus model/runtime context before deciding.
- Pricing
- Free (5000 papers/year); Plus $12/mo; Professional $50/mo
- Model backbone
- Proprietary (Elicit models), Claude
- Setup complexity
- Easy setup
- Last reviewed
- Apr 8, 2026
- Recent signal
- 0 in 90 days
What reviewers consistently say.
Top pros and cons surfaced from 1 review. Counts reflect how many loaded reviews cite each point.
−Cons
- Narrow use case1 · 100%
- Not for general web research1 · 100%
1 reviews.
Reviews from users with 6+ months of usage or long-running production context.
RE
Ruling Editorial — Researchhistorical
6-12 months usage·academic literature screening and extraction·Apr 8, 2026
8.8/10
Purpose-built for literature review workflows
Ruling editorial benchmark: Elicit is strongest when the source of truth is academic papers rather than the general web. Extraction tables and evidence-focused summaries make literature review faster and more auditable. It is less useful as a broad research assistant, but very strong for researchers who need paper-grounded claims.
+ ProsPaper-first workflow · Extraction tables · Evidence-focused summaries
− ConsNarrow use case · Not for general web research
21 helpfulReviewed Apr 8, 2026
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