Elicit vs Scite
Elicit scores 7.8 to Scite's 5.8 among the literature search tools we rate, and is the better pick for 3 of the 5 kinds of buyer below.
Elicit wins, 7.8 to 5.8
Scite tells you whether later papers supported, contradicted or merely mentioned a paper you're reading, a citation classification Elicit does not offer. Elicit answers back with systematic review tools Scite lacks: screening with include and exclude decisions, automatic reference deduplication, and PRISMA grade accuracy on its Enterprise tier. Both start near $20 a month, Elicit at $19 and Scite at $20, but Elicit exports references to RIS, CSV, BibTeX, PDF and DOCX while Scite has no stated export format at all.
Pick Elicit if you need systematic review screening, dedup and full export formats.
Pick Scite if you need to know if later papers support or contradict one.
Best for
Who each one suits, decided on the criteria that matter to that buyer and the checked facts where the two differ.
- Shows if later papers support or dispute a paper: Scite yes, Elicit no
- Ask questions of a paper: Elicit yes, Scite no
- Reads tables and figures: Elicit yes, Scite no
- Screening with include and exclude decisions: Elicit yes, Scite no
- AI help with screening: Elicit yes, Scite no
- Removes duplicate references: Elicit yes, Scite no
- Monthly price, cheapest paid plan: Elicit $19, Scite $20
- Export formats: RIS, CSV, BIB, PDF, DOCX against None
- Shared projects with your team: Elicit yes, Scite no
How they score
Both are scored the same way, against the other literature search tools we rate, from facts on each vendor's own pages. Elicit leads on 4 of 6 criteria.
Where they differ
Every point where the two vendors' published facts disagree, with a link to where each fact was read. "Not published" means the vendor does not say either way.
Published by only one of them
Where they match (17)
Pricing, plan by plan
Every plan each vendor publishes, monthly and yearly where both are offered.
Elicit
Scite
Pros and cons
From each tool's full review, written from the same checked facts.
Elicit
- Semantic search across 138 million academic papers means users don't need exact keyword phrasing to find relevant literature.
- Built specifically for rigorous, citation-dependent research workflows rather than general-purpose AI use.
- Integrates clinical trial data with around 545,000 trials searchable alongside academic papers.
- Research Agent can analyze up to 20,000 data points and synthesize findings across up to 200 sources.
- Curated academic database ensures results are limited to credible sources rather than open web noise.
- Rooted in Ought's nonprofit AI research background, with a strong emphasis on accuracy and transparency over speed.
- Users who adopt it for serious literature review work tend to stick with it long-term, indicating high retention among target users.
- Structured extraction tables and report generation streamline systematic review workflows that would otherwise take weeks manually.
- Not designed for general-purpose AI queries, so users expecting quick answers or tidy summaries will be disappointed.
- Has no meaningful presence on G2 or Capterra, making third-party social proof and peer reviews difficult to find.
- Limited to a curated academic database rather than live web search, which may frustrate users needing current or non-academic sources.
- Niche positioning means the learning curve may be steep for researchers unfamiliar with systematic review workflows.
- Community feedback is scattered across Reddit, Twitter, and Product Hunt rather than consolidated review platforms, making evaluation harder.
- Relies on a mix of Claude from Anthropic and proprietary models, meaning output quality is partly dependent on third-party AI performance.
Scite
- Smart Citations tag exactly how each paper was treated by later research — supported, contradicted, or mentioned — giving researchers meaningful context beyond raw citation counts.
- Full-text search across 300 million+ scholarly articles, preprints, patents, and datasets rather than just metadata or abstracts.
- Every AI Assistant answer links back to the specific sentence in the source that generated it, enabling sentence-level verification of claims.
- The AI Assistant supports iterative querying, allowing researchers to narrow in on specific claims through follow-up questions.
- Integrates directly into existing workflows via Claude and ChatGPT MCP integration, a Chrome extension, and a Zotero plugin.
- Over 2 million researchers use the platform, indicating real-world adoption and trust within the academic community.
- The platform's accountability-first design predates the post-2022 AI research tool wave, suggesting depth over hype.
- No mobile app is available, limiting access for researchers who work on the go.
- API access is restricted to the $50/month Pro tier, making it inaccessible on the cheaper Basic plan.
- The review is based on documentation and user reports rather than hands-on testing, meaning some claims about accuracy cannot be independently confirmed.
- The interface and feature depth may be overwhelming for casual users who only need basic literature search.
- Competitors offer slicker interfaces, suggesting Scite may prioritize depth over ease of use and visual polish.
Elicit vs Scite: common questions
Which is better, Elicit or Scite?
Elicit scores 7.8 and Scite 5.8 out of 10 among the literature search tools we rate. Elicit is ahead on reading and analysing papers, systematic reviews, citing and writing and access, teams and privacy. Scite is ahead on finding papers.
Is Elicit or Scite cheaper?
Elicit's cheapest paid plan is $19/mo academic plan ($75/mo industry plan) and Scite's is $20/mo. Compare what each plan includes below before going on price alone.
What can Elicit do that Scite cannot?
On the facts both vendors publish: ask questions of a paper, reads tables and figures, screening with include and exclude decisions, aI help with screening, removes duplicate references, pRISMA flow diagram and shared projects with your team.
What can Scite do that Elicit cannot?
On the facts both vendors publish: shows if later papers support or dispute a paper.
