Consensus vs Elicit
Elicit scores 7.8 to Consensus's 6.7 among the literature search tools we rate, and is the better pick for 2 of the 5 kinds of buyer below.
Elicit wins, 7.8 to 6.7
A dollar apart and both built for academic literature, so price is not the axis. Consensus searches 250 million peer-reviewed papers and gives you a cited answer, with a Consensus Meter showing how strongly evidence supports a claim. Elicit does semantic search across 138 million papers and, more importantly, has a dedicated systematic review workflow that screens up to 5,000 papers. One is fast. The other is rigorous.
Pick Consensus if Pick Consensus if you want an answer now, sourced properly. Drawing on 250 million peer-reviewed papers rather than blogs or news keeps the quality high, and the Consensus Meter orients you quickly on where the weight of evidence sits. $20/mo, free tier available. There is no mobile app.
Pick Elicit if Pick Elicit if you are conducting an actual review rather than asking a question. The systematic review workflow screening up to 5,000 papers is the feature nothing else here matches, semantic search means you do not need exact keyword phrasing, and it integrates clinical trial data. $19/mo.
Best for
Who each one suits, decided on the criteria that matter to that buyer and the checked facts where the two differ.
- Map of connected papers: Consensus yes, Elicit no
- Alerts for new papers: Elicit yes, Consensus no
- Reads tables and figures: Elicit yes, Consensus no
- Screening with include and exclude decisions: Elicit yes, Consensus no
- AI help with screening: Elicit yes, Consensus no
- Removes duplicate references: Elicit yes, Consensus no
- Monthly price, cheapest paid plan: Consensus $20, Elicit $19
- Works in languages other than English: Consensus yes, Elicit no
- Works with Zotero, Mendeley, EndNote and others: Zotero, EndNote, Mendeley, Paperpile against Zotero
- Does not train AI on your data: Consensus yes, Elicit does not say
- But Elicit leads on browser extension: Elicit yes, Consensus 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 3 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 (15)
Pricing, plan by plan
Every plan each vendor publishes, monthly and yearly where both are offered.
Consensus
Elicit
Pros and cons
From each tool's full review, written from the same checked facts.
Consensus
- Pulls answers from over 220 million peer-reviewed papers, not blogs or news articles, ensuring high-quality academic sources.
- The Consensus Meter provides a visual summary of how strongly existing evidence supports or contradicts a claim, saving synthesis time.
- Deep Search builds a thorough research strategy using citation graphs rather than simple keyword matching.
- Natural language question-based search means researchers without Boolean logic skills can use it effectively.
- AI summarization is built in, reducing the manual work of reading and condensing multiple studies.
- The interface is consistently praised as clean and intuitive across G2 and Capterra reviews.
- Full-text access from licensed publishers is available for premium and enterprise users, going beyond what most free tools offer.
- No mobile app exists, which is a significant gap for clinicians needing quick literature checks away from their desk.
- The Consensus Meter risks oversimplifying contested scientific debates into a color bar, potentially misleading users on nuanced topics.
- Advanced features like Deep Search and full-text access appear to be gated behind premium or enterprise pricing tiers.
- The tool is designed around question-based search, which may limit researchers who need complex, multi-variable query structures.
- Users who rely heavily on the platform report emerging frustrations with gaps in coverage or synthesis accuracy for niche research areas.
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.
Corpus size is the wrong comparison
250 million against 138 million looks decisive and is not. Elicit works from a curated academic database, which is narrower on purpose and part of why its results hold up in rigorous work. Bigger indexes include more of everything, which is an advantage for discovery and a liability for screening.
Each one will disappoint the wrong user
Elicit is not for quick answers. Our review says it plainly: anyone expecting a tidy summary will be disappointed. It is built for citation-dependent workflows, and using it casually feels like hard work for no reason.
The Consensus Meter can flatten a real debate. Reducing contested science to a colour bar risks misleading you exactly where the disagreement is the interesting part. Use it to orient, never to conclude.
The evidence gap on Elicit
Elicit has no meaningful presence on G2 or Capterra, so third-party peer reviews are hard to find. Its nonprofit mission and stated focus on trustworthy AI-assisted research are reassuring in a different way, but if you rely on independent social proof before buying, it is thin here.
Doing both
At $39 combined, using Consensus to scope a question and Elicit to run the review afterwards is a coherent workflow rather than a compromise, and it matches how most literature work actually proceeds.
Consensus vs Elicit: common questions
Which is better for a systematic review?
Elicit, without question. It has a dedicated systematic review workflow capable of screening up to 5,000 papers, which is a different class of tool from a search-and-answer interface.
Does Consensus have a mobile app?
No, and our review flags that as a significant gap for clinicians who need quick literature checks away from a desk.
Is a larger paper index better?
Not automatically. Consensus indexes more at 250 million, but Elicit works from a curated academic database, which is narrower deliberately and part of why it suits rigorous screening work.
