Direct comparison
Elicit vs. Consensus: AI Research Compared
Elicit extracts structured data across papers; Consensus scores claim-level agreement. Compare accuracy evidence, pricing, and methods-section fit.
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How do Elicit, Consensus compare side by side?
The table below compares Elicit, Consensus across 9 procurement-relevant dimensions, from core mechanism through pricing.
Side-by-side comparison
| Dimension | Elicit | Consensus |
|---|---|---|
| Core mechanism | Retrieves papers from a 138M+ paper index, then extracts structured data (methods, outcomes, sample size, etc.) into a comparable table with sentence-level source citations for each cell. | Retrieves papers via a corpus built in partnership with Semantic Scholar, then synthesizes a written summary and, for yes/no-style claims, displays a Consensus Meter: a vote-count bar of how many retrieved papers support, oppose, or report mixed results. |
| Primary output | An exportable table of extracted variables across many papers (up to 200 sources per report), each cell traceable to a specific source sentence. | A narrative synthesis plus an agreement bar -- not a structured, per-variable table. |
| Systematic-review screening support | Dedicated PRISMA 2020-aligned Systematic Literature Review workflow -- screens up to 5,000 papers (Pro) or 40,000 (Enterprise). | None -- Consensus is not built as a screening tool and does not log a fixed, reproducible search protocol. |
| What the vote/extraction actually weighs | Nothing is "weighted" -- Elicit extracts what a paper reports; the researcher still judges study quality. | Each retrieved paper counts as one vote, with no adjustment for study design, sample size, or risk of bias -- a small case series and a large RCT count equally. |
| Independent accuracy evidence | Two peer-reviewed studies (Lau & Golder 2025; Lagisz et al. 2026) found search sensitivity of about 39-40% against traditional search and inconsistent supporting-quote/reasoning accuracy on new articles -- both recommend it as a secondary check, not an autonomous replacement. | No independent peer-reviewed accuracy study of the Consensus Meter was found; its structural limitation (no risk-of-bias, sample-size, or effect-size weighting) holds regardless of retrieval accuracy. |
| Best-fit task | Building a structured, exportable evidence table as a documented aid to the screening/extraction stage of a real review or scoping search. | Fast orientation -- checking whether a claim has any published support at all, before designing a real search. |
| Where it is disqualifying | Cannot substitute for a full traditional search (confirmed sensitivity gap) and cannot extract from figures or tables. | Not reproducible -- the retrieved paper set is not fixed or fully disclosed, so it fails any use case requiring an auditable, PRISMA-style search trail. |
| Can its output go in a methods section? | The extracted table can support a documented extraction/screening step if the workflow and its limitations are disclosed -- not as an unsupervised replacement for reviewer screening. | No -- the Consensus Meter is not a documented search protocol and is not citable as evidence synthesis; use it before designing the search, not in the search-methods writeup. |
| Pricing | Basic free; Pro $49/mo; Scale $169/mo; Enterprise custom (elicit.com/pricing, confirmed 2026-08-31). | Free tier with capped monthly syntheses; paid individual "Premium" plan third-party-reported around $8-10/mo on an annual commitment (not confirmed directly on consensus.app at time of writing -- verify before budgeting); separate Team/Enterprise pricing. |
Common questions
Common questions about Elicit vs Consensus
Can either tool replace a systematic review search?
+
No. Two independent peer-reviewed studies found Elicit's search sensitivity (about 39-40%) far below a traditional systematic-review search (about 94.5%). Consensus has no independent accuracy study, and its Consensus Meter counts papers rather than weighing them by study design or risk of bias -- neither produces a reproducible, PRISMA-style search a reviewer can cite as the search methodology.
Which one is better for a methods section?
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Neither belongs in a methods section directly. Elicit's extracted table can support a disclosed extraction/screening step if you note the tool and its limitations; Consensus's Consensus Meter is not a documented search protocol at all and is better used before you design your real search than cited as part of it.
Do I need both?
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They solve different problems. Consensus is faster for orienting on whether a claim has any published support; Elicit is built for pulling comparable data out of a paper set once you already know which papers matter. Many researchers use Consensus to scope a question, then Elicit or a manual screen to build the actual evidence table.
