If Consensus is built to answer “what does the science say?” in seconds, Elicit (elicit.com) is built for the heavier job that comes next: actually working through the literature, paper by paper, and turning it into structured evidence. Created by the research lab Ought, it began life as a tool to automate the slow grind of systematic literature reviews — and that’s still where it leaves every rival behind.

Ask Elicit a research question and it searches over 138 million scientific papers (plus more than half a million clinical trials), identifies the most relevant, reads the full text rather than just the abstracts, and presents structured summaries. Then comes the feature that makes researchers fall for it: data extraction at scale.

The killer feature: extraction tables

This is Elicit’s defining trick. You define the columns you care about — sample size, methodology, population, key findings, side effects, effect size — and Elicit populates that table automatically across dozens or even hundreds of papers. What used to mean weeks of reading and manual coding becomes a structured dataset you can scan, sort and export in an afternoon.

And it’s accurate. In independent hands-on testing across 50 papers, Elicit reached extraction accuracy that rivals manual coding, while general-purpose ChatGPT trailed well behind — and one evaluation ranked Elicit highest overall at 9.2/10 for systematic reviews. Real teams report extracting dozens of statistical variables from hundreds of papers several times faster than traditional methods.

How Elicit scores

Overall score: 8.1 / 10, the average of the eight categories above.

What Elicit does well

Systematic reviews in hours, not months

This is the headline. Tasks that traditionally consume weeks of a researcher’s time — screening, extracting, tabulating — collapse into a single sitting. Users routinely report saving 10-plus hours a week, and many say the subscription pays for itself within the first month. For anyone running meta-analyses or evidence syntheses, that’s transformative rather than merely convenient.

It reads the actual papers

Elicit works on full text, not just abstracts, which is why its summaries and extractions hold up. Combine that with a 138-million-paper corpus, half a million clinical trials, exportable tables (CSV and BibTeX), research notebooks and — new for 2026 — a Research Agent for automated workflows and multimodal support, and you have a genuine end-to-end research platform rather than a glorified search box.

Built for rigour, grounded in sources

Because every output traces back to real papers, Elicit is trustworthy in a way general chatbots simply aren’t for citation work. It was created by a team with deep roots in AI-safety research, and that caution shows: it’s designed to help you analyse and synthesise peer-reviewed evidence, not to improvise answers from training data.

Elicit pricing

Elicit uses a credit-and-tier model, and the structure has shifted more than once in 2026, with sources quoting different figures — so treat the table below as a guide and confirm on the live pricing page.

Roughly 35% off with annual billing. Note Elicit’s free credits have at times been one-time rather than refreshing monthly (unlike Consensus), so check current terms before relying on the free tier.

Where it falls short

It’s expensive

This is the big one. At around $49 per user a month, Pro costs roughly five times what Consensus charges, and the team tiers climb into the hundreds. For the serious systematic-review work Elicit is built for, the time savings justify it — but for casual or occasional research, it’s hard to recommend over cheaper, simpler alternatives.

A learning curve, and a narrow remit

Getting the most from column extraction and the systematic-review tools takes some upfront investment — this isn’t a tool you master in five minutes. And like every AI research assistant, it’s a specialist: brilliant for academic and scientific deep dives, useless for everyday questions, current events or open-web search. It’s also not infallible, so extracted data still needs spot-checking, especially on complex or ambiguous papers.

Pros and cons

Who should use Elicit?

Elicit is made for people doing serious literature work: PhD candidates, postdocs, academic researchers, medical and clinical reviewers, and policy analysts running systematic reviews or meta-analyses. If your deliverable is a structured evidence table or a comprehensive review, this is the most powerful tool available, and the hours it saves quickly outweigh the price.

It’s overkill — and overpriced — if you just want quick answers to research questions. For that, Consensus is cheaper and simpler, and Perplexity covers everyday and open-web questions. The smart move for many researchers is Consensus or Perplexity for fast answers, Elicit when a project demands depth.

Verdict

Elicit is the most capable AI research assistant for the hardest part of research. Its extraction tables and systematic-review workflows are genuinely category-defining, the accuracy holds up against manual coding, and the time it saves on a serious review can be measured in weeks. For evidence synthesis at scale, it’s in a class of its own.

What keeps it just behind Consensus in our ranking is accessibility, not capability: the ~$49 Pro price, the learning curve and the narrow remit mean it’s a power tool for committed researchers rather than an everyday pick. If that’s you, it’s worth every penny — and a few hours learning it will pay for itself many times over. Score: 8.1/10.

Frequently asked questions