Study quality, sample sizes and conflicting results still need your judgment, and the AI summary layer can smooth over genuine scientific disagreement.
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✓ Pricing re-verified 17 Aug 2026
Consensus blocks plain fetches of its pricing page and neither our July nor our August 2026 capture retrieved an amount, so today's figures are not independently confirmed. Our dated reading: a free tier with essential search; Pro about $15/mo, or roughly $10/mo billed annually, with unlimited Pro searches and 15 Deep searches; a Deep tier adding around 200 Deep searches for power users; Teams and Enterprise quoted.
The unit that matters is Deep searches rather than seats — that is what the tiers ration. Plans change — always verify the live price on their site.
We capture Consensus’s own pricing page every month and keep the figures, so this is our record of the page — not a forecast, and not someone else’s summary.
Nothing to chart, and the reason is technical rather than commercial: Consensus serves its pricing page in a way our monthly capture cannot read, so the July and August 2026 readings are identical and empty. That is worth stating plainly, because an unchanged empty reading is not evidence that the price held.

It searches peer-reviewed literature, which is its strength and its boundary: it can tell you what published studies found, not whether those studies are good. Treat it as a dramatically faster literature scan, not an oracle; click through to the papers that matter.
AI search across peer-reviewed literature: it reports what published studies found, not whether those studies are sound. A free tier covers basic search; Pro is about $15/month, or roughly $10 billed annually.

Recurring themes from the buyer-review sites listed at the foot of this page, read in August 2026. We have not run Consensus ourselves, so this is other buyers' experience rather than ours. We summarise it here because the complaints are usually the part a vendor page leaves out.
The free plan already covers quick search and basic queries, so if you only skim abstracts occasionally, paying may not be worth it. The real break-even point is Deep Search usage: Pro adds unlimited Pro Search plus 15 Deep Searches a month, and it pays off once you're regularly leaning on that AI-synthesized analysis rather than just scanning ranked results. If 15 Deep Searches a month isn't enough — a systematic-review push burns through that fast — the Deep tier adds 200 Deep Searches a month, but it's priced and built for heavy users and small research teams, not occasional readers.
What upgrading does not fix: it won't make the underlying studies more rigorous, and it won't replace your own judgment on sample sizes or conflicting results. Teams pricing runs on shared seats with consolidated billing rather than a flat group rate, so cost scales with headcount, and annual billing lowers the effective monthly price but commits you to a year upfront.
The fastest path to real value is the web app at consensus.app, which works immediately without an account — you get anonymous access with a 3-paper-per-search limit. Creating a free account raises that to 10 papers per search plus 30 searches a month. For agent or IDE workflows, the MCP server also starts without an account: point an MCP-compatible client (Claude Desktop, ChatGPT, Cursor, Claude Code, VS Code Copilot, Windsurf) at https://mcp.consensus.app/mcp, complete the OAuth sign-in, and you're searching in under 2 minutes on most platforms.
Three things trip people up. The URL must end in the /mcp path or the connection fails. OAuth sessions expire after a few hours, so tools quietly stop working with 401 errors, and a plain reconnect click often doesn't fix it — a full client restart does. And Claude Code specifically sometimes needs a second attempt before the tool list populates.
Distilled from vendor docs (docs.consensus.app, consensus.app/llms-full.txt) plus third-party pricing trackers for the Deep Search limits, as the vendor's own pricing and help pages were blocked
The natural comparison is Elicit or Semantic Scholar — the research-AI peer set — Consensus leans consumer-friendly consensus summaries; Elicit leans structured extraction for reviews.
Everything we publish about Consensus links back here — the review stays the honest hub:
The ex-banker filter — the same yardstick on every review (how we review): My ex-banker filter is simple: does Consensus remove a real cost — time, errors, missed revenue — bigger than what it charges?
Our dated reading puts Pro at about $15 a month, or roughly $10 billed annually, with a free tier below it and a Deep tier above. We could not re-confirm those from the page on 17 August 2026 because it blocks plain fetches, so check the live figure before budgeting.
Deep searches. Pro gives unlimited ordinary Pro searches but only around 15 Deep ones; the tier above raises that to roughly 200. If your work is occasional literature checks the free or Pro tier is enough; if you run deep syntheses weekly, the Deep allowance is the only number that matters.
For finding papers and getting a sense of consensus on a question, yes. What it does not give you is the depth features that make it faster than a normal search, so treat it as a way to judge whether the interface fits your workflow rather than as the working tool.
Judge it on evidence rather than adjectives. Look for a published security page, single sign-on and role controls on the plan you would actually buy (they are often gated to higher tiers), a status page with real incident history, and a clear answer on where your data is stored. If the tool will hold anything sensitive, those four answers matter more than any feature comparison.
This is a researched assessment, not a hands-on test — where we've used a tool ourselves, we say so explicitly. We name what each tool is genuinely good and bad at, and we earn a commission only if you sign up, at no cost to you.
The it & productivity tools closest to Consensus that we have also reviewed. They overlap rather than match:
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