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ACADEMIC SEARCH / ASK THE RESEARCH
Consensus
An AI academic search engine that connects answers to research papers, with paper search, evidence summaries and deeper review features under free and paid usage limits.
Consensus official website captured October 3, 2026; product presentation, not a FindGoodAI performance testExplore the image ↓
What you can do with it
What this tool is for
Consensus is designed to help users find and understand academic research. It combines paper retrieval with AI-assisted explanations and links to the studies behind an answer. That makes it useful for initial literature exploration, checking the evidence behind a claim or preparing a structured reading list.
The important unit of review is still the study. An attractive synthesis can combine papers with different populations, methods and outcome measures. Before drawing a conclusion, inspect those differences and distinguish what the retrieved studies actually report from what the generated explanation infers.
01
Check a popular research claim
02
Prepare a journal-club discussion
03
Draft an evidence-informed article
04
Explore competing explanations
A closer look at the product
Official product image. Click to inspect the details.
Product interface and examples
Key features, practical tasks
Capabilities in practice
- Natural-language paper discovery: Search with a question, phrase or keyword and refine it as you read. Specify population, setting and timeframe so the results are relevant to the decision or explanation you are preparing.
- Source-linked synthesis: Advanced responses organize findings with citations. Use the linked papers to check the strength and limits of each claim instead of copying the summary without inspecting the evidence.
- Consensus Meter: For suitable yes-or-no questions, the product visualizes agreement among retrieved research. Read it as a summary of that result set, not a universal vote on scientific truth or a formal meta-analysis.
- Study Snapshots: The official feature descriptions include structured study details such as methods, sample size and outcomes. These help compare papers, but extracted values should be checked before inclusion in a formal table.
- Search filters: Use available filters or supported natural-language constraints to narrow results. Check the applied scope rather than assuming every qualification in a long prompt was enforced exactly.
- Deeper review workflows: Deep Search is intended for more involved literature exploration. It has its own allowance and should be used with a clear question, inclusion criteria and a plan for reviewing the generated synthesis.
- Library and integrations: Official guidance describes organizing papers, reference-management paths and MCP access. These can connect discovery to an existing workflow, but account permissions and usage pools need separate attention.
Get started, step by step
- 01
Specify the question
- 02
Start with paper discovery
- 03
Compare the underlying studies
- 04
Write a qualified conclusion
A practical first workflow
A practical first workflow
- Specify the question. State the phenomenon, population or system and outcome. Add dates and study-design preferences when they are relevant, while avoiding a question that presupposes the answer.
- Start with paper discovery. Inspect titles and abstracts before requesting a large synthesis. Revise the query if results drift into a neighboring topic or use a different meaning of the same term.
- Compare the underlying studies. Check methods, samples, limitations and source accessibility. Separate primary studies from reviews and note whether multiple papers describe the same underlying dataset.
- Write a qualified conclusion. Link claims to sources, explain disagreements and keep unanswered questions visible. Save the search context and review date so the result can be updated when new evidence appears.
Example prompt or task: What does research say about retrieval practice in higher education? Compare study designs, outcomes and limitations. Show conflicting findings and distinguish causal evidence from correlations.
This prompt illustrates a research workflow. It does not imply that the displayed studies are complete or that the tool’s synthesis has been independently validated.
Find the right plan for you
Free tier available
Explore official plans ↗Free plan Advanced monthly allowances apply
The current plan guide distinguishes Papers search from Pro messages, Deep reviews and Study Snapshots. Check each allowance separately.
What is free and what can cost extra
Consensus offers an ongoing Free tier with paper search and limited access to advanced AI functions. The current subscription guide separately lists Pro messages, Deep reviews and Study Snapshots. Treat each as its own allowance rather than assuming that an unlimited search label covers every AI operation.
Paid tiers expand access, and API or MCP use has separate conditions tied to the Consensus account.
A few things worth knowing
Frequently asked questions
Is Consensus free?
Yes. A free search tier exists, with separate limits for advanced functions.
Is every advanced feature unlimited?
No. The plan guide lists distinct allowances, including Deep reviews and Study Snapshots.
Does the Consensus Meter prove a claim?
No. It summarizes the retrieved research for a suitable question and should be interpreted alongside study quality and context.
Can I search in natural language?
Yes, official guidance supports questions, phrases and keywords. Clear scope generally makes results easier to review.
Does it provide complete full text for every paper?
No universal access is promised. Check whether the source provides an abstract or full text and what rights apply.
Can I connect it to another assistant?
Official MCP documentation describes supported integrations. Review the Consensus account conditions and permissions separately from the other assistant’s subscription.
Can I use the answer directly in an article?
Check the cited studies, preserve limitations and write only conclusions that the evidence actually supports.
The details behind your decision
Explore platforms, inputs and outputs, licensing, and access requirements.
Four useful starting projects
Four useful starting projects
- Check a popular research claim: Translate a broad claim into a specific question and inspect the supporting and conflicting studies. Record what remains uncertain rather than forcing the evidence into a simple yes or no.
- Prepare a journal-club discussion: Select a small set of papers and compare study design, measurement and limitations. Bring the original articles so participants can evaluate the interpretation directly.
- Draft an evidence-informed article: Use the search to find sources and build a claim-to-source table. Keep the final writing proportional to the evidence and avoid presenting an association as a demonstrated cause.
- Explore competing explanations: Search separately for alternative hypotheses and review how each was tested. A combined result can help reveal gaps, but the absence of a retrieved study does not prove the idea has never been investigated.
Platforms, inputs, outputs and setup
Platforms, inputs, outputs and setup
Consensus is a hosted academic-search product. A result can expose metadata, an abstract or available full text, but search visibility is not a universal license to access or redistribute every publication. Check the material actually available before saying you have reviewed a study in full.
A sound evidence table keeps the study design, population, intervention or exposure, outcome and uncertainty distinct. When papers disagree, inspect these dimensions before averaging conclusions. Research discovery supports careful interpretation; it does not remove the need for subject expertise when a conclusion has practical consequences.
Data, permissions and licensing
Data, permissions and licensing
The official FAQ describes a policy against using user data to train AI models. For unpublished documents or confidential projects, also review the current service policy and the permissions of any connected client.
Saved searches and collections can reveal a research agenda. Share only the material appropriate for the intended audience, and maintain your own reviewed bibliography and notes outside a generated response.
Sources, documentation and help
Official sources and review date
Official sources and review date
Reviewed October 3, 2026. Product facts come from the official sources below. Suggested projects, prompts and review methods are FindGoodAI editorial guidance, not measured performance results.
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