TL;DR: Consensus AI is an AI search engine that finds real research papers and sums up what they found, with a citation for every claim. You ask a question in plain words, and it searches over 200 million papers before its AI writes a single line. That makes it a fast way to see what scientists already know about your question. For yes/no questions, its Consensus Meter shows how many studies lean yes, no, or possibly. Treat the summary as a map, then open the papers it points to. If reading other people's studies makes you want to run your own, Veritas AI's AI Scholars program teaches you Python and AI in live classes with a 5:1 student-to-mentor ratio. You finish by building a real AI project with a small team, and no coding experience is needed to start.
If you are a high schooler starting a research project, you've probably asked ChatGPT for sources at least once. Sometimes it hands you a paper that sounds perfect but doesn't exist. Consensus was built to solve that problem. Every paper it cites is a real study. Its library holds more than 200 million scientific papers from every field of science.
You don't need to know anything about research databases to use it. You only need a question you're curious about. For example, does using AI tools actually help students learn math? Type that into Consensus, and you can see what real studies have found.
What is Consensus AI?
Consensus AI is a search engine for scientific research that uses AI to find papers and explain what they found.
Most of its library is peer-reviewed journal articles, which are papers that other experts checked before they were published. The papers come from Semantic Scholar, OpenAlex, an open catalog of research, and Consensus's own crawl of research websites. Together, they cover all of PubMed, the U.S. library of health research, plus nearly every high-impact journal. That's handy when your teacher wants scholarly sources. A regular search tends to bury them under blogs and news stories.
How does Consensus AI work?
Consensus AI finds and ranks the best papers first, and only then does its AI summarize them. It starts by comparing your question to each paper's title and abstract, the short summary at the top of a study. One search works out what you mean, and another matches the exact words you typed. Next, it reorders the top 1,500 papers by quality and fit, so newer, well-cited papers from respected journals move up. Finally, a larger AI model ranks the top 20. You can read the full breakdown on Consensus's own site.
Think of it like tryouts for a school team. The first round lets almost everyone through, the second round cuts by skill, and the coach picks the final roster. Only after that roster is set does the AI step in, reading the chosen papers and writing a summary with a citation on each point. For your research, that means a quick picture of any topic, with every claim tied to a study you can check.
What are the main features of Consensus AI?
Consensus AI's six main features cover the jobs you do on a research project: getting an overview, sizing up evidence, reading papers, and saving sources. Here's what each one does and when it helps you.
Getting an overview (Papers, Pro, and Deep modes): Papers mode lists matching studies with no summary. Pro mode summarizes the top 20 papers with a citation on each point, which helps when a topic is new to you. Deep mode builds a full report laid out like a literature review, the "what's already known" part of a research paper.
Seeing where the evidence leans (Consensus Meter): Ask a yes/no question, and the meter sorts the most relevant studies into "yes," "no," or "possibly." It helps when you're deciding which side of a question your project should test.
Choosing which papers to read (Study Snapshot): This fact card lists who was studied, the sample size, the methods, and the results. You can tell a 20-person study from a 2,000-person one before you open anything.
Understanding a hard paper (Ask Paper): You can ask a study questions like "How did they measure test scores?" The AI answers from that paper's text and explains charts or statistics in plain words.
Keeping only strong evidence (search filters): You can filter by date, study type, sample size, and journal quartile. A quartile splits journals into four tiers by impact, so the top tier holds the highest-impact 25 percent.
Staying organized (lists and exports): You can save papers into a list for each project. Then you can export them to a reference manager, an app that formats your citations for you.
How to use Consensus AI for research
You can use Consensus AI for a research project in six steps, from writing your question to saving the papers you'll cite. Here's how they play out with the AI-and-math question from earlier.
Write your question as a clear yes/no question. "Does using AI tools help students learn math?" works, and a yes/no question turns on the Consensus Meter. Adding who and what makes it sharper: "Do AI tutors improve high school students' math scores?" If you're still choosing a question, these AI research ideas for high school students can help you find one.
Start with a Pro search. Pro mode gives you a cited summary of the top 20 papers, which is perfect for a first look. Deep reviews are limited each month, so save them for later, once you know your topic well.
Read the Consensus Meter and the summary together. The meter shows how many studies lean yes, no, or possibly. The summary explains why. Write down the two or three findings that the most papers agree on.
Narrow your results with filters. Set the dates to the last five years to see current work. Then try filtering for randomized controlled trials. In these studies, students are split into groups by chance, and only one group uses the AI tutor, which makes the comparison fair.
Check each paper's Study Snapshot, then open the best ones. Use the snapshots to pick five to eight papers with solid sample sizes. Read each one's abstract, results, and conclusion. When a part confuses you, use Ask Paper to explain it.
Save your papers to a list named after your project. A name like "AI tutors and math" keeps everything in one place. When you start writing, you can export the list to your reference manager.
Never searched for a research paper before? That's completely okay. Your first step can be one Pro search on a question from your own classes this week.
After a few searches, you might spot a question no study has tested yet, like whether AI tutors help students who usually struggle in algebra. Testing that gap with your own AI model is how you go from reading research to adding to it. If you know some Python, Veritas AI's AI Fellowship with Publication & Showcase pairs you with an AI researcher for 15 one-on-one sessions. Together, you design and build a project around the exact question you found.
Common mistakes when using Consensus AI
The four most common Consensus AI mistakes all come from trusting the quick view over the papers themselves.
Citing a paper you only saw in a summary: A summary line tells you what a study found. It can't show how the study was run or what the authors say went wrong. Before a paper goes into your project, read its abstract, results, and conclusion.
Asking vague or off-topic questions: "Is AI good for school?" pulls in studies on cheating, essays, attendance, and more. Name who, what, and the result you care about, like "Do AI tutors improve ninth graders' algebra grades?" Consensus's own search guide also says general facts, like a country's capital, belong in a regular search engine.
Reading the Consensus Meter as the final answer: The meter counts papers, and each paper counts the same. Eight tiny studies that say yes don't outweigh one huge trial that says no, so check sample sizes before you decide.
Ignoring the type of study: A survey of how students feel about AI tutors can't prove their grades went up. A trial that tracks test scores over a semester can. The study-type filter shows you which kind of evidence you're reading.
Consensus AI vs ChatGPT: what's the difference?
The biggest difference is that Consensus AI only answers from research papers it found, while ChatGPT answers from what it learned and from the web. Here's how the two compare side by side.
|
Consensus AI |
ChatGPT |
|
|---|---|---|
|
What it is |
A search engine for research papers |
A general AI chatbot made by OpenAI |
|
What it searches |
Over 200 million scientific papers, mostly peer-reviewed |
What it learned in training, plus websites when it searches the web |
|
Where answers come from |
Summaries of the top papers for your question |
Text the model writes, sometimes with web links |
|
Sources |
Every cited paper is a real study you can open |
May make up references that look real but don't exist |
|
Research tools |
Consensus Meter, Study Snapshots, and study-type filters |
Writing feedback, brainstorming, and explanations on any topic |
|
Best for |
Finding out what studies say about a question |
Understanding a hard idea, brainstorming questions, and fixing code |
You can use both, each for what it does best. For a class project, use ChatGPT to understand the topic and brainstorm questions, then Consensus to see what real studies say.
Is Consensus AI reliable?
Yes, Consensus AI is reliable for finding real research, but its summaries can still misread a paper. Consensus sorts AI mistakes into three kinds: fake sources, wrong facts with no source, and real papers summarized incorrectly. Because its AI only works on papers the search already found, Consensus says only the third kind can happen. It also uses "checker" models to confirm a paper is relevant before summarizing it.
Its search has limits too. The first search step only reads titles and abstracts, so a finding buried deep inside a paper can get missed. The library also holds some preprints, which are papers other experts haven't reviewed yet. So treat Consensus as the place to find sources, and the papers themselves as the place to check them.
FAQs
1. Is Consensus AI free?
Yes, you can use Consensus AI without paying, with monthly limits on its AI features. The free plan gives you unlimited Papers searches, 10 Pro messages, 3 Deep reviews, and 10 Study Snapshots each month. The Pro plan removes the Pro and Snapshot limits and adds 15 Deep reviews a month. It costs $20 a month, or $144 a year if you pay annually.
2. Who owns Consensus AI?
Consensus AI is owned by Consensus, a private company run by its co-founders, CEO Eric Olson and chief product officer Christian Salem. It has raised $45 million from investors, including Union Square Ventures, according to its About page.
3. What are good alternatives to Consensus AI?
Good alternatives to Consensus AI include Elicit, Semantic Scholar, and Google Scholar. Elicit is another AI research assistant that pulls details like sample size and findings from many papers into one table. Semantic Scholar adds one-line summaries to its search results and flags the citations that matter most. Google Scholar casts the widest net, including books and older research.
4. How to cite Consensus AI
To cite something you found on Consensus AI, you cite the original paper and its authors. Consensus is only where you found the study, so your citation lists the paper's authors, title, journal, and year. Check those details against the paper's own page before you hand anything in. If your teacher asks you to note which AI tools you used, add a short line saying you used Consensus to search for sources.
5. Can AI write a research paper?
AI can help you research and edit, but the question, method, and findings in a research paper need to be your own. Consensus's own writing guide says it won't write your literature review for you, since its job is finding and explaining sources. For the writing itself, these steps on how to write an AI research paper in high school walk you through each section. If you want to take your paper all the way to a journal, the AI Fellowship with Publication & Showcase at Veritas AI adds two sessions with a publication expert to your one-on-one mentoring. So far, 79% of Veritas AI student papers sent to peer-reviewed journals have been accepted, so getting published becomes a real possibility.
Where to learn more about Consensus AI
Consensus's own guides are the best place to keep learning. Here are a few worth bookmarking.
How to Search & Best Practices: Example searches, from simple questions to filtered ones.
How Consensus Works: Where the papers come from, how results get ranked, and how the AI is used.
Consensus Meter: Guardrails and Limitations: What the meter counts and what it can't tell you.
Introducing Deep Search: How Deep mode builds a literature-review-style report.
Consensus Help Center: Plans, limits, and answers to account questions.
If you want to keep going, you can also read about how to find AI research opportunities in high school. And if you'd like a second search tool beside Consensus, this guide to Semantic Scholar walks you through it step by step.
Start your own AI research with Veritas AI
If reading studies on Consensus makes you want to do your own research, Veritas AI can take you there. It has taught more than 3,200 students from 160+ countries. Its 200+ mentors from top universities and AI labs guide students to a real research project, and 79% of the papers they submit to peer-reviewed journals get accepted. You can compare its programs to find the right starting point for you.