A user types a scientific or factual question into the search bar. The engine retrieves relevant peer-reviewed papers from its database. It then uses language models to extract the specific conclusions from those papers related directly to the user's query. It generates a top-level summary paragraph citing multiple papers, displays the Consensus Meter (e.g., 70% Yes, 20% No, 10% Unsure), and lists the individual source papers below with the extracted, highlighted relevant quote from each abstract.
Consensus
Consensus is an AI-powered search engine explicitly designed for academic research. Unlike general search engines like Google that index the entire internet—and thus return blogs, opinion pieces, and SEO spam—Consensus exclusively searches a large-scale database of peer-reviewed scientific papers.
Its primary function is to answer questions by surfacing direct evidence. When a user queries a topic (e.g., "Does creatine improve cognitive function?"), Consensus deploys large language models to read the abstracts and findings of thousands of relevant papers, synthesizing a direct answer and displaying a "Consensus Meter" that visually aggregates whether the scientific literature leans yes, no, or possibly.
It is widely adopted by academics, medical professionals, students, and fact-checkers who need to quickly ascertain the scientific consensus on a topic without manually reading dozens of dense academic abstracts.
Best For
- Academics and graduate students
- Medical and science journalists
- Fact-checkers and researchers
- Anyone seeking evidence-backed answers over internet opinions
How It Works
Key Features
Features
- Exclusive peer-reviewed database
- Natural language question answering
- Consensus Meter aggregation
- AI-generated summary paragraphs
Features
- Direct citation extraction
- Filters for human/animal trials
- Study design indicators (e.g., Meta-Analysis)
- Integration with Copilot for document writing
Pros & Cons
Pros
- Eliminates SEO spam and opinion blogs entirely from search results
- The Consensus Meter provides an highly fast visual gut-check on a topic
- Extracts the exact relevant sentence from dense abstracts, saving hours of reading time
- High reliability due to exclusive sourcing from Semantic Scholar's database
Cons
- Cannot answer questions outside of published scientific literature
- AI syntheses can sometimes misinterpret deeply nuanced or highly conflicting data
- Requires a premium subscription for unlimited AI summaries
- Focuses heavily on abstracts rather than full-text deep reading (like Elicit)
Pricing
Consensus offers a free tier with unlimited basic searches but strict limits on "AI Summaries" and the "Consensus Meter" features. The Premium subscription provides unlimited AI features, advanced study filters, and bookmarking capabilities. There are specific discounts for students and academic institutions.
How It Compares
Consensus competes most directly with Elicit, Perplexity, and Google Scholar. Google Scholar is a large-scale database but lacks AI synthesis entirely, requiring manual reading. Perplexity is a fantastic general web search engine, but its Pro Search still occasionally pulls from non-peer-reviewed sources. Elicit is more complex, designed for deep methodological data extraction across columns. Consensus distinguishes itself as the established fastest, most user-friendly way to get a yes/no/maybe answer directly from peer-reviewed science.