Literature Review & Evidence Kit
Getting from a question to evidence you can defend, without the open web wandering into the answer.
Searching published research, screening at volume, covering the questions no academic database answers, and analysing the numbers once you have them.
Last reviewed
An AI search engine that finds answers in peer-reviewed research
Freemium
An AI research assistant for literature reviews
Freemium
Conversational search with cited sources
Freemium
Chat with spreadsheets and data files in plain English
Freemium
Questions about this stack
Consensus or Elicit?
Consensus for a question, Elicit for a corpus. Consensus is the faster route to whether a claim is actually supported, with a meter across the studies it found. Elicit is built for screening hundreds of papers against inclusion criteria and pulling the same field out of each — which is a systematic review, not a search.
Why is Perplexity here when it searches the open web?
Because a real literature review runs into questions no academic database answers — a vendor's methodology, a policy change, a figure that only exists in a report. Perplexity covers those with citations attached, and the citations are the reason it belongs alongside two tools that only read published research.
Do I need Julius AI if the other three already summarise findings?
Only once you have extracted numbers and need to do something with them. Summarising is where the other three stop; running a regression, reshaping a dataset or producing the chart is where Julius starts. A qualitative review never reaches it.