Scite
See whether citations support, mention or contradict a paper
Our verdict
A sharper citation tool than Google Scholar, but you will feel the paywall during long sessions.
Scite reads citation contexts from millions of articles and labels each one as supporting, mentioning or contrasting — a far more useful signal than a raw citation count. It is the fastest way to see if a finding has held up, though serious use lands behind the paywall.
How we scored it
What we liked
- ✓Supporting/contrasting citation labels
- ✓Smart citation summaries
- ✓Browser extension
What to watch
- ✕Coverage strongest in STEM and medicine
- ✕Free tier runs out quickly
Key features
- ◆Citation statements
- ◆Supporting/contrasting labels
- ◆Smart Citations
- ◆Reference check
- ◆Browser extension
Best for
Alternatives to Scite
Perplexity
AI search that answers with citations you can actually check
Perplexity searches the live web and writes an answer with every claim linked to its source, so follow-ups stay grounded in what's actually online. Pro unlocks stronger models and longer Deep Research reports, but the free tier already covers most day-to-day questions.
NotebookLM
Grounded AI notebook that answers only from your own sources
NotebookLM loads your documents, sites, videos and slides into a model that answers strictly from them, with every sentence linked back to the passage it came from. Audio Overviews turn a stack of papers into a podcast-style discussion, which is genuinely good for skimming.
Elicit
Literature-review assistant that screens papers into structured tables
Elicit reads academic papers and pulls methods, sample sizes and findings into a sortable table, which makes screening hundreds of titles for a review dramatically faster. It works on peer-reviewed corpora, so it is the wrong tool for general web questions.
Consensus
Ask a research question, get an evidence-backed yes or no
Consensus turns a question into a synthesis of what peer-reviewed studies conclude, with a consensus meter and quotes from each paper. It is built for answerable claims ('does X work?'), not open-ended exploration.