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AnswerThis vs Scite

AnswerThisScite

Bottom line: AnswerThis for researchers; Scite for academic researchers running rigorous literature reviews.

AnswerThisAnswerThis

YC-backed AI research assistant for citation-backed literature reviews

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SciteScite

Scite is a research platform that analyzes how scientific papers cite each other, showing whether findings have been supported or contradicted by later research

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Votes00
PricingFreemiumFreemium
CategoryResearchResearch
Tags
research assistantliterature reviewacademiccitationssemantic search
do-researchanalyze-data
Best for
  • researchers
  • PhD students
  • academics
  • Academic researchers running rigorous literature reviews
  • Graduate students and PhD candidates evaluating sources
  • Clinicians and medical researchers needing evidence-backed answers
Pros
  • Access to 300M+ research papers
  • Line-by-line citation-backed drafting
  • Citation maps built into the tool
  • Affordable Pro and researcher tiers
  • Free Starter plan to begin
  • Smart Citations go far beyond raw citation counts by classifying each citation as supporting, contrasting, or mentioning, and showing the surrounding sentence, which gives a genuinely more useful read on how well a claim has held up.
  • Direct licensing agreements with Wiley, SAGE, and 40+ other publishers let Scite search inside full-text articles rather than guessing from abstracts, reaching content that paywall-limited tools cannot.
  • The AI assistant is built for verification: every claim links back to the exact sentence in the exact paper, making answers something you can actually cite rather than trust blindly.
  • Coverage extends beyond journal articles to preprints, patents, clinical trials, grants, and datasets, so an idea can be traced from funded proposal to publication to application.
  • It fits into existing workflows through Zotero, a browser extension, and MCP connectors for Claude, ChatGPT, and other assistants, plus an API for teams building their own tooling.
Cons
  • Citations still require manual verification
  • No public API
  • Narrower than all-in-one research suites
  • No mobile app
  • Depth of writing tools is evolving
  • Pricing scales quickly for deeper needs: unlocking patents, clinical trials, grants, and larger collections requires the Pro tier or higher, and MCP usage is metered by monthly credits that can constrain heavy users.
  • API access, SSO, and regulatory/safety datasets are gated behind Enterprise plans, putting some of the most powerful capabilities out of reach for individuals and small teams.
  • The citation-classification model is powerful but not infallible; occasional misclassifications mean users should still spot-check how a given citation was labeled.
  • Its value is concentrated in scholarly and scientific literature, so it's less useful for research questions that live outside the peer-reviewed record.

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