Litmaps vs Scite.ai (2026)

Litmaps

by Litmaps

Scite.ai

by Scite

Pros

• ✓Every plan, including Free, includes literature alerts, so a map keeps surfacing newly published papers after the first search is done.
• ✓Pro has an education rate of $10 per month billed annually, a quarter of the commercial rate, and country-based discounts cover more than 100 countries.
• ✓Two-way Zotero sync on Pro, plus BibTeX, RIS and PubMed import and BibTeX, RIS and CSV export, fit Litmaps into an existing reference workflow.

Limitations

• –Litmaps finds and maps papers but does not write summaries or extract data from them, so reading and synthesis happen in another tool.
• –Free alerts run monthly on the default algorithm only. Weekly alerts, algorithm choice, filters and Zotero sync all require a Pro plan.
• –Team and Enterprise prices are not published, Litmaps documents no public API, and its MCP server is in beta, with most assistants adding it manually as a custom connector.

Pros

• ✓Smart Citations show whether later papers support, contrast or mention a finding, which a citation count alone cannot tell you.
• ✓An official MCP server gives ChatGPT, Claude, Gemini and Copilot access to Smart Citations and full-text literature, with OAuth sign-in.
• ✓Full text from agreements with more than 44 publishers, and Scite's terms say customer data is not used to train AI systems.
• ✓Collections hold papers, notes and uploaded files, and AI assistants connected through MCP can save summaries, tables and drafts straight to them.

Limitations

• –There is no free plan: the Assistant, Search and MCP all need a paid plan or the 7-day trial, and team seats are paid from day one with no trial.
• –Built for checking citations rather than running open-ended literature reviews or extracting data across many studies.
• –MCP use is capped by monthly credits (250 on Basic, 2,500 on Pro), and API access starts on Pro.
• –The rebuilt Assistant with clinical trial, drug label and device data is still a preview that has not reached institutional accounts, and the FAERS, MAUDE and FDA 510(k) datasets are Enterprise-only.