CoChat

AI research agents that check every citation before you use it

Beginner
Screenshot of CoChat, AI research agents that check every citation before you use it

What is CoChat?

CoChat is an academic research tool. A chat-based research workspace that searches academic literature, organizes sources, verifies citations against CrossRef and Semantic Scholar, and turns evidence into reviews, tables, flashcards, and slides. It also runs the same prompt across Claude, GPT, and Gemini for cross-checking.

CoChat is a research workspace built around a chat interface, but its defining feature is citation checking. You bring a question, upload files, attach notes, or search the web, and the assistant works across a library of sources instead of a single prompt. It searches a corpus of more than 200 million academic papers, saves what is relevant, and extracts the claims and findings that answer your question. The part that separates it from general chatbots is verification: every source and citation is tracked, cross-checked against platforms such as CrossRef and Semantic Scholar, and anything that cannot be matched is visibly flagged. The homepage cites a meta-analysis of 28 studies finding that 1 in 4 citations in published research misrepresents its source, which is the problem the product is positioned against. In practice the workflow runs from discovery to deliverable inside one conversation. You build a source library, import papers from Zotero, and pull evidence into cards. From there the material can become literature reviews, comparison tables, summaries, flashcards, diagrams, dashboards, slides, or exportable data. Because the source record follows the claim, an unverified blog post and a peer reviewed paper sit side by side but are marked differently. A shared conversation model lets an advisor, co-author, or study group join the same thread, pin decisions, and review drafts together. It also treats model choice as a verification step. The same question can be run through Claude, GPT, and Gemini at once, and the answers cross-referenced, which is useful when one model invents a citation detail and another gets it right. Scheduled agents add background monitoring: weekly digests, new-publication alerts, and citation updates on a schedule you set. The tool is aimed at graduate students, academics, and research teams who need defensible sources rather than fast prose. That makes it heavier than a summarizer and more focused than a general assistant. Discovery tools help you find papers, summarizers help you orient, and CoChat is built for the stage where accuracy cannot be traded away.

How do you use CoChat?

  1. 1Create an account without a card
    Sign up from the homepage. The free start option does not ask for payment details, so you can test the workflow before deciding on a plan.
    CoChat — Create an account without a card
  2. 2Ask your first research question
    Open a conversation and enter a research question in plain language. The assistant searches for relevant papers and returns findings with sources attached.
  3. 3Build a source library
    Save the papers that matter, upload your own files, and import references from Zotero so the assistant works from your collection rather than the open web.
  4. 4Review what verification flagged
    Check each source against the verification status shown. Claims that could not be matched to CrossRef or Semantic Scholar are highlighted and should be read before you cite them.
  5. 5Run the same prompt across models
    Send a sensitive question to Claude, GPT, and Gemini together, then compare answers. A detail that only one model reports is a prompt to check the original paper.
  6. 6Export a deliverable or set an agent
    Turn evidence into a table, literature review, flashcard set, or slide deck, then schedule an agent to watch for new publications and send a weekly summary.

Pros and cons

Pros

  • Citation verification is visible work, not a promise: unmatched sources are flagged in the interfaceAI
  • Searches 200M+ academic papers and imports from Zotero, with arXiv, PubMed, and Semantic Scholar in reachAI
  • Outputs go beyond chat, producing literature review tables, flashcards, diagrams, dashboards, and slidesAI
  • Side-by-side comparison of Claude, GPT, and Gemini helps catch fabricated details in any single modelAI
  • Shared conversations let advisors, co-authors, and study groups review sources and drafts in one placeAI

Cons

  • The homepage shows no pricing tiers, so cost has to be checked before committing a lab or class to itAI
  • Verification depends on matching records in CrossRef and Semantic Scholar, which leaves paywalled or non-indexed work in a grey zoneAI
  • There is no free tier detail beyond a no-card signup, and no stated limits on files, queries, or model accessAI
  • Scheduled agents and many of the listed integrations sit behind setup that a non-technical researcher may find fiddlyAI
  • The interface packs chat, libraries, outputs, and automation into one screen, which is a lot for occasional usersAI

How much does CoChat cost?

Free trial

The homepage offers a free start with no card required, and a separate option to try all models for free. Paid tiers and usage limits are not stated.

Learn more

Integrations

The site advertises 200+ integrations, naming arXiv, PubMed, Semantic Scholar, CrossRef, Zotero, Google Drive, Gmail, Notion, GitHub, Canva, WordPress, Atlassian, Supabase, and Context7 among the connected tools.

Features

Search across 200M+ academic papers, build a source library with Zotero import, extract claims and findings, and verify citations against CrossRef and Semantic Scholar with unmatched sources flagged. Outputs include literature reviews, comparison tables, summaries, flashcards, documents, diagrams, dashboards, and slides. Multi-model comparison runs one prompt through Claude, GPT, and Gemini, and scheduled agents handle monitoring and digests.

Frequently asked questions about CoChat

  • Does CoChat offer a free trial?
    The homepage offers a free start with no card required, and a separate option to try all models for free. Paid tiers and usage limits are not stated.
  • How do you use CoChat?
    The walkthrough on this page covers 6 steps: 1. Create an account without a card 2. Ask your first research question 3. Build a source library 4. Review what verification flagged 5. Run the same prompt across models 6. Export a deliverable or set an agent.
  • What platforms does CoChat support?
    CoChat is available on Web App.
  • What does CoChat integrate with?
    The site advertises 200+ integrations, naming arXiv, PubMed, Semantic Scholar, CrossRef, Zotero, Google Drive, Gmail, Notion, GitHub, Canva, WordPress, Atlassian, Supabase, and Context7 among the connected tools.
  • What are the limitations of CoChat?
    The homepage shows no pricing tiers, so cost has to be checked before committing a lab or class to it. Verification depends on matching records in CrossRef and Semantic Scholar, which leaves paywalled or non-indexed work in a grey zone. There is no free tier detail beyond a no-card signup, and no stated limits on files, queries, or model access.

Status

StatusActive
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Added11/3/2026

Platforms

Web App

Pricing

FreemiumFree Trial