AI Review
ReviewerZero's AI Review is a purpose-built system that delivers structured peer-review feedback before you submit to a journal. Unlike generic AI assistants, our models are fine-tuned on scholarly content and actual peer reviews, providing appropriately critical feedback that helps improve your manuscript.
AI Review Overview
Why AI Review?
The peer review system is under strain. According to a 2018 global survey:
- 42% of scholars feel overcommitted to review requests
- 70% decline review invitations outside their expertise
- Just 10% of reviewers handle almost half of all reviews
This imbalance leads to delays, inconsistent feedback quality, and the dreaded "Reviewer #2" experience. Our AI Review provides a "zero-th opinion" on your research—structured, actionable feedback before your manuscript reaches human reviewers.
Structured Review Report
Instead of a wall of vague criticism, our AI organizes feedback into clear, actionable sections:
Structured Review Summary
Major Issues
Deal-breakers that must be addressed before publication:
- Fundamental flaws in experimental design
- Unsupported conclusions
- Missing critical methodology details
- Data that doesn't support claims
Minor Issues
Important but often cosmetic improvements:
- Unclear figure legends
- Minor statistical reporting issues
- Grammar and clarity suggestions
- Formatting inconsistencies
Additional Comments
Helpful context and suggestions that strengthen the paper:
- Recommendations for additional analyses
- Suggestions for clarification
- References to related work
- Potential extensions of the research
Interactive Feedback
Each comment comes with its own interactive card where you can:
- Give a quick thumbs-up or thumbs-down
- Mark issues as resolved
- Track your progress addressing feedback
Complete all issues and you'll get a burst of on-screen confetti—a small celebration that traditional peer review rarely provides!
Getting Started
- Upload your manuscript (PDF format)
- Select "AI Review" from the analysis options
- Wait for processing (typically a few minutes)
- Review your structured feedback report
- Address issues and track your progress
Best Practices
Before Submission
- Run AI Review on your near-final draft
- Address major issues first
- Use the Replicability Prediction to strengthen your methods section
- Check Guideline Compliance for your target journal
Interpreting Feedback
- AI feedback is meant to assist, not replace human judgment
- Use feedback as a starting point for revision
- Consider whether critiques apply to your specific context
- Consult with co-authors on major methodological suggestions
Related Resources
- Replicability Prediction - Assess reproducibility likelihood
- Guideline Compliance - Check journal requirements
- Journal Recommendations - Find the right venue
- Statistical Checks - Verify your statistical reporting
- Citation Analysis - Ensure proper attribution
- Image Analysis - Check figure integrity