AI-Powered Manuscript Review
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Six specialist AI reviewers analyze your manuscript for theory, methods, contribution, writing, grammar, and journal fit — so you can submit with confidence.
Starting at $4.99. No account required.
Built for researchers like you
You know your research is solid, but you're not sure the manuscript does it justice. You wish you had a colleague to read it over, but everyone's busy. ManuscriptRx gives you that thorough, constructive read — in minutes, not weeks.
Pressed for time?
Get a full six-reviewer assessment in minutes instead of waiting weeks for a colleague to find time.
Low on confidence?
See exactly where your manuscript is strong and where it needs work before a real reviewer does.
New to publishing?
Learn what reviewers look for across theory, methods, writing, and journal fit — all in one report.
See what you get
Excerpt from a real ManuscriptRx report on a working paper in operations management. Author identifying details have been removed.
Theory (6/10)
The theoretical framing draws on Resource Dependence Theory but stops short of articulating the boundary conditions. The link between supplier concentration and reverse-logistics performance is asserted (p. 4) rather than derived. Consider adding one paragraph that names the moderating variables your model implicitly assumes.
Methods (5/10)
Identification rests on a fixed-effects panel with no instrument. Reviewers in this field will press on omitted-variable bias from unobserved supplier capability. Two paths forward: (1) add a two-stage least squares specification using regional supplier density as an instrument; (2) report a Oster (2019) bound to quantify selection on unobservables.
Editorial (7/10)
Strong fit for JBL or Transportation Research E; marginal for JOM at this length. Title is informative but front-loads the method, not the contribution. Suggested rewrite: “When supplier concentration backfires: evidence from reverse-logistics performance in U.S. retail.”
Plus everything below — included with every review:
- • Desk-reject risk score (0–100)
- • “What Reviewers Will Ask” question list
- • Compliance checklist (CONSORT, PRISMA, STROBE)
- • Readability metrics with section-level flags
- • Journal recommendations with fit scores
- • Abstract reframings (3 alternatives)
How it works
Four steps to better feedback.
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Review
Get detailed feedback from 6 specialist reviewers in minutes.
Six specialist reviewers
Each reviewer focuses on a different dimension of your manuscript.
Theory & Framing
Evaluates theoretical contribution, literature positioning, and conceptual clarity
Methods & Analysis
Evaluates research design, methodology rigor, and analytical approach
Contribution & Impact
Evaluates novelty, significance, and practical implications
Writing & Structure
Evaluates clarity, organization, flow, and academic writing quality
Language & Grammar
Evaluates grammar, word choice, tone, and language precision
Editorial Fit
Evaluates journal fit, ethical compliance, and publication readiness
Choose your review tone
Need encouragement? Want brutal honesty? You decide.
Friendly
"Your theoretical framing shows real promise. You might consider strengthening the link between X and Y — a small adjustment that could make the argument even more compelling."
Constructive
"The theoretical framing is adequate but would benefit from a clearer articulation of the mechanism linking X to Y. The authors should revisit Section 2.1 to address this gap."
Hostile
"The authors fail to establish a convincing theoretical mechanism. The leap from X to Y is unsupported by the cited literature and represents a fundamental weakness of the manuscript."
Simple, transparent pricing
Pay per review. No subscription required.
Quick Review
Ideal for short papers, conference submissions, or a fast sanity check.
- Up to 10 pages
- 6 specialist reviewers
- Compliance checklist
- Readability metrics
- Desk-reject risk score
- "What Reviewers Will Ask"
- Confidence scores
- PDF export
Standard Review
Full journal-length manuscripts. Our most popular tier.
- Up to 30 pages
- 6 specialist reviewers
- Compliance checklist
- Readability metrics
- Desk-reject risk score
- "What Reviewers Will Ask"
- Confidence scores
- Suggested reading list
- Journal recommendations
- Abstract feedback
- PDF export
Deep Review
Dissertations, book chapters, or extra-long manuscripts.
- Up to 75 pages
- 6 specialist reviewers
- Compliance checklist
- Readability metrics
- Desk-reject risk score
- "What Reviewers Will Ask"
- Confidence scores
- Suggested reading list
- Journal recommendations
- Abstract feedback
- Revision comparison
- Review history timeline
- Priority processing
- PDF export
Optional Add-Ons
Enhance any review with additional analysis. Only pay for what you need.
Citation Verification
Verify every reference against OpenAlex & Semantic Scholar. Flag missing, retracted, or misattributed citations.
Figure & Table Analysis
AI vision analysis of charts, tables, and figures for clarity, labeling, and accessibility.
Claim-Evidence Mapping
Map every major claim to its supporting evidence. Flag unsupported or weakly supported assertions.
Word Track Changes Export
Download the review as a .docx file with feedback inserted as Track Changes comments.
Reviewer Match
Identify the 5 most likely reviewers from your target journal's editorial board based on research profile overlap.
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Frequently asked questions
- Is this a replacement for peer review?
- No. ManuscriptRx is a pre-submission tool designed to help you strengthen your manuscript before it goes to a journal. Think of it as a knowledgeable colleague who always has time to read your draft.
- How does the AI know my discipline?
- You select your discipline during setup. Each reviewer agent is calibrated with knowledge of your field's methodological norms, theoretical frameworks, writing conventions, and journal expectations.
- Will the AI rewrite my paper?
- No. ManuscriptRx provides actionable feedback only — it tells you what to improve and why, but never rewrites your prose. The ideas and words remain entirely yours.
- Is my manuscript kept private?
- Yes. Your manuscript file is deleted from our servers after the review is generated; only the AI-produced review is retained, and only on your account. We do not sell or share your manuscript, and Anthropic's API does not use it to train models. Author-blind mode (on by default) strips author names and affiliations before sending text to the AI.
- What does "Hostile" tone mean?
- It simulates the toughest possible reviewer (yes, Reviewer 2). It's blunt and demanding — but always professional. Choose this if you want to stress-test your manuscript before facing real reviewers.
- Can I resubmit after making revisions?
- Yes! Deep Review tier includes revision comparison — resubmit your revised manuscript and get targeted feedback on what improved and what still needs work.
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