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AI Content Review and Editing

AI-Assisted Manuscript Editing

Pubrica provides AI-assisted manuscript editing for researchers whose drafts were written or heavily edited with AI tools. Our subject matter editors verify every citation against the source record, correct claims that go beyond the data, check the methods against the study you conducted and restore your own voice. You receive the edited manuscript, a list of any unverifiable references and a disclosure statement drafted to your journal’s requirements.

  • Every citation verified against the source record, because plausible references that do not exist are the most common failure and reviewers check them
  • Overstated claims corrected to match what your data supports, because language models tend to write with unwarranted certainty
  • Methods checked against what you did, because generated methods text describes a standard version of your study rather than the study you conducted
  • Your own voice restored, because homogenised prose is increasingly recognisable and prompts reviewers to look more closely
  • Disclosure statement drafted, as ICMJE requires; AI cannot be an author
What AI-assisted editing covers What it does not cover

Citation verificationIncluded

Claim strength correctedIncluded

Methods checked against your studyIncluded

Disclosure statement draftedIncluded

Concealing that AI was usedNot offered

Draft → verified → corrected → restored → disclosed

Included with every manuscript
  • Every citation checked against the record
  • Claims matched to your data
  • Methods checked against what you did
  • Your own voice restored
  • Disclosure written, never hidden
Quoted per manuscriptBased on length and citation count
Citation-by-citationVerified, not sampled
ICMJE disclosureAI use declared, AI never an author
ISO 9001:2015Quality management certified · cert. H3CR9TCU20251212INDQM10N

Deliverables

Four Components of AI-Assisted Manuscript Editing

Each manuscript is edited against the study it reports, so the text claims only what the study supports.

Citations verified one by one Every reference is checked, not a sample. Generated references are often plausible and correctly formatted but wrong, citing a real author and a real journal for a paper that does not exist.

Example verificationSmith J et al. Title. J Example. 2021;18(4):332-41.Author real, journal real, volume real, article not found in any source record. One of four unverifiable references in this manuscript. All four removed and replaced with real support.

Claims corrected to match the data Language models write confidently by default, using “demonstrates”, “establishes” and “confirms” where “suggests” or “is consistent with” is what the study supports.

Example editThese results demonstrate that the intervention improves outcomes.These results are consistent with an improvement in 30-day readmission in this setting. The study was not designed to establish a mechanism.

Methods checked against your actual study Generated methods text describes a textbook version of the study design. It reads correctly but often does not match what you did.

Example methods checkThe most serious mismatches are an analysis described but never run, or a sampling approach that differs from the one used. Reviewers who check the numbers will find them.

Disclosure statement drafting ICMJE requires disclosure of AI use in manuscript preparation and does not permit AI as an author. Journals vary in where they want it and how specific it has to be.

Why disclosure mattersDisclosure of AI use is routine. Undisclosed use that is later discovered becomes a research integrity case, so concealment is never the better option.

The samples shown are illustrative and anonymised. Hover over a sample to replay it.

Compliance and Standards

ICMJE, COPE, Journal AI Policies and ISO 9001:2015 Standards

Where a journal has an AI policy, that policy governs, and most journals now have one.

ICMJE Recommendations (authorship and disclosure)

Sets authorship criteria and declarations, and requires disclosure of AI tools used in manuscript preparation. AI cannot be an author.

COPE (Committee on Publication Ethics)

Sets the standards a journal applies to authorship, disclosure and representation, including what may be claimed about a paper.

AIpolicies

Journal AI policies (disclosure requirements)

Specify where the disclosure goes, how specific it must be and what use is permitted. These policies vary and are enforced.

ISO9001:2015

Quality management (cert. H3CR9TCU20251212INDQM10N)

Pubrica’s quality management system, certified to ISO 9001:2015, governs how each project is run, recorded and released.

Responsible Use of AI

Responsible Use of AI in Editing, with Transparent Disclosure

In editing, the difference between improving a sentence and writing it is the difference between an editor and an author. Journals permit assistance but prohibit undisclosed assistance, and several now ask authors about it directly.

How We Use AI ToolsWe use AI tools to check the consistency of terminology, figures and cross-references across a manuscript, to check each reference against the record it cites, to reformat to a journal template, and to flag where the discussion claims more than the results support, for an editor to assess.
Where We Do Not Use AI ToolsWe do not use AI tools to rewrite your argument, to generate text that becomes part of the manuscript, or to release a translation without review by a subject specialist. We also do not provide AI-detection scores, because no tool can produce them reliably.
What Your AI Declaration Should IncludeYour declaration should name the tool, the stage at which it was used and the human oversight applied. Journals, funders, regulators and the ICMJE January 2026 update now expect this, and an undeclared tool found later is treated as an integrity matter.

Why We Do Not Publish an AI Accuracy Figure

Accuracy figures for AI tools are usually reported by the companies that sell them.

Pubrica therefore does not quote a self-generated accuracy figure, because it would carry the same conflict of interest. Instead, we tell you which tool was used on your project, at which stage, and what a specialist changed afterwards.

How It Works

How an AI-Assisted Editing Project Works

We verify the facts first. Once the citations, claims and methods are sound, the remaining work is standard editing.

Step one

Citation verification

We check every reference against source records. Unverifiable references are listed rather than silently deleted, so you know which ones need to be replaced.

Step two

Claim and method audit

We compare the strength of each claim with the data, and the described methods with what you did.

Step three

Editing and voice

We carry out substantive editing and replace the homogenised register with prose that reads as written by the researchers who did the work.

Step four

Disclosure

We draft the disclosure statement to your journal’s policy, in the place and form it requires.

Our Experts

Our AI-Assisted Editing Team

A named team of subject specialists stays with your project from scoping to delivery. Your project coordinator introduces each team member by name before work begins.

Subject matter expertClinical or scientific expert matched to your topic

Reviews the scientific content for accuracy and confirms that each conclusion is supported by the evidence. Each expert is matched to your field of research.

OwnsScientific accuracy and interpretation
Reviews againstThe journal's instructions and reporting guideline
FieldMatched to your topic
Senior editorEdits for language, structure and consistency

Edits for clarity, grammar, structure and consistency while preserving the author voice and scientific meaning.

OwnsLanguage, structure and consistency
Reviews againstThe journal style and a project style sheet
OutputTracked-changes manuscript
Second reviewerIndependent quality check before delivery

Checks the finished work independently against the agreed scope and the applicable checklist. Findings are logged and resolved before delivery.

OwnsIndependent quality control
Reviews againstThe agreed scope and checklist
Signed off byProject lead
Project coordinatorYour single point of contact

Manages the timeline, keeps you informed at each stage and coordinates the team so that questions are answered and deadlines are met.

OwnsTimeline and communication
Reviews againstYour brief and deadline
OutputDelivery and follow-up

Packages

AI-Assisted Editing Packages

The cost depends on the manuscript’s length, the number of citations and how much of the draft was generated.

Audit

Verification audit

Establishes the current state of the draft

Quoted per projectBased on length and citation count

Delivery Quoted by scope

  • ✓Every citation verified against source records
  • ✓Unverifiable references listed
  • ✓Overstated claims identified
  • ✓Method-to-study mismatches flagged
  • ✓Findings report with severity

Costs less than a full edit and shows whether one is needed.

Deliverables Request a quote
Full

Audit and edit

For manuscripts going to submission

Quoted per projectBased on length and extent of rework

Delivery Quoted by scope

  • ✓Everything in the audit
  • ✓Claims corrected to what the data supports
  • ✓Methods corrected against your study
  • ✓Substantive language edit, voice restored
  • ✓Disclosure statement drafted
  • ✓Two revision rounds

Where citations have to be replaced rather than corrected, a literature search may be quoted alongside.

Deliverables Request a quote

Send your manuscript and we will verify ten citations free of charge. If any of them do not resolve, the manuscript needs this service before submission.

FAQs

AI-Assisted Manuscript Editing FAQs

If your question is not answered here, ask an expert. No quote is required.

Journal policies vary, but the dominant position is that AI may assist with preparation provided the use is disclosed and the authors take full responsibility for the content. AI cannot be an author.

Undisclosed use and unverified content are not acceptable. Unverified content is the greater risk, because fluent text conceals factual errors more effectively than poorly written text.

No. Undisclosed use that is later discovered becomes a research integrity case, which stays attached to the paper permanently.

Disclosure is routine and rarely counts against a paper. Concealment is what causes harm.

Citations that do not exist, or that exist but do not support the statement they are cited for. They are correctly formatted and plausible, which is why they often remain undetected until submission.

The next most common are claims stated more strongly than the data supports and methods text that describes a standard version of the study rather than the study conducted.

Detection tells you a draft was probably AI-assisted. It does not tell you which citation is invented or which claim is overstated.

This service corrects the problems: it verifies citations, claims and methods and fixes them. Detection is available through our plagiarism and AI screening service.

Related Services

Related Editing and Publication Support Services

Screening identifies AI-generated content, editing corrects it and pre-submission checks confirm the manuscript is ready.

Request a Free Ten-Citation Verification Check

If any of the citations do not resolve, you can correct them before submission rather than after a reviewer finds them.

Get a free quote

Regulations

Check your project against this rule

  1. 1Your work
  2. 2Your details
  3. 3Send
What do you need?

Material you send is held under signed confidentiality, with access limited to the assigned team and encrypted transfer. It is not used to train anything and is not passed to third-party tools. Ask for the agreement before you send anything you would rather cover first.