A convincing quotation can be invented. A clear explanation can contain the wrong figure. An AI-generated draft may look finished while hiding errors your reader cannot easily spot.
Review the substance before approving the prose. This guide takes you through purpose, structure, factual checks, source use and tone, then explains what AI detectors can and cannot tell you. Use it to decide what needs correcting, what needs a specialist’s input and whether the draft is ready to publish.
Start with intent, not detection
Before you try to detect AI-generated content, review the intent behind the draft. Ask:
- What problem is this content solving?
- Who is the target audience?
- How was AI used: for ideas, research assistance, drafting, or editing?
- What review and disclosure standards apply to this piece?
Review starts with understanding the writing process. Polished wording alone does not establish whether AI was used, and a detector score does not tell you whether the content is useful or accurate.
Review structure and clarity first
AI-generated writing can look structurally sound without being correct or useful. Check whether the draft follows a logical flow, each section answers a real question, and the content fits the page or channel where it will appear.
Read the introduction and headings together. Can a reader understand the main answer without working through unnecessary background? Remove sections that repeat the same point or exist only to make the article longer.
This catches low-value material early, before deeper checks. Clear structure and purpose matter whether the first draft was written by a person or generated with AI.
Check factual accuracy line by line
AI-generated text can contain confident errors. Verify factual claims against reliable sources, particularly claims that could affect a reader’s decisions or understanding.
Check names, dates, figures, quotations, product features, and references. Open cited sources and confirm that they actually support the sentence. An invented citation can look just as convincing as a real one.
Use primary sources where possible, such as original research, official documentation, or the organisation responsible for a product. If a claim cannot be verified, remove it or qualify it clearly. An AI detector cannot perform this editorial check for you.
For specialist topics, involve someone qualified to assess the substance rather than relying on a general editorial pass.
Review tone, originality, and value
Look for repetitive phrasing, vague statements, unsupported superlatives, and passages that restate common knowledge without helping the reader.
Ask what this piece contributes: an explanation, a useful example, an informed judgement, or first-hand experience. Add the context your organisation can provide instead of accepting generic wording because it sounds polished.
Check that the voice fits your audience and that the draft does not claim experience, results, or opinions that the named author cannot stand behind. Apply the same standard to human-written text.
Use AI detection tools carefully
AI detectors may be used as one input to a review process, but their results do not establish authorship. They can misidentify human-written text and miss AI-generated text.
Read the tool’s documentation before interpreting its score. A percentage may represent the proportion of qualifying text flagged by that system; it is not necessarily a probability that the author used AI. Turnitin’s own guidance distinguishes its AI writing percentage from its separate similarity score and warns against using detection alone for adverse decisions about students.
If your workflow includes detection:
- Treat a result as a prompt for further review, not proof.
- Ask for context and source material rather than making accusations.
- Do not assume that agreement between tools establishes certainty.
- Check the service’s data-handling terms before uploading confidential material.
The aim is to understand the work and improve it. Rewording a draft simply to lower a detector score does not make its claims more accurate.
Check attribution and source use separately
AI detection and plagiarism checking answer different questions. A draft can contain unattributed copying regardless of whether AI helped write it.
Where source overlap is a concern, a similarity checker can help identify passages to examine. Review the matches yourself: quoted and properly attributed material can produce a match, while a low similarity score does not prove that a draft is original or correctly referenced.
Check quotations, close paraphrases, and borrowed ideas against the original sources. Add attribution where needed and rewrite passages that reproduce another author’s wording too closely. Follow the publication’s own rules for research or academic work.
Review editing history and authorship context
Where available, drafts, notes, source lists, and version history can help explain how a piece developed. They can show which decisions were made and where a reviewer needs more context.
An editing history is supporting context rather than proof that a text is human-written. Ask who checked the claims, who approved the final version, and whether the named author is comfortable taking responsibility for it.
Keep important review decisions in one place so the next editor does not repeat the same checks or reintroduce a rejected claim.
Check policies, privacy, and disclosure
Check the rules of the organisation or publication receiving the work. Academic institutions, journals, clients, and internal teams may set different requirements for acceptable AI assistance and disclosure.
Confirm that the draft does not expose confidential information and that the tools used are appropriate for the material. Escalate questions about sensitive data or specialist publication requirements to the relevant owner.
Where disclosure is required, make it accurate about how AI was used. A disclosure does not remove the need to verify the finished content.
Optimise for readers and quality
Trying to “beat” AI detection tools is the wrong goal. Google’s guidance on generative AI content emphasises accuracy, quality, relevance, and manual review before publication. Generating large numbers of pages without adding value may violate its scaled content abuse policies.
Review the whole page, including its title, description, image descriptions, and any structured data. Those elements need to reflect the content just as carefully as the main text.
Focus on a clear answer, sound evidence, and a useful contribution. These are publishing standards, not a promise of a particular search ranking.
Use post-publication review to improve future drafts
Review does not stop at publication. Track reader feedback, corrections, and recurring problems alongside the outcomes that matter for the content.
If the same issues keep appearing, improve the brief, source material, writing preferences, or review checklist. Record the change so the lesson informs the next draft rather than staying in one editor’s inbox.
For a practical process, see how to reduce content rework across content operations.
Make review a repeatable process
A practical final check should confirm that:
- The piece answers the intended reader’s question.
- Claims and references have been checked.
- Attribution and source use are appropriate.
- The tone matches the author and organisation.
- Relevant policies and disclosure requirements have been considered.
- A named person has approved the final version and owns future corrections.
HelixScribe Create supports AI-assisted drafting with Brand DNA, a source library, document editing, and user-approved writing preferences. These provide context for the writing process; people remain responsible for checking sources, making editorial decisions, and approving what is published.
To explore how this could work for your business, visit the HelixScribe Create product page or contact Claire to discuss paid access and the current service arrangement.
The most useful review process treats AI as a writing aid while keeping people accountable for the finished work.
Further reading
Read Google’s guidance on generative AI content for its recommendations on quality and manual review.
See Turnitin’s guide to the AI Writing Report for the meaning and limitations of its scores.
