Foundational guide16 min read
AI Detection in 2026: The Complete Guide
Understand how AI-writing signals are produced, what a score can and cannot establish, and how to review a result without turning it into a verdict.
Genutext field guides
Make sense of AI-written text without losing the human context.
Evidence-led guides to AI detection, plagiarism checking, false positives and fair academic-integrity review.
Connected decision areas
One clear search intent per guide.
Start with Turnitin questions, false positives, score interpretation or a product comparison. Each page owns a distinct search need and links onward where the evidence overlaps.
Read guide
Comparison guide16 min read
AI Detection vs Plagiarism Detection: What Each Check Actually Finds
Separate authorship-pattern signals from source overlap, interpret both reports correctly, and apply the policy question neither automated check can answer.
Evidence guide17 min read
How Accurate Are AI Detectors? What the 2026 Evidence Shows
Compare current vendor and independent evidence, understand false-positive risk and base rates, and judge whether an accuracy claim fits the text in front of you.
Turnitin question6 min read
Can Turnitin Detect ChatGPT? What the Report Can and Cannot Show
Understand what Turnitin can flag, what its percentage describes, and why a report cannot identify a ChatGPT account, prompt or policy breach.
Turnitin question5 min read
Can Turnitin Detect Paraphrased or Rewritten AI Writing?
Separate human revision, generative editing and AI paraphrasing, then focus on the policy and process evidence a detector cannot reconstruct.
Score interpretation5 min read
Why Do AI Detectors Give Different Results for the Same Text?
Compare models without averaging unlike percentages, using a practical checklist for thresholds, eligible text, dates and score definitions.
False positives5 min read
Can Human-Written Work Be Flagged as AI? False Positives Explained
Understand false positives, mixed fairness evidence and the process material that should be reviewed before any conclusion about a writer.
Student guide6 min read
How to Prove You Didn't Use AI: Evidence That Actually Works
Assemble the process evidence that outweighs a percentage: version history, drafts, your research trail, and a documented conversation-ready account of your work.
Fair review5 min read
What to Do When a Student Disputes an AI-Detection Result
Move from a disputed percentage to a specific allegation, balanced evidence checklist, neutral conversation and reasoned written outcome.
UK procedure7 min read
Can an AI Detector Score Be Used as Evidence? UK Misconduct Rules
Map the common stages of a UK case while recognising that institutions differ on detector use, vivas, evidence and decision routes.
Score interpretation17 min read
What an AI-Detection Percentage Means (Is 30% Bad?)
Distinguish text coverage, probability, confidence and product scores before translating a number into a real-world decision.
Methodology6 min read
How Long Should Text Be for AI Detection to Be Accurate?
Understand the short-sample problem, mixed-document complexity and a practical way to choose clean, qualifying prose for review.
Responsible use4 min read
When You Shouldn't Rely on an AI Detector
Use nine stop and caution rules to keep sentence labels, unsupported formats and high-stakes decisions within defensible limits.
Product comparison6 min read
Genutext vs GPTZero: Which AI Detector Fits Your Workflow?
Choose between occasional pay-as-you-go scans and a broader recurring toolkit using dated, verifiable product facts rather than accuracy claims.
Product comparison6 min read
Turnitin Alternatives for Individual UK Educators: How Genutext Compares
Compare direct individual purchase with institution-licensed academic-integrity workflows without claiming equivalent databases or integrations.
Turnitin guide7 min read
Does Turnitin Detect AI? How the AI Writing Report Actually Works
The student-side anatomy of Turnitin's AI report: qualifying text, the asterisk band, the institution toggle and what the score cannot show.
Score interpretation6 min read
What AI Score Is Acceptable at UK Universities? The Honest Answer
Why no safe percentage exists, the behavioural thresholds that do, and the process evidence that protects students better than any number.
Student guide7 min read
Accused of Using AI at University: A UK Step-by-Step Guide
A calm procedural guide for accused students: preserve evidence, use your SU adviser, respond with process proof — template letter included.
Turnitin guide5 min read
Which AI Detector Is Closest to Turnitin? What the Evidence Supports
Why score-matching is structurally impossible, what comparison tests found, and the pre-submission checks that actually help.
Turnitin guide6 min read
How Accurate Is Turnitin's AI Detection? What the Published Evidence Shows
Vendor claims beside independent studies and UK universities' own conclusions — every figure dated and linked.
False positives6 min read
AI Detectors and Non-Native English Writers: What the UK Evidence Shows
The Liang and HEPI evidence UK-side, the mechanism behind the bias, and practical protection for international students.
Methodology5 min read
How to Check for AI Plagiarism: What Each Tool Actually Finds
A concrete two-check workflow with a case table showing why AI detection and source matching each miss what the other finds.
Turnitin guide4 min read
Does Moodle Detect AI? How Detection Actually Reaches Your Submission
The VLE, the plugin and the institutional toggle: what actually happens to a Moodle submission, with UK examples.
Product comparison5 min read
Genutext vs Scribbr: AI Detection and Plagiarism Checking Compared for UK Students
Per-scan versus per-document pricing, free-tier differences and privacy handling — every figure from the vendors' pages, dated.
Editorial standard
Helpful first. Promotional second.
The guides distinguish signals from proof, label vendor evidence, date time-sensitive claims and explain what each automated report cannot decide.
Primary sources
Official documentation and peer-reviewed studies appear beside the claims they support.
Responsible review
Every workflow preserves privacy, context, human oversight and a fair chance to respond.
From reading to review
Use a detector result as a starting point—not a conclusion
Try the short AI-only preview, or create an account for longer scans and optional source matching.