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.
Three distinct questions
Begin with the decision you actually need to make.
Each guide owns a separate search intent, then links to the others where the questions overlap.
Read guide
Comparison guide15 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 guide15 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.
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.