Understand AI and plagiarism detection
Plain-language guides written for educators, institutions, researchers and writers, so a result is read with evidence and care, never on a score alone.
AI Detection
What AI detection can and cannot tell you, and how reviewers should use a score responsibly.
Read the guide → AI detectionHow Do AI Detectors Work?
Perplexity, burstiness, token probabilities and classifiers explained in plain language.
Read the guide → AI detectionAI Detection Accuracy
False positives, false negatives, AI-assisted writing and how to read accuracy claims.
Read the guide → ResearchAI Detection Test and Research
Our testing method, model comparisons, writing conditions and results, with the limits stated.
Read the guide → PlagiarismPlagiarism Detection
Why similarity is not the same as plagiarism, and how to read a similarity report.
Read the guide → PlagiarismPlagiarism Detection vs AI Detection
Two different technologies: what each one detects and how educators should use them.
Read the guide →Latest test results
50% of the text was AI-written. How much did Verifick.com detect?
We tested 10 AI models using documents containing exactly 50% human-written text and 50% AI-generated text. The results : • Actual AI-generated text: 50% in every…
Read the test → Test resultVerifick.com AI Detection Test: How Did It Perform Across Leading AI Models?
We tested Verifick.com using approximately 1,000-word outputs generated by five popular AI models. ChatGPT 1,237 words | 95% AI Probability Claude 1,018 words | 96% AI…
Read the test →