AI detectors analyze writing patterns using machine learning models which are trained on both human and ai generated text. They look for factors like predictability, sentence structure, and probability distributions (often called perplexity and burstiness). Quetext and similar tools go a step further. It combines contextual analysis with different signals to help with reliable ai detection.
For a deeper breakdown, see how do AI detectors work and can they be trusted.