How AI Detectors Actually Work in 2026 (Perplexity, Burstiness & More)
A clear technical breakdown of how AI detectors like GPTZero and Originality.ai detect AI-generated text in 2026 — perplexity, burstiness, and the limits of detection.
Published 2026-03-30 · 8 min read · Guides
AI detectors aren't magic — they're statistical classifiers. Here's exactly what they measure as of 2026.
Perplexity
Perplexity measures how "surprised" a language model is by each word in a text. AI-generated text tends to choose the most probable next word, producing low perplexity. Human writing uses unexpected word choices more often, producing higher perplexity.
Burstiness
Burstiness is the variation in sentence length and complexity. Humans naturally produce a mix of short punchy sentences and longer, more complex ones. AI defaults to a uniform medium length unless prompted otherwise.
Stylometric fingerprints
Detectors also look at:
- Function-word ratios (the, of, and, to)
- Bigram and trigram patterns
- Punctuation rhythm
- Common AI "tells" like "moreover", "delve", "tapestry"
Why detection isn't reliable
Modern AI can be prompted to vary perplexity, burstiness, and stylometry — which is exactly what humanizers do. Detection accuracy drops significantly on humanized text, and detectors openly state they should not be used as the sole basis for academic punishment.
The takeaway
If you understand what detectors measure, you can write (or humanize) text that scores naturally. Try our humanizer →