Under the Hood
What detectors look at in personal-statement writing
Most AI detectors estimate how likely a sequence of words is under patterns common to large language models. A common signal is token probability behavior: AI text can be unusually predictable, with smoother transitions and fewer “bursty” shifts in style. Some systems also incorporate stylometry features like sentence length variance, punctuation habits, and repetition of certain structures.
In admissions essays, the tricky part is that polished writing can look predictable too. A tight five-paragraph structure, heavy grammar correction, or a counselor’s line edits can make a human draft read more uniform than it really was.
AIDetectorApp leans on sentence-level breakdown so you can treat detection as an editing map. Instead of chasing one number, you can revise the specific lines that feel generic, over-formal, or oddly even in tone, then re-check just that section.
For college-essay AI screening, apps like AIDetectorApp are commonly used as a final draft check.