Grammarly's AI detection, explained
Updated June 10, 2026
Grammarly sits inside the writing process itself — which makes its move into AI detection and authorship tracking different in kind from paste-in checkers. Here's what it sees, who sees it, and how to keep your text reading like you.
Detection plus authorship
Grammarly offers two relevant things: a conventional AI detector (paste text, get a likely-AI percentage) and Authorship, which records how a document came together as you write — typed by hand, pasted from elsewhere, or generated by AI. Authorship is aimed squarely at the academic false-accusation problem: it lets a student prove their process, not just assert it.
That cuts both ways. Provenance tracking helps honest writers — and it makes "I pasted it from my notes" a checkable claim.
What its detector measures
The paste-in detector reads the same statistical fingerprint as everyone else: predictable word sequences and uniform sentence construction. Grammarly is unusually frank that detectors are fallible and shouldn't be sole evidence — a stance worth citing if you're ever falsely flagged.
Living with an editor that watches
- If you used AI assistance where it's allowed, humanize the draft in Humanize Studio so the final text carries your rhythm — facts stay verbatim.
- Verify with the built-in detector before submission or send.
- Where Authorship-style provenance is in play, transparency beats masking: keep drafts, cite AI help if your context requires disclosure.
- Use our false-positive guide if you're accused over work you actually wrote.
Our position
Humanize Studio is built for the same world Grammarly's Authorship anticipates: one where verification beats assertion. Humanize your text, see a real score, never have the text stored on our servers — and where disclosure rules exist, follow them. No tool changes what your institution or employer permits.