Low text variety: a weak AI-content signal
We measure sentence-length variation and vocabulary diversity as a weak AI-content signal — a nudge to review originality, never a verdict that content is AI-written.
What it means
A weak statistical signal: this page's sentences are unusually uniform in length and its vocabulary is comparatively repetitive. Machine-generated and templated text often looks this way — but so does plenty of legitimate writing. This is a probabilistic hint, never a verdict that the content is AI-written.
Why it matters
It matters only as a nudge. Google's concern is low-value, scaled, or unoriginal content regardless of how it was produced; uniform, low-diversity prose is sometimes a symptom of that. But AI detectors are genuinely unreliable — they misfire hardest on non-native-English and technical writing — so we deliberately treat this as advisory, cap it at a notice, and only raise it on longer English pages where two independent measures agree.
How to fix it
- Read the page and ask whether it says anything a reader couldn't get from ten other pages; add original insight, examples, or first-hand experience.
- Vary sentence structure and length so the writing has a natural rhythm.
- If the page is genuinely useful and original, you can safely ignore this signal — it is not evidence of a violation.
When it's not a problem
Ignore it for technical reference, specifications, non-native-English writing, or any page you know is original and human-reviewed — those legitimately produce uniform prose and are the documented false-positive cases.
How common is it?
85 audited sites in our corpus currently show this issue. The breakdowns below show which platforms, gatekeepers, verticals and countries are most exposed.
Audit your own site — free
157 checks, internal PageRank, render-diff. No signup, results in ~30s.