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?
4 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
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