How to Spot AI-Generated Content Online
September 3, 2026
I read an article last month that ticked every box on this list — evenly spaced sections, a hedge for every claim, not a single opinion that actually landed anywhere — and that’s when it clicked that spotting AI content isn’t really about the words anymore. As it gets harder to tell AI-made work from human work at a glance, a few more reliable signals hold up better than the obvious ones people usually check first.
The Giveaway Is Structure, Not Any Single Sentence
Individual sentences from AI text can be indistinguishable from human writing, but default AI habits are more consistent at a structural level: a tendency toward evenly-weighted lists, restating the question before answering it, and a smoothed-out evenness in sentence length and rhythm across a whole piece. Genuinely human writing tends to be lumpier, with uneven pacing and asymmetric emphasis. There’s also a tell in tone: unedited AI writing defaults to hedged, both-sides framing even on questions where a real person would have a clear opinion. An article that carefully presents every side without ever landing anywhere is worth a second look, especially on a topic where a genuine expert would likely have a stronger point of view.
In Images, Check the Fiddly Details
Even strong image generators still show occasional tells in fine, structurally complex details: text within an image, the exact number and structure of fingers, and how reflections or shadows behave with the scene’s lighting. These aren’t foolproof, since newer models keep closing the gap, but they remain a reasonable starting checklist.
Detection Tools Are a Hint, Not a Verdict
AI content detection tools exist but are demonstrably unreliable, producing both false positives on human writing and false negatives on AI writing. Treat any single detector’s score as one weak signal to weigh alongside everything else, not a definitive verdict on its own.
Why I Bother With Any of This
Being able to reasonably assess whether content might be AI-generated matters for evaluating source credibility, spotting low-effort spam content, and generally calibrating how much trust to extend to something you’re reading — particularly on platforms where AI content isn’t clearly disclosed.