You Think It's AI. They Say It's Human. Here's How to Tell If Something Is AI Generated.

Picture a content manager who just received a batch of blog posts from a freelance writer. Everything looks polished. Too polished, maybe. The structure is perfect, the transitions are smooth, and there isn't a single awkward sentence anywhere. Something feels off — but when they ask the writer, they get a firm denial.

This is the moment that sends people searching "is this AI generated." There are exactly two ways to try to answer it: run the text through a detector, or read it yourself. Both have real strengths. One edges ahead for most situations.

What Does "AI Generated" Actually Look Like to a Detector?

AI detectors measure predictability. Language models generate text by selecting statistically likely next words, which means AI output tends to follow low-variance patterns — uniform sentence rhythm, predictable transitions, and a consistent register throughout. Detectors identify these signatures and score how likely they are to reflect machine-generated text. To understand the full mechanism, see our breakdown of how AI detectors work.

What detectors cannot do: read purpose, context, or intent. That's the gap that manual reading fills.

Method 1: Running It Through an AI Detector

Best for: Speed, consistency, and volume. If you're reviewing multiple documents or need a documented result, a detector is the only practical starting point.

Paste the text in, get a verdict in seconds. Tools like WriteMask's free AI detector give you a clear read without requiring an account. The result is consistent — run the same text twice and get the same answer. That consistency matters if you need to show your reasoning later.

The limitation is real, though. Detectors flag formal writing, non-native speakers, and subject-matter experts who write in tight, structured prose. This is a documented problem worth knowing before acting on any score — AI detection false positives are more common than most reviewers expect. A high AI probability is a reason to look closer. Not a final answer.

Method 2: Reading It Yourself for AI Tells

Best for: Catching lightly edited AI text that detectors may miss, and adding the contextual judgment a score simply can't provide.

Experienced editors and instructors who read a lot of AI output describe a consistent texture to it. Here's what that texture actually consists of:

• Predictable structure, every time. Introduction, three organized points, conclusion — no tangents, no structural surprises, no paragraph that clearly ran away from the writer.
• No actual position. AI hedges. It "considers multiple perspectives" and "acknowledges nuance" rather than committing to a view. Real writers, even careful ones, tend to land somewhere.
• Generic examples. Ask a human about a topic they know and you get a specific reference. AI gives you the textbook version, smooth and sourceless.
• Assembled-sounding transitions. Phrases like "it is worth noting," "by understanding this we can better," and "in conclusion" appear at disproportionate rates in AI output. They're connective tissue, not thought.
• Zero stylistic drift. Human writing varies — tighter in the sections the writer knew cold, looser elsewhere. AI prose is unusually flat across an entire document from start to finish.

The limitation: a writer who actively edits AI output, strips the tells, and layers in specific references can fool the human eye just as reliably as a detector. Manual review works best when text is lightly modified, not carefully reworked.

Head-to-Head Comparison

Which Method Wins?

For most practical situations, the AI detector wins. It's faster, it scales, and it produces a result you can point to. Manual reading is a useful follow-up — not a replacement.

The smart workflow is sequential: run the detector first to flag anything that scores as likely AI, then apply a quick manual read to the flagged items. The detector catches obvious cases. Your eyes catch the ones that were edited just enough to lower the score but not enough to read like a real person wrote them. Neither step alone gives you the full picture.

If You're On the Other Side of This Question

Say you wrote something yourself and someone is now questioning it. A detector score alone is not a verdict — tools regularly flag legitimate human writing, and a single result from a single tool is not considered conclusive in academic or professional settings.

If you're pre-checking your own work before submission, WriteMask adjusts the statistical patterns that detectors target, achieving a 93% pass rate, without altering your meaning or argument. And if you've already been accused, see our guide on how to prove your essay is human: documentation of your drafting process carries far more weight than any counter-argument about how detectors work.

The question "is this AI generated?" deserves more than a single score. Use both tools, understand their limits, and act on evidence.