How to tell if AI wrote it

There’s a skill that didn’t exist five years ago and is now quietly essential: recognizing AI-generated writing on sight.

Not because AI tools are always bad, or because everything they produce is worthless. But because your audience has this skill, they’re developing it faster than most organizations realize, and they’re using it to make judgments about credibility.

If your brand’s content reads like it was generated, that’s a trust problem. And the first step to solving it is being able to see what your audience sees.

What AI writing actually looks like

The patterns have shifted as the models improved. The early tells, the overuse of words like “delve” and “tapestry,” the endless variations of “it is worth noting that,” have faded as developers tuned them out. But the underlying fingerprints remain.

The most reliable signal is a particular kind of structural smoothness. AI-generated content flows from point to point without friction. Every paragraph connects to the next. Every claim is supported. The argument builds cleanly toward a satisfying conclusion. Nothing surprises you.

That sounds like good writing, and in many ways it is. But human writing, at its best, has texture that AI can’t replicate. The sentence that sits a little uncomfortably because the writer wasn’t sure how to say something difficult. The detail that’s almost too specific, clearly drawn from a moment the writer actually lived. The opinion that goes a little further than the evidence strictly supports, because the writer has seen enough to feel confident about the call.

AI produces the median version of a well-structured argument. Human writing at its best is more uneven, more specific, and more alive.

The vocabulary of generated content

The word patterns shift by era and by model, but a few have proven durable.

Present participial phrases show up two to five times more often in AI writing than in human writing. “The system analyzes the data, revealing key insights.” “Drawing on decades of experience, the team delivers results.” Nothing wrong with these constructions on their own. They just appear at a frequency that starts to feel mechanical.

The “from X to Y” construction is another one. “From bustling cities to serene landscapes.” “From startups to established enterprises.” Every few paragraphs, the same template.

Sentences that begin with “This” followed by a summary of the previous point. “This approach allows organizations to…” “This shift reflects a broader trend…” The AI is confirming it tracked what it just said before moving on. Human writers do this occasionally. AI does it constantly.

And the paragraph that ends with a slightly vague but optimistic forward-looking statement. “As the landscape continues to evolve, the organizations that adapt will be positioned to thrive.” It sounds like a conclusion. It doesn’t actually say anything.

Why your audience notices before you do

The people reading your content developed these detection skills through exposure, not deliberate study. They can’t always articulate what feels off. But they know.

A 2025 study found that people who use AI tools regularly identify AI-generated text correctly about ninety percent of the time. People who rarely use the tools do only slightly better than chance, but here’s the interesting part: they still experience the content as less engaging, less trustworthy, and less worth their time.

“Hollow” is the word that keeps showing up in audience research. People feel the absence of a specific human intelligence behind the text, even when they can’t explain what that absence consists of.

For brands, this matters. Content that reads as hollow isn’t neutral. It actively erodes the trust you’re trying to build. It tells the audience, somewhere below conscious articulation, that nobody who matters thought carefully about what they were saying to them.

The QA pass

If you’re using AI tools in your content production, the most important thing you can do is build in a human review step that’s specifically hunting for these patterns.

Not a proofread. Not a spell check. A deliberate pass asking: does this sound like a specific person with a real point of view, or does it sound like a well-organized average?

Three questions to ask. Is there anything here that could only have been written by someone who knows this subject from the inside? Is there a sentence that takes a genuine position, rather than presenting perspectives and letting the reader decide? Is there a detail that feels observed rather than generated?

If the answer to all three is no, it needs more human input before it goes out.

What good looks like

The goal isn’t to sound unpolished. It’s to sound like a specific person who knows what they’re talking about.

The best AI-assisted content uses the tools for what they’re good at, which is structure, drafting, and iteration, and reserves the human judgment for what matters most: the specific claims, the genuine opinions, the observed details, and the voice that holds it all together.

Your audience can’t tell how you made the content. They can tell whether a human who cared about the subject was genuinely involved in making it.

That involvement is what they’re looking for. Right now, it’s increasingly what separates credible brand content from everything else competing for the same attention.