The Honest Gut Check: How to Tell If Content Is Written by AI (Before It Costs You Customers)

The title of this post contains two of the tells. Nobody says "honest gut check" out loud, and nothing in the history of language has ever needed the word "quietly" as much as AI copy does. Both showed up in marketing writing a couple of years ago and neither has left.

Most people can sense the signs of AI-written content. Fewer can say why, and fewer still connect it to something that actually matters for a business: copy that reads like a machine wrote it doesn't convert. Here's how to tell if content is written by AI, and what to do about it once you know. If you want a full picture of how your site is showing up to both readers and AI search tools, our SEO and AI visibility audit looks at this alongside technical and search factors.

The word list is really two lists

Delve. Unpack. Leverage. Harness. Robust. Seamless. Elevate. Landscape. Realm. Tapestry. Testament. Journey. Curated. Meticulous. Ever-evolving. Game-changer.

Look closely and you'll notice these don't all come from the same place.

Half of them are old boardroom jargon. Leverage, harness, robust, seamless, elevate, curated. These were in consulting decks and annual reports twenty years before anyone typed a prompt. The machine didn't invent them, it absorbed them from a few decades of corporate copy and now hands them back at volume. That's the part worth being angry about. No plumber in your town ever told a customer he was going to leverage a robust solution. He said he'd fix the pipe.

The other half are closer to native AI writing. Delve, tapestry, testament, ever-evolving, myriad. Words that exist in English but that almost nobody reaches for in ordinary conversation, showing up at a rate that gives the game away.

Either way, the vocabulary is shallow. Ban "delve" and the next output says "dig into." The words move. The habit underneath them doesn't.

And if you're writing for a small business, the corporate half is the bigger sin. AI copy that sounds like AI is a credibility problem. AI copy that sounds like a Fortune 500 press release, on a page selling gutter cleaning, is a sales problem, and it's one of the most common AI copywriting mistakes small businesses make without realizing it.

Everything is always happening "quietly"

This one deserves its own heading. Somewhere in the last two years every machine decided that things don't happen, they happen quietly.

Companies are quietly becoming the leader in their category. A feature is quietly reshaping how teams work. Your competitors are quietly capturing the customers you thought were yours. Something is quietly sitting in your CRM costing you money.

The word does a specific job. It implies the writer noticed something nobody else has caught yet, which makes the claim feel like insider knowledge instead of an assertion. And it costs nothing, because you never have to prove it. Delete "quietly" from any of those sentences and you're left with a flat claim that now has to stand on its own.

It travels with a whole family in the same move. Subtly. Steadily. Increasingly. Rapidly. Under the radar. Without fanfare. All of them add a sense of significance to a sentence that hasn't earned any.

The test is easy. Delete the adverb and read the sentence again. If it says the same thing, the adverb was decoration. If it says less, ask whether the missing part was ever true or just implied.

The structures are the real giveaway

Watch for sentence shapes instead of words. These are more reliable signs of AI-written content than any single word choice.

The reversal. "It's not just a website. It's a growth engine." Some version of this appears in nearly every AI-written paragraph about a product. Two things stated in opposition, the second one bigger and vaguer than the first.

The colon reveal. "The result: more leads." "The problem? Most businesses never find out." A setup, a punctuation mark, a payoff. Used once it's fine. Used four times on a page it reads like a slot machine.

Compressed number parallelism. "Four vendors, one voice." "Three channels, zero friction." Take a number, pair it with a smaller number, drop the verbs. It sounds like a tagline, which is why the machines love it and why it's now worthless.

The handoff. "That's where we come in." Almost always the fourth paragraph, almost always right before the pitch.

Everything in threes. Real lists have two items, or five, or seven. AI lists have three, because three sounds complete. When every list on a page has exactly three items, a machine picked the number.

The rhythm is too even

Read a suspect page and pay attention to length instead of content. AI copy tends to run in blocks of nearly identical size, with sentences that all land in the fifteen-to-twenty word range. Human writing is lumpier. A short sentence lands hard. Then a longer one carries a complicated thought that needs the room, and the unevenness is what makes it feel like a person thinking rather than a system producing.

It always ends by getting bigger

The last paragraph of AI copy zooms out. A piece about scheduling software closes on the nature of time. A piece about HVAC maintenance closes on peace of mind and what home really means. The machine has been trained that endings should feel significant, so it reaches for significance regardless of the subject.

Human writers stop when they're done.

Selling to executives doesn't make this easier

There's an assumption that corporate buyers are more tolerant of corporate language. A VP of Marketing or a CIO lives in that world, so surely the boardroom vocabulary lands better there than it would on Main Street.

It's backwards. Executives have been reading that language for twenty years and have gotten very good at skimming past it. "Leverage a robust, seamless platform" doesn't sound sophisticated to a CIO. It sounds like a vendor with nothing specific to say, and they've seen four hundred of those. The jargon that fails to impress a plumber also fails to impress a CFO. The difference is that nobody tells you. They just don't reply.

The bigger problem is that these people are using the same tools you are. A VP of Marketing who runs her own drafts through an AI has developed a real ear for the output. She recognizes the reversal, the colon reveal, the fourth-paragraph handoff, because she deleted all of them from her own deck last Tuesday. Sending her copy with those patterns intact tells her you didn't bother to edit.

A few things that help make AI copy sound human to that audience specifically:

Real numbers instead of ranges. AI hedges toward "significantly reduce costs." A person says the pilot cut ticket volume 31% over six weeks and the second quarter was worse than the first.

Named constraints. Say what the thing doesn't do, or who it's wrong for. AI almost never volunteers a downside unprompted, so a stated limitation is one of the strongest signals a human wrote the page. It's also the fastest way to earn a second meeting.

No audience hedge. "Whether you're a scrappy startup or a global enterprise" is written by someone who doesn't know who they're talking to. Pick one and name them.

A point of view someone could disagree with. AI copy is built to be agreeable, which makes it forgettable. If your whole page could have been written by your competitor with the logo swapped, it doesn't matter who wrote it.

This lines up with what usability researchers have found for years, long before AI writing was a factor. Nielsen Norman Group's research on trustworthiness in web design shows that specificity, current information, and a willingness to link out and be checked are what actually earn a visitor's trust, not polished-sounding language.

Why this matters for your bottom line

Here's the part most guides on this topic skip. Catching the signs of AI-written content isn't just an editing exercise. It's directly tied to whether your website copy converts. A visitor who lands on a page full of "leverage," "seamless," and "quietly transforming" doesn't consciously think "this was AI-generated." They just feel a flicker of distrust and click away. You never see that bounce in your analytics as a labeled reason. You just see a visitor who researched you and left without calling or booking.

That's the real cost of AI writing that is left unedited: fewer of the people who were already interested in what you sell ever take the next step. Human sounding marketing copy earns the click, the call, or the booking. Robotic copy loses it before the visitor even reaches your contact form. This is exactly the gap our visitor identification system is built to close, by showing you who was interested even when your copy didn't get them to convert on the spot.

What to do with this

If you're reviewing copy, check the structures first. Vocabulary is cosmetic and easy to swap; the sentence shapes are baked deeper and take real effort to write around.

If you're generating a copy, give the model something to imitate rather than a list of things to avoid. Paste in 400 words you wrote yourself and tell it to match the voice. That works better than any blocklist, because you're giving it a target instead of a fence. This is one of the simplest small business copywriting tips there is, and also one of the most overlooked.

Same discipline whether the reader is a homeowner or a board member. The tools are useful. Use them to sound more like yourself, not less.

And read your output loud before you publish it. The tells are much louder in the ear than on the screen, and so is the difference between a copy that sounds like a person and a copy that just sounds like it's trying to sell you something. Once your copy is doing its job, the next step is making sure you're actually converting the interest it earns. Our lead conversion system picks up from there.

Frequently Asked Questions

How can you tell if content is written by AI?

Look at sentence structure before you look at word choice. AI-written content tends to use repeated patterns like the reversal ("It's not just X, it's Y"), the colon reveal, and lists that always land on exactly three items. Sentences also run unusually even in length, and closing paragraphs tend to zoom out into something vague and significant-sounding, regardless of the topic.

What are the most common signs of AI-written content?

The clearest signs of AI-written content are a specific set of overused words (delve, leverage, robust, seamless, tapestry, testament), the constant use of adverbs like "quietly" or "increasingly" to imply significance without proof, and a tone that stays agreeable and hedged instead of taking a stance. Real specifics, like exact numbers or named limitations, are usually missing.

Why does AI-sounding copy hurt conversions?

Visitors rarely think consciously about whether a page was AI-generated. What they feel instead is a flicker of distrust when the copy sounds vague, generic, or overly polished, and that feeling is enough to make them leave without calling or booking. The business never sees this as a labeled reason in analytics. It just looks like a visitor who researched them and quietly disappeared.

How do you make an AI copy sound human?

Give the model a real writing sample instead of a list of banned words, and ask it to match that voice. Then edit for specifics: swap vague ranges for real numbers, add a named constraint or limitation, and cut any sentence that could apply to a competitor with the logo swapped. Reading the final draft out loud catches most of what's left.

Is it bad for SEO if my content sounds like AI?

Search engines do not penalize content simply for being AI-assisted, but AI-sounding copy still hurts SEO indirectly. Pages that read as generic and jargon-heavy tend to see weaker engagement, shorter time on page, and fewer of the trust signals that both search engines and AI answer engines use to judge content quality, which is part of why AI copywriting mistakes are worth fixing even outside the conversion argument.