Three connected segments of different lengths, the first shortest and brightest

AI ad copy sounds like AI for four reasons: it prefers the abstract noun to the concrete one, it arranges everything into groups of three, it hedges every claim, and it describes a category instead of a product. All four come from a thin brief, not from the model. Give it a real offer with a price, a named audience, two verifiable numbers and one sentence a customer actually said, and most of the tells disappear before you edit a word.

The tells, with the fix next to them

Abstraction

Before: "Our platform helps growing teams streamline their creative workflow and get more from their content."

After: "Upload the footage from your last shoot. You get twenty ad variations by Thursday, each with its own script and voiceover."

The first version could describe forty companies. The second could describe one. Abstraction is the tell that produces all the others, because once you are one level above the actual thing, there is nothing specific left to say and the sentence has to be filled with rhythm.

The three-part list

Before: "Faster production, lower costs, better results."

After: "Twenty variations for the price of one shoot day."

Three balanced items feel finished, which is exactly why the model reaches for them and why readers have learned to skim them. One claim with a number does more work. If you genuinely have three things, put the best one in the ad and the other two on the landing page.

Hedging

Before: "Most brands could potentially see improvements in engagement over time."

After: "Our own account went from four variations a month to thirty. Cost per acquisition fell for two months, then flattened."

Hedging is what a model does when it has no data, and it reads as a lack of conviction. Notice that the fix is not a bigger claim, it is a smaller and specific one, including the part where the improvement stopped. That flattening sentence is the reason anyone believes the first one.

Category language

Before: "An innovative solution for modern performance marketing teams."

After: "It writes the script, picks the shots and cuts the ad. You upload footage and export files."

Words like solution, platform, offering and ecosystem are how you describe a market. Nobody buying anything thinks in them. Say the verb the product performs.

The symmetrical reversal

Before: "It is not just about making more ads. It is about making ads that work."

After: "More ads only helps if the winners last. Ours do, because each one is a different script rather than the same cut trimmed."

The "not just X, but Y" construction sounds like insight and asserts nothing. When you see it in a draft, the second half is usually the only claim, so keep that and throw the setup away.

The tidy summary at the end

Before: "In a world where attention is scarce, the brands that win are the ones that adapt."

After: Nothing. Cut it.

Generated copy almost always ends on a sentence that restates the piece from a great height. In a script this is worse than filler, because it occupies the CTA slot, which is the one place you needed an instruction.

Why abstraction is the root tell

Every other tell is a symptom of writing one level up from the thing being sold. Once you are describing "creative workflows" instead of "the four hours you spend re-cutting a shoot", you have no facts left, so the sentence needs another source of shape. Threes provide shape. Balanced reversals provide shape. Hedges fill the space where a number would have gone.

This is why editing rarely rescues generated copy. You can delete the tricolons and the hedges and still be left with a paragraph about categories, which is why it feels no better after the edit. Fix the altitude and the rest follows on its own. Ask one question of every sentence: could a competitor use this sentence unchanged? If yes, it is not copy about your product.

The brief inputs that remove each tell

The mapping is close to one-to-one, which is useful because it tells you exactly what is missing when you read a bad draft.

Missing from the brief Tell it produces What to add instead
A real offer with a price and terms Vague benefit language, "get more from" "€29 for 15 credits, no subscription, credits never expire"
A named audience Copy addressed to "modern teams" "Performance marketers at DTC brands running weekly creative tests"
Two verifiable numbers Hedging, "could potentially" "9 days to close, now 3" or "8 to 20 variations live per campaign"
One real customer sentence Invented testimonial voice, adjective stacks The actual words: "I stopped opening the spreadsheet version"
The objection you lose deals on Symmetrical reversals that assert nothing "You think migration takes a quarter. It takes an afternoon."
A named competitor and the honest trade Feature lists with no position "If you need a presenter on camera and have no footage, use an avatar tool"
The one action you want Summarising last line where the CTA belongs "Connect your two busiest ledgers"

Those inputs are also the difference between using a model as an autocomplete and using it as a writer with a research file. Our AI script writing works from that brief plus your own footage, and the AI ad script generator will ask you for the offer and the numbers rather than filling the gap with adjectives. Genyad is our product, so read that as a disclosure and not a neutral recommendation.

A review checklist before anything goes live

Run this over the script, out loud, in about two minutes.

  1. Could a competitor publish this sentence unchanged? Cut it or make it specific.
  2. Count the three-part lists. Keep at most one per script, and only if the items are concrete.
  3. Find every hedge (may, could, often, potentially). Replace with a number or delete the claim.
  4. Circle the abstract nouns: solution, workflow, experience, journey, results. Swap each for the physical thing it stands for.
  5. Is there a price, a duration or a date? If no number appears anywhere, the copy is not selling anything.
  6. Read the last line. If it summarises rather than instructs, replace it with the action.
  7. Read the first line alone. Does it name a situation someone recognises, or a category?
  8. Say the whole thing out loud at natural pace. Anywhere your voice flattens into rhythm is a generated cadence, and that is what an audience hears too.

Point 8 catches things the other seven miss. Copy that fails on cadence rarely fails on grammar.

Why this matters more when you are shipping volume

One polished script hides the problem. Thirty do not, because the tells repeat and the account develops a house voice nobody chose. That is a real risk when volume is the strategy: our 2026 fatigue benchmark reports most creative being effectively dead within three weeks and CTR dropping 45 percent after a fourth exposure to the same creative, so the answer is more variations, which means more chances to sound generated.

The way through is to fix the brief once rather than the drafts repeatedly. Write the offer, the audience, the numbers and the customer sentence into a document, and reuse it across the batch. If you want the mechanics of how a system like this assembles scripts from your library, what an AI agent for video ads actually does sets it out. We do not score copy against a predicted performance model, and we would not trust one if we had it: the platform test is the score.

Frequently asked questions

What makes AI ad copy sound like AI?

Abstraction above all: describing a category rather than the specific thing you sell. It shows up as three-part lists, hedged claims, words like solution and workflow, and a summarising final line. All four are symptoms of a brief that gave the model nothing concrete.

Can you edit AI copy so it does not sound generated?

Only partly. Deleting the tells leaves copy that still sits at the wrong altitude, which is why edited drafts often feel no better. Add the offer, the audience and two real numbers to the brief and regenerate rather than polishing.

What should a good ad copy brief contain?

The offer with its price and terms, a named audience, two numbers you can verify, one sentence a customer actually said, the objection that loses you deals, and the single action you want the viewer to take. That is roughly a page, and it is reusable across every variation in the batch.

Does more specific copy narrow the audience too much?

It narrows who responds, which is usually the point. A specific hook typically lowers hook rate and improves cost per acquisition, because the people it filters out were never going to buy.