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Copy that sounds like everyone else

Why your AI ad copy sounds generic, and how to fix it

Replace interchangeable promises with a specific customer moment, a believable explanation, and evidence your offer can support.

What you’ll take away

  • Look for missing decisions before replacing individual words.
  • Connect one customer situation to one observable product behavior.
  • Revise the promise and evidence before polishing the brand voice.

Generic AI ad copy usually leaves the reader with a category promise: save time, grow faster, make work easier. To improve it, replace the category with a particular person, situation, product behavior, and reason to believe. Changing adjectives alone will not supply those missing decisions.

Consider this fictional advertisement for a design agency's client portal: "Transform your workflow with our powerful collaboration platform." You can swap in another product name without changing the sentence. That is the problem to diagnose before asking for ten punchier versions.

1. Run the product-name swap test

Hide the brand name and read the draft aloud. Could it describe a calendar, a project manager, and a file-sharing service equally well? Underline every phrase that survives those swaps.

Common examples include "seamless collaboration," "unlock your potential," and "everything you need." These phrases are not forbidden words. They are signs that the copy may be avoiding a concrete decision.

Make a two-column note. On the left, write what the draft promises. On the right, write the observable behavior that would make the promise true. If "better collaboration" has no behavior beside it, return to the product materials before revising the sentence.

2. Choose a moment, not a demographic

"Busy agency owners" describes many people with different problems. "An account manager searching three email threads for the approved logo" gives a writer a situation to work with.

Use a moment sentence:

When [person] is trying to [task], [specific obstacle] makes [next step] harder.

For our fictional portal: "When an account manager prepares a client handoff, conflicting email replies make it unclear which design was approved."

This is a working hypothesis, not customer evidence. Validate it against actual interviews, support conversations, or reviews. If your audience already has a good approval process, this moment may not be useful. Specificity helps you discover that mismatch earlier.

3. Explain the mechanism in ordinary language

A benefit describes what someone wants. A mechanism explains how the offer helps them move toward it. Your copy needs a connection between the two.

Suppose the fictional portal really lets clients mark a design approved beside the file. That feature supports "See the approval beside the design." It does not automatically support "Never miss a deadline again."

Ask for a revision using this instruction:

Explain how the documented feature helps with the selected customer moment. Use one observable action. Do not invent integrations, automation, or quantified results.

The resulting direction might be: "The client approved it. Find the approval beside the design, instead of reconstructing it from a reply chain." This remains a draft to verify against the actual interface and audience.

4. Match the strength of the promise to the evidence

Specific copy can still be wrong. "Cut review time in half" is precise, but precision does not make a claim supported.

Assign each important statement one of three working labels:

  • Verified product behavior: a feature you have checked in the current product.
  • Supported customer observation: a traceable statement with its original context.
  • Hypothesis: a plausible benefit or audience response that still needs investigation.

Use the first two carefully in publishable copy. Use the third to guide research or testing, without presenting it as an established result. A claim review checklist makes this pass repeatable.

5. Give voice instructions that change sentences

"Bold, authentic, and engaging" leaves substantial room for interpretation. Supply instructions a reviewer can actually check.

For example: "Use short, complete sentences. Address the account manager directly. Prefer concrete nouns. Avoid jokes about incompetent clients. Sound calm about stressful work."

Add one approved example and explain what to preserve: the direct opening, measured promise, or familiar vocabulary. Do not provide a pile of unrelated advertisements and expect a consistent voice to emerge.

At this stage, voice improves an already meaningful message. If you cannot identify the customer situation or mechanism, a more distinctive rhythm will only make the ambiguity sound polished.

6. Revise in a sequence you can evaluate

Work through the draft in this order:

  1. Name the audience moment and the immediate problem.
  2. Choose the feature or mechanism that addresses it.
  3. Remove claims that exceed the evidence.
  4. Write an opening that leads naturally to that explanation.
  5. Apply the voice constraints and one clear next action.

Keep the original and revised versions together with a short decision note. "Replaced a broad productivity promise with approval visibility" is more useful than "Made it stronger." It tells the next writer what the improvement was meant to accomplish.

MediaWriter lets you develop campaign angles, copy, and scripts around a promo, with research and conversations alongside the work. Bring this diagnosis into that project context, then review the resulting draft yourself. The workspace supports iteration; it does not establish that a claim is true or that an advertisement will perform.

If every new draft starts with the same missing information, fix the input next. Use the AI copywriting brief template to give future drafts a specific starting point.

Published by MediaWriter. Written with AI assistance, grounded in the product’s documented workflows. Examples are illustrative unless a source is identified.

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