Marketing teams avoid generic AI copy by giving the AI specific, distinctive inputs and by treating its output as a first draft to be edited. Generic writing is usually the result of a generic request: when Claude knows nothing about your brand voice, your reader or your point of view, it produces the safest average of everything it has seen. Put a written brand guide and real examples in front of it, edit in deliberate passes, and verify every factual claim, and the output starts to sound like your company rather than like everyone's.
Why AI copy sounds generic in the first place
A short request such as "write a LinkedIn post about our new service" gives the model almost nothing to work with. It fills the gaps with the most common phrases, the most common structure and the most common opening line. The result is smooth but interchangeable text that any competitor could have published.
Three missing inputs cause most of the problem:
- No voice definition. The AI does not know whether your brand is formal, plain-spoken, playful or technical.
- No real substance. Without your actual product details, customer questions and opinions, it can only write in broad claims.
- No audience. "Customers" is not a reader. A finance manager at a mid-sized Malaysian manufacturer needs a different message from a start-up founder.
Write a brand guide the AI can actually use
Most brand guidelines are written for designers and say little about language. An AI-ready version is short, concrete and written as instructions. It should cover:
- Voice in a few sentences. For example: "We write plainly, in short sentences, and avoid hype. We explain before we sell."
- Words and phrases to use and to avoid. Include the clichés your team is tired of, so they are named and excluded.
- Reader profiles. Who they are, what they already know and what they worry about.
- Formatting habits. Typical length, how headlines are written, whether you use bullet points, how calls to action sound.
- Language conventions. British or American spelling, how you refer to the company and its products, and whether you mix Bahasa Malaysia into copy.
Keep it to a page or two. A long, unfocused guide dilutes the instructions that matter.
Store the guide in a Claude Project
Pasting the guide into every conversation is tedious, and people skip it. A shared workspace removes that step: the brand guide becomes the standing instruction and the examples sit alongside it, so everyone on the team starts from the same voice. Our explanation of what a Claude Project is and how a team should use it covers naming, ownership and keeping the contents current, which matters here because brand guidance changes.
Show examples, not just rules
Descriptions of tone are abstract; examples are not. Give Claude two or three pieces your team is genuinely proud of, and ideally one that missed the mark with a short note on why. Ask it to describe what makes the good examples work before writing anything new. That step often surfaces patterns, such as sentence length or how you open a piece, that your guide did not state.
Examples should be your own approved work. Do not feed in material you do not have the right to use, and do not ask the AI to imitate a named writer or a competitor's copy. The goal is your voice, not someone else's.
Give it substance only your team has
The strongest defence against generic copy is specific content. Before drafting, supply:
- The actual question or problem the piece answers.
- Notes from your sales or support team on what customers really ask.
- Your genuine point of view, including something you disagree with in the market.
- Concrete details such as how a process works, what a customer must prepare or what a common mistake looks like.
If you give Claude raw notes and ask it to shape them, the result carries your substance. If you ask it to invent the substance, you get filler.
Edit in passes instead of one big rewrite
Asking for "better" or "less robotic" rarely works. Targeted passes do. A workable sequence is:
- Structure pass. Does the opening answer the reader's question? Is anything repeated or out of order?
- Specificity pass. Replace vague claims with concrete details from your notes. Cut sentences that could appear on any company's site.
- Voice pass. Compare against the brand guide and examples. Ask Claude to flag phrases that conflict with them.
- Human pass. A person reads it aloud. If a sentence feels unnatural to say, rewrite it.
Each pass has one job, which makes the instructions clearer and the result easier to judge. The principles are the same as in our guide on how to write a good prompt for Claude: state the task, the reader and the format, and iterate.
Fact-check every claim before publishing
Sounding distinctive is only half the job; being accurate is the other half. AI can state invented figures, misattribute quotes or describe a feature your product does not have, all in confident language. Marketing copy is public and attributable to your company, so the standard is high.
- Check every statistic, date, price, quote and customer reference against a source your team trusts.
- Remove any claim you cannot verify rather than softening it.
- Be careful with comparisons, awards and "first" or "best" claims, which can create legal and reputational risk.
- Have a named person approve the final copy.
Our guide to how to check if AI output is accurate sets out a practical checking routine.
Build the habit across the team
Consistent quality comes from shared practice, not individual talent. Agree on one brand guide, one set of example pieces, one editing sequence and one approval step, then review them every quarter. For role-specific support, see our overview of AI training for sales and marketing teams in Malaysia.
Prompting and task execution is one of the domains in the Claude Certified Associate exam; the CCAO-F prompting domain page shows what it covers. Agmo Studio, a Select Partner of the Anthropic Claude Partner Network, runs the Claude Certified Associate workshop through Agmo Academy; the certification itself is issued by Anthropic. Workshop fees are subject to SST, and HRD Corp claimability is subject to eligibility and HRD Corp approval.