AI Marketing Copy: Write Clearly and Check Every Claim

AI can help write marketing copy when you supply a clear audience, an approved offer, and evidence for the claims. Use it to produce options, then have a person check the meaning, voice, and factual support before the copy reaches customers.

The reusable part is your instruction set: what the brand can say, how it should sound, and what readers should do next. Tools like fenbs keep those prompts and approved rules available across assistants, so a fresh conversation does not restart the argument about your message.

What is a simple workflow for the first draft?

Start with one piece of copy, such as the opening section of a landing page. Name the decision the reader is considering and the information they need to make it. Asking for “better marketing” gives an assistant too much room to invent a stronger offer than you actually provide.

1. Write the audience, offer, channel, and desired next action in a short input document.
2. Attach the approved product facts, available evidence, and any limits the reader needs to understand.
3. Ask AI for a few meaningfully different approaches, with the reasoning and claims made visible.
4. Choose a direction and edit it for clarity, accuracy, and voice. Check implied claims as well as explicit ones.
5. Approve a specific version, publish through your normal tools, and record what the next draft should preserve or improve.

Say a neighborhood bicycle shop wants appointments for a seasonal tune-up. Its useful facts might be the work included, the booking process, and the bikes it can service. AI should work with those facts rather than invent a turnaround guarantee or a customer testimonial.

For broader collaboration between people and assistants, see AI assistants for marketing work. This workflow focuses on producing and checking the words themselves.

What should you give AI before it starts writing?

Describe the audience in terms relevant to the message. “Local commuters who need a reliable bike for work” gives the assistant a clearer problem than “everyone who loves cycling.” Add what those readers already know and which question the copy must answer first.

• Audience: who the message serves, their immediate problem, and what you know rather than assume about them.
• Offer: what is included, important exclusions, and the next action actually available.
• Evidence: approved product facts, substantiated claims, and authorized quotations if you have them.
• Voice: a few short examples with an explanation of what makes them appropriate.
• Constraints: the channel, approximate length, required qualifications, and who must review the result.

Separate evidence from suggestions. An internal idea that customers might prefer faster booking is a hypothesis, not proof that your service saves time. Keep unresolved details visible so an assistant does not convert an optimistic assumption into a published benefit.

A useful AI brain stores the work instructions and decisions behind the copy. Keep detailed customer records and sensitive research in the systems authorized to hold them; share only the material appropriate for this drafting task.

What does a repeatable copy prompt look like?

Write the prompt so you can reuse it with new input. Require distinct approaches rather than small adjective changes, and ask the assistant to explain which supplied facts each option uses. That makes the output easier to compare and review.

Write three opening options using the supplied audience and offer.
Option 1: lead with the practical problem.
Option 2: lead with the supported benefit.
Option 3: lead with a clear description of the service.
Use only approved facts and supplied evidence.
Do not invent results, guarantees, testimonials, or urgency.
Preserve the supplied limitations and required qualifications.
For each option, list factual claims and their evidence references.
Flag missing information instead of filling it in.
End with the supplied next action.

Keep your first request small. Choose the central message before asking for a full page, email series, and collection of ads. Otherwise you can spend an afternoon editing variations of an idea you never meant to approve.

If every option sounds generic, improve the input before adding more style instructions. A concrete description of what happens at a tune-up gives AI better material than a long list of adjectives about trust and quality.

How do you check what the copy is claiming?

Read each sentence as a prospective customer. Ask what it would reasonably lead someone to expect. “Ride worry-free tomorrow” could imply a service speed or result that your source facts do not support, even though it contains no explicit measurement.

The FTC’s advertising substantiation policy↗ (opens in a new tab) addresses the need for a reasonable basis for objective advertising claims before they are published, including implied claims. Build that evidence check into editing rather than searching for support after the copy is live.

Create a simple working claim list: the proposed sentence, its evidence, and whether a reviewer accepted it. Remove unsupported claims or rewrite them to match what you can establish. Keep qualifications close enough that the message remains understandable when someone scans it.

Do not ask AI to invent a customer voice for a testimonial. The FTC’s endorsement guidance↗ (opens in a new tab) explains that endorsements must be honest and not misleading, and that relevant unexpected connections may need clear disclosure. Check real endorsements and their context with the responsible reviewer.

How do you make the draft sound like your business?

Edit for meaning before polishing rhythm. Can the reader tell what you offer, who it helps, and what happens after the next click? Replace claims of excellence with concrete descriptions when those descriptions answer the reader’s question more directly.

Read the text aloud and compare it with your examples. Delete repeated openings, vague promises, and words your staff would never use. Keep necessary product terms consistent so the same service does not acquire three different names across the page.

Check the copy in its destination. A shortened button, cropped preview, or isolated headline can lose an essential qualification. If you need a separate sentence-level editing process, use the AI copy editor guide.

Record the actual voice decision, such as “describe the included work before describing the benefit,” in fenbs Decisions and rules. That gives the next assistant an instruction it can apply instead of a vague request to sound more human.

How to do this with fenbs

1. Create a free account and add a project for the website, product, or service whose copy you are preparing.
2. Save the reusable drafting prompt in Skills and prompts. Record the person-approved audience, voice, and claims boundaries in Decisions and rules.
3. Add a task for each piece of copy, with its goal, source references, review requirements, and unanswered questions in the plan.
4. Connect a supported assistant through Integrations. Ask it to read the project context and relevant prompt before drafting.
5. Save progress with the selected direction, the version reviewed, and the remaining checks so another assistant can continue accurately.

fenbs does not publish advertisements or verify that an advertising claim meets legal requirements. It helps keep approved instructions and review work together; a writing app alone may be enough for a single draft with no ongoing collaboration.

What should you save after the copy is approved?

Save the decision that will help the next task: which direction was approved, what evidence it relied on, and which tempting claim was removed. Keep a reusable lesson if reviewers repeatedly find the same problem, then improve the prompt that caused it.

The guide to using AI at work covers making that review habit routine. Explore the AI at work hub when you are ready to apply the same discipline elsewhere.