Using AI for Marketing Content: When Should It Enter Your Writing Process?

Using AI for Marketing Content: When Should It Enter Your Writing Process?

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You have the facts for a website announcement and a reasonable idea of what it needs to achieve. Should you ask AI for a first draft, or write the piece yourself and ask for feedback?

Both approaches can help you move forward. They also leave you with different work to do.

An AI draft gives you wording and a proposed structure to assess. Feedback on your own draft gives you suggestions to weigh against decisions you’ve already made. Neither response tells you, by itself, that the piece is ready.

When using AI for marketing content, choosing where to involve it is an editorial decision. A useful starting point is to identify what would help you with this particular task.

What Help Do You Need From AI?

If you’re struggling to begin, a draft can give you something concrete to examine. You may find it easier to recognise what works once you can see a possible version of the piece.

If you already know how you want to approach the reader, writing first lets you develop that direction before considering another perspective. You can then ask AI to examine the draft against your brief.

Your choice may also depend on the material. A short announcement with established facts presents a different task from an article whose argument you’re still developing.

The purpose needs attention in either case. My article on keeping control of your message when writing with AI explores how to retain responsibility for those substantive choices.

To make the practical differences more visible, I compared two approaches to the same short announcement.

The Comparison: Two Ways to Develop the Same Piece

The fictional business was an independent skincare retailer introducing a fragrance-free filter on its website.

The brief established that:

  • The filter was available on the facial skincare category page.
  • It showed products listed by the retailer as fragrance-free.
  • Product pages provided ingredient lists and directions.
  • Customers could contact the retailer with questions about the listed information.

The announcement needed to explain the feature and help customers decide whether to use it. The requested voice was clear, approachable and measured.

The factual limits were deliberately strict. The copy could use only the supplied information, without inventing interface details or implying that fragrance-free products suited everyone.

I wrote a draft before viewing the AI announcement. I then used GPT-6.1 Sol Light in separate chats: one to draft from the brief, the other to critique my passage without rewriting it.

Both tasks used the same factual requirements and a target of 100–130 words, with an instruction not to add material simply to reach that length.

This was a small comparison of two responses. It illustrates the work each approach involved, rather than establishing which is generally better. I didn’t measure the time taken.

Starting with an AI Draft

The AI announcement followed a sensible sequence. It introduced the filter, identified its location and directed readers towards product information before offering a contact route.

It also retained the distinction between products listed as fragrance-free and a broader assurance about their suitability.

Those choices provided a workable starting point. The main editorial work concerned how much space the explanation needed.

A Useful Structure Can Still Contain Repetition

Excerpt From the AI Draft:

Looking for facial skincare listed as fragrance-free? You can now find a fragrance-free filter on our facial skincare category page. Use it if you’d like to focus your browsing on products we list as fragrance-free.

The opening explains the subject clearly, but repeats the classification three times. The next paragraph begins:

The filter gives you a way to narrow your search.

That sentence largely repeats what the preceding paragraph has already explained.

An editor could retain the useful sequence while bringing the introduction together more economically. Recognising that structure and repetition are separate questions helps avoid accepting or rejecting a draft as a whole.

Some Additions Don’t Earn Their Space

The response ended:

You can also continue browsing the facial skincare category without using the filter.

That may describe the likely website experience, but it wasn’t explicitly supplied in the brief. It also answers a question the announcement hasn’t given readers a reason to ask.

The sentence is easy to remove. More broadly, it shows why a complete-looking draft still needs someone to decide which details contribute to its purpose.

For this task, the AI supplied a usable arrangement of information. Turning it into a finished announcement would involve cutting repetition and assessing the value of its additions.

Asking AI to Critique a Human-Written Draft

My own draft began with a customer question and then explained the filter:

Excerpt From My Draft:

Ever wished you could find our fragrance-free face products more easily? Our new fragrance-free filter lets you see a list of only those items we have listed as such, so you can save time when shopping on our site.

It went on to tell readers where to find the filter and directed them towards product pages and contact information.

Writing this first meant I had already chosen an opening and a sequence. The AI’s task was to assess those choices against the brief.

The Feedback Identified Specific Points to Reconsider

The critique flagged the repeated list/listed and the indirect phrase as such. That was useful: the central explanation could be more direct without losing the qualification about the retailer’s classification.

It also questioned my instruction to click the fragrance-free option. The brief established the page containing the filter but hadn’t specified its label or how it was activated.

In a real assignment, that detail would need checking against the website. The feedback identified a practical verification task.

The same applied to the proposed time-saving benefit. Under this brief’s strict limits, the supplied facts didn’t establish it. That doesn’t prove the benefit false. It means the writer needs support for the claim or confirmation from the business before including it.

The Critique Also Needed Checking

When discussing the interface instructions, the response quoted:

Click the ‘fragrance-free’ option in the list

My draft actually said:

Click the “fragrance-free” option.

The words in the list weren’t in my passage.

The underlying point about unverified instructions remained valid, but the quotation was inaccurate. Checking the feedback against the original allowed me to separate the useful observation from the error in how it was presented.

The critique also described its two factual flags as necessary corrections. That framing was too definite. They were details unsupported by the brief, rather than demonstrated factual errors.

Asking for criticism therefore gave me focused advice to assess. It didn’t remove the need to exercise judgement about that advice.

What Does Each Approach Ask of You?

In this comparison, both approaches produced something useful. They differed in what I needed to examine next.

StageAI Drafts FirstYou Draft, AI Critiques
PreparationEstablish the facts, purpose and requirements in a brief.Establish the same requirements, then write an initial passage.
Useful ContributionA complete announcement with a workable sequence.Specific observations about clarity and details needing verification.
Main Assessment TaskDecide which wording and additions deserve to remain.Check the accuracy and relevance of each recommendation.
Work Needed to FinishTighten repetition and resolve unsupported additions.Make selected revisions and verify the questioned details.

When comparing the effort involved, include the time spent writing your own draft, alongside the work of assessing and acting on AI feedback.

Equally, receiving a complete AI announcement doesn’t establish how quickly it can be brought to publication. That depends on the revision it needs and the writer’s ability to assess it.

Choosing a Role for AI in Your Content Workflow

The practical question is where assistance would be most useful.

An AI draft may help when you need something concrete to respond to. You still need enough understanding of the brief to assess its proposed direction and identify what is missing or unnecessary.

Critique may help when you already have a direction worth developing. You can ask focused questions about whether the piece serves its reader, then accept or reject suggestions with reference to your purpose.

You can also limit the task further. If the structure is settled but one explanation feels cumbersome, you could ask for alternatives to that passage. If you want to test the logic, you could request questions a reader might still have.

There’s no requirement to involve AI at every stage. A short piece may be easier to finish directly, particularly when you already know what needs changing.

A useful AI content workflow gives assistance a defined job. Once that job is done, you can decide whether another response would help or simply give you more material to review.

Where Can Editorial Support Help?

You may have a draft that needs development, or feedback that leaves you uncertain about what to change. An editor can help assess either against the intended reader and the agreed brief.

That includes recognising useful contributions. A workable structure can be retained while repetitive wording is cut. A valid observation can be investigated even when the critique expressing it contains an error.

If your main concern is whether revised wording still communicates the same offer, my article on AI rewriting and changes in meaning examines that question in more detail.

For help developing English marketing content from either starting point, get in touch to discuss your draft and what you want it to achieve. We can agree where editorial input would be most useful.

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