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AI in marketing: 6 common myths explained

When you’ve got an email to send, a blog to finish and nothing scheduled for social media, AI can seem like the answer to a very long to-do list.

And sometimes, it helps. ChatGPT can suggest a different opening line. Claude can organise a jumble of notes. Canva’s AI features can give you somewhere to start when a design isn’t coming together.

But there’s a big gap between helping with a task and knowing what your marketing needs to achieve.

For us, our marketing is led by our team’s experience, creativity and understanding of each client. We use AI selectively to support parts of the process, but we don’t rely on it to come up with the ideas or create what we produce. Our amazing team develop the strategy, create the content and review the work before it reaches you.

So, where does AI in marketing add value and where do you still need human expertise? Let’s clear up a few common myths…

Myth 1: “We can use AI instead of hiring a marketer”

AI can help produce marketing materials, but someone still needs to decide what to do and why.

You can ask Claude for a campaign plan. What you get back might look sensible, but does it reflect your sales process, your customers and the time your team has? Isn’t it even correct? How would you know?

A good marketer asks questions before getting started and really gets under the hood of a business. Which services need more enquiries? What puts potential customers off? What has already been tried? Crucially, they are asking these questions based on past experiences of what works and what doesn’t.

Those answers shape the work.

We explore this further in Is AI a replacement for a good marketer?. AI can take on some of the groundwork, but it still needs someone with the experience to recognise a good idea and turn it into action.

Myth 2: “If it reads well, it’s ready to publish”

AI-generated content can sound convincing but can still be wrong.

Perhaps ChatGPT has added a statistic without a reliable source. Or a draft mentions a service your business doesn’t offer. These details are easy to miss when the rest reads smoothly.

The same applies beyond copy. An image created with Adobe Firefly might need closer inspection, while automatic video captions can mishear names or technical terms.

Build checking into the process. Treat the first draft as a start point, edit, reword, verify claims and look carefully at visuals before anything goes live. Google’s guidance recommends manually reviewing AI-generated website content for accuracy and trustworthiness.

Myth 3: “Google won’t rank content created with AI”

Using AI doesn’t automatically stop a page performing in search.

Google’s guidance focuses on helpful, reliable content. Its spam policies address content created at scale primarily to manipulate rankings, whether AI or people produce it.

So, asking an AI tool to help structure a useful article is different from filling your website with pages that repeat the same vague advice.

For SEO and answer engine optimisation (AEO), give readers clear answers to real questions. Include relevant examples, explain the details and make the information easy to follow.

AI in marketing can help with the structure. You still need something worthwhile to say.

Myth 4: “Everything written with AI sounds the same”

A vague brief usually gives you a vague result.

“Write a post about our business” doesn’t give a tool much to work with.

Explain who the post is for, what you want to say and why the reader should care. Share approved examples of your tone and include specific details.

Then give the draft a proper edit. Would you say “unlock your potential” to a customer? If not, take it out.

Your own experience, observations and examples will usually do more for the content than another instruction to “make it engaging”.

Myth 5: “AI is just for writing blogs and social posts”

There are useful applications across design, video and campaign planning, too.

Alongside ChatGPT and Claude, businesses can explore:

  • Microsoft Copilot to help organise ideas and draft content.
  • Canva AI for design ideas and initial layouts.
  • Adobe Firefly for image concepts and generated backgrounds.
  • Descript for editing video through a transcript and adding captions.

Choose a task that regularly takes up time and try a tool against it. Include the time spent briefing and reviewing when deciding whether it’s worth using again.

Myth 6: “More content will mean better results”

Publishing more only helps if the content serves a purpose.

Another five posts won’t fix an offer people don’t understand.

Before creating anything, decide what you want it to achieve. Are you answering a common question, explaining a service or encouraging someone to enquire?

Then measure what happens. AI can help increase output, but enquiries, sales conversations and customer responses tell you whether the work is useful.

Let us take care of your marketing

There’s no shortage of marketing tools. Finding the time and expertise to bring everything together is often the harder part.

That’s where TLC Business comes in. We’re your outsourced marketing team, covering strategy, lead generation, content, design, SEO, email and social media for one fixed cost-effective monthly cost.

If you need a range of skills and people who will get things done, we’re the perfect fit. Our service is an extremely cost-effective alternative to an in-house marketing hire, giving you a whole team’s experience without the overheads of employing a full-time marketer.

Book your free, no-obligation Marketing Ideas Session and tell us what you want your marketing to achieve. We’ll help you work out how to get there.