There is a particular kind of AI-generated marketing content that is becoming harder and harder to ignore.
It is not terrible. It is not full of obvious mistakes. It is not always embarrassing. It might even be quite good at first glance: the headline is clear, the caption flows, the image looks polished enough, the email has all the right parts in all the right places.
And still, something is missing. It could have come from almost anyone. That is something I keep seeing in marketing. We ask AI for ideas, captions, campaigns, images, newsletters, content calendars and copy variations. It gives us something back. Sometimes it is wrong. Sometimes it is obviously weird. But often the harder problem is when it is quite good. When the copy is clean, the structure works, and even the message makes sense. It sounds like marketing.
And that is exactly the issue: it sounds like marketing, not necessarily like your brand. This is what I mean when I say: correct is not the same as distinctive.
The hamster wheel is real
I understand why this happens. Marketing and communications teams are expected to do more all the time. More campaigns. More social. More content. More thought leadership. More languages. More versions. More reporting. More of everything, often without more people or more time or more money.
So when AI helps you create a first draft faster, of course that feels useful. It is useful. But a first draft is not the same thing as a brand. If the focus stays only on producing the next piece of content, AI can make the hamster wheel spin faster without making the marketing better.
This is where I think we need to slow down for one second. Not to reject AI. I am pro AI, I build with AI, I use AI. I see how much it can open up for small brands and lean teams. But we should ask a better question:
Are we using AI to create more content, or are we using it to create communication that strengthens what we want to be known for?
A brand is not built from random good outputs
For content to support a company, it needs to come from somewhere deeper than a random good idea. I usually want to go back to the foundation:
- What does the company stand for?
- What are the company values?
- What should those values mean for the brand?
- Who are we speaking to?
- What do they need, fear, want or struggle with?
- What should they start to recognize as ours?
Only then do we get to the content, because content is not separate from the brand. Content is one of the places where people learn the brand.
The stories, language, visual cues, topics and points of view you return to over time help people understand what is yours. That is how brands begin to create memory. Marketing is not just about showing up once with a smart post. It is about building mental structures in people's minds so that when they see you, hear you or read you again, they recognize something familiar and start to understand what you are about.
The problem with "good enough"
The scary version of AI content is not always the obviously bad version. Yes, we have all seen images that look AI-generated from five meters away: the same glossy people, the same impossible lighting, the same visual language floating around brands that have nothing to do with one another.
But there is another problem too. The output that nobody objects to. The post that is polished enough. The paragraph that sounds professional. The campaign idea that could work for you, your competitor, or ten other companies in the same category.
One piece of content like that will not ruin a brand. But if that becomes the operating standard, the brand gets weaker by degrees. The voice becomes less consistent. The assets become less recognizable. The team gets faster at publishing things that do not really compound.
For consultants and agencies, there is another layer to this. If AI can produce the surface-level output, your value cannot sit only in the surface-level output. It has to sit in the thinking behind it: the strategy, the decisions, and the ability to know what is right for this brand and wrong for another one.
The foundation should come before the prompt
This is also why I am not very interested in the idea that the answer is simply "better prompts." Prompts matter. Context matters more. The hard part is not always getting AI to produce words. The hard part is building the knowledge base and the standards that make the output useful.
Before you ask AI to create content for your brand, it should have something real to work with. It should know who you are speaking to, what the company and the brand stand for, how your voice should sound, which messaging principles guide the work, what content feels right for you, what does not, and what you want to be known for.
Without those, AI will reach for what it knows from everywhere else. And everywhere else is exactly where sameness comes from.
Repetition is how people learn you
There is a funny thing that happens when you work in marketing. You get bored with your own message before your audience has even learned it. Inside the team, you have seen the strategy deck. You have heard the founder story. You have used the same proof point. You have repeated the same brand value so many times that it starts to feel obvious.
You get bored with your own message before your audience has even learned it.
But trust me: Outside the team, it is not obvious. Most people have not seen every post. They have not read every newsletter. They do not remember every campaign. They are busy living their own lives (just ask people what they had for lunch yesterday and they will not remember).
So no, your brand should not chase trends so closely that it loses relevance. But it also should not abandon its own foundations just because a message feels familiar to the people who work with it every day. Distinctiveness needs consistency, consistency needs repetition, and repetition becomes powerful when it is tied to a real strategy, not random content volume.
A better standard for AI-assisted content
If your team uses AI for marketing and communication, I would start with this:
Do not publish AI-assisted content just because it is correct. Ask whether it is correct for your brand.
Before it goes out, check:
- Does this sound like us?
- Does it connect to what we want to be known for?
- Does it speak to a real audience problem or desire?
- Does it strengthen our brand assets, voice or point of view?
- Would we be proud to repeat this direction many times?
That last question about repeatability is vital because brands are not built from content that merely passes. They are built from communication that compounds. AI can absolutely help with that, but it cannot do it from a blank brand foundation. The foundation comes always first. Then the content can become not only correct, but unmistakably yours.