The internet has developed a distinct texture lately. It is smooth, perfectly formatted, and entirely tasteless. It is the literary equivalent of a perfectly round, wax-coated supermarket apple. It looks flawless, but the moment you bite into it, you realise there is no juice, no crunch, and absolutely no soul.
We are living in the golden age of satisfactory content. Large language models (LLMs) can generate a clean, well-structured, 1,000-word guide on almost any topic in roughly twelve seconds. It will have correct grammar. It will have bullet points. It will pass an editorial check with flying colours.
It will also be completely invisible to your audience.
When everyone has access to a machine that produces instant, average content, average becomes a commodity. If your brand’s content sounds like a machine wrote it, your audience will treat it like noise. To survive, we have to learn how to write the things that algorithms cannot even begin to synthesise.
The sea of sameness (and why your brand is drowning in it)
Every marketing department in the world is currently staring at the same prompt box. They are asking the same tools to write about the same industry trends, using the same search engine data.
The result is a massive convergence. Brands that used to have distinct, punchy voices are suddenly sounding like polite, risk-averse robots.
This is the AI commoditisation trap. Because LLMs are trained on existing web data, they are essentially massive consensus engines. They look at what has already been written and predict the most likely next word. By definition, they write the average of what already exists.
If your content strategy is built on summarising the consensus, you are building a house on sand. You are spending time and money to produce content that your readers can get directly from their own AI assistants in a fraction of the time.
What large language models actually do (and what they can’t)
To beat the machine, we have to understand its boundaries.
An LLM does not know what a product launch feels like. It has never stayed up until 3 AM debugging a server failure, nor has it felt the quiet panic of a key employee walking out on a Friday afternoon. It does not have memories, regrets, or flashes of irrational inspiration.
It only has training data.
This means AI is incredibly good at synthesis, structure, and translation. It is terrible at originality, raw emotion, and lived experience. If you want to write content that stands out, you must stop competing on structure and start competing on soul.
The three ‘human-only’ signals that AI cannot synthesise
If you want to write things that a machine cannot mimic, you have to focus on the elements of writing that require a pulse. There are three core signals that define truly human content.
1. Lived experience (or the beauty of scar tissue)
An AI can write a beautifully structured guide to managing a remote team. It can list the top five tools, suggest a communication cadence, and remind you to “foster a culture of trust.”
What it cannot do is tell the story of Sarah, a founder who tried to run a remote team, watched her company culture disintegrate over Slack, and had to rebuild her entire operational model from scratch.
That story contains scar tissue. It has specific details, emotional highs, and messy failures. Lived experience is the ultimate antidote to commoditisation. If your content does not contain personal anecdotes, proprietary experiments, or real-world case studies, it is vulnerable to being replaced by a prompt.
2. The counter-intuitive take
Because AI is trained on consensus, it struggles with heresy. It will always recommend the safe, widely accepted path.
If you ask an AI how to grow a B2B SaaS business, it will tell you to build an email list, run LinkedIn ads, and publish SEO content. It will not tell you to stop marketing entirely for three months and focus solely on your customer support queue.
Humans, however, thrive on the unexpected. The most engaging content is often the stuff that challenges the status quo. When you write a piece that says, “Here is why the industry standard advice is completely wrong,” you are writing something an LLM would never generate on its own.
3. The hyper-local, un-googlable detail
The best insights are rarely found on the first page of Google. They are locked away in private Slack channels, offline conversations, and the brains of your busiest team members.
An AI cannot access the specific joke your sales team hears on every demo call. It does not know the exact, weird workaround your customers invented because your software lacks a specific feature.
When you inject these highly specific, un-googlable details into your writing, you instantly signal to your reader that you actually live in their world. You are not just summarising a search query; you are sharing a secret.
Practical ways to escape the commoditisation trap
Shifting away from generic content requires a deliberate change in how you plan and draft your articles. You cannot rely on the traditional “research, outline, write” workflow because that process naturally leads to copying what already exists.
Use this simple breakdown to evaluate your current content pieces before you hit publish:
| Content element | The AI approach (the trap) | The human approach (the escape) |
|---|---|---|
| Source material | Publicly available web pages and search results. | Internal data, customer interviews, and proprietary experiments. |
| Tone and voice | Polished, polite, and universally agreeable. | Opinionated, conversational, and comfortable with nuance. |
| Structure | Predictable H2s, bulleted lists, and a neat summary. | Narrative-driven, starting with a hook and ending with a challenge. |
| Value proposition | Summarises what is already known. | Introduces a new perspective or solves a highly specific problem. |
Building an un-copyable content engine
You do not need to banish AI tools from your workflow entirely. They are fantastic for proofreading, generating outlines, and brainstorming headlines. But you must change their job description.
Instead of letting AI be the creator, let it be the editor.
Start by changing how you gather information. Instead of sending a writer to research a topic on Google, have them spend fifteen minutes interviewing a subject matter expert inside your company.
Ask that expert questions like:
- “What is everyone in our industry getting wrong about this?”
- “Can you tell me about a time you tried the standard advice and it failed miserably?”
- “What is the one thing you wish our clients understood before they hired us?”
Take those raw, messy, opinionated transcripts and use them as the foundation of your content. Even if you use an AI tool to help clean up the prose, the core ideas, data, and perspective will remain entirely human. They will be un-copyable.
The future belongs to the opinionated
We are rapidly approaching a world where information is free, but perspective is priceless.
If your goal is simply to answer a question, a search engine or a chatbot will eventually do it better and faster than you can. But if your goal is to build trust, spark a conversation, and make your reader think, “These people actually understand my business,” then you have nothing to fear from the machines.
Stop trying to write like a perfect, polished database. Embrace the mess, the opinions, and the hard-won lessons. Write with the kind of personality that makes a reader stop scrolling, look at the author bio, and realise there is a real person behind the words.