Spend a year interviewing SEOs, agency owners, and content practitioners and you start hearing the same verdict from people who have no reason to coordinate: AI content, left to its own devices, collapses into sameness. It isn’t that the tools are useless — it’s that everyone is feeding them the same prompts and publishing the same average answer. That’s the problem human-certified content exists to solve.

There’s a structural reason for it. When an entire industry drafts from a handful of models trained on the same web, the output converges on the median. AI search only accelerates the effect: it rewards consensus, so the safest, most-repeated phrasing gets amplified and the whole category starts to sound like one slightly-bored voice.

“It just all blurs together”

Ask practitioners what they actually notice and they don’t describe a ranking penalty — they describe a feeling. Bruce Ashford put it most bluntly when we talked about messaging and differentiation:

“AI script is soulless. People can tell when something’s written by a machine. And now that everybody is doing their writing with machines, it just all blurs together.”

— Bruce Ashford, Unscripted

“Soulless” isn’t a technical critique, but it’s the thing readers register first. And when every competitor drafts from the same model, the model’s median voice becomes the whole category’s voice. Sounding like everyone else is the exact opposite of standing out — and standing out is the entire job.

Commodity content, now at 1,000x

The economics make the stakes plain. Content only has defensive value if it’s scarce, and AI has made the generic version infinitely abundant. Jessica Malnik framed it precisely:

“If an LLM — or even someone who is not a subject matter expert — can write the exact same piece of content, that’s commodity, 10x copycat content. Now it can be 1,000x copycat content, because anyone can do that.”

— Jessica Malnik, Unscripted Small Business

That’s the trap. If anyone — a model, or a non-expert with a model — can produce the exact same piece, it has no moat, no matter how “optimized” it is. The only content that holds its ground is content only you could have written: your data, your clients, your hard-won opinion.

The connections a machine can’t make

Here’s the reassuring part for anyone who actually knows their subject. Originality isn’t a bigger training set — it’s a stranger one. A human mind connects things that have no business being connected: a 1920s advertising book and a modern marketing idea, a client story and an unrelated analogy. Chris Garrett named it:

“A human that read Scientific Advertising 30 years ago and reads a Seth Godin book this year is going to make a connection that even the best AI tool isn’t going to find — a human brain making random firing connections, possibly over caffeinated.”

— Chris Garrett, Unscripted

No prompt would ask for that connection, because no one knew it existed until a specific person made it. That’s information gain in its purest form — and it’s why serious practitioners guard their name against generic output. Erica D’Arcangelo named the line a lot of them quietly hold:

“I would feel very compromised if I used AI for something that I was putting out as my own work.”

— Erica D’Arcangelo, Unscripted

The takeaway

None of these people are anti-AI. They’re anti-sameness. The fix isn’t to write slower — it’s to start from something a machine doesn’t have: a real expert’s lived experience, in their own voice. That’s exactly what our expert interview library supplies, and why the next piece in this series is about why expertise is the moat AI can’t fake.