AI Content Quality
Why AI needs your brain, not just your brand.
There’s a quiet shift happening in digital content creation. SEO is no longer just about websites — it now reaches into blog posts, video descriptions, podcasts, and even internal documents. And that’s fine. Helpful, even.
More and more businesses are being encouraged to write plainly — swapping ambiguous slogans for search-friendly phrases. For example, instead of a headline like “Ready for the next step?”, a better option might be “Career coaching for midlife professionals”. Clarity is making a comeback, and that’s a good thing.
But there’s also something else happening. A creeping kind of laziness.
The convenience of AI tools like ChatGPT — wonderful, brilliant, generous as they are — has made it too easy to bypass human thinking altogether. Throw in a few keywords, select a niche, click “generate 500 words,” and up it goes. SEO box ticked. Job done.
Except… is it?
I’ve uploaded that kind of content before. Not for our business, and not with our name on it — but I’ve done it. It was outsourced, white-label work and it lacked the care I’d normally bring to a project. It wasn’t my job to quality assure the work. If I did sometimes question it, I felt I was seen as fussy, a little inconvenient…
It was plausible, but sometimes inaccurate. It didn’t feel like it reflected the voice, values, or context of the business it was meant to support. The material was published without the business fact checking or approving the content.
It didn’t sit right.
So I stopped.
Because here’s the trick: “Plausible” is not the same as “true.” Especially in sectors like health, law, finance, or education — where clarity and accuracy are critical. A wrong claim in a warm, conversational tone is still a wrong claim. It just takes longer to notice.
Others have been raising this flag
Search Engine Land recently published a piece warning that mass-produced AI content often leads to what Google now recognises as “search spam” — content that’s technically correct but functionally empty. The folks at Ahrefs emphasise that AI needs strong human guidance to produce content that’s actually useful and trustworthy.
Jay Graber, CEO of Bluesky, put it plainly: “Don’t fully outsource your thinking to AI.” That holds true whether you’re a developer, writer, or small business owner.
And publications like The Guardian and Tom’s Guide have all highlighted a growing problem with “AI slop” — content that floods the internet with plausible-sounding, low-quality writing that frustrates users and erodes brand trust.
What they’re all saying is this: AI can generate content — but it can’t generate care. That’s our job.
Australian experts agree: AI needs a human in the loop
In Australia, respected academics and government bodies are voicing a clear message: AI-generated content must remain under human guidance.
Professor Jean Burgess (QUT, ADM+S) warns that automated systems increasingly shape public discourse. Without human input, they can easily lose relevance, accountability, and trust. Professor Axel Bruns (QUT, ADM+S) explores how algorithms impact public knowledge, journalism, and digital culture — reinforcing the need for human stewardship.
Professor Mary-Anne Williams (UNSW Business School) leads research into human-centred and explainable AI. Her work supports the concept of human-in-the-loop design — where humans review, guide, and refine AI outputs to ensure transparency, accountability, and relevance.
Australia’s AI Ethics Principles, published by the Department of Industry, Science and Resources, call for:
- Human-centred values
- Clear accountability
- Ongoing human oversight in AI systems
These principles are currently voluntary, but there is movement towards regulation — particularly in high-risk areas like health, law, and public communications.
So what does good AI-assisted content actually look like?
It’s shaped by someone who knows what the business stands for, what the audience cares about, and what the message needs to achieve. It’s edited for clarity, not just grammar. It includes local relevance, real examples, and a tone of voice that actually sounds like you. In short, AI gives you speed. You give it soul.
Small and medium businesses are being sold the dream of instant content and faster rankings. But a lot of that “quick win” thinking leads to long-term damage. You end up with content that’s off-brand, inaccurate, or so bland it disappears. Or worse — it makes you sound like everyone else.
We’ve got used to fast everything – fast food, fast shipping, fast content. But the truth is, trust isn’t fast. Neither is reputation. Building something worth finding still takes thought, care, and time – even if you get help along the way.
I know this isn’t a radical insight. But in a world chasing scale, there’s something quietly powerful about choosing to do things properly. Especially when no one’s watching. Especially when your name’s not on it. Because how we work matters – not just what we produce.
So yes, use AI. Let it speed up the first draft, suggest a heading, organise your ideas. But please…
Insert human.
Preferably a smart one.
Shelley Murphy
Partner - Little Fat Birdie
