Everyone is using AI to write and most of it sounds the same. The fix is not a better model, it is a proper brand brief. Feed an AI your voice rules, real examples and tone guidance and it stops writing beige. The brands that document their voice will get usable output. The ones that do not will sound like everyone else.
The model is not the bottleneck. The brief is. Vague input produces beige output, every time.
Everyone is using AI to write, and most of the output sounds identical. Flat, polite, forgettable. The instinct is to blame the model. The real problem, as Search Engine Land puts it, is usually the brand rules you never gave it. If your AI keeps writing beige, it is because you never told it how you sound.
The fix is not a smarter tool. It is a proper brief. AI writes generic copy by default because generic is the safe average of everything it was trained on. To pull it off that average, you have to feed it the specifics that make your brand sound like your brand. Your voice rules, your tone, your vocabulary and, most importantly, real examples of writing you are proud of.
The practical method is consistent across the guidance. Collect ten to fifteen pieces of content that genuinely represent your voice, ideally high-performing and across different formats. Have the AI analyse the patterns in them. Then embed those patterns into a persistent set of custom instructions or a project workspace, so every future piece references them automatically rather than starting from scratch each time.
The brands seeing real value go further. They write platform-specific personas, so the same brand sounds professional on LinkedIn and high-energy on TikTok, and they document the rules clearly before they ever configure the tool.
Why it matters
For Australian businesses, this is the difference between AI saving time and AI quietly eroding the brand. Used without a brief, it floods every channel with the same flat voice as every competitor also using AI without a brief. The market starts to sound like one big undifferentiated hum, and standing out gets harder, not easier.
There is also a hard prerequisite hiding here. You cannot train an AI on a voice you have never defined. The exercise of documenting how your brand sounds is valuable on its own, and most businesses have never done it. The AI just forces the question.
The number of strong content examples recommended to train an AI on your brand voice before you rely on its output
What to do about it
The brands that document their voice will get AI that sounds like them. The ones that do not will get AI that sounds like the competition.