The irony of the AI content explosion is this: everyone is using AI to produce more content, and almost all of it sounds the same. The same sentence structures. The same opening hooks. The same list formats. The same hedging language. The same relentlessly positive, professionally warm, vaguely motivational tone that belongs to no brand in particular.
If this is what your content sounds like, you have outsourced your brand voice along with your writing workload.
Why AI Content Sounds Generic by Default
AI language models are trained on the most common patterns in written language. When you ask for "a LinkedIn post about brand strategy," you get the most statistically likely version of a LinkedIn post about brand strategy — which is the version that looks like every other LinkedIn post about brand strategy. The model is optimising for coherence and relevance, not distinctiveness.
To get distinctive output, you have to provide distinctive input. Generic prompts produce generic content. Branded, specific, contextual prompts produce content with personality.
The Briefing Approach That Changes Everything
Before writing a content prompt, provide context: your brand's personality in operational terms, not adjective lists; examples of content that sounds like you; the specific audience this piece is for; the specific point you want to make; and what you do not want (the clichés and phrases your brand would never use).
The prompt for a brand-specific post is five times longer than the prompt most people write. That investment pays back in output quality by an order of magnitude.
Training AI on Your Voice
Share your own writing with the model. Past content you have written that felt genuinely on-brand. Client communication examples. Recorded conversations transcribed. The model learns patterns from what you give it — give it your specific patterns, not just a description of them.
In Claude and ChatGPT, you can create custom instructions or system prompts that persist across conversations, embedding your voice guidelines so every session starts from your specific brand context rather than from default patterns.
The Editing Protocol
AI content should always be edited before publishing — but the editing brief should be about brand accuracy, not just quality. Ask: does this sound like us or does it sound like a brand trying to sound like us? Is there anything here we would never say? What is the most generic phrase in this piece and how do we replace it with something specific?
The most valuable editing skill in an AI-assisted content workflow is the ability to identify and eliminate the statistical average — the phrase that is technically correct but belongs to no voice in particular.
The Content Quality Test
Before publishing any AI-assisted content, ask: could this piece have been written by one of our five closest competitors? If yes, it is not distinctive enough. Brand content should be recognisably yours — the argument, the examples, the phrasing, the opinion — even when the production was AI-assisted.
Building a brand that sounds distinctively human in the age of AI is one of the most valuable competitive advantages you can build. We can help you build the systems that make it possible.