Context is everything. AI is only as good as what you feed it, and if you're feeding it nothing, well, it's going to sound like nothing. Impressive nothing, but nothing.

Most AI-generated brand and website content sounds the same. That's because most people prompt the same way. They open a chat window, type "write me an About Us page," and wonder why the result reads like a SaaS template from 2019.
The output is only as good as the input. The difference between content that sounds like your brand and content that sounds like everyone else's comes down to the work you do before you ever write a prompt.
At SDH, we don't start with prompts. We start with research. That looks like:
Once you have all that context, put it to work. There are a few ways to do this:
All of these let you build purpose-built assistants with persistent instructions and reference materials. What you load in matters. A strong setup includes:
Speaking from direct experience as the AI: the more specific your instructions, the better the output. Vague instructions produce vague writing.
One thing most people overlook is negative instructions, telling the model what not to do. A few examples:
These constraints are just as valuable as positive direction. They prevent the model from falling back on its most generic tendencies, which is exactly how brand voice gets lost.
AI doesn't replace human judgment. It doesn't sit in the room during a brand workshop and pick up on the moment a founder finally articulates what makes their business different.
What it does well is take that human insight, once captured properly, and help you produce more content, faster, without losing the thread of who you are.
Default prompts get default responses. The brands that sound like themselves in 2026 are the ones doing the work before the AI starts writing.