The Generic AI Content Problem
You can tell AI-generated content immediately. It’s overly formal, it starts sentences with “Certainly!”, it uses phrases like “It’s worth noting that” and “In today’s fast-paced world”, and it has the personality of a corporate memo written by committee.
The problem isn’t AI. The problem is that most people are using AI without any brand context — which means the AI defaults to the average of everything it was trained on. Your brand becomes invisible.
The solution is training. Not model training — context training. Teaching the AI about your brand before it writes a single word.
The 5 Layers of Brand Voice
Before you can train AI to sound like you, you need to be precise about what “you” actually sounds like. Most brands can’t articulate this.
Here’s the framework we use with every client:
Layer 1: Vocabulary
Words you use. Words you never use. Industry terms you embrace. Jargon you avoid. Your preferred way to refer to your customers.
Example: A fintech startup might say “money” instead of “capital”, “customers” not “clients”, “simple” not “streamlined”.
Layer 2: Tone Dimensions
Rate yourself 1–10 on these scales:
- Formal ←→ Casual
- Serious ←→ Playful
- Technical ←→ Accessible
- Reserved ←→ Bold
- Institutional ←→ Personal
Layer 3: Structural Patterns
How long are your sentences? Do you use bullet points? Do you use rhetorical questions? Short punchy paragraphs or long ones? Do you tell stories or make arguments?
Layer 4: Values and Beliefs
What does your brand genuinely believe? What do you stand against? What topics do you have strong opinions on? What would make your brand never say something?
Layer 5: Reference Content
Your 10 best pieces of existing content — posts, emails, ads — that best represent how you sound at your best.
The Training Process
Once you’ve documented all five layers, training works like this:
Step 1: Build your Brand Voice Document
A 2–3 page document covering all five layers above. This becomes the system prompt for your AI content engine.
Step 2: Create style examples
For each content type you produce (social, email, ads), provide 3–5 examples of content you’re proud of. Show the AI what “good” looks like for you specifically.
Step 3: Create negative examples
Show the AI content you’d never publish. Explicitly label what’s wrong with each example.
Step 4: Test and calibrate
Generate 10 pieces of each content type. Rate each 1–10. For anything below 7, identify exactly what’s off and refine your Brand Voice Document accordingly.
Step 5: Lock the baseline
When you’re consistently getting 8+ ratings, freeze your Brand Voice Document and use it as the foundation for all generation.
Common Mistakes
Mistake: Vague instructions. “Write in a friendly tone” is useless. “Write like you’re explaining something to a smart friend over coffee, not presenting to a boardroom” is useful.
Mistake: Only defining what you want, not what you don’t. Negative examples are often more valuable than positive ones. The clearest way to define your voice is to show what it isn’t.
Mistake: Training on all your content, not your best content. Use only content you’d put in a portfolio. Mediocre training examples produce mediocre outputs.
The Result
When done properly, trained AI content should pass the “could we post this today?” test on first draft, with light editing.
It won’t be perfect. You’ll still spend 10–15 minutes per piece on review and refinement. But that’s a 70–80% time reduction from writing from scratch — while maintaining your actual brand voice.
