How Do You Train LLMs or AI Tools on Your Brand Tone of Voice?

AI tools are getting better at writing, but they won’t automatically capture your brand’s personality. Without clear guidance, they’ll default to generic copy that feels flat or off-brand.

The good news? You can train large language models (LLMs) and AI assistants to adopt your exact tone of voice – even if you’re not a tech company.

Here’s how we approach it for ecommerce brands.

Step 1: Define Your Tone of Voice in Plain Language

Before you feed anything to an AI tool, you need to define your tone of voice in human terms.

We recommend documenting:

• Personality traits – e.g. ‘confident but approachable’, ‘playful yet knowledgeable’

• Formality level – conversational, professional, or somewhere in between

• Pacing and rhythm – short punchy sentences vs long flowing paragraphs

• Language preferences – any words or phrases to avoid, regional spellings (UK/NZ/US)

• Formatting habits – use of headings, bullet points, or first/second person perspective

This acts as your ‘style baseline’ – the AI needs this to mimic you.

Step 2: Provide Strong Examples

LLMs learn patterns from examples. The more on-brand copy you feed them, the better.

Include:

• Product descriptions that match your tone

• Landing pages that convert well

• Email campaigns that felt ‘spot on’

• Blog articles or thought leadership pieces

These should be final, polished versions – not drafts.

Step 3: Create a Brand Prompt Library

Rather than starting from scratch each time, build a set of reusable prompts.

For example:

‘Write a product description in the voice of [Brand Name]. Use concise, benefit-driven sentences, British English spelling, and focus on emotional impact.’

‘Write an email headline that’s playful yet credible, max 8 words, no emojis, and includes a clear value proposition.’

This consistency helps the AI ‘stay in character’.

Step 4: Fine-Tune or Custom-Train if Needed

If you’re using advanced AI platforms, you can fine-tune them with your brand’s copy library. This involves feeding the model large batches of your own writing so it ‘learns’ the patterns.

This is more resource-intensive but can pay off for brands producing high volumes of content.

For simpler use cases, ongoing prompt refinement is often enough.

Step 5: Layer in Human Oversight

AI should accelerate your content creation – not replace human review. Always:

• Check for factual accuracy

• Make sure tone matches the brief

• Confirm it reflects current promotions, stock or seasonal angles

Think of the AI as your junior copywriter – it can draft quickly, but you still sign off.

How Atlas Studios Does It

For clients, we:

• Build a brand tone guide based on workshops and existing content

• Curate a library of approved copy examples

• Create tested AI prompts for different content types

• Train internal teams on editing and maintaining tone consistency

• Monitor performance and refine prompts based on results

The goal isn’t just faster content – it’s content that sounds like you, every time.

Final Word

Training AI on your tone of voice is a mix of art and process. With clear guidance, strong examples and consistent prompts, you can turn generic AI output into brand-perfect content.

Done right, your AI tools won’t just ‘write’ for you – they’ll write as you.