How to Use AI to Train on Your Brand Voice

Part 6 in our series: How Small and Midsize Businesses Can Use ChatGPT in Their Marketing

Every brand has a voice, but few use it consistently.

Across websites, emails, social posts, and ads, tone and phrasing can drift as new team members, agencies, or tools get involved. For small and mid-sized businesses (SMBs), this inconsistency can weaken trust and make content creation slower and more chaotic than it needs to be.

That’s where AI comes in.

Today’s large language models (LLMs), like ChatGPT and other generative AI tools, can learn and replicate your brand’s voice with remarkable accuracy. Once set up, they can serve as an always-on copywriting assistant that sounds like you.

Here’s how to make that happen.

Step 1: Define Your Brand Voice Clearly

Before AI can learn your voice, you need to teach it what that voice is.
Start by gathering a few reference points:

Your website homepage and “About Us” page
A few recent blog posts or newsletters that sound “on brand”
Social media posts that performed well
Any tone or style guide your team already uses

Then, describe your brand’s personality in plain language.
For example:

“We sound confident but never arrogant. We write in plain English and favor clarity over jargon. Our tone is professional, conversational, and a little witty.”

This description becomes the foundation for everything that follows.

Step 2: Create a “Voice Library” for AI to Learn From

AI tools learn best by example. Once you’ve defined your voice, collect real samples of your best writing: 3–5 examples per content type (web page, email, social post, etc.).

Then, when you start a new project, you can prompt the AI like this:

“Use the following examples to match our brand voice. Write a 200-word product announcement using the same tone and phrasing style.”

This combination of description and example helps the model mimic your writing naturally.

If you work with multiple team members or agencies, this “voice library” also becomes a single source of truth. This is a useful tool even outside of AI applications.

Step 3: Build Your Brand Voice Prompt

You don’t need custom software to “train” AI on your voice.Instead, you can use structured prompting to give the model enough context to generate consistent output every time.

Here’s a simple framework you can reuse:

Prompt Template:
“You are writing on behalf of [Company Name]. The brand voice is [insert your tone description]. Here are some sample passages written in this voice: [paste examples]. Based on this, write a [type of content] about [topic].”

You can save this as a reusable prompt in your AI workspace or knowledge base. Over time, refine it as you identify what works best.

Step 4: Review and Reinforce Consistency

AI can write faster than any human, but you still need human judgment to keep things on track.

Make a habit of reviewing AI-generated content for tone drift. If something feels “off,” note what’s wrong and feed that feedback back into your prompt:

“That last version sounded too formal. Make it friendlier without losing authority.”

This iterative feedback loop helps the model refine its understanding of your voice over time.

Step 5: Integrate AI Voice Training Into Your Workflow

Once you’ve nailed the process, integrate your brand-voice-trained AI into regular workflows:

Use it to generate first drafts of marketing emails or blog posts
Create social posts directly from new blog content
Repurpose long-form writing into bite-sized updates or ads

The key is speed with consistency, allowing your team to produce more high-quality content without sounding disjointed or off-brand.

The Payoff: Consistency at Scale

When AI understands your brand voice, you gain something rare: content that scales without losing personality.

You can onboard new team members faster, maintain quality across all channels, and spend more time refining strategy instead of rewriting copy.

For SMBs, that’s not just efficient, it’s transformative.

What’s Next in the Series

So far, we’ve covered how AI can help SMBs:

In the next blog post in this series, we’ll show you Risks, limitations, and what AI can’t do.

At verosidi, we help businesses design modern, scalable marketing operations that put the right tech and the right people to work on what matters. If you’re curious about how AI fits into your marketing stack, let’s talk.