Using AI for a strong brand voice: Dos and don'ts

AI can write a whole bunch of things. A haiku. A job ad. Probably your entire Q2 strategy if you ask it nicely. But when it comes to nailing your brand voice? That takes more than just typing “make it friendly” into a prompt box and hoping for the best.

AI isn’t a mind reader (yet). If you want your brand to sound consistent, confident, and actually like you, you’ve got to teach it how. That means feeding it your voice guidelines, giving it guardrails, and knowing when to let it help—and when to take the reins yourself.

So whether you're just dipping your toes into AI-generated content or already deep in prompt engineering, here’s your definitive guide to the dos and don’ts of using AI to strengthen your brand voice (without losing it in the process). Let’s get into it.

✅ Dos: How to use AI for a strong brand voice

1. Do: Train AI with brand voice guidelines and examples

   If you wanna make sure your brand voice is strong (and not generic, AI-generated content we can all spot for miles) then you need to feed your AI tools with sample copy, tone of voice documentation, and approved phrases to help them replicate your brand's unique style.

   Example prompt: "Here are examples of our brand voice—funny but professional, and always optimistic. Rewrite this product description in that style"

2. Do: Maintain tone across channels

   
   Consistent messaging is something go on—and on, and on—about, because it's so important to the customer journey and getting the most out of your marketing. Use AI to ensure consistency in tone across all your marketing channels, whether you're writing blogs, emails, or social posts by applying the same brand voice filters.
   
   Example prompt: "Write a newsletter intro about our new AI product launch in a confident, approachable tone that matches our website copy"

3. Do: Brand voice QA

   
   You can also quickly spot any stray content that doesn't align with your brand voice by using AI. How? Let it analyze big batches of content to flag any inconsistencies in tone or language, saving you a bunch of time and let's be real, boredom.
   
   Example prompt: "Scan these 20 blog intros and identify any that deviate from our brand tone: expert, conversational, and inclusive"
   

4. Do: Generate first drafts to save yourself time

   
   You know when you have an idea in your head, but you struggle to get it down on 'paper'? Well, when you train your AI tools with your brand voice and brand guidelines, you can get that first draft even closer to the final thing. Timesaver, alert. 🚨
   
   Example prompt: "Write a landing page headline and subheading in a bold, visionary tone for a new startup in clean energy"

5. Do: Localize your brand voice for different markets

   
   If you want to globalize as a business, you've got to localize too—and this counts for your content. With AI, you can adapt your tone for cultural context without losing your brand's core personality.
   
   Example prompt: "Adapt this English Instagram caption for a French audience while keeping the playful, casual tone intact—include local colloquialisms"
   

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   Localize to different regions and make your content more applicable to target industries with Optimizely Opal.

6. Do: Make the most of AI agents

   
   AI agents don’t need prompts—they can act independently, executing brand voice tasks across multiple channels automatically. Trained correctly, they can handle everything from content QA to localization, freeing you up for more creative work.
   
   Bonus: Need a read-up on AI agents? We've got you. And PS. Optimizely's AI agents automatically take your brand voice and guidelines into account for all its tasks and outputs.

❌ Don'ts: How NOT to use AI for brand voice

1. Don't: Assume AI gets your voice right out the box

   Risk: Sure, you might have pointed out to your chosen AI tool that you like your brand voice to be "friendly" and "bro-sy", but don't assume that it will get the output right every time. In fact, AI-generated content can often be generic, inconsistent, and off-brand (even with a little instruction)—it's one of the easier ways to detect AI content.

   Solution: Always provide clear inputs, tone guidance, and sample copy when prompting AI tools—and don't be afraid to give a few examples to give a real good idea of what you're looking for (unless you use Optimizely Opal, which adheres to your tone of voice and guidelines automatically).

2. Don't: Use AI-generated brand voice for sensitive messaging

   
   Risk: We suggest you either reevaluate using an AI tool or just make sure you do some heavy reviewing for crises, social issues, or customer complaints. Why? Well, for obvious reasons.
   
   Solution: Reserve sensitive or high-stakes messaging for human writers who understand nuance and audience emotion.

3. Don't: Let it replace your brand storytelling

   
   Risk: If you let AI content do all your storytelling, you risk a lack of real, authentic emotional connection and narrative depth. Which, BTW, is one of the main things that makes you stand out in an ultra competitive world and gets the attention of your target audience.
   
   Solution: Use AI to support storytelling, not replace it—humans should still craft your brand’s origin, mission, and voice pillars.

4. Don't: Ignore regional and cultural nuance

   
   Risk: Not all AI tools are made for translating content. The ones that aren't can make your translated content come across tone-deaf, irrelevant or inappropriate to different markets and cultures.
   
   Solution: Use AI to assist localization but always review with a native speaker or cultural expert... or just use Optimizely Opal. 👀
   
   

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5. Don't: Treat brand voice as a fixed template AI can mimic forever

   
   Risk: One-off AI training? You're just gonna end up with stale, repetitive content that turns your target audience off faster than a light switch.
   
   Solution: Regularly update your brand voice guide and retrain AI models with fresh examples to evolve with your audience.

Quick round-up: Best practices for using AI in brand voice

• Voice training: Feed your AI with tone guides, approved phrases, and brand examples to build a strong foundation.
• Consistent tone of voice: Use AI to apply your brand voice across all content types and marketing channels.
• Smart (and quick) QA: Let AI flag off-brand copy quickly by reviewing content in batches against your tone benchmarks.
• Localized tone: Adapt content for different regions and cultures without losing your brand personality.
• Evolving style: Keep updating your brand voice documentation and re-train AI to stay fresh and relevant.

Using AI for a strong brand voice: What's next?

Getting your brand voice right with AI isn't all you can do to work more efficiently and productively in your marketing.

The truth is, AI can play a valuable role at every stage of the content lifecycle—from planning and production to personalization, performance, and beyond. When used thoughtfully (and with the right guardrails in place), AI doesn’t just help you maintain your voice—it helps you scale it.

Curious about what that looks like in action? Explore the full content series: AI across your content supply chain.