How to encode your brand voice into AI tools

Encoding brand voice into AI tools requires strategic planning. Nataly Kelly, CMO of Zappi, shares her methodology for maintaining authentic brand identity across AI-generated content. She demonstrates how to document brand values, create detailed style guides with specific examples, and continuously train AI tools through iterative feedback loops to ensure consistent voice across all marketing channels.

Episode Chapters

  • 00:15: Encoding Brand Voice in AI

    The discussion explores how marketers can effectively encode their authentic brand voice into AI systems to avoid generic-sounding content.

  • 02:00: Authentic Brand Expression

    Brand voice should reflect core values and identity, whether for personal or corporate brands, while maintaining authenticity across all content.

  • 04:00: Documenting Brand Identity

    Clearly documenting brand values, style preferences, and specific language choices creates a foundation for consistent voice that can be scaled across teams and tools.

  • 06:00: Training AI with Examples

    Providing AI tools with specific examples of on-brand and off-brand content helps train them to maintain consistent voice and style in generated content.

  • 08:00: AI Writing Pitfalls

    Using AI without proper training can lead to issues like unintentional plagiarism, highlighting the importance of careful tool configuration and oversight.

  • 10:00: Voice-to-Text Content Creation

    Speaking ideas and using AI to transcribe and refine them can create more authentic, natural-sounding content while accelerating the content creation process.

  • 12:00: AI Writing Toolkit

    Creating specialized AI projects for different writing tasks like hooks, newsletters, and editing helps streamline content creation while maintaining brand consistency.

  • 14:00: Human-AI Collaboration

    AI tools work best as assistants rather than replacements, requiring human editing and oversight to ensure content truly reflects the brand's authentic voice.

Episode Summary

  • How to Encode Your Brand Voice into AI Tools

    Introduction

    In this episode, Nataly Kelly, CMO of Zappi and co-author of "Brand Global Adapt Local," shares strategies for effectively encoding authentic brand voice into AI systems. As AI becomes increasingly prevalent in marketing—with 45% using it for data analysis, 40% for market research, and 20% for copywriting—the challenge lies in co ecting these functions to ensure AI-generated content authentically reflects your brand voice rather than producing generic content that gets lost in the noise.
  • Establishing Your Brand Voice Foundation

    The process of encoding brand voice begins with clearly defining your mission and values. "If you're not able to do great research, get that feedback, analyze the data, understand what it means, you can't include that in your writing, and you can't message it in a way that is compliant with your brand voice," explains Kelly. Whether developing a personal or corporate brand voice, the foundation comes from identifying what makes you different and what you stand for. For Zappi, their "Rebel Magician" persona reflects bold, punchy language that stems directly from the founders' values.
  • Creating Detailed Style Guidelines

    Moving from brand ethos to practical implementation requires detailed documentation with specific examples. Kelly recommends creating style guides with "do this, not that" examples that demonstrate what's on-brand versus off-brand. These guidelines should include specific terms, phrases, and word choices that align with your brand identity. For instance, Zappi uses playful language and word play (like saying "I'm Zappi to be here") that reflects their rebellious, bold persona. These specific guidelines become crucial when training AI tools to maintain consistency.
  • Training AI with Your Brand Voice

    The key to successful AI implementation is patience and consistent training. Kelly recommends feeding successful content examples into AI tools and asking them to analyze patterns and unique elements of the writing style. This process helps identify unconscious patterns that can be leveraged in future content. "I always, whenever I write anything, feed it into one of these tools... What are the common trends? What's that mean for the style? And that way I can use that for the next prompting to leverage it and make it consistent," she explains. This iterative training process is essential for elevating your brand voice through AI.
  • AI as Assistant, Not Replacement

    Kelly's approach to AI emphasizes using it as a tool rather than a replacement for human creativity. She structures her AI workflow around specific writing functions rather than final outputs—creating separate projects for hooks, editing, and different content formats. For example, her "Hook Architect" project in Claude is trained on high-performing hooks from past content. She also maintains separate projects for different audiences and content types, like LinkedIn newsletters, each with their own templates and voice guidelines.
  • Human-in-the-Loop Approach

    Despite sophisticated AI training, Kelly emphasizes that human editing remains essential. She cautions against using AI to write completely from scratch without proper training, sharing a cautionary tale where ChatGPT inadvertently plagiarized content when asked to rewrite a section of her article. Unlike many marketers who use AI to increase content volume, Kelly uses it to synthesize, condense, and improve quality while maintaining brand alignment. The distinction is critical: AI can write in your voice, but it's not you—which is why the human element remains irreplaceable.
  • Conclusion

    Successfully encoding your brand voice into AI tools requires establishing a clear foundation of values, creating detailed style guidelines with specific examples, consistently training AI with successful content, and maintaining human oversight throughout the process. By approaching AI as a collaborative tool rather than a replacement for human creativity, marketers can leverage these technologies to create more consistent, authentic content that truly reflects their brand voice while maintaining the human co ection that resonates with audiences.
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