You can't automate brand voice, but you can train AI to respect it | MarTech
Briefly

You can't automate brand voice, but you can train AI to respect it | MarTech
"Start with your brand's voice A DXP with generative AI can produce text, images or videos in seconds, but they often sound generic. Your brand has a specific voice (witty, authoritative or empathetic) and your audience notices when the content doesn't match. Document your brand voice in a style guide. Conversational brands ban formal phrases like "furthermore" and use contractions like "you're." Technical brands prioritize precision and avoid slang. Feed these rules into your DXP's tone and style settings."
"Dig deeper: How to scale content without losing your brand voice If your martech stack doesn't have a DXP, you still need to maintain brand consistency across content. Custom AI assistants can help. Tools like Custom GPTs (OpenAI), Gemini Gems (Google), Claude Projects (Anthropic) or Grok (xAI) let you create a branded AI assistant that remembers your guidelines. Feed it your brand voice guide, three examples of on-brand content, your keyword list and preferred CTAs-the more specific your examples, the better your outputs."
Marketing teams face pressure to produce converting content while preserving brand identity. DXPs with generative AI can accelerate production but often yield generic outputs without direction. Forty percent of marketers prioritize AI for content creation, yet AI requires clear constraints and ongoing human review to stay on-brand. Document voice and tone in a style guide and feed those rules into DXP settings. Require team review of every AI output and replace hype with precise, on-brand phrases. Use custom AI assistants (Custom GPTs, Gemini Gems, Claude Projects, Grok) that store guidelines, examples, keywords, and CTAs to apply brand rules consistently.
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