Train custom AI models: Rather than using general-purpose AI generators, you can train AI models specifically on your existing marketing materials, website copy, social posts, etc. This helps the AI “understand” the unique terminology, tone, and style of the brand. Provide style guides and brand guidelines: You can develop detailed style guides that outline the specific vocabulary, tone of voice, and writing conventions you want the AI to emulate. These guides can then be used to train and evaluate the AI models. Audit and revise AI output: You should implement human-in-the-loop review processes to catch any instances where the AI generated content does not properly align with your brand voice and style. The AI output can then be rewritten or retrained accordingly. Do test run with lower stakes content: You should start by experimenting with simpler content types like social media posts or product descriptions to identify any gaps in brand voice alignment. This helps refine the AI models before deploying them for more critical marketing materials. Retrain models over time: Your brand voices might evolve, in such cases you need to continuously update style guides, re-feed content to the AI models, and retrain them to ensure alignment with the most current brand standards.