Bring Consistency to Your Brand Voice with AI

In this episode of Future Proofed, Nathan Thompson explores how AI is transforming brand voice management, addressing long-standing challenges in maintaining consistency across multiple marketing channels.

Key Takeaways:

1. Traditional brand voice struggles with inconsistency due to multiple channels, subjective interpretations, and staff turnover.
2. AI offers a solution for codifying and maintaining consistent brand voice across all channels.
3. Implementing AI involves uploading brand guidelines and creating channel-specific workflows.
4. Benefits include improved consistency, reduced impact of staff changes, and more efficient content creation.
5. Defining clear brand voice guidelines and regularly updating documentation is crucial.

Thompson argues that true brand voice consistency has been nearly impossible to achieve without AI, especially for large teams and multiple channels. He states, "As far as I can tell, brand voice has... been more a fun idea than a reality until now with AI."

The podcast highlights how AI platforms like Copy.ai can be used to create workflows that maintain brand consistency: "We can take our value propositions, our product lists, all of the information about the problems that we solve... and store it so it's trained and ready to go."

Thompson emphasizes the efficiency gains, noting, "You don't have to worry about turnover as much anymore... you can quickly get a new writer to use the same workflow as the past writer."

In conclusion, Thompson encourages marketers to embrace AI for brand voice management: "This is absolutely the year to strike on this."