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A collection of over 250 uses for artificial intelligence

A continually updated list exploring how different types of AI are used across various industries and AI disciplines,including generative AI use cases, banking AI use cases, AI use cases in healthcare, AI use cases in government, AI use cases in insurance, and more

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Brand style and voice matching

Introduction

In the present world of marketing, it is very important for the brands to maintain brand voice and style. It is the brand’s voice and style that makes the brand unique and different from other brands in the market, and, perhaps even more importantly, makes the brand relatable to its target audience. However, it is a very complex and time-consuming task to control brand voice and style in the course of the brand’s activity, especially taking into consideration how rapidly digital marketing develops. This is where AI, specifically Gen AI, comes into play. The branch of AI which is most relevant to this paper is the Generative AI, also known as AI that can create data that is similar to the data it has been exposed to. In the marketing field, Gen AI is being utilized in maintaining the brand voice and style to provide a coherent and captivating content to the consumers.

Challenges

The issue of how to ensure brand voice and style consistency also has a number of challenges. First, it entails having a proper understanding of the brand’s personality and the image that the brand aims to convey to its consumers. This can be complicated to define and all the more complicated to implement into actual standards for copywriting. Second, it calls for a high degree of oversight to make sure that every piece of communication reflects the brand voice and style; this can be very tedious and tiring. Third, the brand voice and style must change with the brand’s growth and development, but in a way that is consistent with the brand’s original platform. Finally, in today’s interconnected world, brands must be able to shift their communication approach according to language and culture and at the same time, keep it coherent.

AI Solutions

Gen AI solves these problems by applying the principles of machine learning to mimic the voice and choices of a specific brand. It begins with the process of training the AI model with a vast collection of content that best represents the brand’s voice and style. The model learns from this content and is then capable of creating new content that is in line with the brand’s voice and style. Some of the complex AI models can even transform the brand voice and style into different languages and cultures with the same level of accuracy. Some AI solutions like IBM’s Watson, for instance, takes it a step further by using Natural Language Understanding to determine the sentiment and tone of the brand’s content which means that not only will the AI copy the brand’s voice and style but also its emotional tone and feel.

Benefits

Using Gen AI for brand voice and style matching offers several benefits. It can significantly reduce the time and effort required to create consistent content, freeing up human resources for more strategic tasks. It allows for scalability, making it possible for brands to maintain a consistent voice and style across all platforms and types of content, regardless of volume. It also enables adaptability, with AI models capable of learning and evolving with the brand. Finally, it can improve customer engagement by ensuring that all content resonates with the target audience in the same way.

Return on Investment

It is possible to achieve a high return on investment when implementing Gen AI in brand voice and style matching. This can help cut down on costs for content creation since the process is automated and does not require a lot of oversight by humans. It can also increase revenue by enhancing the customer engagement and brand loyalty, which are greatly enhanced by maintaining a proper brand voice and style. According to a study done by Lucidpress, brands that are consistent can increase their revenue by as much as 23%. In addition, the nature of AI models means that the brand is future-proofing the brand since the brand can always remain relevant to its consumers.

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