AI, Large Language Model

How Generative AI impacts Brand Identity

By 4 Minute Read

Generative Ai and brandingWhy is Brand Identity so important in Today’s AI-Driven World

Brands are at the heart of customer loyalty and trust as well as corporate values and purpose.

Leading brands invest vast sums to protect, defend, and enhance their brands. And even though we often associate brands with large companies or consumer goods, brand recognition is also a winning strategy for B2B and even small- or medium-sized businesses. Now, in the age of artificial intelligence and digital technologies, the concept of creating and maintaining a memorable and lasting brand identity is key to competitive advantage and business success. 

The Impact of Generative AI on Brand Identity

Generative AI and Large Language Models (LLMs) can help brands enhance their identity and generate trust with customers in the following ways: 

1.Data Insights for Hyper-Personalized Engagement

Personalized marketing using AI

With the ability to generate deeper insights into customer preferences, trends, and market data, brands can more dynamically tailor marketing campaigns, product offerings, content, and services to meet the specific needs of various customer segments and demographics.

These capabilities far exceed traditional market segmentation and targeting practices to enable hyper personalization i.e. the creation of unique content that is tailored at an individual customer level. AI solutions can be designed to detect changing customer behavior and preferences and respond to these changes on the fly. This opens up new opportunities for brands to generate highly personalized messages and content at an individual level. 

One especially fun example of such hyper personalization was in Carvana’s Joyride campaign where the online car retailer leveraged AI technology to create hyper personalized videos for their car buyers as a way to appreciate them. In doing so, they wove together unique car buying journeys with key events surrounding each customer’s purchase, generating individual AI-generated video snippets.

Brands are acutely aware that customers are more likely to feel valued and understood when experiences are personalized to align with their individual preferences and lifestyles. Taking this to a level of hyper personalization using AI will only help build stronger brand identity and trust, provided that it is done right.

2. Sentiment Analysis for Consistent Brand Tone

Another attractive capability of Generative AI is its ability to perform advanced sentiment analysis. By analyzing sentiment and emotion at scale in customer feedback, social media interactions, and customer service conversation history, companies can better gauge the views of their customers. This can provide valuable input into how a brand positions itself and the brand image that best resonates with their customers. 

Brand voice and tone are important reflections of a brand’s values and how they want to be portrayed. Generative AI solutions can help ensure that a brand’s messaging and communications maintain a consistent tone that accurately reflects their brand identity. Also, by generating content and communications in a consistent brand voice, a cohesive brand image that resonates with customers can be created. 

By leveraging Large Language Models in understanding and responding to emotional undertones and in the generation of content that has a consistent and recognizable tone and voice, consumers will tend to perceive a brand as being reliable and trusted.  

3. Content Creation

Probably one of the most commonly recognized benefits of Generative AI is its capacity for generating content quickly and with a lot less effort. For example, it has greatly simplified the creation of marketing copy, where it is extremely powerful at helping content creators framework and generate storyboards, blogs, website copy, and social media content, with impressive levels of quality, when appropriately prompted.

Beyond assisting in the creation of textual copy, Generative AI is also being applied to video and image content generation where it can equally enhance efficiencies and allow for a broad range of more personalized video experiences. For example, generative AI can be used to help generate a video from a piece of content. It can also be used in the video editing process. These efficiencies enable brands to create more dynamic content that can adapt to changing customer interests and market dynamics – and all while adhering to the brand guidelines, tone, and voice.

Generative AI’s capacity for processing and generating natural language also allows for the creation of dynamic and engaging content that can adapt to changing customer interests and market dynamics.This agility ensures that brands remain relevant and can swiftly respond to new opportunities or challenges in the market.

Examples of Companies that have harnessed Generative AI for Creating Brand Identity

The beauty retail giant Sephora has harnessed generative AI to personalize the shopping experience for its customers, creating a unique brand identity centered around personalization and customer care. One of the many innovative ways that the company has leveraged generative AI is in generating landing pages in real time with product descriptions hyper-optimized to the consumer query. This use of AI had a significant impact on Sephora’s organic search visibility leading to an increased return on their investment in organic search and helping to better adapt to changes in consumer search behavior. The impact on business outcomes is clear, with increased sales conversions, higher customer satisfaction rates, and a strengthened position as a forward-thinking leader in the beauty industry.

Nike has integrated generative AI into its product design and customization process, allowing customers to play a role in creating their own unique products,  building a brand identity that values individuality and creativity. The impact on Nike’s business outcomes is significant, with increased customer engagement, higher sales of customized products, and enhanced brand loyalty. In reflecting on this, Ensemble Capital Management stated the following regarding NIKE, Inc. (NYSE:NKE) in its fourth quarter 2023 investor letter:

“More speculatively, we believe that in the years ahead Nike will be able to use generative AI to allow their customers to craft custom shoe designs. Nike already offers Nike By You, their custom shoe design service. But one of the amazing things about generative AI is its ability to create entirely novel and realistic images based on very limited information entered by the user. For instance, today the DALL-E AI offered by OpenAI can be prompted with statements such as “create a Nike shoe design inspired by the work of the painter Van Gogh.” By empowering everyday people to create novel concepts based on their ideas alone and without any design expertise, Nike can create entirely new, premium products in a way never before seen.”


In today’s AI world, brand identity has become critical to increased customer loyalty, trust, and market competitiveness. Brands are investing heavily to enhance their image, a strategy equally vital for large corporations, B2B enterprises, and small-to-medium businesses. 

Generative AI and Large Language Models (LLMs) have opened new opportunities for brands to strengthen their identity through hyper-personalized engagement and consistent brand tone, leveraging deep insights into customer preferences and sentiments. These AI-driven strategies allow for the creation of uniquely tailored content that help build stronger and more lasting connections with customers. Many businesses, especially in the retail and e-commerce areas, have proven that AI-led hyper-personalized experiences and product offerings result in improved business outcomes through increased engagement, satisfaction, and sales. 

Generative AI’s ability to generate content rapidly, ensure brand consistency, and adapt to dynamic market needs underscores its role as game changing in building brand identity with today’s savvy consumers.


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