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How to Make AI Write Like You with Yarnit’s Brand Hub

The Impact of Brand Voice in Marketing

In the world of marketing, brand voice holds immense power. It's the unique personality and tone that sets a brand apart from its competitors and resonates with its target audience. Some of the world's top brands have leveraged their brand voice to create a lasting impact.


For instance, Coca-Cola is known for its friendly and positive brand voice, focusing on themes of happiness and togetherness. Nike, on the other hand, has a heroic and life-changing brand voice, inspiring people to push their limits and achieve greatness. Consumers subconsciously associate these values with the brands because of this voice, showcasing the diverse ways in which brand voice can shape a brand's identity and messaging.


A brand voice can ultimately make or break consumer perceptions and behaviors. This means that brand voices are more important than ever before, in an era of AI-driven content. AI has already made a huge impact in marketing, with 88% of marketers believing that they need to adopt AI to stay competitive and meet their customer’s expectations. However, it is difficult to integrate a brand voice into AI-generated content due to its inherent limitations.


In this blog, we'll talk about the challenges of AI-generated content for brands, ways to create brand-specific content, and solutions to take your branded marketing to the next level. Read on to know more.


Challenges of AI-Generated Content


While AI technology has revolutionized the field of marketing, it comes with its own set of challenges while trying to capture a brand’s approach to marketing. AI-generated content often lacks what makes a brand special, falling behind in key aspects of the branding such as design language, brand knowledge, and brand voice.


Some of the key areas where AI-generated content doesn’t match up include:


  • Speaking Like the Brand: AI must be able to understand and adopt the specific tone, language, and personality that define a brand. Whether it's a friendly and casual tone or a more formal and authoritative voice, the AI must be trained to align with the brand's established communication style. This requires a deep understanding of the brand's values, mission, and target audience.

  • Shared Memory of Customer Understanding: To create content that resonates with the audience, AI must possess a shared memory of customer preferences, beliefs, and pain points. It needs to understand what matters most to the customers, what challenges they face, and what solutions they seek. Without this context, the AI-generated content may fail to address the audience's needs effectively.

  • Comprehension of Brand Aesthetics: Each brand has its own distinct visual identity, which extends beyond just logos and color schemes. An AI marketing tool must be able to grasp the overall aesthetic that the brand aims to convey through its content. This includes the choice of images, graphics, and design elements that align with the brand's personality and values.

  • Shared Memory of Company Knowledge: AI must have access to and understand the company's collective knowledge, including its products, services, history, and industry expertise. This shared memory allows the AI to create content that is informed by the company's context and can effectively communicate its unique value proposition.


These challenges highlight the nascent nature of off-the-shelf AI solutions for brand-focused content creation, as it often fails to capture the essence of a brand's identity and messaging.


Tricks to Make AI Sound Like You



Despite the limitations of AI-generated content, there are certain strategies and workarounds that can help in achieving branded output.


  • Provide brand voice prompts: This approach involves providing brand voice prompts as a saved instruction within chatbots like ChatGPT and Claude. These prompts will specify the preferred tone, vocabulary, and style guide. These prompts can outline the preferred tone, vocabulary, and style guide that align with the brand's identity. By doing so, the AI will be better equipped to communicate in a way that is consistent with the brand's image and messaging.

  • Create a reference document: Combine all your company information into a single document or a PDF which can be used as a reference for the AI. This can help it get a better understanding of your brand’s products, services, and offerings, infusing your company’s knowledge into the marketing copy. 

  • Use brand content as a reference: Another method is to use existing brand content as a reference and task the AI to reproduce the content in the desired style. By providing the AI with a clear example of the brand's style, it can then generate new content that aligns with these guidelines. 

  • Give brand guidelines as a reference: Leveraging brand guidelines as a reference document for the AI can offer valuable insights into the brand's unique voice and messaging. By incorporating these guidelines into the AI's programming, companies can ensure that the AI's interactions align with the brand's identity and maintain consistency across all customer touchpoints.


It's important to note that these are workarounds and may not always yield the desired results, given the inherent limitations of AI technology in capturing brand-specific nuances. To illustrate this, let's consider an example of two companies writing about the importance of project planning:


IT Service Company (AI Content): "Effective project planning is crucial for the successful execution of IT solutions. Our proven methodology ensures that projects are delivered on time, within budget, and to the highest quality standards. By leveraging our expertise in project management, we help our clients navigate complex IT landscapes and achieve their business objectives.


Atlassian (Brand Voice): "At Atlassian, we understand that great projects start with great planning. Our intuitive and collaborative tools, such as Jira and Confluence, empower teams to plan, track, and execute projects seamlessly. With our agile-friendly solutions, you can easily adapt to changing priorities and deliver value faster.


While both companies are addressing the same topic, their narratives are distinctly different. The IT service company emphasizes its methodology and solutions, while Atlassian focuses on its tooling and how it supports agile workflows. Without the context of each company's offerings and brand personality, AI struggles to differentiate and create content that aligns with their unique value propositions.


Yarnit's Solution: The Revamped Brand Hub


Yarnit recognizes the importance of infusing brand personality and context into AI-generated content. To address these challenges, we created an innovative and integrated solution, the revamped brand hub. Let’s dive into what this means for brands: 


  • Revamped Brand Hub: Yarnit's enhanced Brand Hub serves as a centralized repository for brand guidelines, tone of voice, and visual assets. This ensures that all content created through Yarnit is grounded in the brand's specific requirements and maintains a consistent brand experience across all use-cases.

  • Brand Voice: Yarnit's AI algorithms are trained on the brand's past creations, allowing the system to understand and replicate the brand's unique style and tone. By leveraging this historical data, Yarnit can generate content that feels authentic and aligned with the brand's personality.

  • Knowledge Hub Integration: Yarnit's Knowledge Hub acts as an alternate memory for the AI model, providing valuable context at the point of creation. By integrating company-specific information, such as product details, FAQs, and industry insights, Yarnit ensures that the generated content is accurate, relevant, and informed by the company's collective knowledge.

  • Customer Profiles: Brands can also upload information about their target audiences, creating comprehensive customer profiles that will be provided as context to the AI. This will help brands create hyper-personalized content that focuses specifically on the requirements  and problems of a single target segment. 


For example, when tasked with writing FAQs, Yarnit's AI can draw upon the company's Knowledge Hub to provide accurate and comprehensive answers, addressing concerns with the company’s products. Without this contextual information, an off-the-shelf AI may generate generic or inaccurate responses that fail to address the specific needs of the company's customers.


Here is a step-by-step guide on how to use the revamped Brand Hub:

  1. Click on the brand from the left sidebar to access the revamped Brand Hub.

  2. Click the Add Brand button on the top left to initiate the brand creation process.

  3. Use the Magic Fill feature to autofill your brand's description, extracting information from a URL or a document.

  4. Select your brand archetype and add customer profiles if needed.

  5. Navigate to the Brand Voice menu and select add brand voice, outlining the preferred tone and style guide.

  6. Access the Knowledge Hub from the sidebar to start adding brand knowledge and information, organizing it for easy retrieval and replication.

Getting the Most Out of Yarnit's Brand Hub

To maximize the use you can get out of the brand hub feature, you can use these handy tips and tricks.


  • Utilize the Knowledge Hub: Add the latest resources, pre-existing marketing content, or information from your company's internal documentation into the knowledge hub. These can then be used as knowledge nuggets through the Context Booster to add valuable insights and information to your content.

  • Organize your Brand Hub: Organize the brand archetype, customer profiles, and brand voice with meticulous detail to ensure that every piece of content created aligns with the brand's identity and messaging.

  • Curate your past content: Create a list of your past content that has set benchmarks as a starting point to get your brand voice just right. Use this content as a reference to set up multiple brand voices for different types of content. For example, you can establish a formal and informational voice for case studies, while using a more exciting and conversational voice for social media posts.


The new brand hub feature from Yarnit offers an unparalleled solution for infusing brand knowledge into AI-generated content. By leveraging this innovative tool, brands can enhance their marketing efforts, ensuring that every piece of content resonates with their unique voice and messaging.


The Brand Hub’s customer profiles will let you personalize your content to each of your target segments, while the brandkit will let you have complete control over the visual language of your brand. The Knowledge Hub will bring in your company’s vast knowledge, while the Brand Voice will let you present this information in your unique tone. 


Yarnit’s Brand Hub is already in full swing, with many of our customers using it for a variety of purposes. From creating marketing copy out of highly technical manufacturing documentation, to making thought leadership articles out of years of industry knowledge, Yarnit’s new Brand Hub has become the place to be for contextual content. Reach out to Yarnit today to embrace the power of the brand hub, and meet an AI that writes like you. 


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