Artificial Intelligence Guidance: Brandtech's Chorus Translates AI Suggestions to Creative Tactics
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In the ever-evolving world of marketing, a new collaboration between Jellyfish's Share of Model platform and Collectively is making waves. This initiative, known as Chorus, aims to help brands navigate the increasingly AI-driven customer journey.
Chorus maps the latent-space associations of major Language Learning Models (LLMs), providing insights into which attributes are strongest and where gaps exist for a brand. However, there are no search results detailing how Chorus helps brands adapt to customers starting their purchase journey with large language models.
The collaboration between Jellyfish's Share of Model platform and Collectively is focused on influencer marketing and AI perception mapping. Chorus captures richer data about consumer interactions originating from AI-driven queries, attributes conversions more accurately when customers start with LLM-assisted discovery, and facilitates authentic content creation via consumer creators to address AI-driven customer needs.
Moreover, Chorus enhances brand strategies around conversational AI platforms. Brands can commission or optimize creator partnerships based on Chorus's findings to reinforce strengths and shore up weaknesses in a brand's AI reputation. The success of Haleon's campaigns, using Chorus for its wellness brands such as Advil, Emergen-C, and TUMS, underscores the importance of this approach.
By treating LLMs as critical gatekeepers, understanding their biases, adjusting messages, and leveraging creator authenticity, marketers can secure a place in both the human and machine-powered customer journey. The articles "Charting the Path Ahead for Creator-Led AI Strategy," "How AI is Transforming Influencer Marketing," "AI Discovery Is the New Search: Are Brands Ready?," and "The Rise of Virtual Creators: How AI and Avatars Are Shaping the Future of Content Creation" further discuss these aspects.
Brands that neglect the AI perception layer risk falling behind as the volume of AI-driven recommendations grows. Chorus guides targeted partnerships with influencers based on aligning creator-produced content with desired AI perceptions. This ensures an AI-consistent narrative across channels, maintaining coherence for both human audiences and algorithmic recommenders.
In addition, Chorus reflects a brand's AI-generated reputation back to marketers by running prompts and multimodal inputs like text, images, and customer personas. It evaluates real-world creator content against the brand attributes LLMs cite when recommending products. Chorus embeds AI perception data into creator-marketing planning to ensure brand narratives resonate with both human audiences and AI-driven discovery tools.
In conclusion, Chorus offers a roadmap for integrating creator marketing into the evolving landscape of AI-driven recommendations, aligning content investments with the algorithmic criteria that guide modern consumers. Brands that embrace this approach are well-positioned to thrive in the AI-driven future of marketing.
Technology plays a significant role in the collaboration between Jellyfish's Share of Model platform and Collectively, as Chorus leverages artificial intelligence (AI) to capture richer data about consumer interactions and facilitate authentic content creation.
Marketers can use Chorus to understand biases in language learning models (LLMs), adjust messages, and secure a place in both the human and machine-powered customer journey. This approach helps brands stay competitive as the volume of AI-driven recommendations continues to grow.
