Identifies Which Messaging & Content to Optimize for Stronger AI-Driven Results
“More than a billion people in 100+ countries engage with Google’s AI Overviews every month,” said Jack Smyth, Chief Solutions Officer for AI, Planning, and Insights at Jellyfish
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Need for New Tool Confirmed by YouGov Research: 66% of Gen Z Turn to AI Tools Like ChatGPT for Brand, Product & Service Recommendations
The Brandtech Group’s Jellyfish has unveiled its exclusive Share of Model™ Platform – a first-of-its-kind solution that enables companies to analyze how different Large Language Models (LLMs) perceive their brands, products and services. Critically, the new platform can identify whether or not brands are optimizing their digital presence enough to prompt coveted recommendations from Gen AI models such as ChatGPT, Google’s Gemini and Meta’s Llama, when people tap into them for guidance.
This solution allows brand marketers, for the first time, to close the loop from LLM research into a digital marketing strategy. In beta trials, the Share of Model™ Platform helped brands expand their keyword strategy, driving insight around adjusted website text and image assets to appeal more to each model. It was also successfully leveraged for competitive analysis, to understand how AI models perceive competitors and identify gaps in their strategy to dominate emerging opportunities.
“More than a billion people in 100+ countries engage with Google’s AI Overviews every month,” said Jack Smyth, Chief Solutions Officer for AI, Planning, and Insights at Jellyfish. “This marks a transformative moment in the influence and reach of Gen AI. LLMs are no longer just tools; they are a critical part of the customer journey and an audience in their own right. Our Share of Model™ Platform empowers brands to understand how LLMs perceive their category, competitors and content.”
Danone VP, Global Head of Media & Integrated Brand Communication, Catherine Lautier said: .”LLMs will increasingly influence customer behavior, and the Share of Model platform enables us to track and compare each LLM’s perception. It gives us insights on how our brand ecosystems’ compare to competitor brands, what drives the interest of consumers online in a given category, and how to develop content on the different platforms analyzed by the different LLMs to stand out.”
