Brand performance measurement in the age of Search AI
As large language models (LLMs) like ChatGPT, Gemini, Perplexity and others revolutionize how customers search, shop, and engage with content online, it is crucial for brands to rethink how they track and optimize their marketing strategy.
These AI platforms are not just tools for context generation to chat interactions; they are increasingly becoming influential in shaping consumer choices, as the YouGov x Jellyfish Survey (October 2024) highlights. According to this survey, 66% users aged 18-25 report they ask AI Services such as ChatGPT, Google's Gemini, Meta AI to make a recommendation about a brand, product or service and even older demographics are starting to show substantial adoption rates.
Introduction to Share of Model™ Platform the new metric
In the age of AI-driven content, understanding how your brand is perceived by LLMs models is crucial. Large language models, like GPT-4o, is now shaping brand visibility by influencing how often and in what context brands are mentioned.
Our vision is to empower marketing teams with our platform that allows them to track, understand, and optimize their brand’s presence and performance on leading AI-powered search platforms like ChatGPT, Gemini, and LLaMA.
Introduction to AI Brand Awareness
Within a Category
Brand awareness is a key metric in determining a brand's visibility and recognition within a market. When evaluated through Large Language Models (LLMs), awareness in a specific category provides unique, data-driven insights into how often a brand is mentioned or recognized in various digital contexts. This approach to measuring awareness helps brands understand their presence in the broader landscape, enabling them to refine their marketing and communication strategies for greater impact.
For further deep dive read our detailed article on this analysis:
Introduction to LLM Perception Analysis
In a Category:
Perception is a crucial factor in understanding how brands are viewed by consumers and stakeholders, shaping overall market positioning within a given category. In this analysis, we explore brand perception through the lens of Large Language Models (LLMs), which offer an unbiased, data-driven evaluation of brands based on their strengths and weaknesses. By prompting LLMs to compare brands in their specific category, we gain a unique perspective on the key perceived attributes that define each brand's market presence.
For further deep dive read our detailed article on this analysis:
Within specific attributes:
Perception of specific brand attributes, such as quality, innovation, or customer service, provides a detailed view of how a brand is evaluated in the market. Large Language Models (LLMs) offer quantifiable insights into how these attributes are perceived, making it possible to compare your brand against competitors on a range of factors.
For further deep dive read our detailed article on this analysis: