Intarget for a Fashion Luxury Brand
AI Visibility Measurement
- SA360 PERFORMANCE CENTER
- SEASONALITY ADJUSTMENTS
The evolution of generative artificial intelligence models is redefining how consumers and prospects discover brands, products, and categories. For luxury brands, understanding how platforms such as ChatGPT, Gemini, and Perplexity interpret, describe, and recommend their brand has become a strategic priority in managing emerging search and discovery journeys.
To address this transformation, a leading international luxury brand partnered with Intarget to analyze its positioning within AI ecosystems through BAIS (Brand Artificial Intelligence Share), our proprietary platform designed to measure brand visibility across AI-generated responses.
Goal
The goal of the project was to understand how the brand was represented by leading AI models and identify opportunities to strengthen its visibility and relevance within emerging search environments.
The challenge was to transform visibility across generative platforms into a measurable metric, identifying both the distinctive brand assets already recognized by AI systems and the areas where the brand’s relevance lagged behind competitors.
The analysis was also intended to support future content, SEO, and communication strategies by providing a deeper understanding of the factors influencing responses generated by Large Language Models (LLMs).
Strategy
Intarget leveraged BAIS to analyze the brand’s presence across key business categories and benchmark it against major competitors.
The project combined AI visibility analysis with a detailed assessment of brand-related topics, identifying the themes most strongly associated with the brand by generative models, as well as those characterized by lower visibility and coverage.
By comparing categories, attributes, and user search patterns, it was possible to identify the areas where the brand already demonstrated strong authority and those where opportunities existed to expand its informational presence.
The analysis also translated these insights into strategic recommendations aimed at improving AI systems’ ability to understand, contextualize, and highlight the brand’s distinctive attributes.
Results
The project revealed the brand’s strong ability to emerge in conversations related to its core values, confirming the effectiveness of the narrative built over time around quality, heritage, and craftsmanship.
Key insights included:
- High recognition in areas most aligned with the brand’s DNA, where AI consistently associates the brand with its distinctive attributes.
- Greater competitiveness in highly specialized categories, characterized by a strong connection between brand identity and user intent.
- Identification of information gaps in more fashion-driven categories, where conversations are influenced by trends, shopping experiences, resale dynamics, and evolving market factors.
- Definition of new editorial and semantic opportunities to expand the brand’s presence across AI-generated responses.
The analysis demonstrated that AI visibility can be measured, monitored, and optimized through a structured approach, transforming generative platforms into a new strategic channel for brand growth.
Overall, the project confirmed the value of BAIS as a decision-support tool, enabling brands to understand how they are perceived by AI ecosystems and develop strategies designed to increase relevance, authority, and competitiveness across emerging discovery journeys.
