A New Layer of Brand Discovery

How a Leading Fashion Brand Improved Its Presence Across AI-Driven Style and Shopping Queries
From fragmented visibility to consistent inclusion in AI-generated shopping recommendations


Our stats
Executive Snapshot
Visibility
0
24% → 52%
Share of Voice
0
14% → 31%
Top-3 Presence
0
7 → 26 prompts
Positive Sentiment
0
18% → 41%
About the Brand
A leading D2C fashion brand operating in a fast-moving, trend-driven category with strong competition across marketplaces and direct-to-consumer channels.
The Shift
Consumers increasingly rely on AI for fashion discovery:
• "Best brands for casual wear"
• "Where to buy affordable fashion"
• "Top clothing brands in India"
AI answers are shaping brand discovery and recommendations.
The Problem
• Fragmented presence across style and shopping queries
• Low inclusion in recommendation sets
• Heavy reliance on marketplace visibility
• Weak positioning across AI-driven discovery
What Inner Labs Did
• Strengthened presence across fashion editorial and shopping platforms
• Improved product-level content for AI readability
• Standardized positioning across style and category queries
Results
• Increased visibility across fashion discovery queries
• Improved inclusion in recommendation sets
• Stronger positioning across category-level prompts
What This Means
In fashion, discovery is increasingly AI-led.
Brands must align product, content, and positioning to appear consistently in recommendations.


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More Than a Dashboard
Inner Labs is not just an analytics tool. It is a system that helps brands that understand AI visibility, control brand perception, improve recommendation outcomes and much more.
