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

How a Leading Fashion Brand Improved Its Presence Across AI-Driven Style and Shopping Queries

Our stats

Executive Snapshot

Visibility

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24%52%

Share of Voice

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14%31%

Top-3 Presence

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726 prompts

Positive Sentiment

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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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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.