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An AI Visibility Study by Track My Visibility
Last Updated :
23 Feb 2026
FEATURE achieves strong positioning and positive sentiment when included in AI answers but appears in only 14% of queries where it could reasonably be expected. The brand excels in branded queries but disappears in educational content where major retailers like Nike, Adidas, and StockX dominate.
The Coverage Problem
The Prominence Strength
Overwhelmingly Positive
Each Al engine reveals a different facet of the same authority gap
Rewards verifiable claims. FEATURE appears in raffle contexts but loses to Nike/Adidas in educational queries lacking boutique validation.
Rewards conceptual relevance. FEATURE fits lifestyle conversations but doesn't anchor explanations about sneaker technology or sizing.
Rewards brand storytelling. FEATURE appears in streetwear culture contexts but is excluded from technical product selection where educational depth is required.
Rewards explanatory necessity. Without comprehensive guides, FEATURE is rarely essential to building complete answers about sneaker selection.
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| Rank | Brand | Position | Visibility | Key Advantage |
|---|---|---|---|---|
| #1 | Nike | 1.6 | 23% | Brand authority + product education |
| #2 |  Adidas | 2.7 | 21% | Category explainers + tech innovation |
| #3 | FEATURE | 1.1 | 14% | Strong in comparisons, weak in category |
| #4 | New Balance | 3.5 | 14% | Heritage storytelling + technical specs |
| #5 |  KITH | 2.0 | 13% | Streetwear authority + collaboration docs |
Where content investment is needed to match or exceed competitive benchmarks in the six dimensions that AI systems prioritize for brand mentions
FEATURE relies on product listings and drop announcements. Missing: sneaker care guides, sizing tutorials, "how to choose" content, or authentication education that AI systems prioritize for non-branded queries.
14+ years of curation not structured for AI discovery. Awards exist but aren't prominently featured in schema. Limited documentation of authentication process, raffle fairness, or boutique expertise visible on-site.
AI defaults to StockX and GOAT for marketplace comparisons. No owned content explaining boutique advantages, authentication standards, or "FEATURE vs resale platforms" that prevents third parties from controlling the narrative.
Product pages use basic markup without FAQ schema, sizing guide structured data, or HowTo content. AI cannot map FEATURE to educational queries about sneaker selection or care.
Drop announcements are less effective than structured guides when competing for AI visibility in educational queries.
Brands that build sizing guides and authentication tutorials dominate AI answers, even against boutiques with superior selection.
Owning comparison content prevents major retailers from controlling boutique retail narratives.
AI favors entities that answer "why" and "how," not just "what." Depth of explanation builds durable visibility.
AI visibility compounds when structured, validated content is consistent across every channel.
112 unique prompts tracked within TMV
ChatGPT, Perplexity, Gemini, Google AI Overview
Feb 16, 2026 to Feb 23, 2026
Sneakers, Streetwear, Fashion & Accessories
Commercial-heavy with supporting informational, comparison, and trust queries
