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An AI Visibility Study by Track My Visibility
Last Updated :
10 Feb 2026
Out of 84 possible AI inclusion opportunities, Whiz-Q was surfaced in roughly 11 responses. The brand excels in branded, transactional, and pricing prompts but disappears in category-defining educational queries where nationwide retailers dominate.
The Coverage Problem
The Prominence Strength
Overwhelmingly Positive
Each Al engine reveals a different facet of the same authority gap
Rewards verifiable claims. Whiz-Q appears when statements about pricing, delivery, and inventory can be cross-referenced.
Rewards conceptual relevance. Whiz-Q fits into conversations about regional suppliers but doesn't anchor explanations around stone.
Rewards category definition. Whiz-Q is excluded when it fails to answer the "why" behind material selection.
Rewards explanatory necessity. Whiz-Q is rarely seen as essential to building complete, authoritative answers about landscaping.
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| Rank | Brand | Position | Visibility | Key Advantage |
|---|---|---|---|---|
| #1 | 3.1 | 29% | Category education + national reach | |
| #2 | 2.9 | 18% | Structured guides + installation tutorials | |
| #3 | 1.7 | 15% | Premium hardscape authority | |
| #4 | 1.0 | 13% | Strong when branded, weak in category | |
| #5 | 3.3 | 8% | Commercial stone expertise |
Where content investment is needed to match or exceed competitive benchmarks in the six dimensions that AI systems prioritize for brand mentions
Regional supplier positioning without category-level educational content. Missing: guides on "best stones for Texas climate", "how to choose patio materials", or "gravel vs decomposed granite".
Limited presence in: comparison guides, climate-specific recommendations, project tutorials, or structured FAQ content that answers buyer questions at scale.
AI defaults to Home Depot and Lowe's for material comparisons because national retailers own the comparison narrative.
Product inventory pages lack FAQ schema, HowTo markup, and educational structured data. Without machine-readable decision support content, AI cannot confidently recommend the brand for non-branded discovery queries.
Each recommendation addresses a specific structural weakness in how AI systems currently evaluate and surface the brand
Persuasive brand copy is less effective than clear, machine-readable explanations when competing for AI visibility.
Brands that build category-level hubs dominate AI answers,competing against established local suppliers.
Owning your own comparison content prevents competitors and reviewers from controlling the narrative.
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.
84 unique prompts tracked within TMV
ChatGPT, Perplexity, Gemini
Feb 05, 2026 to Feb 10, 2026
Natural Stone, Hardscape Materials, Landscape Supplies
Commercial-heavy with supporting educational, comparison, and localized purchase queries