Dr. Squatch: AI Search Visibility Research

As generative AI becomes a primary interface for search and discovery, brands are increasingly surfaced through summarized answers, recommendations, and citations rather than traditional rankings. This research examines how Dr. Squatch appears across AI-driven search platforms, including ChatGPT, Google AI Overview, AI Mode, and Gemini.

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The goal of this study is not to evaluate performance in absolute terms, but to document where and how the brand is represented in AI systems, what types of prompts surface Dr. Squatch most often, and which signals appear to influence visibility.

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Dr Squatch: AI Visibility Snapshot

• Overall AI Visibility Score: 41 / 100
• Monthly AI Audience Reach: 9.2M
• Total AI Mentions: 3.4K
• Cited Pages: 2.1K

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Dr. Squatch is consistently referenced across AI platforms, with mentions spread relatively evenly between ChatGPT, Google AI Overview, AI Mode, and Gemini. Visibility levels increased through September 2025, followed by a decline in October and stabilization in November.

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This pattern suggests a steady baseline of AI recognition, with visibility concentrated in specific topic areas rather than expanding broadly over time.

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Platform-Level Presence

Across platforms, Dr. Squatch appears most frequently in contexts related to:

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• Product ingredients
• Specific product categories (soap, deodorant, scrubs)
• Reviews and effectiveness-related prompts

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Mention volume is distributed as follows:

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The relatively even distribution indicates that the brand is well-recognized as an entity across multiple AI systems, rather than being dependent on a single platform.

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Topic-Level Visibility Patterns

Dr. Squatch demonstrates particularly high visibility for product- and ingredient-focused topics, including:

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• Deodorant ingredients
• Personal care product lines
• Soap scents and formulations
• Deodorant reviews and effectiveness

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Many of these topics show visibility scores in the high 90s, indicating that AI systems reliably associate Dr. Squatch with these subjects when prompted.

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Topics tied to reviews and effectiveness also show higher AI volume, suggesting that existing content, third-party references, and user-generated discussion contribute meaningfully to how the brand is surfaced.

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Citation Sources and Content Signals

Analysis of cited pages shows that AI systems most frequently reference:

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• The Dr. Squatch homepage
• Ingredient and product explanation pages
• Limited-edition collection pages
• A small number of blog posts focused on scents, ingredients, and comparisons

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While citation volume is relatively high, references are concentrated within a limited set of URLs. Over the measured period, the total number of cited pages declined slightly, indicating that AI systems are relying on a consistent but narrow group of sources to inform responses.

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Brand Representation in AI Outputs

Based on observed responses, AI systems most commonly describe Dr. Squatch as:

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• A men’s personal care brand
• Known for natural ingredients
• Associated with bar soap and deodorant
• Characterized by distinctive scents and formulations

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These descriptions align closely with the brand’s product positioning and messaging. However, broader brand narratives—such as category leadership, market context, or comparisons beyond individual products—appear less frequently in AI-generated summaries.

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Observed Visibility Characteristics

From a research perspective, several patterns emerge:

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• Visibility is strongest when prompts are specific and product-oriented
• Ingredient transparency and product explanations are consistently cited
• Brand-level or category-wide prompts surface Dr. Squatch less often than product-specific queries
• Citation diversity is limited to a small group of pages

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These characteristics suggest that AI systems currently interpret Dr. Squatch primarily through product attributes and use cases, rather than broader brand or category narratives.

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Implications for AI Search Visibility

This research highlights how AI visibility can vary significantly depending on prompt type and content structure. In Dr. Squatch’s case, AI systems demonstrate a clear understanding of the brand’s products and ingredients, while relying on a concentrated set of sources to support that understanding.

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As AI-driven discovery continues to evolve, visibility may increasingly depend on how well brands are represented across a wider range of informational, comparative, and category-level contexts.

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Closing Observation

Dr. Squatch maintains consistent recognition across major AI search platforms, with particularly strong representation in product-focused and review-driven prompts. This study illustrates how AI systems currently surface the brand, which signals are most influential, and where visibility is concentrated within the broader AI search landscape.