AI Visibility Case Study: A Collagen Product Group in the Dietary Supplement Market

Operating in the highly competitive dietary supplement industry, a leading food supplement brand aimed to go beyond traditional SEO performance metrics. The primary objective was to understand how its collagen product group performs within AI-powered search and answer engines, and to what extent the brand is referenced when users ask informational and comparative questions.

To achieve this, a comprehensive AI visibility analysis was conducted using the Brantial platform.

Evaluating AI Visibility Beyond Traditional SEO Metrics

While classical SEO focuses on rankings, clicks, and impressions, AI-powered answer engines operate differently. These systems prioritize:

• Semantic relevance
• Content depth
• Contextual consistency
• Clear, answer-oriented structures

This case study focuses on how a collagen product group performs within this new AI-driven discovery environment, particularly in non-branded user queries.

How the AI Visibility Analysis Was Designed

The analysis was based on a large-scale prompt monitoring approach within Brantial.

A total of 500 prompts were created for the food supplement brand and segmented by product categories. These prompts were intentionally designed to reflect real user behavior in AI-powered search environments.

Prompt Characteristics

All prompts followed four key principles:

• Informational intent (e.g. benefits, usage, effects)
• Comparative intent (e.g. types, differences, evaluation criteria)
• Usage-focused scenarios (e.g. daily use, routines, combinations)
• Fully non-branded queries, without referencing any brand name

This approach ensured that visibility was measured independently of brand recognition and purely based on content relevance.

Focus Area: Collagen-Related AI Prompts

Within the full prompt set, 243 prompts were specifically dedicated to collagen-related topics.

These prompts covered areas such as:

• What collagen is and how it works
• Different types of collagen
• Health and beauty-related benefits
• Usage recommendations and consumption patterns

Each prompt was tracked to identify which brands AI systems referenced when generating direct answers.

AI Visibility Results for the Collagen Product Group

The results revealed an exceptionally strong AI presence for the analyzed collagen product group.

Out of 243 collagen-focused prompts:

• The brand appeared in 240 AI-generated responses

This corresponds to an AI visibility rate of approximately 98.7%.

Such a high visibility rate indicates that the brand is consistently recognized by AI systems as a reliable and relevant source for collagen-related information.

Visibility in Non-Branded, Informational Queries

One of the most critical insights from this analysis is that the visibility was not driven by brand-based queries.

The brand was frequently referenced in:

• General informational questions
• Benefit-oriented searches
• Usage and comparison-based prompts

In other words, AI systems selected the brand as a source even when users did not explicitly search for it by name.

Why This Level of AI Visibility Is Significant

AI-powered answer engines do not simply reward keyword usage or traditional ranking signals. Instead, they favor content that is:

• Consistent across topics
• Comprehensive without being repetitive
• Semantically well-connected
• Structured in a way that is directly usable as an answer

The collagen content analyzed in this case aligns strongly with these principles.

As a result, it becomes “answer-ready” for AI systems and is frequently included in generated responses.

AI Visibility as a New Performance Indicator

Being mentioned, cited, or recommended by AI systems is rapidly becoming a critical visibility metric.

Unlike traditional SEO, AI visibility reflects:

• Topical authority
• Content trustworthiness
• Alignment with user intent at the knowledge level

This case clearly demonstrates that AI visibility is not abstract or theoretical. It is measurable, manageable, and strategically improvable.

Key Takeaway

The results achieved for this collagen product group show that a well-structured, non-branded, and semantically rich content strategy can drive exceptional visibility within AI-powered answer engines.

This case stands as a strong example of how AI visibility initiatives, when executed and monitored through platforms like Brantial, can deliver concrete and reportable outcomes beyond classical SEO metrics.