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An AI Visibility Study by Track My Visibility

Trackdown Report: Haus Labs

Last Updated :

26 Jan 2026

Analyzing how a celebrity beauty brand performs across AI-generated answers in the clean, vegan, and cruelty-free makeup category

🔥 Key Finding

Haus Labs achieves strong positioning & positive sentiment when included in AI answers, but appears in only 1 out of 3 queries where it could reasonably be expected. The brand excels in branded and product-specific prompts but disappears in category-defining and educational queries.

30%

Overall Visibility

The Coverage Problem

1.3

Average Position

The Prominence Strength

#3

Competitive Rank
Solid, but Not Dominant

+89

Net Sentiment

Overwhelmingly Positive

AI Engine Performance Breakdown

Each Al engine reveals a different facet of the same authority gap

Perplexity - 40.48%
Gemini - 38.29%
ChatGPT - 30.42%
Claude - 24.07%

Rewards verifiable claims. Haus Labs appears when its statements (e.g., cruelty-free status) can be cross-referenced.

Rewards conceptual relevance. Haus Labs fits into broad conversations about celebrity beauty but doesn't anchor them.

Rewards category definition. Haus Labs is excluded when it fails to answer the 'why' behind the category.

Rewards explanatory necessity. Haus Labs is rarely seen as essential to building a comprehensive answer.

Top 6 Prompts Where the Brand Was Not Visible

Prompt:

"Makeup brands dermatologists recommend"

BareMinerals

Neutrogena

Clinique

Ilia

La Roche-Posay

Haus Labs

Prompt:

"What is clean beauty makeup?"

Ilia

RMS Beauty

Beautycounter

Saie

Kosas

Haus Labs

Prompt:

"Best foundations for sensitive skin"

BareMinerals

Clinique

Ilia

La Roche-Posay

IT Cosmetics

Haus Labs

Prompt:

"Is clean makeup better for sensitive skin?"

Ilia

RMS Beauty

Beautycounter

Fenty Beauty

Tower 28 Beauty

Haus Labs

Prompt:

"Best vegan makeup brands"

Milk Makeup

Ilia

e.l.f. Cosmetics

Fenty Beauty

Rare Beauty

Haus Labs

Prompt:

"Why choose clean beauty"

BareMinerals

Neutrogena

Clinique

Ilia

La Roche-Posay

Haus Labs

Top 5 Prompts Where the Brand Was Visible

Buildable makeup looks with Haus Labs

Who should use Haus Labs foundation?

Haus Labs best sellers

Is Haus Labs cruelty-free?

Haus Labs foundation shades swatches

Top Competitors Frequently Mentioned

RankBrandPositionVisibilityKey Advantage
#1
Ilia
2.24.9%Category Education + Retailer Partnership
#2
Fenty Beauty
2.139%Structured explainers + Sephora integration
#3
Haus Labs
1.334%Strong when branded, weak in category
#4
Kosas
3.722%Clean beauty positioning
#5
Dior
3.115%Luxury authority

Content Infrastructure Gap Analysis

Where content investment is needed to match or exceed competitive benchmarks in the six dimensions that AI systems prioritize for brand mentions

Why These Gaps Exist

These gaps are not related to product quality or brand reputation, but rather to how content is structured, validated, and made discoverable to AI systems

No Explainer Content Infrastructure

Haus Labs relies heavily on product pages and social validation. Missing: category-level hubs that answer "what is clean beauty", "why choose vegan makeup", or "how to choose foundation for sensitive skin".

Weak External Validation Signals

Awards exist (Allure Best of Beauty) but aren't structured for AI discovery. Limited dermatologist endorsements, certifications not prominently displayed in schema-rich format.

Missing Comparison-Ready Content

AI defaults to YouTube creators and editorial sites for "Haus Labs vs Fenty" queries because the brand doesn't own its own comparison narrative.

Thin Schema Implementation

Product pages use basic product and offer schema but lack FAQ schema, review markup, and explainer-style structured content that AI engines prioritize.

Strategic Recommendations

Each recommendation addresses a specific structural weakness in how AI systems currently evaluate and surface the brand

Build Category Authority Infrastructure

  • Create "Clean Beauty Explained" hub with comprehensive guides
  • Develop "Foundation Finder" educational content series
  • Build "Why Haus Labs" positioning pages that answer category questions

Amplify External Validation Signals

  • Create dedicated awards and certifications page with schema markup
  • Secure and prominently display dermatologist endorsements
  • Add FAQ schema highlighting third-party validation

Own the Comparison Narrative

  • Create owned content: "Haus Labs vs Fenty Beauty: An Honest Comparison"
  • Develop comparison tables for celebrity beauty brands
  • Build side-by-side ingredient and performance guides

Enhance Schema and Structured Data

  • Implement FAQ schema on product and category pages
  • Add Review schema with aggregated ratings
  • Create HowTo schema for makeup application guides

What This Study Teaches About AI Visibility

AI rewards clarity over persuasion

Persuasive brand copy is less effective than clear, machine-readable explanations when competing for AI visibility.

Category ownership matters more than brand recall

Brands that build category-level hubs dominate AI answers, even if they're less famous than celebrity brands.

Comparative content unlocks disproportionate visibility

Owning your own comparison content prevents competitors and reviewers from controlling the narrative.

Depth of explanation beats surface-level detail

AI favors entities that answer "why" and "how," not just "what." Depth of explanation builds durable visibility.

Consistency across channels reinforces AI trust

AI visibility compounds when structured, validated content is consistent across every channel.

Methodology

Study Parameters:

Total Prompts

276 unique prompts tracked within TMV

AI Engines

ChatGPT, Perplexity, Gemini, Claude

Time Window

Jan 02, 2026 to Jan 09, 2026

Category

Clean, Vegan, Cruelty-Free Beauty & Cosmetics

Intent Mix

Commercial-heavy with supporting informational, comparison, and trust queries

Prompt Design:
  1. Each prompt mapped to one primary intent category (commercial, informational, comparison, trust/validation)
  2. Strong majority of non-branded prompts to test category authority vs brand recall
  3. Mix of short, direct questions and longer, descriptive queries mirroring natural AI usage
  4. Aligned with core themes: clean/vegan makeup, skincare-infused foundations, celebrity brand trust, sensitive-skin suitability
Limitations:
  1. AI responses evolve over time; results represent a snapshot of current behavior
  2. Prompt selection influences visibility patterns; different prompt sets may yield different results
  3. Brand-controlled content changes can rapidly affect AI visibility
  4. Results specific to beauty category; patterns may differ in other industries