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An AI Visibility Study by Track My Visibility

Trackdown Report: Fenty Beauty

Last Updated :

19 March 2026

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

🔥 Key Finding

Fenty Beauty achieves strong positioning & positive sentiment when included in AI answers, but appears in only 3 out of 5 queries where it could reasonably be expected. The brand excels in branded and product-specific prompts but disappears in trend-driven, skin-type, and category-education searches.

28%

Overall Visibility

The Coverage Problem

1.6

Average Position

The Prominence Strength

#1

Competitive Rank

Leading, But Narrowly

+89

Net Sentiment

Overwhelmingly Positive

AI Engine Performance Breakdown

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

Perplexity - 24%
Gemini - 51%
ChatGPT - 36%
AI Overview - 0%

Rewards verifiable claims. Fenty appears when facts like shade range and performance are backed across sources.

Strong on brand identity. Fenty ranks well due to clear positioning and well-documented product strengths.

Rewards category definition. Fenty shows for brand queries but misses broader category prompts it helped define.

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:

"Best skin tint for dewy no-makeup look"

Saie

Saie

Glossier

Glossier

Summer Fridays

Summer Fridays

ILIA

Jones Road

Jones Road

Fenty Beauty

Prompt:

"Minimal makeup routine for work-from-home"

Glossier

Glossier

IT Cosmetics

ILIA

Maybelline

Maybelline

Fenty Beauty

Prompt:

"How to build a natural base with skincare + tint?"

NARS

NARS

Glossier

Glossier

IT Cosmetics

atrick Ta Beauty

Patrick Ta Beauty

Fenty Beauty

Prompt:

"Smudge-proof liquid lipstick under $25"

Maybelline

Maybelline

NYX Cosmetics

NYX Cosmetics

L'Oreal

L'Oreal

Anastasia Beverly Hills

Fenty Beauty

Prompt:

"What brush or sponge for sheer application?"

Beautyblender

Beautyblender

IT Cosmetics

Sigma Beauty

Sigma Beauty

Real Techniques

Real Techniques

Fenty Beauty

Prompt:

"Best vegan cruelty-free makeup brands 2026"

e.l.f. cosmetics

e.l.f. cosmetics

KVD Beauty

KVD Beauty

Milk Makeup

Milk Makeup

Haus Labs

Haus Labs

Rare Beauty

Rare Beauty

Fenty Beauty

Top 5 Prompts Where the Brand Was Visible

Fenty Beauty vs MAC makeup quality

How to make liquid lipstick look smooth?

Powder vs liquid highlighter for oily skin

Best hydrating primers for glassy skin

Highlighter brushes vs fingers vs sponge application

Top Competitors Frequently Mentioned

RankBrandPositionVisibilityKey Advantage
#1
Fenty Beauty
1.628%Category dominance, weak trends
#2
Maybelline
2.214%Affordable, mass-market reach
#3
NARS
2.510%Premium editorial authority
#4
e.l.f. cosmetics
2.38%Clean beauty positioning
#5
ILIA
2.58%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

Fenty Beauty built the modern standard for foundation inclusivity, yet has no dedicated content that explains what inclusive shade matching means, how to find undertones, or why 50 shades matters.

Weak Schema and Structured Data

FAQ schema is absent on key Q&A pages and product pages. HowTo schema is missing on process-oriented content like the Complexion Cheat Sheet.

Missing Comparison-Ready Content

For queries like "Fenty Beauty vs Charlotte Tilbury" or "Fenty Beauty vs MAC makeup quality," AI ranks Fenty at #1 when it appears but only because third-party editorial sites do the comparison work. Fenty doesn't own this narrative on its own site.

Thin YouTube Citation Footprint

YouTube has DA 100 and competitors are cited in 6 prompts via YouTube content where Fenty has no presence. For a brand with Rihanna's cultural weight and a massive social following, this is a significant missed signal.

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 Makeup" hub with comprehensive guides
  • Develop "Foundation Finder" educational content series
  • Build "Why Fenty Beauty" 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 comparison content: "Fenty Beauty vs MAC", "Fenty Beauty vs Maybelline"
  • 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 comparison table markup to "vs" content
  • 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

132 active prompts tracked within TMV

AI Engines

ChatGPT, Perplexity, Gemini, AI Overview

Time Window

March 12, 2026 to March 19, 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