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An AI Visibility Study by Track My Visibility

Trackdown Report :

Fenty Beauty

Last Updated :

May 19, 2026
Analyzing how Fenty Beauty, a cosmetics ecommerce brand, performs across AI-generated answers in the Foundation, Lip Color, Makeup category.

🔥 Key Finding

Fenty Beauty ranks #1 with 23% visibility across AI models, but faces a 77% coverage gap. The brand struggles with product-specific comparisons and price-point searches where competitors like Sephora and Ulta capture share.

23%

Overall Visibility

The Coverage Problem

1.6

Average Position

The Prominence Strength

#1

Competitive Rank
Solid, but Not Dominant

+73

Net Sentiment

Overwhelmingly Positive

AI Engine Performance Breakdown

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

Perplexity -19.23%
ChatGPT - 26.92%
AI Overview - 3.57%
Gemini - 17.86%

ChatGPT rewards brand authority and trend-forward positioning. Fenty appears in 26.92% of responses, ranking #1, especially for foundation trends and signature product queries.

Perplexity favors inclusive product attributes and technical specifications. Fenty ranks #2 at 19.23% visibility, appearing strongest in shade-range and vegan-formula discussions.

Top 5 Prompts Where the Brand Was Not Visible

Prompt:

hydrating gel or cream for makeup prep

Neutrogena
Good Molecules
Cocokind
E.L.F.
Fenty Beauty

Prompt:

best everyday makeup staples for oily skin

e.l.f.
Benefit
NYX
Estée Lauder
Fenty Beauty

Prompt:

Skin-first makeup trends 2026

sephora.com
Fenty Beauty

Prompt:

Best skin tint for dewy no-makeup look

kosas.com
Ilia
Chanel
Glossier
Fenty Beauty

Prompt:

Smudge-proof liquid lipstick under $25

ulta.com
Maybelline
L'Oréal Paris
Huda Beauty
Fenty Beauty

Prompt:

Top 5 Prompts Where the Brand Was Visible

Where to buy signature beauty products 2026

Top rated vegan foundations for oily skin

Global shade ranges with inclusive undertones

Future trends in Fenty Beauty foundation shades 2026

Best hydrating primers for glassy skin

Top Competitors Frequently Mentioned

Rank Brand Position Visibility Mentions
#1
Fenty Beauty
1 23% Appears in 12 responses
#2
Sephora
1 15% Appears in 8 responses
#3
Ulta Beauty
1 10% Appears in 5 responses
#4
Rare Beauty
1 6% Appears in 3 responses
#5
Kosas
1 2% Appears in 1 responses

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

Price-Point Positioning

Fenty misses budget-conscious queries like 'smudge-proof liquid lipstick under $25' where Maybelline and L'Oréal dominate. Competitors own affordability narratives Fenty doesn't claim.

Primer & Prep Category

Fenty appears in only 50% of hydrating primer queries despite strong skincare-makeup integration. Neutrogena and Good Molecules capture prep-step authority Fenty hasn't established.

Dewy Finish Trend Gap

Glossier, Ilia, and Kosas lead 'no-makeup look' and skin-tint searches. Fenty's mention rate drops significantly here despite having relevant products in this aesthetic space.

Transactional Intent Weakness

On 'where to buy' and 'best everyday staples' prompts, Fenty ranks 4th and absent respectively. Ulta and Sephora capture shopping-intent traffic Fenty doesn't convert in AI responses.

Strategic Recommendations

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

Own Affordable Luxury Positioning

  • Create content linking Fenty products to sub-$25 price tiers.
  • Build comparison guides against budget brands explicitly.
  • Pitch AI training data emphasizing value-for-quality narrative.

Expand Primer & Prep Authority

  • Develop primer-focused educational content with skincare bridges.
  • Target ‘glassy skin’ and ‘hydrating prep’ keyword clusters.
  • Secure mentions in how-to guides for base-building routines.

Capture Dewy & Minimal Makeup Trends

  • Reposition skin tints and lightweight foundations for trend queries.
  • Create trend-forward content on ‘skin-first makeup’ aesthetic.
  • Pitch founder vision on minimal, skin-enhancing makeup philosophy.

Strengthen Transactional Visibility

  • Optimize product pages for ‘where to buy’ and ‘best for’ queries.
  • Build buying-guide content for everyday staple routines.
  • Establish direct-to-consumer messaging in AI training data.

What This Study Teaches About AI Visibility

Brand Identity Drives Niche Dominance

Fenty's inclusive shade range messaging achieves 100% visibility in category-defining queries. Identity-led positioning outperforms generic product mentions in AI responses.

Sentiment Strength Doesn't Equal Coverage

Fenty maintains +73 sentiment across mentions, yet 77% of prompts exclude it entirely. Positive brand perception doesn't translate to broad query coverage without strategic content placement.

Model Gaps Reveal Audience Blind Spots

Perplexity misses Fenty on 4 of 6 quick-win prompts while ChatGPT dominates. Different AI engines reward different content types; single-model optimization leaves coverage gaps.

Comparison Queries Favor Retailers Over Brands

Price and alternative-product searches default to Ulta, Sephora, and budget brands. Direct brand mentions lose to aggregator authority in transactional intent queries.

Trend-Forward Queries Unlock Premium Positioning

Fenty ranks #1 on 'future trends' and 'skin-first makeup' prompts with 100% visibility. Forward-looking, founder-led narratives secure AI placement better than product specs.

Methodology

Study Parameters:

Total Prompts

50 unique prompts tracked within TMV

AI Engines

ChatGPT, Perplexity

Time Window

May 19, 2026 to May 26, 2026

Category

Foundation, Lip Color, Makeup, Beauty Staples, Inclusive Shade Range, 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 release-focused and evergreen education questions mirroring natural AI usage
  4. Aligned with core themes: Foundation, Lip Color, Makeup, Cosmetics
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 Cosmetics category; patterns may differ in other segments