Estée Lauder Companies in AI Answers — Corporate Reputation Analysis
AI Citation Intelligence

Estée Lauder Companies in AI Answers

Corporate Reputation Analysis

Analysis Date
Dec 13, 2025
Queries
30
Platforms
5
Total Tests
150
Citations
1,075
Overall Win Rate
9.3%
14 of 150 tests
ELC was the primary recommendation in less than 10% of tests. L'Oréal was featured in 80% of tests, indicating significant competitive asymmetry in AI visibility.
Mention Rate
93.3%
140 of 150 tests
ELC or its subsidiary brands were mentioned in nearly all responses — indicating strong brand awareness but weak competitive positioning when AI platforms make recommendations.
Topic Leadership
0 of 6
Topics with >50% win rate
ELC does not lead any of the six topic clusters tested. Best performance was in Investor/Financial queries at 16% win rate.
Best Topic
Investor
16% win rate (4/25)
Investor/Financial queries showed ELC's strongest relative performance, though L'Oréal still dominated at 80% in the same cluster.

Executive Summary

  • L'Oréal dominates AI recommendations: Across all 6 topic clusters and 5 platforms, L'Oréal was featured as the primary recommendation 80% of the time (120/150 tests), versus 9.3% for ELC.
  • High awareness, low conversion: ELC maintains 93% mention rate, but "mentioned" rarely translates to "featured" — a gap between brand awareness and AI recommendation positioning.
  • ESG represents the weakest cluster: 0% win rate in sustainability queries despite 76% mention rate. L'Oréal's ESG positioning appears significantly stronger in AI training data.
  • Platform variance exists: ChatGPT shows strongest ELC performance (20% win rate); Gemini shows weakest (0% win rate). Worth monitoring but insufficient sample to determine causation.

ELC Brands Driving Mentions

Estée Lauder137 MAC64 Clinique55 La Mer32 Bobbi Brown30 Tom Ford Beauty16 Jo Malone12 Aveda12 Too Faced8 DECIEM8

Note: Individual brands may be mentioned without explicit attribution to ELC parent company.

Performance by Topic

Topic Cluster Analysis

Win rate represents tests where ELC was the primary recommendation. Each cluster contains 5 queries tested across 5 platforms (25 tests per cluster). All clusters show L'Oréal as the dominant competitor.

Investors / Analysts / IR
Investor & Financial
16%
25 tests • 100% mentioned Best Cluster
Featured4 of 25 (16%)
Mentioned25 of 25 (100%)
LeaderL'Oréal (80%)

ELC's strongest cluster. Financial queries about market cap, growth outlook, and investor perception occasionally feature ELC as a leader alongside L'Oréal.

R&D / Strategy / Tech Media
Innovation & R&D
12%
25 tests • 92% mentioned Trailing
Featured3 of 25 (12%)
Mentioned23 of 25 (92%)
LeaderL'Oréal (84%)

Innovation queries heavily favor L'Oréal. ELC R&D investments and technology partnerships may have less visibility in AI training sources.

Employees / HR / Employer Brand
Talent & Employer
12%
25 tests • 100% mentioned Trailing
Featured3 of 25 (12%)
Mentioned25 of 25 (100%)
LeaderL'Oréal (76%)

Employer brand queries show L'Oréal with strong positioning. Glassdoor was frequently cited, showing 22% ELC win rate when present.

Media / Analysts
Industry Leadership
8%
25 tests • 92% mentioned Trailing
Featured2 of 25 (8%)
Mentioned23 of 25 (92%)
LeaderL'Oréal (84%)

Industry leadership queries consistently position L'Oréal first. ELC typically mentioned second or third in ranked lists.

Strategy / M&A / Media
Portfolio & Brands
8%
25 tests • 100% mentioned Trailing
Featured2 of 25 (8%)
Mentioned25 of 25 (100%)
LeaderL'Oréal (76%)

Portfolio and M&A queries position L'Oréal's acquisition history as the benchmark. ELC's brand portfolio is discussed but rarely positioned first.

ESG Analysts / Corporate Affairs
ESG & Sustainability
0%
25 tests • 76% mentioned Opportunity
Featured0 of 25 (0%)
Mentioned19 of 25 (76%)
LeaderL'Oréal (80%)

Weakest cluster. ELC was never featured as an ESG leader across 25 tests. L'Oréal's sustainability narrative appears significantly stronger in AI training data. Unilever and Natura also appear before ELC in this category.

Media Intelligence

Source-Outcome Correlation

Earned media sources that appear more frequently when ELC wins vs. loses. Baseline win rate: 9.3%. Excludes owned properties, competitor sites, and reference sources.

Correlated with ELC Wins

When these sources are cited, ELC is featured more often than baseline

SourceCitedELC Win Ratevs Baseline
cosmeticsdesign.com450%+41pp
fortune.com425%+16pp
glassdoor.com922%+13pp
beautyindependent.com520%+11pp
reuters.com617%+7pp

Correlated with ELC Losses

When these sources are cited, ELC is featured less often than baseline

SourceCitedELC Win Ratevs Baseline
beautymatter.com60%-9pp
nytimes.com40%-9pp
hbr.org30%-9pp
Interpretation: These are correlations, not causation. Given ELC's overall 9.3% baseline win rate, most sources show 0% when sample sizes are small. Sources correlated with losses often appear in ESG queries where L'Oréal dominates — the topic may explain the correlation more than the source itself. Use as directional signals for further investigation rather than PR targeting recommendations.
Competitive Intelligence

Overall Competitive Position

Featured company distribution across all 150 tests. "Featured" means the company was positioned as the primary recommendation or leader in the AI response.

L'Oréal
80.0% (120)
Estée Lauder Co.
9.3% (14)
Unilever
1.3% (2)
Shiseido
1.3% (2)
Other/None
8.0% (12)

Win Rate by Topic × Competitor

TopicL'OréalELCUnileverOther
Investor & Financial80%16%0%4%
Innovation & R&D84%12%0%4%
Talent & Employer76%12%0%12%
Industry Leadership84%8%0%8%
Portfolio & Brands76%8%0%16%
ESG & Sustainability80%0%8%12%
Key Observation: L'Oréal's AI visibility advantage is consistent across all topic clusters, suggesting this is a systemic competitive gap rather than isolated to specific stakeholder groups. The 70-90pp advantage in every category indicates that closing this gap would require sustained, multi-faceted efforts across corporate communications, thought leadership, and third-party content.
Platform Analysis

AI Platform Performance

ELC win rate by AI platform. Each platform was tested with all 30 queries.

ChatGPT
20.0%
6 of 30 tests
Best for ELC
Claude
16.7%
5 of 30 tests
Perplexity
6.7%
2 of 30 tests
Meta Llama
3.3%
1 of 30 tests
Gemini
0.0%
0 of 30 tests
⚠️ Zero wins

Platform Variance Note

ELC shows significant variance across platforms — from 20% on ChatGPT to 0% on Gemini. However, this variation should be interpreted cautiously:

  • Sample size of 30 tests per platform limits statistical confidence
  • L'Oréal dominates all platforms (typically 70-90% featured rate)
  • ELC was still mentioned in 90%+ of Gemini responses — just never featured first
  • Platform algorithms change frequently; snapshot may not reflect current state

Implication: ChatGPT's marginally better performance for ELC may warrant monitoring, but the gap between ELC and L'Oréal is consistent across all platforms.

Query Details

Interactive Query Appendix

All 150 tests with filtering and sorting. Click column headers to sort.

Showing 150 of 150 tests
IDQueryTopicPlatformELC FeaturedWinner
Methodology

Study Parameters & Limitations

Study Parameters

  • 30 unique queries across 6 topic clusters
  • 5 AI platforms: ChatGPT, Claude, Perplexity, Gemini, Meta Llama
  • 150 total tests (30 queries × 5 platforms)
  • 1,075 citations captured across all responses
  • 228 unique domains identified
  • Analysis date: December 13, 2025

Topic Clusters Tested

  • Industry Leadership: Media/analyst perception of market leaders
  • Investor & Financial: Financial performance, investment outlook
  • ESG & Sustainability: Environmental and ethical credentials
  • Innovation & R&D: Technology and product development leadership
  • Talent & Employer: Employer brand and company culture
  • Portfolio & Brands: M&A strategy and brand portfolio strength

What This Shows

  • Win rates by topic cluster
  • Source correlation patterns
  • Platform consistency
  • Competitive positioning snapshot
  • Subsidiary brand attribution

What This Does NOT Show

  • Whether sources cause wins/losses
  • Whether pitching a source would change outcomes
  • Statistical significance with small samples
  • Content-level sentiment analysis
  • Consumer purchase intent or behavior

Important Limitations

  1. Single snapshot: Results represent one point in time; AI platform responses can change as models are updated or retrained.
  2. Query phrasing effects: Different phrasings of similar questions may yield different results.
  3. Sample size constraints: 25 tests per cluster and 30 per platform limit statistical confidence in comparisons.
  4. Topic confounding: Source correlations may reflect topic effects rather than source influence.
  5. Platform algorithm opacity: We cannot determine why platforms feature certain companies.
  6. Corporate vs. consumer framing: Queries were designed for corporate reputation assessment, not consumer purchase intent.
  7. Subsidiary attribution: AI platforms may mention ELC brands without explicit parent company connection.
  8. Competitive set was dynamic: Competitors were captured from responses, not predefined — actual competitive landscape may differ.