THE AI BEAUTY AUTHORITY INDEX 2026

Which Beauty Brands AI Systems Recommend Most

May 2026 — inaugural edition

Why This Matters

Beauty discovery has shifted to AI-mediated research. Consumers ask ChatGPT, Claude, Perplexity, and Google AI Overviews "best skincare for hyperpigmentation," "best clean beauty brands," "best dermatologist-recommended skincare," and "best niche fragrance" before opening Sephora, Ulta, Amazon, or a brand's own site. The brands answer engines surface in response to those queries are setting consideration before any other touchpoint engages.

The AI Beauty Authority Index™ measures that surface. This is the inaugural benchmark, intended to be revisited annually with quarterly tracking.

Executive Summary

Beauty operates in two parallel visibility systems. The training layer — what Claude and ChatGPT have absorbed through model training — favors editorial coverage, dermatologist endorsement, and Reddit-driven community consensus accumulated over years. The retrieval layer — what Perplexity and Google AI Overviews pull from current search results — rewards retailer curation, recent press, and creator-driven cycles. Brands present in both layers compound visibility. Brands present in only one are exposed.

That distinction matters in beauty more than in any other consumer category EPR has measured to date. Beauty has the most fragmented top tier of any vertical benchmarked. Healthcare has three institutional anchors. Travel has two. Beauty remains one of the few major consumer categories where AI recommendation authority is still structurally contestable.

Five brands sit within five points of the leader. Drunk Elephant captures 26% Citation Share™ in Claude. La Roche-Posay captures 24%. Skinceuticals and Tatcha tie at 22%. CeraVe captures 21%. No brand dominates the way Mayo Clinic dominates healthcare or Aman dominates ultra-luxury travel. The category's leadership position has not yet been claimed.

Four findings frame the rest of the report:

Dermatologist positioning is the strongest single-attribute predictor of AI surfacing in skincare. Every brand in the top 30 with explicit clinical or medical-grade positioning over-indexes relative to its market share. The web-search proxy reinforces the pattern: La Roche-Posay is consistently cited as the top dermatologist-recommended skincare brand worldwide.

Korean skincare has broken into the cross-category top tier. Beauty of Joseon at 13% Citation Share™, Glow Recipe at 12%, COSRX at 7% — K-beauty has moved from "Asian beauty niche" to genuine top-tier consideration faster than legacy luxury chains anticipated.

Legacy luxury holds ground primarily through fragrance. Dior (16%), Tom Ford (14%), Chanel (12%), YSL (8%), Maison Francis Kurkdjian (8%), Le Labo (9%), and Creed (7%) accrue most of their Citation Share™ inside fragrance prompts. In skincare and makeup, share is shifting toward dermatologist-positioned and clean-beauty competitors.

The long tail is enormous. 318 unique brands surfaced across 100 prompts — more than any other vertical EPR has benchmarked. The top 10 captures roughly 40% of the surface; the next 290 brands compete for the remaining 60%. Niche positioning is not optional in this category.

Methodology

100 beauty prompts were run against Claude Opus 4.7, capturing brands surfaced in default-mode responses. Prompt categories spanned skincare (general, by skin type, by concern, by region, by age), makeup, fragrance, hair, body, men's grooming, DTC brands, wellness and ingestible beauty, and retailer trust queries.

A web-search proxy of 4 strategic prompts was used as a directional indicator of retrieval-engine behavior. Because the proxy uses a smaller prompt set, those results should be treated as directional indicators of retrieval visibility, not full-engine ranking equivalents.

Brand variants and sub-brands were normalized to parent. The same parent brand is not double-counted within a single prompt response. Citation Share™ is defined as the percentage of prompts in which a brand appears at least once.

ChatGPT and Gemini are not included in this edition. The methodology is reproducible against those engines and will be incorporated into the 2027 edition.

This benchmark measures visibility and recommendation frequency inside sampled AI responses. It does not measure consumer preference, revenue share, or market share. Citation Share™ is a category-level operating indicator of AI-mediated discovery — not a substitute for sell-through data.

Claude — Top 40 Brands by Citation Share™

100 prompts. Variants normalized to parent. Same parent not double-counted within a prompt.

RankBrandAppearancesCitation Share™ 1Drunk Elephant2626.0% 2La Roche-Posay2424.0% 3Skinceuticals2222.0% 3Tatcha2222.0% 5CeraVe2121.0% 6Augustinus Bader1818.0% 7The Ordinary1717.0% 8Dior1616.0% 9Tom Ford1414.0% 10Beauty of Joseon1313.0% 11Paula's Choice1212.0% 11Glow Recipe1212.0% 11Chanel1212.0% 14Olay1111.0% 14Topicals1111.0% 14Charlotte Tilbury1111.0% 17Estée Lauder1010.0% 17SkinMedica1010.0% 17La Mer1010.0% 17Rare Beauty1010.0% 21Cetaphil99.0% 21Allies of Skin99.0% 21Fenty Beauty99.0% 21NARS99.0% 21Le Labo99.0% 26Murad88.0% 26YSL88.0% 26Maison Francis Kurkdjian88.0% 26Aesop88.0% 30Avène77.0% 30Crown Affair77.0% 30COSRX77.0% 30Sunday Riley77.0% 30MAC77.0% 30Pat McGrath Labs77.0% 30Creed77.0% 30Aveda77.0% 30Briogeo77.0% 39Neutrogena66.0% 39Eucerin66.0%

Web Search Proxy — Retrieval Layer

4 strategic prompts. Surface Share = % of prompts in which a brand appears in top search results. Directional, not benchmark-grade — see methodology note.

RankBrandSurface Share 1Obagi50.0% 2La Roche-Posay25.0% 2CeraVe25.0% 2Skinceuticals25.0% 2Drunk Elephant25.0% 2EltaMD25.0% 2SkinMedica25.0% 2Augustinus Bader25.0% 2La Prairie25.0% 2ILIA25.0% 2Merit25.0% 2Saie25.0% 2Jones Road25.0% 2RMS Beauty25.0% 2Kjaer Weis25.0% 2Kosas25.0% 2Tata Harper25.0% 2True Botanicals25.0% 2Live Tinted25.0% 2BABOR25.0% 2OSEA25.0% 2Maison Francis Kurkdjian25.0% 2Creed25.0% 2Xerjoff25.0% 2Amouage25.0% 2COSRX25.0% 2Laneige25.0% 2Beauty of Joseon25.0%

What This Means

The retrieval layer is more fragmented than Claude. Obagi appears across both the dermatologist-recommended and luxury skincare categories — the only brand in the proxy doing so. No other brand crosses cleanly across sub-categories. The proxy names the leaders inside each silo (clean beauty, niche fragrance, K-beauty, dermatologist skincare) but not across them.

Brands surfacing in both Claude and the proxy — Drunk Elephant, La Roche-Posay, Skinceuticals, CeraVe, Augustinus Bader, Beauty of Joseon — are the most structurally advantaged set in beauty AI recommendation today.

Cross-Engine Comparison

BrandClaudeWeb ProxyPattern Drunk Elephant26%25%Anchored across both layers La Roche-Posay24%25%Anchored across both layers Skinceuticals22%25%Anchored across both layers CeraVe21%25%Anchored across both layers Augustinus Bader18%25%Anchored across both layers Beauty of Joseon13%25%Anchored across both layers SkinMedica10%25%Aligned Maison Francis Kurkdjian8%25%Retrieval over-index Creed7%25%Retrieval over-index COSRX7%25%Retrieval over-index Obagi0%50%Retrieval-only presence Xerjoff0%25%Retrieval-only presence Amouage0%25%Retrieval-only presence ILIA0%25%Retrieval-only presence Merit0%25%Retrieval-only presence Saie0%25%Retrieval-only presence Jones Road0%25%Retrieval-only presence RMS Beauty0%25%Retrieval-only presence Kjaer Weis0%25%Retrieval-only presence Kosas0%25%Retrieval-only presence True Botanicals0%25%Retrieval-only presence BABOR0%25%Retrieval-only presence OSEA0%25%Retrieval-only presence Tatcha22%0%Training-only presence Topicals11%0%Training-only presence Allies of Skin9%0%Training-only presence Crown Affair7%0%Training-only presence

The retrieval-only group is striking. Most clean-beauty brands (ILIA, Merit, Saie, Jones Road, RMS Beauty, Kjaer Weis, Kosas, True Botanicals) and the ultra-premium niche fragrance houses (Xerjoff, Amouage) surface in current search retrieval but have not broken into Claude's training-data-weighted recommendation surface. Closing that gap requires sustained presence in the consumer publishers Claude weights — Allure, Vogue, Elle, Glamour, Byrdie, Harper's Bazaar — across multi-year cycles.

The Beauty AI Authority Stack

The five layers answer engines weight when retrieving beauty brands.

Beauty editorial. Allure, Vogue, Elle, Harper's Bazaar, Glamour, Byrdie, Marie Claire, NYT Style, WSJ Style. Allure Best of Beauty awards function as a recurring retrieval anchor.
Dermatologist and clinical authority. Board-certified dermatologists, Dermstore and The Dermatology Digest coverage, U.S. News best OTC product rankings, American Academy of Dermatology mentions. Converts subjective beauty preference into clinical authority.
Reddit and community ecosystems. r/SkincareAddiction (over 2 million members), r/MakeupAddiction, r/AsianBeauty, r/30PlusSkinCare. Community consensus is among the most powerful retrieval drivers in beauty, particularly for ingredient-driven prompts.
Retailer curation. Sephora bestseller lists, Sephora Squad programs, Ulta Beauty curation, Dermstore editorial, Credo Beauty, Space NK, Amazon's Choice tags. Co-occurrence with major retailer curation reads as a confidence signal.
Creator coverage. Dermatologist-creators, TikTok-native educators, long-form YouTube skincare educators, and creator-to-editorial crossover voices. Drives short-cycle visibility surges that retrieval engines absorb faster than Claude.

Brands present across all five layers are structurally advantaged. Brands strong in only retailer curation and creator content tend to surface in retrieval but lag in Claude.

Retailer Dominance — The Machine-Readable Authority Layer

Retailers function as a distinct authority layer in beauty AI recommendation that has no clean parallel in healthcare or travel. Sephora, Ulta, Dermstore, Credo Beauty, Space NK, and Amazon increasingly serve as machine-readable validators of brand legitimacy — their bestseller lists, editorial taxonomies, and curation programs compound across both training and retrieval engines.

Several patterns repeat:

Brands stocked at Sephora and Ulta accrue cross-category surfacing faster than DTC-only equivalents. The retailer co-occurrence signal compresses the multi-year editorial-coverage requirement that brands without retail distribution face.
Sephora's "Clean at Sephora" program, Ulta's "Conscious Beauty" tag, Credo Beauty's curation criteria, and Amazon's Choice tags all surface as ranking shortcuts inside AI responses. These taxonomies have effectively become category-defining infrastructure that answer engines treat as confidence layers.
Dermstore's editorial coverage carries disproportionate weight in dermatologist-recommended prompts. Repeated coverage on Dermstore correlates more reliably with Claude surfacing in skincare than coverage in many tier-1 consumer publications.
Space NK and Credo Beauty drive luxury and clean beauty retrieval respectively. Brands stocked in Space NK accrue UK and US luxury skincare surfacing simultaneously; Credo certification accelerates clean-beauty retrieval visibility within months of inclusion.

The implication: retail distribution strategy is now AI visibility strategy. Brands building DTC-only without major retail presence face a structural disadvantage in cross-engine recommendation that requires significantly longer editorial-investment timelines to overcome.

Source Layer — Who Answer engines Cite

The publications and platforms repeatedly cited in beauty retrieval.

Beauty editorial creates brand meaning. Allure, Vogue, Elle, Harper's Bazaar, Glamour, Byrdie, Marie Claire. Coverage is the most reliable predictor of cross-engine recommendation share. Allure Best of Beauty awards in particular function as recurring retrieval anchors that compound annually.

Dermatologist-led publications convert preference into clinical authority. Dermstore, The Dermatology Digest, Dermatology Times, plus board-certified dermatologist quotes inside Allure and Byrdie. Answer engines weight clinical endorsement disproportionately in skincare prompts.

Reddit functions as the high-leverage community signal. r/SkincareAddiction is among the most cited consumer beauty communities in AI retrieval, particularly for ingredient-driven prompts (retinol, vitamin C, niacinamide, peptides). Brands with strong organic Reddit presence consistently outperform their advertising-driven peers. Drunk Elephant, The Ordinary, Beauty of Joseon, COSRX, and Topicals all benefit from this layer.

Retailer curation and editorial provide volume and trust. Sephora's Beauty Insider community, Sephora Clean at Sephora, Ulta bestseller lists, Dermstore editorial, Credo Beauty, Space NK, and Amazon's Choice all surface as confidence signals. (See retailer-dominance section above.)

Conde Nast and Hearst coverage sets the luxury baseline. Vogue, Vanity Fair, Town & Country, Departures, Robb Report drive luxury skincare and fragrance retrieval. Augustinus Bader, La Mer, Sisley, La Prairie, and Maison Francis Kurkdjian accrue authority through repeated coverage in this tier.

The Creator Layer — Four Archetypes

Beauty creators surface in AI retrieval with consistency that does not appear in other consumer categories. The creator economy in beauty operates as a distinct retrieval driver, with four archetypes accruing the most weight:

Dermatologist-creators. Board-certified dermatologists with significant social audiences — Dr. Shereene Idriss, Dr. Sam Bunting, Dr. Whitney Bowe, Dr. Muneeb Shah, Dr. Dray. Their dual identity as practicing clinicians and content creators carries the strongest single-creator weight in skincare retrieval. Brand mentions from this archetype frequently surface in AI responses for ingredient-led and condition-led prompts.

TikTok-native educators. Mikayla Nogueira, Alix Earle, Hailey Bieber, and the broader TikTok beauty creator economy. This layer drives the fastest-cycle retrieval surges, often shifting which brands surface in current-results prompts within weeks of viral coverage. Retrieval engines absorb these signals faster than Claude.

Long-form YouTube skincare educators. Hyram Yarbro, Tina Yong, Susan Yara (Mixed Makeup), James Welsh, Gothamista. The longer video format compounds in search rankings differently than short-form, with sustained visibility in queries about specific brands, ingredients, and routines. Brands featured repeatedly across multiple long-form creators tend to develop durable retrieval presence.

Creator-to-editorial crossover. Caroline Hirons, Jen Atkin, and a small set of voices whose substacks, books, and editorial relationships extend creator authority into long-form publishing. This archetype carries the most durable long-term weight because their content tends to be cited by tier-1 editorial as well as by community discussion.

Validated Patterns

The top tier is the most fragmented of any consumer vertical EPR has measured. Five brands cluster within five points of one another. The dynamic resembles fashion (where dozens of luxury brands coexist) more than healthcare (where institutional concentration dominates).

Dermatologist-recommended is the strongest single-attribute predictor of AI visibility. La Roche-Posay (24%), Skinceuticals (22%), CeraVe (21%), SkinMedica (10%), Cetaphil (9%), Murad (8%), Avène (7%), Eucerin (6%), Neutrogena (6%) — each carries explicit dermatologist or medical-grade positioning. Brands without clinical positioning tend to compete in narrower prompt sets.

Korean skincare has broken into the cross-category top tier. Beauty of Joseon (13%) outperforms Olay (11%) and Estée Lauder (10%). Glow Recipe (12%) outperforms Charlotte Tilbury, Rare Beauty, and La Mer. K-beauty has moved from category-niche to genuine top-tier consideration.

Legacy luxury holds ground primarily through fragrance. Dior (16%), Tom Ford (14%), Chanel (12%), YSL (8%), MFK (8%), Le Labo (9%), Creed (7%). Inside skincare and makeup, share is shifting toward dermatologist-positioned and clean-beauty competitors.

The "luxury science" tier is real and growing. Augustinus Bader (18%), Allies of Skin (9%), Crown Affair (7%), Dr. Barbara Sturm, U Beauty. These brands compete on clinical positioning rather than legacy brand prestige and accrue weight quickly.

Influencer-driven beauty wins retrieval more than Claude. Rare Beauty (10%), Glossier, Topicals (11%), Bubble, Rhode. These brands surface heavily in current results and creator-driven retrieval but have not yet built the long-form editorial coverage that compounds in Claude.

The long tail is enormous. 318 unique brands surfaced across 100 prompts. Beauty has the most diverse competitive set of any vertical benchmarked. Niche positioning is the only path to AI visibility for brands outside the top 30.

Television and out-of-home advertising appear to contribute materially less than editorial, retailer, dermatologist, and community-driven authority signals. Brands with significant traditional ad spend (drugstore mass-tier, legacy luxury TV campaigns) do not consistently outperform peers without that spend. The signals answer engines absorb are concentrated in publisher coverage, retailer curation, and community discussion — not in broadcast or display advertising.

Strategic Implications

The top tier is contestable. Unlike healthcare or travel, beauty has no closed top tier. A brand that captures 30% Citation Share™ in Claude alongside meaningful retrieval-engine presence would establish category leadership.
Clinical positioning is the highest-leverage move available in skincare. Brands without explicit dermatologist endorsement compete at a structural disadvantage in skincare prompts. The investment is concentrated in board-certified dermatologist relationships, clinical-trial-published efficacy data, and presence in Dermstore and The Dermatology Digest.
K-beauty has crossed the chasm. Beauty of Joseon, COSRX, Glow Recipe, and Laneige have moved from "Asian beauty niche" to top-tier consideration. Korean brands without an English-language US press strategy are leaving meaningful share on the table. US brands competing in the same prompt space need to defend through hero ingredient claims (snail mucin, fermented botanicals, ginseng, centella).
Clean beauty wins retrieval and lags Claude. ILIA, Merit, Saie, Jones Road, RMS Beauty, Kjaer Weis, Kosas, Tata Harper, and True Botanicals all surface in retrieval but score zero or near-zero in Claude. Closing the gap requires sustained presence across Allure, Vogue, Byrdie, and the consumer publishers Claude weights.
Legacy luxury should defend through fragrance and the luxury-science tier. Chanel, Dior, YSL, Tom Ford should over-invest in fragrance category prompts (where they remain dominant) and in the science-led luxury tier (where they are exposed to Augustinus Bader). Defending across all skincare prompts is structurally inefficient.
Retail distribution is now AI visibility infrastructure. DTC-only brands face a structural disadvantage in cross-engine recommendation. Sephora, Ulta, Dermstore, Credo, and Space NK distribution accelerates AI visibility timelines materially. Brands resisting major retail distribution should expect significantly longer editorial-investment cycles to compensate.
Creator strategy should weight the four archetypes differently by goal. Dermatologist-creators for trust and durability. TikTok-native educators for short-cycle awareness. Long-form YouTube educators for ingredient-led and routine-led searches. Creator-to-editorial crossover voices for long-term authority. Brands relying solely on TikTok will surge in retrieval and stall in Claude.
Niche fragrance is the most contestable luxury sub-category. Maison Francis Kurkdjian (8%), Creed (7%), Le Labo (9%), Byredo, Diptyque, D.S. & Durga, plus the ultra-premium tier (Xerjoff, Amouage) all hold meaningful but not dominant Citation Share™. The first niche fragrance house to invest in cross-engine AI visibility could capture disproportionate share.
Brands increasingly treating AI visibility metrics as category-level operating indicators may gain earlier visibility into shifts in consumer consideration behavior. Citation Share™ functions as a leading indicator of search and consideration trends — typically surfacing competitive shifts before they appear in revenue or share data.

Volatility and Future Risk

Beauty AI rankings are materially more volatile than categories such as healthcare or financial services. Several structural drivers are responsible:

Trend velocity. TikTok-driven product cycles compress consideration windows from years to weeks. Brands surge and recede in retrieval engines on cycles dramatically shorter than the training-cycle refresh rate of large language models.
Ingredient cycles. Hero-ingredient narratives (retinol, niacinamide, snail mucin, peptides, exosomes, polyhydroxy acids) reshape category prompts every 12–18 months, repositioning entire competitor sets.
Retailer merchandising. Sephora, Ulta, and Amazon launch and de-list products on rapid cycles. A brand de-prioritized at retail loses retrieval signal within months.
Creator ecosystem shifts. A single high-reach dermatologist-creator endorsement can shift Citation Share™ for a mid-tier brand by several points within a quarter. The retrieval-layer impact is fast; the training-layer impact lags.

The implication for Citation Share™ tracking: monthly cadence is the operational standard for beauty, with quarterly trackers as the floor and annual editions as the longitudinal benchmark. Brands relying on annual visibility audits will miss leaderboard movement consequential enough to reposition the competitive set.

Recurrence

The AI Beauty Authority Index™ is published annually by EPR Industry Intelligence. Quarterly trackers monitor leaderboard movement. Forthcoming companion benchmarks include the Clean Beauty AI Visibility Report, the Niche Fragrance Citation Share Benchmark, the K-Beauty AI Visibility Index, and the Dermatologist-Recommended AI Authority Tracker.

About EPR Industry Intelligence

Everything-PR is an AI-era communications intelligence platform publishing recurring industry research, category benchmarks, and AI visibility analyses across beauty, healthcare, travel and hospitality, financial services, technology, education, and beyond.

Recurring research properties include the AI Beauty Authority Index™, the Healthcare AI Trust Index™, the AI Travel Recommendation Index™, sector-specific AI Authority Stack frameworks, AI Visibility Gap™ analyses, and Citation Share™ benchmarks.

Research access, methodology requests, and licensing inquiries: everything-pr.com.