AIVO ORIGINAL RESEARCH • May 2026

MedSpa Wars 2026: Which Private Label Skincare Brands Does AI Actually Recommend?

Name: Medical Skincare / MedSpa Industry AI Visibility Dataset - May 2026
Creator: AIVO
Published: 2026-05-20
License: https://www.tryaivo.com/license

We ran 264 queries across ChatGPT, Perplexity, Gemini, and Google AI Overview to find which private label medical skincare brands AI recommends when estheticians, med spa owners, and physicians search for partners. 22 unbranded prompts across 6 buyer intent clusters — from category discovery to cost evaluation to trend awareness. 9 brands tracked. N=3 methodology. The first AI visibility study of the private label medical skincare category.

Research Scope

264

Total Queries

188

Brand Mentions

Brands Tracked

AI Engines

Buyer Intent Clusters

3×

Runs Per Prompt

Research Findings

Five Questions. Five Answers.

Which Private Label Skincare Brands Do AI Engines Recommend to Estheticians and Med Spa Owners?

Which brands lead AI visibility in private label medical skincare?

High

No single brand dominates. Each of the 4 AI engines picks a different #1: Topix leads Gemini (100.0 visibility), Trilogy Labs leads Google AI Overview (23 mentions), AMP Medical leads ChatGPT (90.0 visibility), and Cosmedical leads Perplexity (100.0 visibility). This is the most fragmented leadership of any AIVO benchmark study.

The private label medical skincare market has no incumbent AI champion. Unlike beauty (e.l.f. leads 4 of 5 engines) or cruise (Royal Caribbean leads all 4), this category is genuinely up for grabs. The brand that builds a systematic AI content strategy first will be extremely difficult to displace.

Implication: For estheticians and med spa owners researching private label partners through AI, the recommendations they receive depend heavily on which platform they use. This means no single brand has locked up the AI recommendation channel — and the opportunity cost of inaction is losing this window to a competitor.

Does high visibility quality translate to broad discovery?

High

No — the study reveals a sharp quality-vs-breadth paradox. Cosmedical ranks #1 in avg visibility score (95.26) but appears in only 6 of 22 prompts (27% coverage). Trilogy Labs ranks #3 in visibility (87.87) but appears in 12 of 22 prompts (55% coverage) with 47 total mentions — 2.5x Cosmedical's 19.

Visibility score measures how prominently a brand is positioned when it appears. Prompt coverage measures how often it appears at all. These are independent metrics. Cosmedical is the quality leader in a narrow slice of the buyer journey; Trilogy Labs is the breadth leader across the full journey. Neither is the clear winner.

Implication: Brands optimizing only for visibility score risk being invisible across most buyer queries. Brands optimizing only for mention frequency risk being poorly positioned when mentioned. The winning strategy requires both — which means content must address all 6 buyer intent clusters, not just category discovery.

Where in the buyer journey do brands appear — and where are they invisible?

High for category_discovery (n=154). Medium for other clusters (small sample sizes: n=4 to n=11).

Category discovery prompts ('best private label skincare for estheticians') generate 154 brand mentions across 60 responses — 82% of all mentions in the study. The other 5 clusters combined generate only 34 mentions across 204 responses. Entrepreneur entry (60 responses) produces just 4 brand mentions. Trend/market queries (48 responses) produce just 3. Cosmedical appears only in category discovery (18 mentions) and quality compliance (1 mention) — zero in the other 4 clusters.

AI treats 'best private label skincare' queries as brand recommendation opportunities but treats 'how to start a skincare line' queries as educational content — and rarely names specific brands. The brands that DO appear in educational/entrepreneurial queries (Trilogy Labs, Vitelle Labs, Ataliene) have content that directly addresses those topics. Cosmedical's site doesn't.

Implication: The private label skincare buyer journey in AI has a massive 'dark zone' — 5 of 6 intent clusters where AI rarely names brands. The brands that build content specifically answering entrepreneur, cost, compliance, and trend questions will capture these underserved queries. This is a content gap, not a brand awareness gap.

Which sources does AI cite when recommending private label skincare partners?

High

Reddit (76 citations across both reddit.com and www.reddit.com) and YouTube (91 citations across youtube.com and www.youtube.com) are the most-cited source types. Among brand domains, trilogylaboratories.com leads with 30 citations across 3 engines. topixpharm.com has 18 citations across 2 engines. cosmedical.co has zero citations — AI never cites Cosmedical's own website as a source.

AI engines build their recommendations from third-party content — Reddit threads, YouTube reviews, industry blogs (spasphere.ai: 27 citations), and niche directories (beautybrandinglab.com: 22, medpaksolutions.com: 24). Trilogy Labs is the only study brand whose own domain is a top citation source. Cosmedical's website is not part of the AI citation ecosystem.

Implication: Being recommended by AI requires being cited by the sources AI trusts. For Cosmedical, this means either building content on their own domain that AI engines cite (educational, comparison, how-to content) or ensuring presence on the third-party sources that dominate citations (Reddit, YouTube, spasphere.ai, beautybrandinglab.com).

Are non-study brands filling the gaps that tracked brands leave?

High

Yes — decisively. 7 non-study brands appeared 109 times in AI responses. RainShadow Labs leads with 35 appearances across all 4 engines. Pravada Private Label (20), Onoxa (13), and Dynamic Blending (14) are also prominent. These brands appear most in entrepreneur entry and trend queries — exactly the clusters where Cosmedical and most study brands are absent.

When no tracked brand answers a buyer query, AI doesn't return nothing — it finds someone else. RainShadow Labs, Pravada, and Onoxa have content that matches the long-tail, educational queries that dominate the private label skincare buyer journey. These are not major competitors in the traditional sense, but they are the brands AI recommends when the traditional competitive set fails to show up.

Implication: The competitive set for AI visibility is not the same as the competitive set for traditional marketing. Cosmedical's traditional competitors are Topix and BrandMD. But in AI, brands like RainShadow Labs and Pravada are capturing the buyer conversations Cosmedical isn't present for. Any AI visibility strategy must account for this expanded competitive landscape.

Brand Rankings

Who Owns the AI Conversation for Private Label MedSpa Skincare?

9 brands tracked across 264 AI queries. Visibility score is quality-weighted (1st position = 100, 2nd = 80, 3rd = 60, 4th = 40, 5th = 20). Prompt coverage shows what percentage of the 22 unique prompts each brand appeared in.

Brand

Mentions

Vis Score

Coverage

Trilogy Labs

87.87high

12/22 (55%)

Ataliene

83.24high

9/22 (41%)

Vitelle Labs

81.47high

7/22 (32%)

Cosmetic Solutions

66.74medium

7/22 (32%)

Topix Pharmaceuticals

90.87high

6/22 (27%)

Cosmedical

95.26high

6/22 (27%)

Induction Therapies

71.88medium

5/22 (23%)

AMP Medical

85.00high

4/22 (18%)

BrandMD Skincare

82.50high

3/22 (14%)

The Quality-vs-Breadth Paradox

Cosmedical leads visibility (95.26) but appears in only 27% of prompts. Trilogy Labs leads mentions (47) across 55% of prompts. Quality and reach are independent metrics.

The Content Signal

Brands that appear broadly (Trilogy Labs 55%, Ataliene 41%) tend to have educational content on their websites addressing multiple buyer intent stages. Brands with narrow appearance (BrandMD 14%, AMP Medical 18%) have primarily product-focused content.

Buyer Intent Analysis

Where Brands Appear — and Where They're Invisible

22 prompts mapped to 6 buyer intent clusters. 82% of brand mentions come from a single cluster.

Category Discovery

category_discovery

Dominant

Best-of and recommendation queries — 'best private label skincare for estheticians', 'top manufacturers for medical practices'

Prompts

Responses

154

Mentions

Brands

Top Brands

Cosmedical

Topix Pharmaceuticals

Trilogy Labs

Vitelle Labs

The only cluster where all 9 study brands appear. This is the 'front door' of AI discovery — and it generates 82% of all brand mentions in the study. Cosmedical and Topix lead on quality here, but Vitelle Labs and Trilogy Labs lead on volume. The gap between quality (avg visibility) and quantity (mentions) is the central paradox of this study.

Entrepreneur Entry

entrepreneur_entry

How-to queries — 'how to start your own skincare brand', 'how to add private label to my spa'

Prompts

Responses

Mentions

Brands

Top Brands

Cosmetic Solutions

Topix Pharmaceuticals

Trilogy Labs

Vitelle Labs

The highest-volume intent cluster (5 prompts, 60 responses) but the lowest brand mention rate — just 4 mentions across 60 responses (6.7%). AI treats these as educational queries, not recommendation opportunities. When brands DO appear, they score perfectly (100.0 avg visibility) — but 93% of the time, AI answers without naming any specific private label partner. Cosmedical has zero presence. This is the biggest content gap in the study.

Women Entrepreneur

women_entrepreneur

Business opportunity queries targeted to women in beauty — 'skincare brand as solo esthetician'

Prompts

Responses

Mentions

Brands

Top Brands

Trilogy Labs

Ataliene

Vitelle Labs

Cosmetic Solutions

Higher brand mention rate (42%) than entrepreneur entry, suggesting AI associates certain brands with the women-in-beauty narrative. Trilogy Labs dominates with 5 of 10 mentions — likely due to content that speaks to solo estheticians. Cosmedical has zero presence despite having a 33-year heritage and a female-founded customer base. This is a missed content opportunity.

Cost & Profitability

cost_profitability

Financial evaluation queries — 'how much does it cost', 'is it profitable', 'minimum order quantity'

Prompts

Responses

Mentions

Brands

Top Brands

Trilogy Labs

AMP Medical

Ataliene

Induction Therapies

Trilogy Labs captures 64% of all brand mentions in cost/profitability queries — AI cites them when discussing pricing, MOQs, and ROI. This suggests Trilogy has public-facing content about pricing and business case that AI can extract. Cosmedical has zero mentions here. For a B2B company where cost is a primary buyer concern, the absence from cost/profitability AI conversations is a significant blind spot.

Quality & Compliance

quality_compliance

Trust and safety queries — 'FDA compliance', 'white label vs private label', 'what to look for in a partner'

Prompts

Responses

Mentions

Brands

Top Brands

Trilogy Labs

Cosmedical

Topix Pharmaceuticals

Induction Therapies

Cosmedical's only non-discovery cluster appearance — one mention with perfect visibility. This is the cluster where Cosmedical's 33-year heritage and Dr. Ciraldo's dermatology credentials should dominate. The fact that Trilogy Labs leads here (3 mentions vs Cosmedical's 1) suggests that compliance and trust content on trilogylaboratories.com is more accessible to AI than the equivalent content on cosmedical.co.

Trends & Market

trend_market

Recency and trend queries — 'worth it in 2026', 'latest trends', 'how medspas are increasing revenue'

Prompts

Responses

Mentions

Brands

Top Brands

Ataliene

Trilogy Labs

The sparsest cluster — only 3 brand mentions in 48 responses (6.3%). AI treats trend queries as industry commentary, not brand recommendations. Ataliene is the unexpected leader (2 of 3 mentions), possibly due to recent blog content or press that includes trend-relevant language. Cosmedical has zero presence. For a brand wanting to signal market relevance and innovation, absence from trend queries is a missed thought leadership opportunity.

Platform Analysis

Do Different AI Platforms Recommend Different Brands?

Each AI engine surfaces different private-label skincare brands with varying frequency and positioning. Understanding platform-specific behavior is critical for multi-engine visibility strategy.

Total Brand Mentions by Engine

Gemini

9 brands

Google AI Overview

8 brands

Perplexity

7 brands

ChatGPT

5 brands

ChatGPT

OpenAI · GPT-4o

Total Mentions

Unique Brands

3.1k

Avg Length

The Generalist

The most selective engine — mentions only 5 of 9 study brands (missing Ataliene, BrandMD, Induction Therapies entirely). When it does recommend, it ranks brands evenly without strong favorites. AMP Medical leads with 90.0 avg visibility. ChatGPT treats private label skincare as a niche topic and provides fewer, more curated recommendations.

Perplexity

Perplexity AI · Sonar

Total Mentions

Unique Brands

2.3k

Avg Length

The Specialist

The citation-forward engine — produces the shortest responses (avg 2,254 chars) but with the most source links. Sharp quality differentiation: Cosmedical and Ataliene both score 100.0 avg visibility with position 1.0, while Topix drops to 55.0 with position 4.0. Perplexity rewards brands with clear, authoritative web content and penalizes brands that rely on reputation alone.

Gemini

Google · Gemini 2.5 Flash

Total Mentions

Unique Brands

3.5k

Avg Length

The Recommender

The most generous recommender — mentions all 9 study brands and generates the highest total mentions (73), nearly 2x Perplexity. Produces detailed, list-style responses with context for each recommendation. Topix Pharmaceuticals scores a perfect 100.0 with position 1.0 on Gemini — the only engine where Topix leads. Gemini rewards established brands with broad web presence.

Google AI Overview

Google · AI Overview

Total Mentions

Unique Brands

3.6k

Avg Length

The Aggregator

The web-aggregator — produces the longest responses (avg 3,615 chars) by synthesizing organic search results. Trilogy Labs dominates with 23 mentions (38% of this engine's total). Google AI Overview pulls heavily from existing web rankings, making it the engine most influenced by traditional SEO authority. Brands with strong organic search presence (Trilogy Labs, Topix) perform best here.

Platform divergence insight: Platform divergence is significant: ChatGPT mentions only 5 brands while Gemini mentions all 9. Perplexity rewards authoritative web content with the sharpest quality separation (Cosmedical 100.0 vs Topix 55.0). Google AI Overview is most influenced by traditional SEO rankings. A brand that leads on one engine may rank last on another — single-platform optimization is insufficient for this category.

Citation Landscape

Which Sources Does AI Trust for Private Label Skincare?

1,370 total citations across 321 unique domains. Understanding where AI sources its recommendations reveals strategic partnership and content opportunities.

Domain

Citations

Engines

Brand Domain Presence in Citations

Which study brand domains are cited by AI engines as authoritative sources?

trilogylaboratories.com30

topixpharm.com18

inductiontherapies.com12

cosmedical.co0

ampaesthetics.com0

atalieneskincare.com0

brandmd.com0

vitellelab.com0

naturalskincare.com0

Citation insight: cosmedical.co is not cited as a source in any AI response — a critical gap for a 33-year-old brand. AI engines build recommendations from Reddit threads, YouTube videos, industry blogs, and niche directories. Trilogy Labs is the only study brand whose own domain ranks among top citation sources (30 citations, 3 engines). For Cosmedical, the path to sustained AI visibility requires either building citation-worthy content on cosmedical.co or establishing presence on the third-party sources AI already trusts.

Emerging Competitors

Non-Study Brands Appearing in AI Responses

Beyond the 9 tracked brands, AI engines also recommend these competitors — revealing the full competitive landscape in the category.

RainShadow Labs

Mentions

Pravada Private Label

Mentions

Dynamic Blending

Mentions

Onoxa

Mentions

Selfnamed

Mentions

Blanka

Mentions

Aesthetic Back Bar

Mentions

Hypothesis Scorecard

What We Expected vs. What We Found

Pre-registered hypotheses tested against the data. Transparency in methodology builds confidence in findings.

Established brands with longer market tenure will dominate AI recommendations in private label medical skincare. Partially confirmed. Cosmedical (33 years) and Topix (est. 1981) have the highest avg visibility scores (95.26 and 90.87), but Trilogy Labs — a newer entrant — leads in total mentions (47) and prompt coverage (55%). Market tenure correlates with quality when mentioned, but not with breadth of discovery. Content strategy appears to matter more than brand age for AI reach.

Partially Confirmed

AI engines will recommend the same brands regardless of buyer intent — brand strength is universal across query types. Rejected. 82% of all brand mentions occur in category discovery queries. Entrepreneur entry queries (the highest-volume intent cluster) produce just 4 brand mentions across 60 responses. The 6 buyer intent clusters have dramatically different brand mention rates (6.3% to 256.7%) and different brand leaders. AI separates educational content from recommendation content, and most brands only appear in the latter.

Rejected

All 4 AI engines will agree on the top 3 private label skincare brands. Rejected. Each engine picks a different #1: Topix (Gemini), Trilogy Labs (Google AI Overview), AMP Medical (ChatGPT), Cosmedical (Perplexity). ChatGPT mentions only 5 of 9 brands while Gemini mentions all 9. Perplexity gives Cosmedical and Ataliene perfect 100.0 scores with position 1.0, while on Gemini those same brands rank mid-tier. This is the most fragmented engine consensus of any AIVO benchmark study.

Rejected

Brands with strong own-domain content will be cited more frequently as sources, creating a citation-visibility flywheel. Confirmed for Trilogy Labs — trilogylaboratories.com is cited 30 times across 3 engines AND Trilogy has the highest mention count (47). topixpharm.com is cited 18 times across 2 engines and Topix ranks #2 in visibility. cosmedical.co has zero citations and Cosmedical, despite the highest visibility score, has only 19 mentions. Citation authority and brand mention breadth appear correlated — the brands AI cites as sources are the brands it recommends most broadly.

Confirmed

Methodology

How We Built This Study

22 unbranded industry-level prompts designed to reflect real buyer search patterns across 6 intent clusters. No brand names in prompts. Scope is private label medical skincare specifically; results should not be extrapolated to general skincare or beauty AI visibility.

AI Engines Tested

ChatGPT(OpenAI (GPT-4o))

Perplexity(Perplexity (Sonar))

Gemini(Google (Gemini 2.5 Flash))

Google AI Overview(Google (AI Overview))

High for brand-level and engine-level findings (n=66 per engine, n=188 brand mentions). Medium for topic cluster cross-tabs where some clusters have low brand mention counts (entrepreneur_entry n=4, trend_market n=3).

Confidence Level

3×

Runs Per Prompt

264

Total Queries

May 20, 2026

Study Period

Study Design

22 unbranded prompts across 6 buyer intent clusters: Category Discovery (5), Entrepreneur Entry (5), Women Entrepreneur (2), Cost & Profitability (3), Quality & Compliance (3), Trends & Market (4)
4 AI engines: ChatGPT (GPT-4o), Perplexity (Sonar), Gemini (2.5 Flash), Google AI Overview
3 runs per prompt per engine (AIVO n=3 standard) — 264 total AI queries
US market, English language
All prompts are industry-level (no brand names included) to measure organic discovery

Brand Universe

9 private label medical skincare companies tracked: Cosmedical, Topix Pharmaceuticals, Trilogy Labs, AMP Medical, Ataliene, BrandMD Skincare, Vitelle Labs, Induction Therapies, Cosmetic Solutions
Brands selected based on market presence, competitor overlap from client intake, and buyer relevance
Non-study competitors captured when mentioned in AI responses (7 additional brands detected)

Analysis Pipeline

Brand mention extraction: automated parsing of AI responses for brand name variants and domain references
Position scoring: 1st mention = 100, 2nd = 80, 3rd = 60, 4th = 40, 5th+ = 20
Citation extraction: URL and domain parsing from AI response source links
Topic tagging: each prompt tagged to one of 6 buyer intent clusters based on query type metadata
Run consistency analysis: variance across 3 runs per prompt per engine, reported per-engine

Statistical Rigor

264 total queries across 4 engines provides high confidence for brand-level and engine-level findings
66 responses per engine (22 prompts × 3 runs) — sufficient for per-engine brand rankings
Topic cluster sample sizes vary: category_discovery (n=154 mentions) is high-confidence; entrepreneur_entry (n=4), trend_market (n=3) are directional only
Run consistency reported per engine with variance percentages — no single-run findings reported without caveat
Analysis performed by AIVO Intelligence Platform

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