Supergoop AI Market Strategy Report — Sunscreen Brands
This report supports CiteWorks Studio's examination of how AI search is recommending Sunscreen Brands. For more detail, you can also read Sunscreen Brands: AI Discovery Index.
On this report
Key Takeaways
- Supergoop is most visible in discovery prompts tied to invisible, lightweight, makeup-friendly sunscreen.
- The brand trails CeraVe, La Roche-Posay, and EltaMD on top-3 and rank-1 recommendation rates.
- Comparison prompts show weaker recommendation strength than discovery prompts.
- Pricing prompts are the clearest gap, with no positive visibility or rank-1 placements.
This is an independent public analysis by CiteWorks Studio / LLM Authority Index. It is not affiliated with, endorsed by, or sponsored by Supergoop unless explicitly stated.
Answer Capsule
Supergoop appears in 85 of 914 AI observations and earns 55 valid recommendations. Its strongest AI role is not broad category dominance; it is a specific recommendation lane around invisible, primer-like, makeup-compatible sunscreen.
Visibility is not the same as being chosen. Supergoop trails the leading sunscreen brands on overall top-3 and rank-1 recommendation rates, especially against CeraVe, La Roche-Posay, and EltaMD.
The clearest opportunity is to expand from cosmetic-texture leadership into more consistent recommendation credit across comparison and pricing prompts.
Who This Report Is For
This report is for CMOs, brand leaders, ecommerce teams, growth teams, skincare marketers, beauty retailers, agency partners, and communications teams working in sunscreen, SPF skincare, facial sunscreen, body sunscreen, tinted SPF, and daily-use sun-care categories.
It is especially useful for teams that need to know whether AI systems merely mention a sunscreen brand or actually move it into the buyer shortlist.
Report Card
Field | Value |
|---|---|
Report type | AI Market Strategy Report |
Target company | Supergoop |
Category | Sunscreen Brands |
Reporting month | May 2026 |
AI platforms tracked | 6 |
Public high-intent clusters | 3 |
AI observations analyzed | 914 |
Competitors tracked | CeraVe, Cetaphil, EltaMD, Kopari Beauty, La Roche-Posay, Neutrogena, Olay, Sun Bum, Vichy |
Executive Summary
Supergoop is present in 85 of 914 observations and receives 55 valid recommendations. That gives it meaningful AI visibility, but not category-wide recommendation control.
Its strongest cluster is Best Sunscreen Discovery, where Supergoop records an 11.45% positive visibility rate, a 6.05% top-3 recommendation rate, and a 1.73% rank-1 rate. This is where its invisible, lightweight, under-makeup positioning is most clearly recognized.
Sunscreen Comparison is much weaker: 0.95% positive visibility, 8.83% neutral visibility, 0.32% top-3 rate, and no rank-1 placements. Sunscreen Pricing is the clearest gap, with 0% positive visibility, 0% top-3 rate, and 0% rank-1 rate.
By platform, ChatGPT gives Supergoop the broadest positive visibility at 16.42%, while Gemini produces the strongest rank-1 rate at 1.99%. Sentiment is favorable overall: 56 positive mentions, 29 neutral mentions, and 0 negative mentions.
What Supergoop Is Winning
Supergoop is winning a distinct cosmetic-experience position inside AI sunscreen discovery. AI systems repeatedly associate the brand with invisible finish, no white cast, lightweight texture, primer-like wear, and makeup compatibility.
That is a real strategic lane. In a category where AI answers increasingly segment recommendations by skin type, finish, and daily-use context, Supergoop’s role is clear and retrievable.
The brand also carries no negative mentions in the packet. The issue is not reputation; it is converting a narrow strength into broader shortlist authority.
Where Supergoop Has the Clearest AI Visibility Gaps
Supergoop’s first gap is category breadth. Its 3.17% top-3 rate and 0.88% rank-1 rate place it behind the leading dermatologist-trust and safe-default brands.
The second gap is comparison-stage conversion. In Sunscreen Comparison, Supergoop appears often enough to be discussed, but the packet shows mostly neutral visibility rather than recommendation strength.
The third gap is pricing-stage absence. In Sunscreen Pricing, Supergoop records no positive visibility, no top-3 recommendation rate, and no rank-1 placement.
Biggest Opportunity
Supergoop’s biggest opportunity is to turn its cosmetic-texture lane into a broader recommendation architecture.
The brand already has strong AI-recognizable language around invisible sunscreen, primer-like finish, and daily wear. The next move is to connect that strength to high-intent prompts around skin type, value, product comparison, ingredient preference, sensitive skin, and SPF format selection.
Competitive Landscape
Recommendation-stage strength is concentrated among a small group of sunscreen brands. Ordered by top-3 rate, Supergoop sits behind CeraVe, La Roche-Posay, EltaMD, Neutrogena, and Cetaphil.
Brand | Top-3 rate | Rank-1 rate | Avg recommended rank | Sentiment |
|---|---|---|---|---|
CeraVe | 21.88% | 12.80% | 1.58 | 0.7647 |
La Roche-Posay | 21.44% | 6.56% | 1.8878 | 0.8598 |
EltaMD | 12.47% | 7.66% | 1.5702 | 0.7009 |
Neutrogena | 7.99% | 2.30% | 2.0959 | 0.6744 |
Cetaphil | 5.91% | 0.33% | 2.1852 | 0.8732 |
Supergoop | 3.17% | 0.88% | 2.2069 | 0.6588 |
Olay | 1.42% | 0.77% | 1.6923 | 0.5094 |
Sun Bum | 0.77% | 0.33% | 1.7143 | 0.3243 |
Vichy | 0.55% | 0.22% | 2 | 0.4359 |
Kopari Beauty | 0.00% | 0.00% | — | 0 |
Average recommended rank covers rank-eligible recommendations only.
Prompt Evidence
Gemini / Best Sunscreen Discovery — What brand of sunscreen is best? Supergoop is framed as a strong option, with the answer emphasizing that the brand is designed to feel like a high-end primer rather than a traditional sunscreen.
Gemini / Best Sunscreen Discovery — What is the best tinted sunscreen for face? Supergoop is ranked first, with Protec(tint) described as a lightweight skin tint with flexible shades, high protection, and a natural finish.
Google AI Overviews / Best Sunscreen Discovery — Best facial moisturizer with SPF for oily skin? Supergoop is ranked first, with Triple Prep surfaced as a lightweight, matte-finish SPF face moisturizer option.
Perplexity / Best Sunscreen Discovery — Which brand SPF is best for face? Supergoop is ranked first, with Unseen Sunscreen described as sheer and makeup-friendly.
Google AI Overviews / Sunscreen Comparison — Elta MD vs Supergoop? Supergoop appears as the lifestyle and cosmetic-texture alternative, associated with lightweight, invisible formulas and under-makeup daily wear.
What CiteWorks Studio Would Do Next
Phase 1: AI Market Discovery Audit
Map the discovery, comparison, and pricing prompts where Supergoop is present, displaced, or promoted across ChatGPT, Gemini, Copilot, Perplexity, Google AI Mode, and Google AI Overviews.
Phase 2: Recommendation Readiness Plan
Prioritize the clusters where Supergoop is visible but under-converting. The first focus would be Sunscreen Comparison and Sunscreen Pricing, where recommendation strength lags the brand’s discovery-stage identity.
Phase 3: Owned Answer Layer Buildout
Build answer-ready pages around product fit, sunscreen format, finish, skin type, makeup layering, mineral versus chemical preference, and competitor comparisons.
Phase 4: Citation / Authority Layer Development
Strengthen the third-party evidence layer around reviews, dermatology-adjacent validation, beauty-media comparisons, community discussion, and product-level proof for invisible and tinted SPF use cases.
Phase 5: Monthly AI Visibility & Recommendation Tracking
Track movement from presence to recommendation over time, by platform and cluster, with special attention to rank-1 placement, top-3 placement, and comparison-prompt displacement.
Why This Matters
Supergoop is already strongly associated with a differentiated AI recommendation role. That is valuable because sunscreen discovery is increasingly segmented by finish, skin concern, product format, and daily-use behavior.
But specialization alone does not guarantee category leadership. Supergoop’s data shows a brand that is memorable in the right context but not yet consistently chosen across the full sunscreen buying journey.
The strategic question is not whether AI systems know Supergoop. They do. The question is whether they choose Supergoop when the buyer asks which sunscreen is best, which product is better, or which option is worth buying.
Core Metrics
Metric | Value |
|---|---|
Mentions | 85 |
Valid recommendations | 55 |
Top 3 recommendation count | 29 |
Rank #1 recommendation count | 8 |
Average recommended rank | 2.2069 (rank-eligible recommendations only; Sunscreen Pricing carried no ranked positions) |
Positive mentions | 56 |
Neutral mentions | 29 |
Negative mentions | 0 |
Raw mention presence rate | 9.30% |
Valid recommendation coverage | 6.02% |
Top 3 recommendation rate | 3.17% |
Rank #1 recommendation rate | 0.88% |
Net sentiment score | 0.6588 |
Sentiment & Recommendation by Platform
Platform | Positive visibility rate | Rank-1 rate | Readout |
|---|---|---|---|
ChatGPT | 16.42% | 1.49% | Strongest positive visibility surface |
Copilot | 2.16% | 0.72% | Limited positive visibility and low rank-1 conversion |
Gemini | 8.61% | 1.99% | Best rank-1 surface for Supergoop |
Google AI Mode | 0.00% | 0.00% | No positive visibility or rank-1 credit in the packet |
Google AI Overviews | 5.61% | 0.93% | Moderate visibility with some rank-1 support |
Perplexity | 5.00% | 0.00% | Present, but no rank-1 conversion in the packet |
Methodology
This is a one-company report for Supergoop. All other tracked brands are treated as competitors relative to Supergoop.
Reporting month is May 2026. The dataset extraction timestamp is May 20, 2026.
Six AI environments are included: ChatGPT, Gemini, Perplexity, Copilot, Google AI Mode, and Google AI Overviews. The packet contains 914 observations across three normalized public clusters: Best Sunscreen Discovery, Sunscreen Comparison, and Sunscreen Pricing.
A mention counts when Supergoop appears in an AI answer in any form. A valid recommendation requires positive, shortlist-quality inclusion.
Per the dataset’s methodology inputs, sentiment is scored as “negative = -1, neutral = 0, positive = 1.” Rank eligibility is defined as: “Only positive valid recommendations receive rank credit.”
This is a point-in-time packet. AI outputs shift with platform updates, prompt phrasing, geography, personalization, retrieval behavior, and source-ecosystem changes.
Request an AI Visibility Audit
CiteWorks Studio produces AI Market Strategy Reports showing where your brand appears, disappears, or gets recommended across ChatGPT, Gemini, Copilot, Perplexity, Google AI Mode, and Google AI Overviews. Request an AI Visibility Audit.
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