Kopari Beauty AI Visibility Market Strategy Report - Sunscreen Brands

Answer Capsule

Kopari Beauty recorded 0.0% valid recommendation coverage in the October 2026 LLM Authority Index sunscreen benchmark, with zero valid recommendations across 622 qualified observations. The brand also recorded a 0.0% raw mention presence rate, meaning it did not appear in any qualified AI answer in the benchmark set. Kopari Beauty's clearest weakness is total absence from the recommendation layer, not weak placement or negative framing. Its clearest opportunity is establishing any measurable presence in the high-intent dermatologist-recommended sunscreen prompt cluster where every tracked competitor is already visible.

Who This Report Is For

This report is for Kopari Beauty's brand, growth, and ecommerce leadership, and for category strategists evaluating why some sunscreen brands are structurally absent from AI-generated recommendations while competitors accumulate shortlist placement.

Report Card

Executive Summary

Kopari Beauty holds no measurable position in the October 2026 sunscreen AI recommendation benchmark. The brand recorded 0.0% valid recommendation coverage, 0.0% raw mention presence, 0.0% top-three rate, and 0.0% rank-one rate across 622 qualified observations. It is the only tracked brand in the set with zero mentions of any kind.

This is not a placement problem or a sentiment problem. It is an absence problem. Every other tracked brand, including Vichy at 1.6% coverage and Sun Bum at 10.3%, registered at least some presence in the qualified benchmark set. Kopari Beauty registered none.

The benchmark's single qualified cluster, Best Dermatologist Recommended Skin Care Brands, is a consideration-stage prompt set covering discovery and shortlist questions such as which sunscreen is best for acne-prone skin, which brand dermatologists recommend most, and which sunscreen is best for rosacea. Kopari Beauty does not appear in AI answers to any of these prompts in the October 2026 data.

The brand's July 2026 baseline was also effectively zero, at 0.4% valid recommendation coverage with two valid recommendations across 557 observations. The movement from July to October was a decline of 0.4 percentage points, which the benchmark flags as significant on a large relative basis but which represents a shift of a handful of observations. The practical read is that Kopari Beauty has been at or near zero across the full tracked series.

No platform in the tracked set surfaced Kopari Beauty in October 2026. ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode each recorded zero mentions and zero valid recommendations for the brand.

The category context matters here. La Roche-Posay leads at 92.9% valid recommendation coverage, CeraVe sits second at 76.2%, and the top four brands all sit at or above 72.2%. The recommendation layer in this category is concentrated and well-populated. Kopari Beauty is not competing for position within it. It is outside it entirely.

What Kopari Beauty Is Winning

The uploaded data does not support any evidence-backed wins for Kopari Beauty in the October 2026 benchmark. The brand recorded zero mentions, zero valid recommendations, zero top-three placements, zero rank-one placements, and a net sentiment score of 0.0 based on zero classified mentions.

There is no cluster where the brand outperforms, no platform where it holds a recommendation signal, and no prompt type where it registers. This section is stated plainly because the data does not support a positive finding, and overstating thin evidence would misrepresent the benchmark.

One structural note is worth recording without overstating it: Kopari Beauty also recorded zero negative mentions. The brand is not being framed unfavorably in AI answers. It is simply not being framed at all.

Where Kopari Beauty Has the Clearest AI Visibility Gaps

Questions This Section Answers

• How far behind are competitors like La Roche-Posay and CeraVe in the dermatologist-recommended sunscreen prompts?
• Why is the citation layer dominated by editorial and beauty media rather than brand-owned pages?

The clearest gap is total absence from the recommendation layer. Kopari Beauty does not appear in the qualified benchmark set at all, which means it is not present in the answers where buyers are forming sunscreen shortlists.

The benchmark's qualified cluster is built around dermatologist-recommended skin care and sunscreen discovery prompts. These are consideration-stage questions where buyers ask AI systems which brand to choose. Competitors including La Roche-Posay, CeraVe, EltaMD, and Neutrogena are converting these prompts into top-three placements at rates between 31.8% and 72.0%. Supergoop, despite a 13.3-point coverage decline since July, still holds 52.2% valid recommendation coverage. Even Cetaphil, at 31.7% coverage, and Sun Bum, at 10.3%, maintain a measurable foothold.

Kopari Beauty holds none. The gap is not a matter of trailing a competitor by a few points. It is the difference between being in the answer set and being absent from it.

The benchmark also shows that no tracked brand's own domain appears among the top 10 cited domains in AI-generated sunscreen recommendations. The citation layer is dominated by editorial and beauty media sources including allure.com, byrdie.com, and glamour.com, alongside general news outlets, retail platforms, video, social, and community sources. This means brand-owned pages are not the primary evidence layer AI systems draw from in this category. For a brand with zero presence, the question is not only whether owned content is retrievable, but whether the brand appears in the third-party editorial and retail sources that AI systems actually cite.

Biggest Opportunity

The single clearest opportunity for Kopari Beauty is to establish first-touch presence in the dermatologist-recommended sunscreen and skin care discovery cluster, where the brand currently registers zero mentions and zero recommendations.

This is a presence-building problem before it is a placement problem. The brand cannot improve its top-three rate or rank-one rate until it appears in AI answers at all. The benchmark shows that the qualified prompt set is built around high-intent consideration questions covering acne-prone skin, rosacea, combination skin, Accutane use, and general dermatologist recommendation queries. Kopari Beauty does not surface in any of them.

The path from zero to measurable presence runs through the public evidence layer. The benchmark's citation data shows that AI systems in this category draw heavily from editorial beauty media, general news, retail, video, social, and community sources. A brand that is not represented in those source types, or not represented in the specific pages AI systems retrieve, has no material for the recommendation layer to work with.

Competitive Landscape

Questions This Section Answers

• Which sunscreen brands hold the strongest recommendation-stage positions in the October 2026 benchmark?
• How does Kopari Beauty's recommendation profile compare to the eight other tracked brands?

La Roche-Posay holds dominant recommendation-stage strength in the sunscreen category at 92.9% valid recommendation coverage, with CeraVe, EltaMD, and Neutrogena forming a strong second tier. Kopari Beauty sits outside the competitive set entirely, with no recommendation-stage presence in the October 2026 benchmark.

Average recommended rank covers rank-eligible recommendations only.

Kopari Beauty's row shows zero across every recommendation metric. The brand has no rank-eligible recommendations, so average recommended rank is not applicable. Its sentiment score of 0.0 reflects zero classified mentions rather than negative framing. The table shows a category where eight of nine tracked brands hold at least some recommendation-stage presence and one holds none.

Prompt Evidence

Questions This Section Answers

• Which sunscreen brands appeared in the AI answers where Kopari Beauty was absent?
• Which high-intent sunscreen prompts does Kopari Beauty fail to surface in across the tracked platforms?

ChatGPT / Best Dermatologist Recommended Skin Care Brands Prompt: "What is the most recommended sunscreen by dermatologists?" Result: Kopari Beauty did not appear in the response. La Roche-Posay, CeraVe, and EltaMD were recommended.

Google AI Overviews / Best Dermatologist Recommended Skin Care Brands Prompt: "Which sunscreen is best for acne-prone skin?" Result: Kopari Beauty was absent. CeraVe and La Roche-Posay held top-three placements in this prompt type.

Perplexity / Best Dermatologist Recommended Skin Care Brands Prompt: "What is the best mineral sunscreen for rosacea?" Result: Kopari Beauty did not surface. EltaMD and La Roche-Posay were recommended.

Gemini / Best Dermatologist Recommended Skin Care Brands Prompt: "Which sunscreen is best for combination skin?" Result: Kopari Beauty was not mentioned. CeraVe and Neutrogena appeared in the recommendation set.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map every qualified sunscreen prompt where Kopari Beauty is absent, identify which competitors absorb those answers, and establish the baseline presence gap across all six tracked platforms.

Phase 2: Recommendation Readiness Plan Define which prompt clusters and buyer-intent questions represent the most achievable first-touch entry points, given that the brand currently holds zero presence and needs to build from the ground up.

Phase 3: Owned Answer Layer Buildout Develop brand-owned content structured to answer the specific high-intent questions in the qualified cluster, covering acne-prone skin, rosacea, combination skin, and dermatologist recommendation queries.

Phase 4: Citation / Authority Layer Development Build presence in the third-party editorial, retail, and community source types that AI systems actually cite in this category, since the benchmark shows no brand-owned domain appears among the top 10 cited sources.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track month-over-month movement in raw mention presence, valid recommendation coverage, and top-three placement to measure whether the brand is moving from zero into measurable presence.

Why This Matters

AI presence alone is not enough, but for Kopari Beauty the immediate issue is that presence is entirely absent. The brand is not losing shortlist positions to competitors. It is not entering the shortlist conversation at all. In a category where La Roche-Posay converts 92.9% of qualified observations into valid recommendations and CeraVe converts 76.2%, the gap between being recommended and being invisible is the gap between competing for buyer attention and not competing at all.

The next move is targeted correction of the prompt, page, and citation layers. That means identifying which specific questions the brand should be answering, building owned content that answers them, and establishing presence in the third-party sources that AI systems retrieve and cite. The benchmark shows the scoreboard. For Kopari Beauty, the scoreboard currently reads zero, and the work starts with getting on it.

Core Metrics

Sentiment Score

Sentiment Score = (positive mentions × 1 + neutral mentions × 0 + negative mentions × -1) / total mentions

Kopari Beauty's sentiment score is 0.0, calculated from zero positive mentions, zero neutral mentions, and zero negative mentions across zero total mentions. This is not a neutral sentiment reading in the conventional sense. It is the absence of any classified mention.

This distinction matters because unclassified mention counts are misleading. A brand with zero mentions and a brand with equal positive and negative mentions can both produce a sentiment score near zero, but they represent entirely different situations. Kopari Beauty's score reflects non-participation in the recommendation layer, not balanced framing.

Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, and for Kopari Beauty the classification set is empty.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of Kopari Beauty's position in the October 2026 LLM Authority Index AI Visibility Market Discovery Index for Sunscreen Brands. It is not a client implementation case study and does not imply that any remediation work has been performed.
2. The reporting month is October 2026, with comparison data from July 2026, August 2026, and September 2026 where available.
3. Six AI and search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode. All six carried at least one qualified observation in the benchmark period.
4. The October 2026 benchmark began with 800 prompt-surface observations and produced 622 qualified observations after qualification. The July 2026 baseline produced 557 qualified observations.
5. The competitor universe consists of nine tracked brands: CeraVe, Cetaphil, EltaMD, Kopari Beauty, La Roche-Posay, Neutrogena, Sun Bum, Supergoop, and Vichy.
6. One public high-intent cluster was qualified in the benchmark: Best Dermatologist Recommended Skin Care Brands, a consideration-stage prompt set. Two additional clusters covering brand comparisons and pricing and value recorded no qualified observations.
7. Stage 0 extraction covers the prompt-level observations that retain the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed.
8. A mention is counted when a tracked brand appears in a qualified AI response, regardless of whether it is recommended.
9. A valid recommendation is counted when a brand receives a positive recommendation with a rank position of 1 through 10 in a qualified observation. Negative, neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations.
10. Brand-level percentages use the 622 qualified observations as the public denominator, not the 800 raw prompt-surface collections.
11. Kopari Beauty recorded zero mentions and zero valid recommendations across all 622 qualified observations in October 2026. Its July 2026 baseline recorded two valid recommendations across 557 observations, producing 0.4% coverage.
12. The benchmark does not measure market share, sales attribution, organic search ranking performance, social media engagement, or causality from metric movement alone. Source presence in the citation layer is evidence about the information environment, not proof that a source caused a recommendation.

See How AI Is Recommending Your Brand

The public benchmark shows where Kopari Beauty stands in the sunscreen category. A company-level AI visibility audit maps the specific prompts, competitors, platforms, and source patterns behind that position, and turns the current standings into a prioritized plan for building measurable presence in AI-generated recommendations.