Vichy AI Visibility Market Strategy Report - Sunscreen Brands

Answer Capsule

Vichy holds almost no recommendation-stage visibility in the October 2026 sunscreen benchmark, with valid recommendation coverage of 1.61% across 622 qualified observations. The brand appears in just 13 of 622 observations and converts only 10 of those into valid recommendations, leaving it far behind category leader La Roche-Posay at 92.93%. Vichy's clearest weakness is its near-total absence from the consideration-stage prompt cluster that drives the category, and its clearest opportunity is a narrow but real recommendation pocket on ChatGPT and Google AI Overviews where it still earns first-position credit.

Who This Report Is For

This report is for Vichy brand, marketing, and ecommerce leaders who need to understand why the brand is nearly invisible in AI-generated sunscreen recommendations and where the most realistic path back into the buyer shortlist begins.

Report Card

Executive Summary

Vichy is present in the sunscreen category's AI recommendation layer but is not meaningfully recommended. Across 622 qualified observations in October 2026, the brand recorded a raw mention presence rate of 2.09% and a valid recommendation coverage rate of 1.61%, meaning it appears in roughly one in fifty AI answers and is recommended in fewer than that. This is not a framing problem or a sentiment problem. Vichy's net sentiment score of 0.9231 is strong, and it recorded zero negative mentions. The problem is scale of presence and conversion into recommendation.

The gap to the category leader is extreme. La Roche-Posay holds 92.93% valid recommendation coverage, CeraVe holds 76.21%, and EltaMD holds 73.47%. Vichy's 1.61% places it eighth of nine tracked brands, ahead only of Kopari Beauty, which recorded zero presence across the entire qualified set. The distance between Vichy and the nearest brand above it, Sun Bum at 10.29%, is more than six times Vichy's own coverage rate.

Vichy's strongest cluster is the only cluster with data: Best Dermatologist Recommended Skin Care Brands, a consideration-stage prompt set. Within that cluster, Vichy recorded 13 mentions, 12 positive and one neutral, with a top-three recommendation rate of 0.48% and a rank-one rate of 0.32%. The brand earned three top-three placements and two first-position placements across the full benchmark. Those are small absolute counts, but they confirm that when Vichy does surface, AI systems are willing to place it.

The strongest platform signal for Vichy is ChatGPT, where the brand recorded a 1.16% rank-one rate and a 1.16% top-three rate, along with a 4.65% raw mention presence rate. Google AI Overviews produced the second-strongest signal, with a 0.65% rank-one rate and a 0.65% top-three rate. Copilot, Gemini, Perplexity, and Google AI Mode produced either zero recommendation credit or negligible presence.

The clearest gap is structural. Vichy is essentially absent from the prompt families that drive the category's recommendation layer. The benchmark's qualified observations are dominated by questions about the best sunscreen for acne-prone skin, rosacea, Accutane, combination skin, and dermatologist-recommended options. Vichy does not appear in those answers at scale. The brand's 2.09% presence rate means it is missing from roughly 98% of the AI answers where a sunscreen recommendation is formed.

What Vichy Is Winning

Questions This Section Answers

• Where does Vichy actually earn recommendation credit in AI sunscreen answers?
• How strong is Vichy's sentiment compared with its overall visibility?

Vichy's wins in this benchmark are narrow but real, and they should be read as evidence of a functioning recommendation pocket rather than a broad position.

The brand recorded zero negative mentions across all 622 qualified observations. Its net sentiment score of 0.9231 is the fourth-highest in the tracked set, behind EltaMD, La Roche-Posay, and Supergoop. When Vichy appears, AI systems frame it positively or neutrally. There is no cautionary or displaced framing attached to the brand in this dataset.

Vichy also earned first-position credit on two separate observations, producing a rank-one rate of 0.32%. This is a very small count, but it confirms that at least some AI answers place Vichy as the top recommendation rather than as a passing reference. The brand's average recommended rank of 4.0 across its rank-eligible recommendations is competitive with Sun Bum at 4.09 and Cetaphil at 3.40.

The strongest platform pocket is ChatGPT. Vichy recorded a 4.65% raw mention presence rate on ChatGPT, a 1.16% top-three rate, and a 1.16% rank-one rate. That is the only platform where Vichy earned meaningful recommendation credit. Google AI Overviews produced a second, smaller pocket with a 0.65% rank-one rate.

These are not category-level wins. They are evidence that Vichy has a functioning but extremely thin recommendation footprint that can be studied and potentially expanded.

Where Vichy Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why is Vichy's 1.61% recommendation coverage driven by absence rather than weak placement?
• Which platforms and competitor brands absorb the sunscreen recommendations Vichy is missing?

Vichy's clearest gap is not placement. It is presence. The brand is absent from the vast majority of AI answers where sunscreen recommendations are formed, and that absence is the primary driver of its 1.61% valid recommendation coverage.

The comparison to Sun Bum makes the gap concrete. Sun Bum recorded a 12.38% raw mention presence rate and a 10.29% valid recommendation coverage rate, both roughly six times Vichy's figures. Sun Bum is not a category leader. It is a mid-tier brand operating on a thin base. Vichy sits below even that base. The distance between Vichy and the nearest brand above it is larger than the distance between Sun Bum and the category leader.

The gap is also structural across platforms. Vichy recorded zero recommendation credit on Copilot, Gemini, and Perplexity. On Google AI Mode, the brand recorded a 1.32% presence rate but only a 0.66% top-three rate and zero rank-one credit. This means Vichy is not just under-recommended on those platforms. It is largely not retrieved at all. When AI systems on those surfaces assemble a sunscreen shortlist, Vichy is not in the candidate pool.

The cluster-level picture reinforces the same conclusion. All 622 qualified observations in October 2026 fell into the consideration-stage cluster, Best Dermatologist Recommended Skin Care Brands. Vichy's presence within that cluster was 13 observations out of 622. The brand is not losing placement battles inside the cluster. It is not entering the cluster's answers in the first place.

The competitive displacement pattern is clear. La Roche-Posay, CeraVe, EltaMD, and Neutrogena collectively hold valid recommendation coverage above 72%. Supergoop holds 52.25%. Cetaphil holds 31.67%. Sun Bum holds 10.29%. Vichy holds 1.61%. The category's recommendation layer is concentrated at the top, and Vichy is outside the concentration entirely.

Biggest Opportunity

Questions This Section Answers

• Why does Vichy need to enter more AI sunscreen answers before it tries to displace the category leader?
• Which source types actually feed the sunscreen citations AI systems rely on?

Vichy's biggest opportunity is to convert its existing ChatGPT and Google AI Overviews recommendation pocket into a broader presence footprint across the consideration-stage prompt families that drive the category.

The benchmark shows that Vichy can be recommended. It earned first-position credit on ChatGPT and Google AI Overviews, and its average recommended rank of 4.0 is competitive with mid-tier brands. The problem is that this pocket is too small to matter at category scale. The brand needs to appear in more of the answers where buyers ask which sunscreen is best for acne-prone skin, rosacea, Accutane, combination skin, and dermatologist-recommended options.

This is a presence problem before it is a placement problem. Vichy does not need to displace La Roche-Posay from the top of the shortlist. It needs to enter the shortlist at all. The brand's 2.09% presence rate means it is missing from roughly 98% of the AI answers where a sunscreen recommendation is formed. Even a modest expansion of presence into the consideration-stage prompt families would produce a measurable lift in valid recommendation coverage, because Vichy's conversion rate from mention to recommendation is already strong at 76.9%.

The opportunity is specific: expand retrievable, citable, dermatologist-relevant evidence about Vichy sunscreen products into the source layer that AI systems draw from when answering high-intent sunscreen questions. The benchmark's citation data shows that editorial and beauty media sources dominate the top of the citation layer, with allure.com, byrdie.com, and glamour.com appearing alongside general news outlets. No tracked brand's own domain appears in the top 10 cited domains. That means the path into AI answers runs through third-party editorial and retail sources, not through owned brand pages alone.

Competitive Landscape

Questions This Section Answers

• How does Vichy's top-three and rank-one rate compare with Sun Bum, Cetaphil, and the category leaders?
• Does Vichy's average recommended rank show a placement problem or a presence problem?

La Roche-Posay holds dominant recommendation-stage strength in the sunscreen category, with CeraVe and EltaMD forming a strong second tier. Vichy sits at the bottom of the tracked set, ahead only of Kopari Beauty, which recorded no presence at all.

Average recommended rank covers rank-eligible recommendations only.

Vichy's position in this table is defined by near-total absence rather than weak placement. The brand's top-three rate of 0.48% and rank-one rate of 0.32% are the second-lowest in the tracked set, ahead only of Kopari Beauty. Its average recommended rank of 4.00 is competitive with Sun Bum and Cetaphil, which means that when Vichy does earn rank credit, it places reasonably. The gap is in how often that happens.

Prompt Evidence

ChatGPT / Best Dermatologist Recommended Skin Care Brands Prompt: "What is the best sunscreen for rosacea?" Result: Vichy earned first-position recommendation credit on ChatGPT for this prompt family, one of only two rank-one placements the brand recorded across the full benchmark.

Google AI Overviews / Best Dermatologist Recommended Skin Care Brands Prompt: "What is the most recommended sunscreen by dermatologists?" Result: Vichy appeared in the answer but did not earn top-three placement, illustrating the brand's presence-without-placement pattern on this platform.

Gemini / Best Dermatologist Recommended Skin Care Brands Prompt: "Which sunscreen is best for combination skin?" Result: Vichy did not appear in the answer. La Roche-Posay, CeraVe, and EltaMD occupied the recommendation positions.

Perplexity / Best Dermatologist Recommended Skin Care Brands Prompt: "What is the best mineral sunscreen for rosacea?" Result: Vichy recorded zero recommendation credit on Perplexity across the full benchmark, consistent with the brand's absence from this platform's sunscreen answers.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map every high-intent sunscreen prompt where Vichy is absent, and identify which competitors absorb the recommendation in each case.

Phase 2: Recommendation Readiness Plan Prioritize the consideration-stage prompt families where Vichy's existing ChatGPT and Google AI Overviews pocket can be expanded into broader presence.

Phase 3: Owned Answer Layer Buildout Strengthen Vichy's owned product and dermatologist-relevant content so it answers the specific questions AI systems ask about rosacea, acne-prone skin, Accutane, and combination skin.

Phase 4: Citation / Authority Layer Development Build retrievable third-party evidence in the editorial, beauty media, and retail sources that dominate the category's citation layer, since no tracked brand's own domain appears in the top 10 cited domains.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Vichy's presence rate, valid recommendation coverage, and top-three placement month over month against the same competitor set to confirm whether the presence gap is closing.

Why This Matters

AI presence alone is not enough, but for Vichy the problem is more basic: the brand is not present at scale in the answers where buyers form their sunscreen shortlist. A 2.09% presence rate means Vichy is missing from roughly 98% of the AI answers that recommend a sunscreen brand. Buyers asking which sunscreen is best for their skin condition are not seeing Vichy in the response.

The next move is targeted correction of the prompt, page, and citation layers. Vichy does not need to win the category. It needs to enter the consideration set. The brand's existing recommendation pocket on ChatGPT and Google AI Overviews, combined with its strong sentiment and competitive average recommended rank, shows that the underlying recommendation mechanics work when Vichy is retrieved. The work is to make retrieval happen more often.

Core Metrics

Sentiment Score

Questions This Section Answers

• What does Vichy's 0.9231 sentiment score say about how AI frames the brand when it appears?
• Why is Vichy's low mention count not evidence of weak brand perception?

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

Vichy's sentiment score is 0.9231, calculated from 12 positive mentions, one neutral mention, and zero negative mentions across 13 total mentions. This is a strong framing score. When Vichy appears in AI answers, the brand is framed positively or neutrally, with no cautionary or negative language attached.

This matters because unclassified mention counts are misleading. A brand that appears in 13 answers with positive framing is in a different position than a brand that appears in 13 answers with cautionary framing. Vichy's sentiment score confirms that the brand's problem is not how it is described. It is how often it is described at all.

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. Vichy's 13 mentions are almost entirely positive recommendations, which means the brand's small footprint is a high-quality footprint. Counting all mentions as wins would be bad measurement, but so would treating Vichy's low mention count as evidence of weak brand perception. The data shows the opposite: Vichy is well-framed but rarely retrieved.

Classified sentiment is required before interpreting AI visibility. Vichy's 0.9231 score tells a clearer story than its 2.09% presence rate alone. The brand is not losing recommendation battles on framing. It is losing them on absence.

Sentiment by Platform

Questions This Section Answers

• On which AI platforms is Vichy present but not recommended, and what does that pattern show?

Methodology

1. This report is a benchmark-based AI market strategy analysis of Vichy's visibility and recommendation position in the sunscreen category. 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. The benchmark series also includes July 2026, August 2026, and September 2026 measurements for trend context.
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 October 2026.
4. The October 2026 benchmark began with 800 prompt-surface observations and produced 622 qualified observations after qualification. The qualified set is the public denominator for all brand-level percentages.
5. Nine sunscreen brands were tracked: CeraVe, Cetaphil, EltaMD, Kopari Beauty, La Roche-Posay, Neutrogena, Sun Bum, Supergoop, and Vichy.
6. One public high-intent cluster carried data in October 2026: 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 retained the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources for each observation.
8. A mention is counted when a tracked brand appears in an AI response, regardless of whether it is recommended, referenced, or listed as context.
9. A valid recommendation is counted when a brand receives explicit recommendation credit with a rank position of 1 through 10. Neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations.
10. Vichy's absolute counts are small. Ten valid recommendations out of 622 observations is the entire basis of the 1.61% coverage figure, and small counts make rates sensitive to single observations. Percentage movements should be read alongside the absolute counts.
11. The benchmark does not measure market share, sales attribution, organic search ranking performance, social media mention volume, or causality from any metric movement. Source presence is evidence about the information environment, not proof that a source caused a recommendation.
12. The benchmark's citation layer is drawn from 7,633 citations across 1,406 unique domains in October 2026. No tracked brand's own domain appears in the top 10 cited domains.

See How AI Is Recommending Your Brand

The public benchmark shows where Vichy stands in the sunscreen category's AI recommendation layer. A company-level AI visibility audit maps the specific prompts, competitors, and sources behind that position, and turns the category standings into a prioritized plan for entering more of the answers where buyers form their sunscreen shortlist.