How AI Search Is Recommending Dermatologist Recommended Skin Care Brands: Monthly Trends

Executive Summary

The category held steady at the top in September 2026, with CeraVe leading coverage at 91.2%, nearly 2 points ahead of La Roche-Posay at 89.3%. This represents a leadership position that has remained stable across all three months of the tracking period, with CeraVe holding between 90.7% and 93.2% coverage. The month-over-month change for the leader was minimal, a 2.0 point dip from August's 93.2%, keeping the brand firmly ahead of the rest of the field.

Vanicream was the strongest upward mover in September, reaching 70.8% coverage, up 6.1 points from its July baseline of 64.7%. This marks its second consecutive month of gains and cements its position as the clear third-place brand in the category. The gains were accompanied by increased presence, with Vanicream appearing in 73.2% of responses in September, up 4.6 points from July's 68.6%.

The sharpest declines came from three brands that have each fallen for two consecutive months. Neutrogena fell to 49.9% from its July baseline of 55.5%, a 5.6 point drop. Eucerin fell to 26.7% from 32.7%, a 6.0 point decline. Aveeno slipped to 41.0% from 46.4%, a 5.4 point loss. All three are classified as significant decliners over the full tracking period, with each showing a two-month downward streak.

Research scope (September 2026): 800 total prompt-surface observations → 653 unique questions → 800 brand/competitor mentions → 785 relevant → 15 irrelevant → 760 public qualified observations.Baseline scope (July 2026): 800 total prompt-surface observations → 671 unique questions → 787 relevant → 13 irrelevant → 773 public qualified observations.

Key Findings

Benchmark Context

The report separates the raw collection universe from the qualified analysis set. Brand-level recommendation percentages are calculated within the qualified benchmark set.

Benchmark-Level Metrics

The August intermediate month saw qualified observations of 760, with a recommendation-shaped answer share of 72.1% and a valid recommendation shortlist share of 93.8%.

AI Recommendation Trend

Recommendation Coverage by Brand

CeraVe and La Roche-Posay held coverage above 89% throughout the tracking period, with neither brand showing significant movement. The significant movement this month came from individual brands rather than a broad category-wide shift: Vanicream's rise, and the sustained declines of Aveeno, Eucerin, and Neutrogena, drove the overall pattern, while the remaining six brands stayed within normal month-to-month variation.

What Changed This Month

Vanicream: The Significant Riser

Vanicream's climb to 70.8% coverage in September from its July baseline of 64.7% represents a 6.1 point gain across the tracking period. This followed a 4.0 point rise in August, showing a consistent upward trend. The brand now holds a clear third-place position, 11.3 points ahead of Cetaphil in fourth.

The rise was accompanied by a meaningful increase in presence. Vanicream appeared in 73.2% of September responses, up from 68.6% in July. However, recommendation quality tells a more nuanced story: its top-three rate rose a modest 1.9 points to 22.6%, while its rank-one rate dipped slightly from 6.6% to 6.3%. This means Vanicream is being mentioned more often but is not converting those mentions into the single top recommendation at a higher rate.

The distinction here is between visibility and recommendation strength. Vanicream is winning a larger share of conversations, but its position within those answers is not advancing at the same pace. This pattern suggests growing mindshare without a matching gain in first-choice status.

Highest-priority diagnostic: Which prompt patterns are driving Vanicream's presence gains, and why are those gains not translating into a higher share of rank-one recommendations?

Aveeno, Eucerin, and Neutrogena: The Significant Decliners

Three brands each fell more than 5 points from their July baselines, and all three have now declined for two consecutive months. Aveeno dropped to 41.0% from 46.4%, Eucerin to 26.7% from 32.7%, and Neutrogena to 49.9% from 55.5%. Each brand's decline extended in both August and September, keeping the two-month downward streak intact.

Presence losses were a common thread. Eucerin appeared in only 28.9% of September responses, down 8.2 points from July's 37.1%. Neutrogena's presence fell 6.6 points to 56.3%, and Aveeno's fell 7.5 points to 44.2%. These presence declines outpaced the coverage declines for Aveeno and Eucerin, indicating that these brands are being cut from conversations entirely rather than being mentioned but not recommended.

Neutrogena also lost ground on recommendation quality. Its rank-one rate fell from 2.5% in July to 0.8% in September, a sharp decline. The brand is now recommended first in only 6 of 760 qualified observations, down from 19 of 773.

The distinction between being present and being recommended is critical here. These brands are not simply being ranked lower; they are increasingly absent from the responses AI systems generate for dermatologist-recommended skin care queries. Eucerin's valid recommendation count of 203 reflects a shrinking base of actual recommendations.

Highest-priority diagnostic: Which specific prompt categories are excluding Aveeno, Eucerin, and Neutrogena, and which competitors are capturing those mentions?

EltaMD: The Quiet Shuffle

EltaMD's September coverage of 32.4% was nearly identical to its July baseline of 33.1%, a 0.7 point move that is not significant. However, the brand rose in August to 37.1% before falling back in September, a 4.7 point single-month drop that was not large enough to mark a sustained shift.

The pattern suggests August may have been an outlier rather than the start of a trend. EltaMD's presence in September at 35.9% remained close to July's 36.2%, indicating that the brand is holding a stable share of conversations even though it is not converting that presence into increasing recommendations.

The stable presence but fluctuating coverage points to a positioning issue rather than a visibility issue. EltaMD remains in the mix but is not strengthening its recommendation standing. Its valid recommendation count of 246 in September is down from 256 in July and 282 in August.

Highest-priority diagnostic: What shifted in August to temporarily raise EltaMD's coverage, and why did that shift not hold in September?

Buyer-Intent Interpretation

All 760 qualified observations in September fell into the Brand Recommendation cluster. The public benchmark in this month does not capture head-to-head comparison questions or pricing-and-value queries, and it cannot answer questions about which brand AI prefers when shoppers ask for a direct comparison or which brands are recommended when price is the deciding factor.

Brand Opportunity Summary

The benchmark identifies where attention is warranted; a company-level analysis is needed to explain why.

Evidence Behind the Benchmark

The aggregate metrics are built from prompt-level observations covering query, AI surface, recommendation outcome, rank, sentiment, and citations where exposed. Company-level analysis can go deeper into specific prompt categories, competing brands, AI surface differences, and the external evidence sources that shape each answer. Source presence is not automatically treated as proof of causation.

About This Benchmark

This report is part of the CiteWorks Studio AI Industry Market Discovery research program.

• AI Industry Market Discovery Methodology
• AI Industry Market Discovery Metrics
• AI Industry Market Discovery Standards

Report-Specific Interpretation Notes

• Small-count movements: some brands (such as Differin, with a valid recommendation count of 60 in September) operate on small bases, making percentage movements less stable than for larger brands.
• Qualified denominator: all percentages use the 760 qualified observations as the denominator in September, distinct from the 800 raw prompt-surface observations collected.
• Directional analysis: month-over-month movement identifies changes worth investigating; it does not by itself establish the cause of those changes.

Next Step

The Public Benchmark Shows Where a Brand Is Winning or Losing. A Company-Level Audit Shows Why.

The aggregate percentage hides the specific questions that matter. Which high-intent prompts is a brand winning, and which is it losing? When a brand loses a recommendation, which competitor takes its place? What attributes does AI associate with each option, and which external sources shape those answers?

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. It turns the benchmark's directional signals into a specific action plan.

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