How AI Search Is Recommending Luxury Skin Care Brands: Monthly Trends

Executive Summary

Augustinus Bader remains the clear leader in AI-driven luxury skin care recommendations, holding its top position with valid recommendation coverage of 45.8% in September 2026, up 0.6 points from its August 2026 baseline of 45.2%. The gap to the next brand is substantial, with La Mer at 38.0% and SkinCeuticals at 35.4% in September 2026, positioning Augustinus Bader as the reference point across AI search surfaces for this category.

This was a quiet month for the category, with no brand's movement exceeding the range of normal month-to-month variation. The largest increase came from Dr. Barbara Sturm, whose valid recommendation coverage moved 1.9 points from 9.0% in August 2026 to 10.9% in September 2026, though the move stayed within normal bounds. SK-II also moved up 1.5 points to 13.9%, while SkinCeuticals recorded the largest decline, falling 3.6 points from 39.0% to 35.4%. None of these movements were large enough to signal a change in the category structure, which remains stable across all ten tracked brands.

Both La Mer and SkinCeuticals recorded lower valid recommendation coverage than in August, even though SkinCeuticals also improved its top-three placement rate. Augustinus Bader's lead over the next-closest brand is wider this month than last, though the benchmark cannot establish whether that reflects a lasting change in AI recommendation behavior or ordinary monthly variation.

Each monthly run begins with 800 prompt-surface observations (575 unique questions in September 2026, 567 in August 2026) across the benchmark's defined AI/search surface universe. Of those, 800 mentioned a tracked brand or competitor; 650 were relevant and 150 were irrelevant in September 2026 (654 relevant and 146 irrelevant in August 2026). The public metrics use the 576 observations in September 2026 and 597 in August 2026 that survive both qualification stages.

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.

These stages show how the raw prompt universe narrows into the qualified set used for the brand-level metrics below.

Benchmark-Level Metrics

The gap structure between the top tier and the middle of the pack shifted modestly this month. While the leader held steady, brands in the second tier moved in different directions, with SkinCeuticals and La Mer both declining while SK-II and Dr. Barbara Sturm advanced.

AI Recommendation Trend

Augustinus Bader holds a stable lead as the gap to the next tier widens slightly

No individual brand exceeded normal month-to-month variation in September 2026. The gap between Augustinus Bader and the next closest brand widened from 5.0 points in August to 7.8 points in September, driven mainly by declines at La Mer and SkinCeuticals rather than by any acceleration from the leader itself, and the category overall remains classified as stable across all ten tracked brands.

What Changed This Month

Augustinus Bader

Augustinus Bader's valid recommendation coverage rose from 45.2% in August 2026 to 45.8% in September 2026, a 0.6 point move that keeps it in the leadership position, within the range of normal month-to-month variation. Raw mention presence increased from 68.5% to 72.2%, indicating the brand is appearing in a wider share of AI responses even before recommendation credit is assessed.

Top-three placement improved from 30.8% to 33.0%, and rank-one recommendations rose from 13.1% to 15.8%, with 91 rank-one placements in September 2026 versus 78 in August 2026. Augustinus Bader's net sentiment across mentions stands at 76.0% in September 2026, among the highest in the category.

The brand is not only being recommended more often but is being recommended first more often, which compounds its advantage. The distinction between presence and recommendation credit matters here: Augustinus Bader appears in 72.2% of qualified observations but is recommended in only 45.8%, meaning there is still room to convert mere visibility into recommendation credit.

Highest-priority diagnostic: Which specific prompt categories are driving the rank-one gains, and which competitors appear in the shortlist when Augustinus Bader is not ranked first?

SkinCeuticals

SkinCeuticals recorded the largest coverage decline of any tracked brand, falling from 39.0% in August 2026 to 35.4% in September 2026, a 3.6 point drop. This moves the brand further from the category lead; La Mer, at 38.0%, now sits 2.6 points ahead of it.

Despite the coverage decline, SkinCeuticals improved its top-three rate from 20.3% to 23.3% and its rank-one rate from 5.0% to 7.3%, with 42 rank-one recommendations in September 2026. Raw mention presence dropped from 54.4% to 51.6%.

The pattern is unusual: the brand is winning higher placement when it is recommended, but is being included in recommendations less often overall. This divergence suggests the decline is concentrated at the point of shortlist inclusion rather than at the point of ranking within a shortlist.

Highest-priority diagnostic: Which prompt or surface types account for the reduced shortlist inclusion, and has SkinCeuticals lost ground in specific product categories where it previously held recommendation credit?

Dr. Barbara Sturm

Dr. Barbara Sturm recorded the largest increase this month, with valid recommendation coverage moving 1.9 points from 9.0% in August 2026 to 10.9% in September 2026. The brand's valid recommendation count increased from 54 to 63 observations, a meaningful gain on a small base.

Raw mention presence declined slightly from 19.3% to 18.2%, meaning the coverage gain came from a higher conversion of mentions into recommendations rather than from broader visibility. The brand still holds zero rank-one recommendations in both months, and its average recommended rank moved only slightly, from 4.45 to 4.47, essentially unchanged.

The improving conversion of mentions into recommendation credit is a signal worth watching, even though the brand's overall presence in the category remains modest and this month's move stayed within normal variation.

Highest-priority diagnostic: Which evidence sources or product categories are driving the improved conversion of mentions into recommendation credit?

La Mer

La Mer moved from 40.2% in August 2026 to 38.0% in September 2026, a 2.2 point decline that narrows its distance from SkinCeuticals. La Mer's raw presence remains the highest in the category at 77.1%, down from 78.7%, meaning the brand is discussed in AI responses more than any other tracked brand.

The more notable shift is at the rank-one level, where La Mer fell from 15.2% to 12.2% in September 2026, with rank-one count dropping from 91 to 70. Top-three rate improved slightly from 26.8% to 28.0% with 161 placements, suggesting La Mer is appearing in shortlists but capturing the top spot less often.

La Mer holds the highest raw mention presence in the category yet converts that visibility into valid recommendation coverage at a lower rate than Augustinus Bader. The gap between being discussed and being recommended is the key dynamic for this brand.

Highest-priority diagnostic: Which competitor is capturing the rank-one recommendation when La Mer loses it, and in which prompt contexts does La Mer appear without being recommended?

Buyer-Intent Interpretation

In September 2026, all 576 qualified observations fell into the Brand Recommendation cluster. The benchmark found no qualified observations in the Pricing & Value or Multi-Brand Comparison clusters, meaning the public metrics cannot yet answer questions about how AI systems position luxury skin care brands on price, value, or direct head-to-head comparison. The recommendation dynamics captured this month are therefore about brand preference and default answers, not about commercial trade-offs.

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 (query, surface, recommendation outcome, rank, sentiment, and citations where exposed). Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns. Source presence is not automatically treated as proof of causation.

About This Benchmark

This report is part of the LLM Authority Index AI Market Discovery research program.

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

Report-Specific Interpretation Notes

• Small-count movement: brands such as Tata Harper (19 valid recommendations) and Guerlain (29) require caution when interpreting percentage changes, as small absolute shifts can produce larger rate movements.
• Qualified denominator: all percentages are calculated within the qualified benchmark set of 576 observations in September 2026, not the 800 raw prompts 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.

Beneath the aggregate percentages sit questions the benchmark surfaces but cannot answer alone: which high-intent prompts are won, which competitor takes the recommendation when a brand loses, what attributes AI systems associate with each luxury skin care brand, and which external sources are shaping those answers. Understanding these patterns is the difference between knowing that coverage moved and knowing why it moved.

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

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