How AI Search Is Recommending Prestige Makeup Brands: Monthly Trends

Executive Summary

Charlotte Tilbury remains the category leader by valid recommendation coverage in October 2026, and its position strengthened materially. The benchmark shows Charlotte Tilbury at 56.6% coverage in October 2026, up 9.8 points from September 2026 and 5.0 points above its August 2026 baseline of 51.6%. The gap to the second-place brand widened to 16.7 points over Armani Beauty at 39.9%, after the leader's lead had compressed to 10.7 points in September 2026.

The largest upward moves this month were recorded by Charlotte Tilbury (up 9.8 points from September 2026) and Dior Beauty (up 9.8 points from September 2026 to 38.3%), both flagged as significant versus the prior month. On the baseline-to-current view, Charlotte Tilbury added 5.0 points, Dior Beauty added 5.1 points, and NARS Cosmetics recovered 6.2 points from September 2026 to 29.2%, a significant prior-month gain that does not register as significant across the full series. Armani Beauty holds the strongest rank-one position in the category at 17.2%, up 5.0 points from August 2026, and leads top-three recommendations at 27.4%.

The sharpest decline is a naming-identity divergence rather than a single-brand coverage loss. The label Guerlain fell from 5.7% coverage in September 2026 to zero in October 2026, a two-month significant decline, while the label guerlain appears at 9.2% coverage in October 2026 after registering zero in both August and September 2026. The benchmark records both as separate tracked entries, and how that split resolves will determine where Guerlain's actual recommendation credit sits.

Against the prior month, the category shifted upward: ten of eleven tracked entries gained coverage from September to October 2026, and the qualified observation count was essentially flat at 627 versus 631. Across the full series, Charlotte Tilbury's leadership is the only constant, while the middle of the field compressed and re-expanded around it.

Each monthly run begins with 800 prompt-surface observations (642 unique questions in August 2026, 622 in September 2026, and 630 in October 2026) across the benchmark's defined AI/search surface universe. Of those, 800 in each month mentioned a tracked brand or competitor; 732 were relevant and 68 were irrelevant in August 2026, 715 were relevant and 85 were irrelevant in September 2026, and 721 were relevant and 79 were irrelevant in October 2026. The public metrics use the 675 qualified observations in August 2026, the 631 qualified observations in September 2026, and the 627 qualified observations in October 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.

The September 2026 qualified set held at 631 observations, so the baseline-to-current contraction of 48 observations was distributed across two months rather than concentrated in one. These qualification stages define the denominator used for every brand-level percentage in this report; only the qualified observations are counted toward presence, coverage, placement, and sentiment metrics below.

Benchmark-Level Metrics

The interim month matters for interpretation. Recommendation-shaped answer share moved from 40.9% in August 2026 to 47.5% in September 2026 and then to 58.4% in October 2026, so the increase compounded across both months rather than arriving at once.

AI Recommendation Trend

Questions This Section Answers

• Which prestige makeup brands lead by valid recommendation coverage, and how far has Charlotte Tilbury widened the gap?
• Which labels moved beyond normal month-to-month variation across the series?

Leadership held and widened: Charlotte Tilbury extended its coverage lead while the category's recommendation layer concentrated.

Two entries moved beyond normal month-to-month variation across the full series: the label Guerlain declined 6.8 points and the label guerlain rose 9.2 points, both against an August 2026 baseline. Every other brand's baseline-to-current movement fell within normal variation, so the category-level change came from the combination of several smaller upward movements, with Charlotte Tilbury's and Dior Beauty's significant prior-month gains the largest single contributions.

What Changed This Month

Questions This Section Answers

• What drove Charlotte Tilbury's significant prior-month coverage gain despite flat mention presence?
• How did Dior Beauty convert a weaker presence base into a 9.8-point coverage increase, and where did rank-one soften?
• How does the Guerlain naming split shift recorded recommendation credit between the two tracked entries?

Charlotte Tilbury: A Significant Gain on an Already Dominant Position

Charlotte Tilbury's valid recommendation coverage rose 9.8 points to 56.6% in October 2026 (355 of 627 qualified observations) from 46.8% in September 2026 (295 of 631), and sits 5.0 points above its August 2026 baseline of 51.6%. The prior-month move exceeds the brand's significance threshold; the baseline-to-current move does not.

Raw mention presence was essentially unchanged, easing 1.4 points to 70.0% in October 2026 from 71.4% in August 2026. Placement tightened instead: its top-three rate rose 5.8 points to 33.7% (211 observations) from 27.9% in August 2026, while its rank-one rate held flat at 9.7% (61 observations) versus 9.9%.

The distinction to notice is that Charlotte Tilbury is being mentioned at the same breadth while converting a larger share of those mentions into recommendation placements. It remains the most widely mentioned brand in the category and the leader on coverage and top-three placement, with net sentiment among mentions at 0.8.

Highest-priority diagnostic: Which answer formats and surface families absorbed the incremental top-three placements, and did they come at the expense of a specific peer?

Dior Beauty: A Prior-Month Gain Against a Softer Presence Base

Dior Beauty's valid recommendation coverage rose 9.8 points to 38.3% in October 2026 (240 of 627 observations) from 28.5% in September 2026 (180 of 631), and is 5.1 points above its August 2026 baseline of 33.2%. The gain against the prior month is significant; the baseline-to-current move is not.

Raw mention presence weakened over the same arc, falling 6.0 points to 53.9% in October 2026 from 59.9% in August 2026. Top-three placement improved 4.3 points to 21.9% (137 observations) from 17.6%. Rank-one rate slipped 2.1 points to 6.9% (43 observations) from 9.0%.

The distinction to notice is that Dior Beauty is converting a narrower presence base into more recommendations, but the top slot is not where the conversion is landing. Net sentiment among mentions improved to 0.8 from 0.7.

Highest-priority diagnostic: Which prompts stopped surfacing Dior Beauty, and which surface families account for the rank-one softening?

Guerlain and guerlain: A Naming Split That Moves Recommendation Credit

The label Guerlain held 5.7% valid recommendation coverage in September 2026 (36 of 631 observations) and now registers 0.0% in October 2026, a decline of 5.7 points against the prior month and 6.8 points against its August 2026 baseline of 6.8%. Both moves are significant, making this a two-month significant decline. The label guerlain registers 0.0% in both August and September 2026 and appears at 9.2% in October 2026 (58 of 627 observations), a 9.2-point significant gain.

Supporting figures follow the same split. The label guerlain shows 17.1% raw mention presence, 4.2% top-three rate with 26 observations, and a 1.0% rank-one rate with 6 observations in October 2026. The label Guerlain shows no current presence or placement figures.

The distinction to notice is that the two labels are tracked as separate entries, so the category-level comparison is between a dormant entry and a newly active one, not a single brand's swing from loss to gain. The benchmark also records the gap between the two labels as the widest divergence in the series, widening by 16.0 points and widening in every month of the series.

Highest-priority diagnostic: How is the vertical's tracked brand identity being resolved across the benchmark, and where does recorded recommendation credit for this house actually sit?

Armani Beauty: Rank-One Strength Ahead of Coverage

Armani Beauty added 2.0 points of valid recommendation coverage to reach 39.9% in October 2026 (250 of 627 observations) from 37.9% in August 2026 (256 of 675). The baseline-to-current move is within normal variation; the 3.8-point gain from September 2026 is the brand's largest single-month move in the series.

Raw mention presence slipped 3.5 points to 52.8% in October 2026 from 56.3% in August 2026. Rank-one rate rose 5.0 points to 17.2% (108 observations) from 12.2%, the highest rank-one rate in the category. Top-three rate rose 2.4 points to 27.4% (172 observations).

The distinction to notice is that Armani Beauty converts fewer mentions into a higher share of leading placements, and the highest rank-one rate in the category does not translate into the highest coverage rate. Net sentiment among mentions was 0.8, unchanged from baseline.

Highest-priority diagnostic: Are the rank-one gains concentrated in particular prompt types and surface families, and is that concentration durable?

Buyer-Intent Interpretation

Questions This Section Answers

• Which buyer-intent clusters were captured in the qualified observations, and what can the benchmark describe as a result?
• What does the empty Pricing & Value and Multi-Brand Comparison clusters mean for interpreting these brand recommendation percentages?

In October 2026, all 627 qualified observations fell into the Brand Recommendation cluster, with none captured in the Pricing & Value or Multi-Brand Comparison clusters. Within that cluster, recommendation-shaped answers rose to 58.4% of observations from 40.9% in August 2026. The public benchmark can describe who AI names when a buyer asks for the best prestige makeup option, and cannot yet describe how AI positions these brands on price, value, or direct head-to-head comparison, because those clusters are empty in the qualified set.

Brand Opportunity Summary

Questions This Section Answers

• Which brand should investigate what this month, and which diagnostic matters most for each?

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 capturing the query, the AI surface used, the recommendation outcome, the rank of each mentioned brand, the sentiment expressed, and citations where exposed. Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns to explain the movements this benchmark identifies. Source presence is not automatically treated as proof of causation.

About This Benchmark

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

• AI Visibility Industry Market
• AI Visibility Industry Market Methodology
• AI Visibility Industry Market Metrics
• AI Visibility Industry Market Standards

Report-Specific Interpretation Notes

• The qualified benchmark set (627 observations in October 2026) is smaller than the raw collection universe (800 prompts) because only prompts passing relevance and eligibility stages count toward brand-level percentages.
• Several brands operate on small absolute counts in this category; the label guerlain's 9.2% coverage rests on 58 valid recommendations and its 1.0% rank-one rate on 6 observations, and Gucci Beauty's 6.5% coverage rests on 41 valid recommendations. Small-count movement should be read alongside the counts, not the percentage alone.
• The Guerlain and guerlain entries are tracked separately in this benchmark. The movement this month is driven by the split rather than by a single branded coverage swing, and the widening gap between the two entries has widened in every month of the series.
• Directional analysis identifies where AI recommendation patterns shifted; it does not establish why those shifts occurred. Month-over-month movement warrants investigation, not conclusion.

Next Step

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

Beneath the aggregate percentage sits a more actionable set of questions: which high-intent prompts a brand wins, which competitor takes the recommendation when a brand loses, what attributes AI associates with each option, and which external sources shape those answers. For Charlotte Tilbury's top-three gains, Dior Beauty's softer presence base, or the Guerlain naming split, the public benchmark identifies the movement; only prompt-level examination can show which surface, which competitor, and which evidence source produced it.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. Where the benchmark shows movement, the audit reveals the mechanism.

Request an AI visibility audit