How AI Search Is Recommending Body Care Brands: Monthly Trends

Executive Summary

CeraVe remains the category leader in AI-driven body care recommendations, holding 91.1% valid recommendation coverage in October 2026. The gap to second-place Neutrogena (81.4%) stands at 9.7 points, a lead that has held across every month of the series. This is the fourth consecutive month CeraVe has led on coverage, and the category's leadership picture is unchanged from the baseline.

The most notable shift this month was in placement quality rather than coverage. CeraVe's top-three rate climbed from 65.8% in July 2026 to 82.7% in October 2026, a 16.9-point gain, and its rank-one rate rose from 44.5% to 53.6% over the same window. Neutrogena showed a similar pattern from a lower base: top-three prominence rose from 42.4% in July to 56.6% in October, a 14.2-point gain. No brand posted a significant rise in coverage this month; the category's movement in placement metrics stands apart from the stability seen in coverage rates.

The sharpest decline continues to belong to Kiehl's. Valid recommendation coverage fell from 51.7% in July 2026 to 33.7% in October 2026, an 18.0-point drop that is significant and marks the third consecutive month of decline. Kiehl's holds fourth place, but the accumulated fall across the series is the largest single-brand movement in the benchmark.

Against the prior month, September 2026, most brands moved within normal variation. CeraVe rose 3.6 points (September to October) and Neutrogena rose 1.7 points, both within expected bounds. The category was stable month to month; the material story is the multi-month widening between CeraVe and Kiehl's, which has increased in every month of the series.

Each monthly run begins with 800 prompt-surface observations (660 unique questions in July 2026, 704 in October 2026) across the benchmark's defined AI/search surface universe. Of those, 800 mentioned a tracked brand or competitor; 665 were relevant and 135 were irrelevant in July 2026, versus 601 relevant and 199 irrelevant in October 2026. The public metrics use the 623 qualified observations in July 2026 and the 526 qualified observations in October 2026 that survived both qualification stages. The smaller October denominator follows a larger irrelevant-prompt filter across the series.

Key Findings

AI Response Inconsistency Alerts

Questions This Section Answers

• Which body care product attribute did AI platforms disagree on, and how large was the factual conflict?
• Which platforms and source pages sat on each side of the conflicting SPF claim?

The benchmark detected one critical or high-severity factual inconsistency across two AI platforms this month, involving one tracked company.

CeraVe

AI platforms provided conflicting information about the sun protection level of the CeraVe AM Facial Moisturizing Lotion. When asked "What is a good SPF moisturiser?", ChatGPT stated that the product is the CeraVe AM Facial Moisturizing Lotion SPF 50, while Copilot stated it is the CeraVe AM Facial Moisturizing Lotion SPF 30. The same product cannot carry both SPF 50 and SPF 30 as its labeled protection level. This is a high-severity factual conflict, and ChatGPT's response cited the brand's own product page alongside Allure and NBC News Select, while Copilot's response referenced Fenty Beauty, Olay, and Fre source pages. Separate source pages were flagged on both sides of the conflict, including a Harper's Bazaar page and a skincare blog carrying the SPF 30 designation, and the CeraVe product page carrying the SPF 50 designation. Responses differed on a single product attribute within a question that was not brand-specific, which is the pattern most likely to confuse a buyer comparing options.

Benchmark Context

Questions This Section Answers

• How many observations survived qualification in October 2026, and why did the qualified denominator shrink from July?
• What benchmark-level metrics moved alongside the contracting qualified set?

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

The intermediate months saw 634 qualified observations in August 2026 and 518 in September 2026. The qualified denominator contracted from July to October, driven by a rising irrelevant-prompt filter rather than a reduction in collection size.

Benchmark-Level Metrics

The valid recommendation shortlist share rose across the series even as the qualified denominator contracted, meaning a larger proportion of qualified answers took a recommendation-shaped form in October 2026. The August 2026 and September 2026 intermediate months sat between these two endpoints on shortlist share.

AI Recommendation Trend

Questions This Section Answers

• Which body care brands hold the top three recommendation coverage positions in October 2026?
• Which brand moved beyond normal variation across the July-to-October window, and in which direction?

A Stable Leader With a Widening Gap Behind It

Only Kiehl's moved beyond normal month-to-month variation across the July-to-October window. Every other brand's coverage change sits within its expected band, and the category-level picture is best read as the combination of several small movements rather than one decisive shift.

What Changed This Month

Questions This Section Answers

• Why is Kiehl's 18.0-point coverage decline the benchmark's largest movement, and did its rank-one rate fall too?
• Where did CeraVe's placement quality improve even though its coverage barely moved?
• What does Neutrogena's combination of lower presence and higher top-three rate suggest about its position?

Kiehl's

Kiehl's fell from 51.7% valid recommendation coverage in July 2026 to 33.7% in October 2026, an 18.0-point decline that is significant and the largest in the benchmark. The prior-to-current move from September 2026 was 5.3 points down, which is a smaller step than the earlier months but continues a decline now running three consecutive months. The brand remains in fourth place.

Raw mention presence fell in parallel, from 56.7% in July 2026 to 36.9% in October 2026, a 19.8-point drop. The coverage loss tracks a broader reduction in how often Kiehl's appears in AI-generated answers at all. Top-three rate fell from 28.9% to 22.2% over the same window, a 6.7-point decline. Kiehl's held 177 valid recommendations in October 2026, down from 322 in July 2026.

The distinction worth noting is that Kiehl's rank-one rate actually rose slightly, from 2.2% in July 2026 to 2.9% in October 2026, a 0.7-point difference. The brand is appearing in far fewer answers, but in the answers where it does appear its top position is marginally more frequent. Visibility and recommendation strength are separate signals here, and the loss is concentrated in presence rather than in the top slot.

Highest-priority diagnostic: Which prompt categories that previously surfaced Kiehl's no longer include it, and which brand is capturing those recommendation slots?

CeraVe

CeraVe held 91.1% valid recommendation coverage in October 2026, up 0.3 points from 90.8% in July 2026, a move within normal variation. The prior-to-current move from September 2026 was 3.6 points up, also within normal variation. Leadership is unchanged.

Placement quality is where the movement is. Top-three rate rose from 65.8% in July 2026 to 82.7% in October 2026, a 16.9-point gain, and rank-one rate rose from 44.5% to 53.6%, a 9.1-point gain. Raw mention presence eased slightly from 97.4% to 96.0% over the same window, a 1.4-point difference. CeraVe held 479 valid recommendations in October 2026.

The distinction is between presence and prominence. CeraVe is appearing in very slightly fewer answers than in July 2026, but when it appears, it is placed at the top of the list more often. That is a different competitive position from rising coverage, and it sits alongside the SPF inconsistency flagged above, which shows the product-level facts underlying those recommendations are not always consistent across platforms.

Highest-priority diagnostic: Which surfaces drove the top-three and rank-one gains, and do the product-attribute conflicts identified above sit inside those same high-placement prompts?

Neutrogena

Neutrogena holds second place at 81.4% valid recommendation coverage in October 2026, down 3.2 points from 84.6% in July 2026, a move within normal variation. The prior-to-current move from September 2026 was 1.7 points up, also within normal variation.

Placement quality improved. Top-three rate rose from 42.4% in July 2026 to 56.6% in October 2026, a 14.2-point gain. Rank-one rate held essentially flat, from 8.7% to 8.4%, a 0.3-point difference. Raw mention presence fell from 91.6% to 88.0%, a 3.6-point decline. Neutrogena held 428 valid recommendations in October 2026.

The distinction is that Neutrogena's coverage and presence both eased while its positioning within answers strengthened. The brand is named in fewer answers than in July 2026, but its top-three share climbed materially. Small changes in presence carry more weight for a brand at this coverage level than for one in the low single digits.

Highest-priority diagnostic: Which prompt categories account for the presence decline, and is the top-three gain concentrated in a narrower set of answers?

Cetaphil, Origins, Sun Bum, and the Small-Count Brands

Cetaphil held 72.0% coverage in October 2026, down 1.2 points from 73.2% in July 2026, within normal variation. Its top-three rate rose from 46.9% to 55.7%, an 8.8-point gain, on 379 valid recommendations. Cetaphil's presence slipped while its placement improved, the same pattern seen in the two brands above it.

Origins held 2.9% coverage, down 1.3 points from July 2026, on 15 valid recommendations. Sun Bum held 4.8% coverage, flat against July 2026, on 25 valid recommendations, and its current streak is two consecutive months of upward movement within normal variation. Billie recorded zero valid recommendations in October 2026, down from 0.2% coverage in September 2026, a 0.2-point move that is not significant but returns the brand to zero after a single appearance. Kopari Beauty held 0.4% coverage on 2 valid recommendations.

For Origins, Sun Bum, Billie, and Kopari Beauty the absolute counts are small enough that a change of a few points can represent only a handful of answers; the percentages should be read with that context in mind.

Highest-priority diagnostic: For each small-count brand, which specific prompts produce the recommendations they do receive, and does the pattern hold across surfaces?

Buyer-Intent Interpretation

Questions This Section Answers

• Which buyer-intent clusters appeared in the October 2026 qualified set, and which remained empty?
• What commercial questions about pricing and brand comparison can the current benchmark not answer?

In October 2026, all 526 qualified observations fell into the Brand Recommendation cluster. The benchmark surfaced no qualified observations for pricing, value, or head-to-head comparison questions in July, August, September, or October 2026. The public benchmark therefore cannot yet answer which brand AI positions as the value option, the premium option, or the winner of a direct brand comparison. Those commercial questions remain open and require prompt coverage that the current qualified set does not contain.

Brand Opportunity Summary

Questions This Section Answers

• Which body care brand shows the largest coverage loss, and which diagnostic should be investigated first?
• What does the table flag as the highest-priority diagnostic for each brand in the benchmark?

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 Visibility Market Discovery research program.

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

Report-Specific Interpretation Notes

• Small-count movement: Brands including Billie, Kopari Beauty, Origins, and Sun Bum carry small absolute counts. Their percentage movements should be read with that context; a change of a few points can represent only a handful of answers.
• Qualified denominator versus raw collection: Percentages are calculated within the qualified benchmark set (526 observations in October 2026), not the raw collection of 800 prompts. The qualified denominator contracted from 623 in July 2026 as more prompts were filtered as irrelevant, which affects brand-level percentages.
• Directional analysis: Month-over-month movement identifies changes worth investigating, but it does not by itself establish the cause of those changes. A brand appearing more or less often in AI answers can reflect shifts in the underlying evidence sources, model behavior, or prompt mix.

Next Step

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

The aggregate percentages above raise questions that the benchmark alone cannot answer. Which high-intent prompts does a brand win, and which does it lose? When a brand is not recommended first, which competitor takes the top slot? What attributes do AI systems associate with each option, and which external sources are shaping those answers?

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 a signal, the audit shows the cause and the path to change.

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