Kiehl’s Appears in 48.2% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Mark HuntleyBy Mark HuntleyFounder and CEO
9 minutes read

Key Takeaways

  • Kiehl’s is mentioned in 48.24% of benchmark answers, but only 24.24% recommend it, showing a clear gap between visibility and endorsement.
  • The main fact issue is a high-priority pricing conflict for Ultra Facial Cream, which should be verified against primary sources before any page changes.
  • The men’s bestsellers page is the strongest company page in the citation set and should be the first internal page reviewed.
  • Buyer questions cluster around men’s skincare and moisturizers, suggesting content briefs should focus on those topics and use approved product facts.

Answer Capsule

In November 2026, Kiehl’s appeared in 205 of 425 AI answers included in the Body Care Brands benchmark (48.24%). It received 103 recommendations (24.24%), with 67 Top 3 placements and 10 first-place recommendations. A mention means the company appeared in an answer; a recommendation means the answer affirmatively endorsed it.

Our plan compares the company with its competitors, checks conflicting AI claims against reliable sources, and identifies website pages, third-party sources and buyer questions to address. The historical results show how the figures changed across available months. Different monthly samples limit those comparisons, and conflicting AI claims require verification before corrections are proposed.

Current AI visibility

Questions This Section Answers

  • How do Kiehl’s mentions, recommendations and placements compare with its Body Care Brands peers?

Kiehl’s recorded 205 mentions (48.24%) and 103 recommendations (24.24%) across 425 answers included in the benchmark. Top 3 placements numbered 67; first-place recommendations numbered 10. Framing among its mentions was 110 positive, 86 neutral and 9 negative.

Rank

Company

Mentions

Mention rate

Recommendations

Recommendation rate

Top 3

Top 3 rate

#1

#1 rate

1

CeraVe

417

98.12%

271

63.76%

214

50.35%

162

38.12%

2

Neutrogena

381

89.65%

220

51.76%

146

34.35%

34

8.00%

3

Cetaphil

339

79.76%

206

48.47%

133

31.29%

34

8.00%

4

Kiehl’s

205

48.24%

103

24.24%

67

15.76%

10

2.35%

5

Sun Bum

22

5.18%

8

1.88%

5

1.18%

3

0.71%

6

Origins

32

7.53%

6

1.41%

3

0.71%

2

0.47%

7

Billie

3

0.71%

3

0.71%

2

0.47%

1

0.24%

8

Kopari Beauty

1

0.24%

1

0.24%

0

0.00%

0

0.00%

Kiehl’s appears in roughly half of the answers in this benchmark, so the brand is part of the conversation rather than absent from it. The gap sits in endorsement: recommendations are far fewer than mentions, and first-place finishes are a small slice of those recommendations. Reach and standing are separate problems here.

For the agency, that means the work should not chase raw mentions. The useful question is why answers that name Kiehl’s stop short of endorsing it, and which product stories could earn affirmative wording. A scorecard that tracks mentions, recommendations and placement separately would keep those distinctions visible.

What changed since last month

Questions This Section Answers

  • How did Kiehl’s counts and coverage differ across the available monthly snapshots?

Metric

Jul 2026

Aug 2026

Sep 2026

Oct 2026

Nov 2026

Mentions

353 / 623 (56.66%)

319 / 634 (50.32%)

229 / 518 (44.21%)

194 / 526 (36.88%)

205 / 425 (48.24%)

Recommendations

322 / 623 (51.69%)

284 / 634 (44.79%)

202 / 518 (39.00%)

177 / 526 (33.65%)

103 / 425 (24.24%)

Top 3 recommendations

180 / 623 (28.89%)

198 / 634 (31.23%)

108 / 518 (20.85%)

117 / 526 (22.24%)

67 / 425 (15.76%)

#1 recommendations

14 / 623 (2.25%)

21 / 634 (3.31%)

12 / 518 (2.32%)

15 / 526 (2.85%)

10 / 425 (2.35%)

From October 2026 to November 2026, Kiehl’s' mention count rose from 194 to 205, while its recommendation count fell from 177 to 103. The recommendation rate was 33.65% and 24.24% respectively.

Across the recent months, mentions and recommendations moved in different directions. In the latest month the mention count rose while the recommendation count fell, so the two measures no longer travel together. The earlier months show their own separate movements rather than a single steady trend.

Because each month is its own selected sample, the change in answer totals is a comparability limit, not an explanation. We would present the monthly record as observed movement and avoid attributing the shift to any cause until the underlying answers are reviewed.

AI recommendation trend

Observed recommendation rate (%), Jul 2026 to Nov 2026

0%15%30%45%60%Jul 2026Aug 2026Sep 2026Oct 2026Nov 202651.69%Jul 2026: 51.69%44.79%Aug 2026: 44.79%39.00%Sep 2026: 39.00%33.65%Oct 2026: 33.65%24.24%Nov 2026: 24.24%
  • Kiehl’s24.24%

Separate selected monthly samples. Missing points are unavailable, not zero. Provider/prompt equivalence is unverified; rate movement does not demonstrate causation.

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Step 1. Measure

Questions This Section Answers

  • What should the agency measure and verify first for Kiehl’s?

AI answers contained 1 conflicting claim about Kiehl’s: 0 critical, 1 high, 0 medium, 0 low. Of these, 1 was rated critical or high priority; the critical claims are included in that total. These ratings help prioritize fact-checking. They do not establish that a company or publisher made an error.

The benchmark surfaced one conflicting claim about Kiehl’s, rated high priority, and it concerns the price of Ultra Facial Cream. That is a narrow but useful starting point: a single disputed figure can shape how answers describe a product, and it is worth resolving before broader work.

We would build a visibility comparison that sets Kiehl’s against the leading brands on mentions, recommendations and placement, then pair it with a short list of claims to fact-check. Each claim gets an owner and a verification requirement, so the client can see what needs checking first.

Step 2. Make the website consistent

Questions This Section Answers

  • Which recorded claim differences about Kiehl’s should be verified before proposed page edits?

Review topic

Severity

Recorded AI claim A

Recorded AI claim B

Ultra Facial Cream price

high

$39.00

$115.00

Both columns quote AI answers, not verified company facts. Resolve the entity, date and source before deciding whether a correction is warranted; different dates can explain an apparent conflict.

The disputed price claim should be treated as a question to verify, not a conclusion. The two recorded figures may reflect different products, sizes, dates or sources, and the entity and timing need to be settled before anyone decides whether a correction is warranted.

We would propose a fact-check of the current Ultra Facial Cream pricing on the company’s own pages, then a conditional page brief only if the verified facts differ from what answers say. If the figures turn out to be legitimately different, the brief becomes a clarity note rather than a correction.

Step 3. Align the external narrative

Questions This Section Answers

  • Which cited third-party pages are relevant to fact review for Kiehl’s?

Cited page selected for review

Citation appearances in all captured answers

Answers mentioning the company

Conflicting claims linked to this page

https://byrdie.com/the-best-facial-moisturizers-346719

27

11

1

https://lionpose.com/blogs/dermatologists/best-face-moisturizers-for-deep-skin-hydration-in-2026

13

5

1

https://vogue.co.uk/gallery/best-mens-skincare-skin-care-clinique-kiehls-aveda

4

2

0

https://menshealth.com/grooming/g43906897/best-kiehls-products/

2

1

0

https://daniellesbeautyblog.com/2026/07/skincare-is-kiehls-worth-it-my-honest.html

1

1

0

https://icgi.org/do-dermatologists-recommend-kiehls/

1

1

0

These pages were selected because they relate to the company in the captured answers. Their current contents still need checking before any correction request. A page linked to a conflicting claim is not necessarily its cause, and the same answer may contribute to more than one row.

Several third-party pages were selected because they relate to Kiehl’s in the captured answers, including a Byrdie moisturizer roundup and a Lion Pose article on deep-skin hydration. Both are linked to the conflicting claim, but a link is not proof of cause, and the pages’ current contents still need checking.

We would review those pages against primary sources first, then decide whether an evidence-backed request to the publisher is justified. Pages with no linked conflict, such as the men’s skincare gallery and the Kiehl’s product roundup, are lower priority for outreach.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed Kiehl’s website pages should receive review briefs?

Company website page

Citation appearances in all captured answers

Benchmark answers citing the page

Recommending answers citing the page

https://kiehls.com/mens/mens-bestsellers/

22

18

10

https://kiehls.com/heritage.html

2

0

0

https://kiehls.com/skincare/face-cleansers-scrubs/ultra-facial-oil-free-cleanser/1000.html

2

2

0

https://kiehls.com/about-us/

1

0

0

https://kiehls.com/mens/mens-cleansers/facial-fuel-energizing-face-wash/616.html

1

0

0

https://kiehls.com/mens/mens-moisturizers/facial-fuel-daily-energizing-moisture-treatment-for-men/3605970407964.html

1

0

0

https://kiehls.com/mens/mens-moisturizers/facial-fuel-daily-energizing-moisture-treatment-for-men/3700194719104.html

1

0

0

https://kiehls.com/mens/mens-moisturizers/facial-fuel-daily-energizing-moisture-treatment-for-men/555.html

1

0

0

The company's website was cited 52 times across 29 distinct page addresses; the table shows 8 pages selected for review. Zeros in the answer columns mean no matching answers were recorded. A cited page is not automatically a page that accompanied a recommendation.

The men’s bestsellers page is the clear standout among the company pages selected, appearing in benchmark answers and in recommending answers alike. Most other listed pages show little or no matching answer activity, which suggests the review should concentrate where citations already cluster.

We would draft page briefs for the priority pages using approved facts and the buyer questions observed in the research. The briefs would state what the page should make easy to confirm, without assuming what the page currently says. Pages with no recorded citations stay out of the first wave.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for Kiehl’s?

Question observed in the research

Benchmark answers to this question

Company mentions

Company recommendations

What is the best moisturizer for your face, men?

2

2

2

What is the best skin care for men?

2

2

2

What is the best skin moisturiser for men?

2

2

2

Which brand face wash is best for men?

2

2

1

Do Kiehl's products work?

1

1

1

What are the best skin care products for dry skin?

1

1

1

What are the top 10 moisturizers?

1

1

1

What are the top 10 skincare brands?

2

1

1

These are recorded answer observations, not search volume, verified demand, or proof of missing website content.

The recorded questions cluster around men’s skincare and moisturizer choices, with a few broader questions about brand quality and dry skin. Kiehl’s is mentioned in most of these answers, but recommendations are thinner, especially on the face-wash question.

We would check existing coverage before proposing anything new, then write buyer-question briefs that answer these questions directly with approved product facts. The aim is content that gives an answer a reason to endorse, not just mention, the brand.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed Kiehl’s work and judge completion?

Period

Deliverable

Completion criterion

Days 1–30

Baseline scorecard, scoped fact-review register and page/source shortlist

Each record has an owner, evidence requirement and review status

Days 31–60

Approved page briefs and justified publisher requests

Separate confirmed edits, no-change decisions, requests and responses

Days 61–90

Buyer-content briefs and a fresh scorecard

Record work completed separately from measured answer outcomes and comparability limits

The first month produces a baseline scorecard, a scoped fact-review register and a shortlist of pages and sources, each with an owner and review status. The second month turns verified findings into approved page briefs and justified publisher requests, with confirmed edits, no-change decisions and responses recorded separately.

The final month delivers buyer-content briefs and a fresh scorecard. Completed work is reported apart from measured answer outcomes, and the comparability limits of each monthly sample stay attached to any comparison.

Methodology

Questions This Section Answers

  • How are Kiehl’s answer metrics and citation populations defined?

This report covers 2026-11. The exact dates when the original AI answers were collected have not been verified. The visibility rates use 425 answers that met the benchmark's inclusion rules. A company is recommended only when the answer both endorses it and uses positive wording. Top 3 and first-place counts are part of those recommendations, not extra recommendations.

An answer can mention or recommend several companies, so company counts cannot be added to find the number of distinct answers. The net sentiment score is positive minus negative mentions, divided by all company mentions; it describes answer wording, not customer satisfaction.

The wider citation analysis covers 800 captured answers and 5445 appearances of cited URLs. Citation appearances across all captured answers differ from the number of benchmark answers citing a page and the number that also recommend a company. The current contents of cited pages and disputed company claims still need independent verification.

Monthly sample coverage:

Reporting month

Answers included

AI services covered

Services

Jul 2026

623

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

Aug 2026

634

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

Sep 2026

518

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

Oct 2026

526

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

Nov 2026

425

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

The answer samples differ between months. These comparisons show how the recorded results changed; they do not establish why they changed.

The answers were collected under the benchmark’s inclusion rules, and the exact collection dates have not been verified. A company counts as recommended only when an answer endorses it with positive wording; placement counts sit inside recommendations rather than adding to them. Answers can cover several companies, so company counts do not sum to a number of answers.

Monthly samples differ, so comparisons describe recorded movement without establishing why it occurred. Cited pages and disputed claims still require independent verification.

Our first three priorities

First, verify the Ultra Facial Cream price conflict against current primary sources and record the outcome, whether that is a confirmed correction, a clarification or no change. Second, concentrate page work on the men’s bestsellers page, where citations already cluster, and draft a brief grounded in approved facts.

Third, prepare buyer-question content around men’s moisturizer and skincare choices, checking existing coverage first. Publisher outreach follows only where verification supports it. These steps give the client a defensible base before any claim of improved visibility is made.

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Understanding AI search visibility.

AI search experiences create answers by pulling information from many places online and summarizing it into a single response.

What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
What Is Citation Architecture?
Citation architecture describes the set of sources that consistently inform how AI systems talk about a brand, product, or topic. LLMs draw from websites, articles, forums, and public discussion, and the sources they rely on most often become the backbone of their answers. Building strong citation architecture means ensuring that accurate, credible, high authority sources are the ones most likely to shape the way AI tools summarize and recommend a brand.
What Is Generative Engine Optimization?
Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
What Is AI Share of Voice?
AI share of voice tracks how often a brand appears in AI-generated answers compared with competitors in the same category. It reflects visibility across AI platforms such as ChatGPT, Gemini, Claude, and Perplexity. Monitoring AI share of voice helps organizations see whether AI systems consistently include and recommend their brand for key queries or whether competitor brands are showing up more often.

About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

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