Kosas AI Visibility Market Strategy Report - Clean Makeup Brands

Mark HuntleyBy Mark HuntleyFounder and CEO
12 minutes read

Key Takeaways

  • Kosas appears in 38.82% of qualified responses but converts that presence into valid recommendations only 33.71% of the time.
  • The brand’s strongest platform signals are Perplexity and Google AI Overviews, where recommendation coverage and top-three placement are higher.
  • Kosas has positive framing overall, with 218 positive mentions, 25 neutral mentions, and no negative mentions.
  • The main gap is recommendation placement: Kosas reaches the top three in 15.81% of observations, well behind the category leaders.

Answer Capsule

Kosas holds 33.71% valid recommendation coverage in the clean makeup category for October 2026, placing it fifth among ten tracked brands. The brand is visible but under-recommended relative to its presence: it appears in 38.82% of qualified AI responses but converts that presence into a valid recommendation shortlist position only 33.71% of the time. Its clearest win is a strong rank-one rate of 2.72% and a net sentiment score of 0.8971, indicating positive framing when mentioned. Its clearest weakness is a top-three recommendation rate of 15.81%, well behind category leaders e.l.f. Cosmetics at 34.19% and Rare Beauty at 29.39%. The biggest opportunity lies in converting existing presence into higher placement within the Brand Recommendation cluster, where all qualified observations in this benchmark are concentrated.

Who This Report Is For

This report is for Kosas marketing leadership, brand strategists, and ecommerce teams evaluating how the brand appears in AI-generated recommendations across major platforms. It is also relevant for agencies and partners supporting Kosas in AI visibility, content strategy, or competitive positioning within the clean beauty category.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

Kosas

Category / market studied

Clean Makeup Brands

Reporting month

October 2026

AI platforms tracked

6 (ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, AI Mode)

Public high-intent clusters

1

AI observations analyzed

626

Competitors tracked

9

Executive Summary

Kosas occupies a middle-tier position in the clean makeup AI recommendation landscape. The brand recorded 211 valid recommendations across 626 qualified observations in October 2026, translating to 33.71% valid recommendation coverage. This places Kosas fifth among ten tracked brands, behind e.l.f. Cosmetics (56.71%), Rare Beauty (51.60%), Tower 28 (40.89%), and ILIA Beauty (35.30%), but ahead of Milk Makeup (28.27%), Thrive Causemetics (18.21%), Glossier (16.93%), Tarte Cosmetics (11.34%), and Beautycounter (3.51%).

The brand's raw mention presence rate of 38.82% indicates that Kosas appears in AI responses more often than its recommendation coverage suggests. This gap between presence and recommendation conversion is a defining characteristic of Kosas's current position. The brand is being mentioned, but it is not consistently being shortlisted or recommended at the same rate.

Kosas recorded 218 positive mentions, 25 neutral mentions, and zero negative mentions in October 2026. The net sentiment score of 0.8971 reflects strong positive framing when the brand is mentioned. This is a meaningful asset: AI systems are not surfacing Kosas in a cautionary or negative context.

The strongest platform signal for Kosas is Google AI Overviews, where the brand achieved a 32.90% valid recommendation coverage rate and a 16.13% top-three rate. The weakest platform signal is Copilot, where Kosas recorded a 32.88% valid recommendation coverage rate but only a 12.33% top-three rate and a 1.37% rank-one rate.

The clearest gap is in top-three placement. Kosas achieves a 15.81% top-three rate, meaning the brand appears among the first three recommended options in fewer than one in six qualified observations. By contrast, e.l.f. Cosmetics achieves a 34.19% top-three rate and Rare Beauty achieves 29.39%. Closing this placement gap represents the most direct path to improving recommendation-stage visibility.

All 626 qualified observations in this benchmark fell into the Brand Recommendation cluster. The benchmark does not yet contain qualified observations in pricing, value, or multi-brand comparison clusters, which limits the scope of this analysis to brand recommendation discovery.

What Kosas Is Winning

Questions This Section Answers

  • Where does Kosas have the strongest evidence-backed recommendation performance in the clean makeup category?
  • Which AI platforms show the strongest recommendation signal for Kosas?

Kosas demonstrates several evidence-backed strengths in the October 2026 benchmark.

Positive sentiment framing. The brand recorded zero negative mentions across 243 total mentions. With 218 positive and 25 neutral mentions, Kosas achieved a net sentiment score of 0.8971. This indicates that when AI systems mention Kosas, they frame the brand positively or neutrally, never negatively. This is a foundational asset for recommendation-stage visibility.

Rank-one recommendation capability. Kosas achieved a 2.72% rank-one rate, meaning the brand was the first recommendation in 17 qualified observations. While this rate is modest compared to e.l.f. Cosmetics (20.93%) and Rare Beauty (8.95%), it demonstrates that Kosas can reach the top position in certain contexts.

Strongest platform performance on Google AI Overviews. Kosas recorded its highest valid recommendation coverage on Google AI Overviews at 32.90%, with a top-three rate of 16.13% and a rank-one rate of 3.87%. This platform represents the brand's strongest recommendation signal in the current benchmark.

Perplexity recommendation strength. On Perplexity, Kosas achieved a 56.10% valid recommendation coverage rate, the highest among all platforms for the brand. The brand also recorded a 26.83% top-three rate and a 3.66% rank-one rate on this platform, with a perfect net sentiment score of 1.0.

Where Kosas Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • How large is the gap between Kosas's mention presence and its top-three recommendation rate?
  • Which platforms show the widest gap between Kosas being mentioned and being placed in the top three?
  • What is Kosas's average recommended rank compared to the category leaders?

Kosas faces a structural gap between presence and recommendation conversion. The brand appears in 38.82% of qualified AI responses but achieves valid recommendation coverage in only 33.71% of observations. This 5.11 percentage point gap indicates that Kosas is being mentioned in contexts where it is not being recommended.

The most significant gap is in top-three placement. Kosas achieves a 15.81% top-three rate, meaning the brand appears among the first three recommended options in fewer than one in six qualified observations. This places Kosas well behind the category leaders. e.l.f. Cosmetics achieves a 34.19% top-three rate, Rare Beauty achieves 29.39%, ILIA Beauty achieves 19.97%, and Tower 28 achieves 18.21%. The gap between Kosas and the category leader in top-three placement is 18.38 percentage points.

The rank-one rate reveals a similar pattern. Kosas achieves a 2.72% rank-one rate, compared to 20.93% for e.l.f. Cosmetics and 8.95% for Rare Beauty. While Kosas can reach the top recommendation position, it does so far less frequently than the category leaders.

Platform-level analysis reveals specific weaknesses. On Copilot, Kosas recorded a 32.88% valid recommendation coverage rate but only a 12.33% top-three rate and a 1.37% rank-one rate. On ChatGPT, the brand achieved a 35.62% valid recommendation coverage rate with a 12.33% top-three rate and a 1.37% rank-one rate. These platforms represent opportunities for placement improvement.

The average recommended rank for Kosas is 3.358, meaning that when the brand receives rank-eligible recommendations, it typically appears in the third position. This is behind ILIA Beauty (2.667), e.l.f. Cosmetics (2.490), and Rare Beauty (2.939), but ahead of Tower 28 (3.532), Glossier (3.536), and Tarte Cosmetics (3.608).

Biggest Opportunity

Questions This Section Answers

  • What is the clearest path for Kosas to convert AI mentions into top-three recommendations?
  • Which platforms already prove Kosas can achieve higher placement, and what would replicating that require?

The clearest opportunity for Kosas is converting existing presence into higher placement within the Brand Recommendation cluster. The brand already appears in 38.82% of qualified AI responses, indicating that AI systems recognize Kosas as relevant to clean makeup queries. The gap is in recommendation placement: Kosas achieves a top-three rate of 15.81% and a rank-one rate of 2.72%, well below what its presence rate would suggest is achievable.

This opportunity is concentrated in specific platforms. On Google AI Overviews, Kosas achieves a 32.90% valid recommendation coverage rate with a 16.13% top-three rate. On Perplexity, the brand achieves a 56.10% valid recommendation coverage rate with a 26.83% top-three rate. These platforms demonstrate that Kosas can achieve higher placement when the conditions are right. The opportunity is to understand what drives higher placement on these platforms and replicate those conditions across ChatGPT, Copilot, and Gemini.

The path from reference to recommendation for Kosas runs through strengthening the brand's positioning in high-intent prompts. The benchmark's prompt examples include queries such as "What are the cleanest makeup brands?", "What is the best blush on the market?", and "What is considered the best tinted moisturizer?" These prompts represent the contexts where Kosas needs to move from being mentioned to being recommended among the top three options.

Competitive Landscape

Questions This Section Answers

  • Where does Kosas rank among clean makeup brands on top-three and rank-one recommendation rates?
  • Which competitors lead Kosas on top-three rate, rank-one rate, and average recommended rank?

e.l.f. Cosmetics and Rare Beauty hold the strongest recommendation-stage positions in the clean makeup category, with e.l.f. Cosmetics leading on top-three rate and rank-one rate. Kosas sits in the middle tier, ahead of Milk Makeup, Thrive Causemetics, Glossier, Tarte Cosmetics, and Beautycounter, but behind the leading pair and Tower 28 and ILIA Beauty.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

e.l.f. Cosmetics

34.19%

20.93%

2.490

0.9289

Rare Beauty

29.39%

8.95%

2.939

0.8550

ILIA Beauty

19.97%

9.42%

2.667

0.9344

Tower 28

18.21%

4.63%

3.532

0.8742

Kosas

15.81%

2.72%

3.358

0.8971

Milk Makeup

13.26%

2.40%

3.301

0.8841

Thrive Causemetics

9.42%

3.04%

3.033

0.9280

Glossier

8.47%

1.60%

3.536

0.7055

Tarte Cosmetics

4.63%

1.44%

3.608

0.6972

Beautycounter

2.08%

0.80%

2.833

0.8846

Average recommended rank covers rank-eligible recommendations only.

Kosas ranks fifth by top-three rate and fifth by rank-one rate among the ten tracked brands. The brand's average recommended rank of 3.358 places it fifth, behind ILIA Beauty, e.l.f. Cosmetics, Rare Beauty, and Beautycounter. The gap between Kosas and the category leader in top-three rate is 18.38 percentage points, and the gap in rank-one rate is 18.21 percentage points.

Prompt Evidence

Google AI Overviews / Brand Recommendation Prompt: "What are the cleanest makeup brands?" Result: Kosas received a valid recommendation with a top-three placement, contributing to the brand's 16.13% top-three rate on this platform.

Perplexity / Brand Recommendation Prompt: "What is the best blush on the market?" Result: Kosas achieved a valid recommendation with a 26.83% top-three rate on Perplexity, reflecting the brand's strongest platform-level placement performance.

ChatGPT / Brand Recommendation Prompt: "What is considered the best tinted moisturizer?" Result: Kosas was mentioned but achieved only a 12.33% top-three rate on ChatGPT, indicating a placement gap relative to the brand's presence.

Copilot / Brand Recommendation Prompt: "What is the best eyebrow pencil to buy?" Result: Kosas recorded a 32.88% valid recommendation coverage rate but only a 1.37% rank-one rate on Copilot, illustrating the gap between presence and first-position placement.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map the specific prompts, platforms, and competitor contexts where Kosas appears but is not recommended, identifying the gap between presence and placement.

Phase 2: Recommendation Readiness Plan Prioritize the platforms and prompt types where Kosas has the clearest path from mention to top-three recommendation, focusing on Google AI Overviews and Perplexity as proven strengths.

Phase 3: Owned Answer Layer Buildout Strengthen Kosas-owned content that AI systems can retrieve and synthesize, ensuring the brand's product attributes, differentiators, and use cases are clearly articulated for recommendation contexts.

Phase 4: Citation / Authority Layer Development Develop the public evidence layer, including editorial coverage, retailer pages, and review sources, that AI systems draw from when forming recommendations in the clean makeup category.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Kosas's recommendation coverage, top-three rate, and rank-one rate month over month to measure progress and identify emerging platform shifts.

Why This Matters

AI-generated recommendations are becoming a primary discovery channel for clean makeup buyers. When a shopper asks an AI system for the best clean makeup brands, the response shapes the buyer shortlist before any traditional search or retail interaction occurs. Kosas currently appears in these responses but does not consistently appear among the top recommended options.

The difference between being mentioned and being recommended is commercially significant. A brand that appears in 38.82% of responses but achieves top-three placement in only 15.81% of observations is leaving recommendation-stage visibility on the table. Closing this gap requires targeted work on the prompt, page, and citation layers that AI systems draw from when forming recommendations. The benchmark shows where Kosas stands. The next step is understanding why and correcting the specific gaps.

Core Metrics

Metric

Value

Mentions

243

Valid recommendations

211

Top 3 recommendation count

99

Rank #1 recommendation count

17

Average recommended rank

3.358

Positive mentions

218

Neutral mentions

25

Negative mentions

0

Raw mention presence rate

38.82%

Valid recommendation coverage

33.71%

Top 3 recommendation rate

15.81%

Rank #1 recommendation rate

2.72%

Net sentiment score

0.8971

Strongest cluster by recommendation behavior

Brand Recommendation (C01)

Strongest platform by recommendation behavior

Perplexity (56.10% valid recommendation coverage)

Sentiment Score

Questions This Section Answers

  • Why is a high sentiment score alone insufficient for measuring Kosas's recommendation-stage visibility?
  • What does Kosas's net sentiment score of 0.8971 mean for its AI recommendation position?

Sentiment Score = (positive mentions × 1 + neutral mentions × 0 + negative mentions × -1) / total mentions

For Kosas in October 2026: (218 × 1 + 25 × 0 + 0 × -1) / 243 = 218 / 243 = 0.8971

This score matters because unclassified mention counts are misleading. A brand that appears frequently but is framed negatively or neutrally is not achieving the same recommendation-stage visibility as a brand that appears less often but is consistently framed positively. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal in commercial value.

Counting all mentions as wins is bad measurement. Kosas recorded 243 total mentions, but only 211 of those were valid recommendations. The 32 mentions that were not valid recommendations represent contexts where the brand appeared but was not shortlisted. Classified sentiment is required before interpreting AI visibility. Kosas's net sentiment score of 0.8971 indicates strong positive framing, which is a foundational asset for improving recommendation conversion.

Sentiment by Platform

Questions This Section Answers

  • On which platforms does Kosas receive the strongest positive framing?
  • Where does Kosas appear as context rather than as a recommendation?

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

34

26

8

0

0.7647

Present, but not recommendation-led

Copilot

35

27

8

0

0.7714

Present as context, not recommendation

Gemini

28

22

6

0

0.7857

Positive, but sample too small

Perplexity

46

46

0

0

1.0000

Strongest public recommendation signal

Google AI Overviews

54

52

2

0

0.9630

Strongest public recommendation signal

Google AI Mode

46

45

1

0

0.9783

Strongest public recommendation signal

Methodology

  1. This report is a benchmark-based analysis of Kosas's AI visibility and recommendation performance in the clean makeup category for October 2026. It is not a client implementation case study.
  2. The reporting window is October 2026. The benchmark series began in July 2026 and includes monthly measurements for July, August, September, and October 2026.
  3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode. All six platforms had at least one qualified observation in October 2026.
  4. The benchmark analyzed 626 qualified observations in October 2026. The raw collection included 800 prompt-surface observations, of which 684 were relevant to the clean makeup vertical and 626 survived both qualification stages.
  5. The competitor universe includes ten tracked brands: Kosas, e.l.f. Cosmetics, Rare Beauty, Tower 28, ILIA Beauty, Milk Makeup, Thrive Causemetics, Glossier, Tarte Cosmetics, and Beautycounter.
  6. One public high-intent cluster was used: Brand Recommendation (C01), which captures prompts seeking a direct clean makeup brand suggestion. All 626 qualified observations fell into this cluster.
  7. Stage 0 extraction retained the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources.
  8. A mention is defined as any appearance of the brand in an AI response, regardless of context or placement. Kosas recorded 243 mentions in October 2026.
  9. A valid recommendation is defined as an appearance in a recommendation shortlist where the brand is explicitly recommended or shortlisted. Kosas recorded 211 valid recommendations in October 2026.
  10. The unique question count for October 2026 was 623. The public benchmark does not expose the full prompt list.
  11. Ranking interpretation: Top-three rate measures the share of qualified observations where the brand appears among the first three recommended options. Rank-one rate measures the share where the brand is the first recommendation. Average recommended rank covers rank-eligible recommendations only.
  12. Limitations: The benchmark measures brand recommendation discovery only and does not yet contain qualified observations in pricing, value, or multi-brand comparison clusters. The benchmark does not measure market share, sales attribution, organic search ranking, or social media mention volume. Source presence is evidence about the information environment and is not automatically proof that the source caused the recommendation.

See How AI Is Recommending Your Brand

The public benchmark shows where Kosas stands in AI-generated recommendations across major platforms. A company-level AI visibility audit maps the specific prompts, platforms, and competitor contexts where Kosas appears but is not recommended, and identifies the citation and content gaps that shape those outcomes. Understanding where recommendations are formed is the first step toward improving recommendation-stage visibility.

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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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