Rare Beauty AI Visibility Market Strategy Report - Clean Makeup Brands

Mark HuntleyBy Mark HuntleyFounder and CEO
12 minutes read

Key Takeaways

  • Rare Beauty has the highest raw mention presence in the category, but it converts that visibility into first-position recommendations at a much lower rate than e.l.f. Cosmetics.
  • Valid recommendation coverage improved from July to October 2026, and top-three placement rose, showing stronger shortlist performance over time.
  • AI Overviews is the strongest platform for Rare Beauty, while Copilot underperforms despite solid presence.
  • Four high-severity factual conflicts around Ulta availability and vegan status need correction because they affect buyer decisions.

Answer Capsule

Rare Beauty holds the second-strongest recommendation position in the clean makeup brands benchmark for October 2026, with 51.60% valid recommendation coverage, up 9.1 points from 42.50% in July 2026. The brand records the highest raw mention presence in the tracked set at 63.90%, yet converts that presence into first-position recommendations at less than half the rate of category leader e.l.f. Cosmetics. The clearest win is a significant rise in top-three placement, the clearest weakness is weak rank-one conversion, and the clearest opportunity is closing the gap between being mentioned and being recommended first.

Who This Report Is For

This report is written for Rare Beauty's brand, growth, and ecommerce leadership, and for category strategists tracking how clean makeup brands are surfaced and recommended across AI and search surfaces.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

Rare Beauty

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 qualified (Best Clean Makeup Brands Discovery & Evaluation)

AI observations analyzed

626 qualified observations

Competitors tracked

9

Executive Summary

Rare Beauty is the strongest challenger in the clean makeup category and one of only two brands the benchmark classified as a significant riser across the July-to-October 2026 series. Valid recommendation coverage rose 9.1 points from 42.50% in July 2026 to 51.60% in October 2026, and the brand recorded 323 valid recommendations in October 2026, second only to e.l.f. Cosmetics.

The brand's defining characteristic is presence leadership without proportional first-position conversion. Rare Beauty appears in 63.90% of qualified observations, the highest raw mention presence rate in the tracked set, yet its rank-one rate is 8.95%, compared with 20.93% for e.l.f. Cosmetics. The brand is mentioned more than any competitor but is recommended first at less than half the leader's rate.

Placement improved materially over the series. The top-three rate rose 9.3 points from 20.1% in July 2026 to 29.39% in October 2026, and the rank-one rate rose 2.3 points to 8.95%. The gap between Rare Beauty and e.l.f. Cosmetics in top-three appearances was 4.80 points in October 2026, while their rank-one rates differed by 11.98 points, showing that close coverage can still hide very different first-position outcomes.

Sentiment and framing are healthy. The brand recorded 342 positive mentions, 58 neutral mentions, and zero negative mentions in October 2026, producing a net sentiment score of 0.8550. No negative framing appeared anywhere in the tracked set for Rare Beauty.

The strongest platform signal is AI Overviews, where Rare Beauty recorded 89 valid recommendations and a 57.42% valid recommendation coverage rate, the highest single-platform coverage figure for the brand. The weakest platform signal is Copilot, where coverage was 34.25% and the rank-one rate was 8.22%.

The clearest gap is rank-one conversion. Rare Beauty is present, positively framed, and increasingly shortlisted, but it is not yet the default first recommendation in the category's highest-intent discovery prompts. The benchmark also flagged four factual inconsistencies involving Rare Beauty across five AI platforms, concentrated on Ulta availability and vegan status, which represent a separate correction priority.

What Rare Beauty Is Winning

Questions This Section Answers

  • Where does Rare Beauty lead the clean makeup category on raw AI mention presence?
  • Which platforms and placement metrics showed the biggest gains for Rare Beauty since July 2026?

Rare Beauty holds the highest raw mention presence in the tracked set at 63.90%, ahead of e.l.f. Cosmetics at 62.9%. The brand is surfaced in more AI answers than any competitor in the category.

The brand is one of only two significant risers across the full July-to-October 2026 series, gaining 9.1 points in valid recommendation coverage. Its September-to-October gain of 7.9 points was also significant on its own.

Top-three placement improved sharply. The top-three rate rose 9.3 points from 20.1% in July 2026 to 29.39% in October 2026, and the brand recorded 184 top-three appearances in October 2026.

Framing quality is strong and clean. Rare Beauty recorded zero negative mentions across 400 present observations, with a net sentiment score of 0.8550. The brand also holds the highest positive visibility rate in the tracked set at 54.63%.

AI Overviews is a genuine strength. Rare Beauty recorded 89 valid recommendations on that surface, the highest count of any platform for the brand, with a 57.42% valid recommendation coverage rate.

Where Rare Beauty Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why does Rare Beauty convert AI presence into first-position recommendations at less than half the rate of e.l.f. Cosmetics?
  • Which platform underperforms for Rare Beauty despite strong presence, and what factual conflicts need correcting?

The clearest gap is rank-one conversion. Rare Beauty converts presence to first-position placement at 8.95%, while e.l.f. Cosmetics converts at 20.93%. The brand is mentioned more often than the leader but is recommended first less than half as often.

The gap between Rare Beauty and e.l.f. Cosmetics in top-three appearances was only 4.80 points in October 2026, but their rank-one rates differed by 11.98 points. Rare Beauty is consistently shortlisted and rarely chosen first.

Copilot is the weakest platform for the brand. Valid recommendation coverage on Copilot was 34.25%, well below the brand's AI Overviews figure of 57.42%, and the rank-one rate on Copilot was 8.22%. The brand is present on Copilot but not recommendation-led there.

The benchmark also flagged four critical and high-severity factual inconsistencies involving Rare Beauty across five AI platforms. These conflicts concern Ulta availability and vegan status, and they represent a distinct correction priority from the recommendation gaps above.

Biggest Opportunity

The single biggest opportunity is converting Rare Beauty's presence leadership into first-position recommendations in the Best Clean Makeup Brands Discovery & Evaluation cluster. The brand already appears in more AI answers than any competitor and is positively framed in every tracked mention. The missing layer is the evidence and framing that moves a brand from shortlist to first choice.

The benchmark's own prompt examples point to where this conversion happens: questions such as "What is considered the best tinted moisturizer?", "Which brand is best for concealer?", and "What's the top rated concealer?" are the exact high-intent discovery prompts where a first-position recommendation is worth the most. Rare Beauty already appears in these contexts. The opportunity is to become the answer those prompts lead with.

Competitive Landscape

Questions This Section Answers

  • How do Rare Beauty's top-three and rank-one rates compare with e.l.f. Cosmetics and the rest of the clean makeup category?
  • Which brands form the middle tier behind the category leader on valid recommendation coverage?

e.l.f. Cosmetics holds the strongest recommendation-stage position in the clean makeup category, with Rare Beauty as the closest challenger and ILIA Beauty, Tower 28, and Kosas forming a middle tier more than 10 points behind the leader on valid recommendation coverage.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

e.l.f. Cosmetics

34.19%

20.93%

2.49

0.9289

Rare Beauty

29.39%

8.95%

2.94

0.8550

ILIA Beauty

19.97%

9.42%

2.67

0.9344

Tower 28

18.21%

4.63%

3.53

0.8742

Kosas

15.81%

2.72%

3.36

0.8971

Milk Makeup

13.26%

2.40%

3.30

0.8841

Thrive Causemetics

9.42%

3.04%

3.03

0.9280

Glossier

8.47%

1.60%

3.54

0.7055

Tarte Cosmetics

4.63%

1.44%

3.61

0.6972

Beautycounter

2.08%

0.80%

2.83

0.8846

Average recommended rank covers rank-eligible recommendations only.

Rare Beauty ranks second on top-three rate and second on rank-one rate, but the distance between those two positions tells the story. The brand sits 4.80 points behind e.l.f. Cosmetics on top-three appearances and 11.98 points behind on rank-one recommendations, the widest top-three-to-rank-one divergence among the leading brands.

AI Response Inconsistency Alerts

Questions This Section Answers

  • Which factual conflicts about Rare Beauty appeared across ChatGPT, Copilot, AI Mode, AI Overviews, and Perplexity?
  • What do the availability and vegan-status disagreements mean for buyers forming a clean makeup shortlist?

Four critical and high-severity factual inconsistencies were detected for Rare Beauty across five AI platforms: ChatGPT, Copilot, AI Mode, AI Overviews, and Perplexity. All four conflicts concern brand facts that buyers may act on directly.

The most severe conflict is a critical availability inconsistency. When asked "What brands does Ulta not carry?", Copilot stated that Ulta does not carry Rare Beauty, citing Glam, a Sephora-versus-Ulta comparison blog, and a beauty retail explainer. ChatGPT, answering the same question, stated that Ulta currently has Rare Beauty in its brand directory, citing Ulta's own brand directory page. A flagged Ulta coupon-exclusions page on the ChatGPT side lists Rare Beauty, while a flagged Glam article on the Copilot side states that Rare Beauty is only sold on the company's website, Amazon, and at Sephora. These two claims cannot both be true.

The second conflict concerns vegan status. When asked "What cosmetic brands are vegan?", ChatGPT stated that Rare Beauty offers many vegan makeup products but is not fully vegan, citing PETA and Cruelty-Free Kitty sources. AI Mode, answering the same question, stated that Rare Beauty is entirely vegan and cruelty-free. The two positions on the brand's overall vegan status are mutually exclusive.

The third conflict repeats the vegan-status disagreement on a different platform pairing. ChatGPT again stated that Rare Beauty offers many vegan products rather than being fully vegan, while AI Overviews listed Rare Beauty among top-rated completely vegan options, citing Pacifica Beauty, a Reddit vegan thread, and Credo Beauty. A flagged Vegan Shoppe page on the AI Overviews side asserts that all Rare Beauty products are vegan and cruelty-free.

The fourth conflict concerns cruelty-free and vegan classification. When asked "Which makeup brands are cruelty-free and vegan?", ChatGPT stated that Rare Beauty is vegan and cruelty-free, while Perplexity stated that Rare Beauty is cruelty-free with vegan options available. The two answers describe different brand-level statuses for the same question.

These inconsistencies matter because availability and ingredient-status questions sit close to purchase decisions. When AI platforms disagree about whether a brand is carried at a major retailer or whether it is fully vegan, buyers receive conflicting guidance at the moment they are forming a shortlist.

Prompt Evidence

Questions This Section Answers

  • Which high-intent clean makeup prompts show Rare Beauty's strongest and weakest AI recommendation performance?
  • How does Rare Beauty's first-position conversion vary across platforms in the tracked prompt examples?

ChatGPT / Best Clean Makeup Brands Discovery & Evaluation Prompt: "What is considered the best tinted moisturizer?" Result: Rare Beauty appeared in the response with positive framing, contributing to its 46.58% valid recommendation coverage on ChatGPT, though first-position placement remained limited at a 4.11% rank-one rate.

Copilot / Best Clean Makeup Brands Discovery & Evaluation Prompt: "Which makeup brands are best?" Result: Rare Beauty was mentioned with the highest presence rate on Copilot at 60.27%, but converted to a rank-one recommendation in only 8.22% of observations, the clearest example of presence without first-position conversion.

AI Overviews / Best Clean Makeup Brands Discovery & Evaluation Prompt: "What's the top rated concealer?" Result: Rare Beauty recorded its strongest platform performance here, with 89 valid recommendations and a 57.42% valid recommendation coverage rate on AI Overviews.

Perplexity / Best Clean Makeup Brands Discovery & Evaluation Prompt: "What setting spray is best for acne prone skin?" Result: Rare Beauty appeared with a 65.85% valid recommendation coverage rate on Perplexity, the brand's highest coverage rate on any single platform, alongside a 100% positive sentiment read on that surface.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map every high-intent clean makeup prompt where Rare Beauty appears, where it is shortlisted, and where it is recommended first, using the benchmark's prompt-level evidence as the starting layer.

Phase 2: Recommendation Readiness Plan Prioritize the specific prompt clusters and platforms where presence is high but rank-one conversion is low, starting with Copilot and the concealer, tinted moisturizer, and setting spray prompt types.

Phase 3: Owned Answer Layer Buildout Strengthen Rare Beauty's owned pages so that product, ingredient, availability, and vegan-status facts are stated in clear, extractable language that AI systems can retrieve and repeat accurately.

Phase 4: Citation and Authority Layer Development Build and reinforce the third-party source pages that AI systems already cite for Rare Beauty, and correct the conflicting availability and vegan-status claims flagged across ChatGPT, Copilot, AI Mode, AI Overviews, and Perplexity.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track valid recommendation coverage, top-three rate, rank-one rate, and sentiment by platform each month to confirm whether presence is converting into first-position recommendations.

Why This Matters

Rare Beauty is winning the visibility contest and losing the first-choice contest. The brand appears in more AI answers than any competitor in the clean makeup category, is framed positively in every tracked mention, and improved its shortlist position significantly since July 2026. None of that guarantees it is the brand an AI system names first when a buyer asks for the best option.

AI presence alone is not enough. The benchmark shows that a brand can lead on presence, hold strong sentiment, and still convert to first-position recommendations at less than half the rate of the category leader. The next move is targeted correction of the prompt, page, and citation layers that determine which brand an AI system recommends first, and which brand facts AI systems repeat accurately when buyers ask.

Core Metrics

Metric

Value

Mentions

400

Valid recommendations

323

Top 3 recommendation count

184

Rank #1 recommendation count

56

Average recommended rank

2.94

Positive mentions

342

Neutral mentions

58

Negative mentions

0

Raw mention presence rate

63.90%

Valid recommendation coverage

51.60%

Top 3 recommendation rate

29.39%

Rank #1 recommendation rate

8.95%

Net sentiment score

0.8550

Strongest cluster by recommendation behavior

Best Clean Makeup Brands Discovery & Evaluation (C01)

Strongest platform by recommendation behavior

AI Overviews

Sentiment Score

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

For Rare Beauty in October 2026, that calculation is (342 × 1 + 58 × 0 + 0 × -1) / 400, which produces a net sentiment score of 0.8550.

This matters because unclassified mention counts are misleading. A brand with 400 mentions and no sentiment classification looks identical whether those mentions are enthusiastic recommendations, neutral references, or cautionary comparisons. Rare Beauty's 400 mentions break down into 342 positive and 58 neutral, with zero negative, which is a materially different picture from a brand with the same mention count and a weaker mix.

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. Classified sentiment is required before interpreting AI visibility, because it separates a brand that is being recommended from a brand that is merely being listed.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

AI Overviews

98

92

6

0

0.9388

Strongest public recommendation signal

AI Mode

79

76

3

0

0.9620

Strong positive recommendation signal

Gemini

66

53

13

0

0.8030

Present, but not recommendation-led

Perplexity

59

55

4

0

0.9322

Strong positive recommendation signal

ChatGPT

54

34

20

0

0.6296

Present as context, not recommendation

Copilot

44

32

12

0

0.7273

Present, but not recommendation-led

Methodology

  1. This report is a benchmark-based analysis of Rare Beauty's AI recommendation position in the clean makeup brands category for October 2026. It is not a client implementation result.
  2. The reporting window covers the October 2026 measurement, with series comparisons against the July 2026 baseline and the August and September 2026 interim months.
  3. Six AI and search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. All six were represented in the qualified observation set.
  4. The October 2026 benchmark began with 800 prompt-surface observations and produced 626 qualified observations after qualification. August 2026 recorded 640 qualified observations and September 2026 recorded 645.
  5. The competitor universe contains 10 tracked brands: Rare Beauty, e.l.f. Cosmetics, Tower 28, ILIA Beauty, Kosas, Milk Makeup, Thrive Causemetics, Glossier, Tarte Cosmetics, and Beautycounter.
  6. One public high-intent cluster carried qualified observations in October 2026: Best Clean Makeup Brands Discovery & Evaluation. The pricing and value and multi-brand comparison clusters recorded no qualified observations in the public series.
  7. Stage 0 extraction produced the prompt-level observations that retain the query, AI or search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources.
  8. A mention is counted when Rare Beauty appears in a qualified observation in any context, whether recommended, referenced, or listed.
  9. A valid recommendation is counted only when the dataset explicitly marks Rare Beauty as a valid recommendation in a shortlist. Neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations.
  10. Brand-level percentages use the 626 qualified observations as the public denominator, not the raw 800-prompt collection.
  11. The unique question count for October 2026 was 623. The public benchmark does not expose a unique prompt count at the brand level.
  12. Source presence is evidence about the information environment. It is not automatically proof that a source caused a recommendation. Citation frequency is not treated as endorsement anywhere in this report.

See How AI Is Recommending Your Brand

The public benchmark shows where Rare Beauty stands in AI-generated recommendations across the clean makeup category. A company-level AI visibility audit maps the specific prompts, platforms, competitors, and source pages behind that position, including the availability and vegan-status conflicts flagged across five AI platforms, into a prioritized plan for converting presence into first-position recommendations.

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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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