CiteWorks Studio

Ursa Major AI Market Strategy Report - Natural Skincare Brand

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • Ursa Major posted the largest month-over-month coverage decline in the category, dropping from 22.0% in August to 18.0% in September 2026.
  • The main issue is reduced AI retrieval, not weak sentiment: raw mention presence fell to 18.9% while sentiment remained fully positive.
  • Ursa Major converts mentions into recommendations efficiently, but weak top-three and rank-one placement limits competitive impact.
  • The strongest near-term opportunity is improving placement on Gemini and Google AI Overviews, where the brand already has meaningful presence.

Answer Capsule

Ursa Major recorded the largest coverage decline in the natural skincare brand category in September 2026, with valid recommendation coverage falling to 18.0% from 22.0% in August. The brand's raw mention presence dropped more sharply, falling 5.2 points to 18.9%, which suggests Ursa Major appeared in fewer AI responses overall rather than simply being recommended less often. The clearest weakness is a recommendation conversion gap: the brand converts nearly all of its presence into valid recommendations, but its top-three rate of 7.47% and rank-one rate of 2.67% leave it in the middle of a crowded field. The clearest opportunity is closing the distance to upper-mid tier brands such as Youth To The People and Tata Harper, which hold materially stronger placement quality at similar or only modestly higher presence levels.

Who This Report Is For

This report is for brand, digital, and growth leaders at Ursa Major who need to understand where the brand stands in AI-generated natural skincare recommendations and what is driving its recent visibility loss.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Ursa Major

Category / market studied

Natural Skincare Brand

Reporting month

September 2026

AI platforms tracked

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

Public high-intent clusters

1

AI observations analyzed

562

Competitors tracked

10

Executive Summary

Questions This Section Answers

  • What is driving Ursa Major's September 2026 coverage decline?
  • Why does Ursa Major's high recommendation conversion not translate into stronger competitive pressure?

Ursa Major holds a narrow presence-to-recommendation profile in the natural skincare brand category. The brand appeared in 106 of 562 qualified observations in September 2026, a raw mention presence rate of 18.86%, and received 101 valid recommendations, a coverage rate of 17.97%. That means nearly every mention converted into a recommendation, which is a sign of clean framing, but the underlying presence level is too low to generate meaningful competitive pressure.

The benchmark shows Ursa Major's valid recommendation coverage fell 4.0 points from 22.0% in August to 18.0% in September, the largest decline in the category. The movement remained within normal month-to-month variation, but the raw mention presence drop of 5.2 points from 24.1% to 18.9% indicates the brand is being surfaced less often across AI responses, not just ranked lower within them.

Ursa Major's strongest cluster is the only cluster with qualified observations: Best Natural Skincare Brands & Products, which captures consumers seeking natural skincare brand recommendations. The brand holds no qualified presence in comparison or pricing and value clusters in this public series.

Across platforms, Ursa Major's strongest signal came from Google AI Overviews, where it reached 21.15% valid recommendation coverage, and Gemini, where it reached 24.44% coverage. Its weakest platform signal was ChatGPT, where coverage fell to 7.69%, and Copilot, where it reached 17.19% but with no rank-one placements.

The core issue is not negative framing. Ursa Major recorded zero negative mentions and a perfect net sentiment score of 1.0 across all 106 mentions. The issue is scale and placement: the brand is recommended positively when it appears, but it does not appear often enough, and when it does appear, it rarely earns a top-three or rank-one position.

What Ursa Major Is Winning

Ursa Major's cleanest win is framing quality. The brand recorded 106 positive mentions, zero negative mentions, and zero neutral mentions in September 2026, producing a perfect net sentiment score of 1.0. No tracked brand in the category recorded negative framing, but Ursa Major is one of only two brands, alongside KORA Organics, to hold a perfect sentiment score.

The brand also shows a high recommendation conversion rate. Of 106 mentions, 101 were valid recommendations, meaning 95.3% of the time Ursa Major appeared in an AI answer, it was recommended rather than merely referenced. This suggests the public evidence layer supports Ursa Major as a legitimate recommendation candidate when the brand is retrieved.

Ursa Major's strongest platform signal came from Gemini, where it reached 24.44% valid recommendation coverage, its best platform-level performance in the tracked set. Google AI Overviews also delivered above-average coverage at 21.15%, indicating the brand holds meaningful presence in Google's AI surfaces.

Where Ursa Major Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Where is Ursa Major losing placement quality despite strong presence?
  • Why is ChatGPT Ursa Major's clearest platform gap?
  • What does the comparison to Youth To The People reveal about the nature of Ursa Major's challenge?

Ursa Major's clearest gap is placement quality. The brand's top-three rate of 7.47% and rank-one rate of 2.67% place it in the lower half of the tracked field, despite its near-perfect conversion of mentions into recommendations. When Ursa Major is recommended, its average recommended rank is 3.24, meaning it typically appears at the edge of the top-three window rather than inside it.

The comparison to Youth To The People is instructive. Youth To The People holds a raw mention presence rate of 26.33%, only 7.5 points higher than Ursa Major, but its top-three rate of 13.88% is nearly double Ursa Major's 7.47%, and its rank-one rate of 5.87% is more than double Ursa Major's 2.67%. The gap is not presence alone; it is how often each brand earns prominent placement when present.

ChatGPT is Ursa Major's clearest platform gap. The brand appeared in only 5 of 65 ChatGPT observations, a presence rate of 7.69%, and earned just one top-three placement and one rank-one placement. By contrast, category leader OSEA reached 60.0% presence on ChatGPT, and True Botanicals reached 32.31%. Ursa Major is nearly absent from a surface where competitors hold meaningful recommendation presence.

The brand also shows a weak Perplexity profile. Ursa Major appeared in 16 of 66 Perplexity observations, a presence rate of 24.24%, but earned only one top-three placement and zero rank-one placements. The brand is present on Perplexity but is not being selected as a leading recommendation.

Biggest Opportunity

Questions This Section Answers

  • In which surfaces should Ursa Major prioritize improving its recommendation placement?
  • What is the most efficient path to converting Ursa Major's Google AI presence into stronger recommendations within answers?

Ursa Major's clearest opportunity is converting its strong Gemini and Google AI Overviews presence into consistent top-three placement across all surfaces. The brand already holds above-average coverage on Gemini at 24.44% and Google AI Overviews at 21.15%, but its top-three rates on those platforms are only 7.78% and 10.90% respectively. The evidence suggests Ursa Major is retrievable in Google's AI surfaces but is not being positioned as a leading recommendation within the answers it appears in.

Closing the placement gap on the platforms where Ursa Major already has presence would be more efficient than trying to build presence from near zero on ChatGPT. The brand needs to strengthen the specific product, ingredient, and skin-concern narratives that AI systems associate with top recommendation slots, particularly in the best natural skincare brands cluster where all qualified observations currently sit.

Competitive Landscape

Questions This Section Answers

  • How does Ursa Major's coverage and recommendation placement compare to the category leaders?
  • Which gap separates Ursa Major from upper-mid tier brands at a similar presence level?

OSEA and True Botanicals hold dominant recommendation-stage strength in the natural skincare brand category, with OSEA at 59.79% valid recommendation coverage and True Botanicals at 41.81%. Ursa Major sits in the lower-middle tier with 17.97% coverage, behind Tata Harper, Youth To The People, and Herbivore Botanicals, and ahead of only Pacifica Beauty, KORA Organics, and 100% PURE.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

OSEA

38.08%

12.81%

2.54

0.9781

True Botanicals

27.58%

14.77%

2.21

0.9885

Tata Harper

17.08%

6.23%

2.80

0.9561

Youth To The People

13.88%

5.87%

2.35

0.9865

KORA Organics

8.90%

2.67%

2.91

0.9798

Herbivore Botanicals

8.19%

1.78%

3.51

0.9706

Ursa Major

7.47%

2.67%

3.24

1.0000

Pacifica Beauty

7.30%

3.38%

2.97

0.9831

Acure

7.12%

1.78%

3.64

0.9760

100% PURE

4.09%

1.25%

3.51

0.9889

Average recommended rank covers rank-eligible recommendations only.

Ursa Major's position in the table shows a brand with clean framing but limited placement power. Its top-three rate of 7.47% is the third-lowest in the tracked set, and its rank-one rate of 2.67% ties it with KORA Organics but trails Pacifica Beauty despite Pacifica's lower overall coverage. The brand's perfect sentiment score does not compensate for its weak placement profile.

Prompt Evidence

Gemini / Best Natural Skincare Brands & Products Prompt: "best face oil" Result: Ursa Major appeared in 24.44% of Gemini observations with valid recommendations, its strongest platform performance, but earned top-three placement only 7.78% of the time.

ChatGPT / Best Natural Skincare Brands & Products Prompt: "natural skincare" Result: Ursa Major appeared in only 7.69% of ChatGPT observations, its weakest platform presence, with just one top-three and one rank-one placement across 65 observations.

Google AI Overviews / Best Natural Skincare Brands & Products Prompt: "non toxic body wash" Result: Ursa Major reached 21.15% valid recommendation coverage on Google AI Overviews, but its rank-one rate was only 3.21%, indicating presence without first-position conversion.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompts where Ursa Major appears, the prompts where it is absent, and the competitors that take the recommendation when Ursa Major is not selected.

Phase 2: Recommendation Readiness Plan Identify the product, ingredient, and skin-concern narratives that AI systems associate with top recommendation slots and prioritize the gaps between Ursa Major's current framing and those narratives.

Phase 3: Owned Answer Layer Buildout Strengthen owned content around the specific queries where Ursa Major holds presence but weak placement, particularly in the best natural skincare brands cluster.

Phase 4: Citation / Authority Layer Development Expand the public evidence layer that supports Ursa Major's recommendation eligibility, focusing on sources that AI systems currently retrieve on Gemini and Google AI Overviews.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track whether the presence decline stabilizes and whether placement quality improves on the platforms where Ursa Major already holds meaningful coverage.

Why This Matters

AI-generated recommendations are becoming the first filter in natural skincare brand selection. When a shopper asks an AI assistant which natural skincare brand to choose, the brands that appear in the top three recommendation slots shape the shortlist before the shopper ever visits a brand site or reads a product page.

Ursa Major's challenge is not reputation. The brand is framed positively in every mention it receives. The challenge is that AI systems do not surface Ursa Major often enough, and when they do, they rarely position it as a leading choice. Presence without prominent placement leaves the brand visible but not selected, and in a category where shoppers are asking for recommendations, being visible without being chosen is a weak competitive position.

Core Metrics

Metric

Value

Mentions

106

Valid recommendations

101

Top 3 recommendation count

42

Rank #1 recommendation count

15

Average recommended rank

3.24

Positive mentions

106

Neutral mentions

0

Negative mentions

0

Raw mention presence rate

18.86%

Valid recommendation coverage

17.97%

Top 3 recommendation rate

7.47%

Rank #1 recommendation rate

2.67%

Net sentiment score

1.0000

Strongest cluster by recommendation behavior

Best Natural Skincare Brands & Products

Strongest platform by recommendation behavior

Gemini

Sentiment Score

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

For Ursa Major, the calculation is (106 x 1 + 0 x 0 + 0 x -1) / 106, producing a perfect score of 1.0.

This matters because unclassified mention counts are misleading. A brand can appear frequently in AI answers but be framed negatively, neutrally, or as a comparison anchor rather than a genuine recommendation. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, neutral reference, cautionary mention, and competitor-displaced mention are not equal. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because a brand with high presence and negative framing faces a different problem than a brand with low presence and positive framing.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

5

5

0

0

1.0

Present, but minimal presence

Copilot

11

11

0

0

1.0

Present as context, not recommendation-led

Gemini

22

22

0

0

1.0

Strongest public recommendation signal

Perplexity

16

16

0

0

1.0

Present, but not recommendation-led

Google AI Overviews

33

33

0

0

1.0

Strong public presence

Google AI Mode

19

19

0

0

1.0

Present, but not recommendation-led

Methodology

  1. Report orientation: This is a benchmark-based analysis of Ursa Major's presence, recommendation coverage, placement, and framing in AI-generated natural skincare brand recommendations. It is not a client implementation case study.
  2. Reporting window: The analysis covers September 2026, with August 2026 referenced for movement context.
  3. Platforms tracked: Six canonical AI surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
  4. Observation count: The benchmark began with 800 prompt-surface observations and produced 562 qualified observations after two qualification stages.
  5. Competitor universe: Ten natural skincare brands were tracked: OSEA, True Botanicals, Tata Harper, Youth To The People, Herbivore Botanicals, Acure, Ursa Major, Pacifica Beauty, KORA Organics, and 100% PURE.
  6. Public clusters used: All 562 qualified observations fell into the Brand Recommendation class, which captures consumers seeking natural skincare brand suggestions. No qualified observations existed in pricing and value or multi-brand comparison clusters in this public series.
  7. Stage 0 role: Prompt-level observations retained the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources.
  8. Definition of a mention: A mention is any qualified observation where the brand appears in an AI answer at all, regardless of whether it is recommended.
  9. Definition of a valid recommendation: A valid recommendation is a qualified observation where the brand receives a positive recommendation with a rank-eligible placement.
  10. Limitations: This public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, social mention volume, private or sponsored channels, or causality from a metric movement alone. Movement between months identifies changes worth investigating; it does not by itself establish why a brand gained or lost recommendation coverage.
  11. Unique prompt count: The public version of this benchmark does not expose the full unique prompt count per brand. The raw collection universe contained 583 unique questions in September 2026.
  12. Ranking interpretation: Average recommended rank covers rank-eligible recommendations only. Brands with no rank-eligible recommendations do not receive an average recommended rank.

See How AI Is Recommending Your Brand

The public benchmark shows where Ursa Major is winning and losing in AI-generated recommendations. A company-level AI visibility audit can map the specific prompts, surfaces, competitors, and evidence sources behind those numbers into a prioritized strategy for converting presence into prominent placement.

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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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