Sun Bum AI Visibility Market Strategy Report - Body Care Brands

Answer Capsule

Sun Bum holds a narrow but real position in AI-generated body care recommendations, with 4.75% valid recommendation coverage in October 2026 across 526 qualified observations. The brand appears in 6.08% of AI answers but converts that presence into a valid recommendation only 4.75% of the time, a gap that signals visibility without recommendation conversion. Sun Bum's clearest win is a 1.14% rank-one rate, which is higher than several larger competitors despite far lower overall presence. The clearest weakness is near-total absence from Copilot and Gemini recommendation sets, where the brand records 0.00% top-three placement. The biggest opportunity sits in the discovery and evaluation cluster, where Sun Bum already earns 25 valid recommendations but remains outside the shortlist in more than 95% of qualified answers.

Who This Report Is For

This report is written for Sun Bum's brand, ecommerce, and category marketing leadership, and for retail and marketplace partners evaluating how the brand is surfaced in AI-led discovery across body care.

Report Card

Executive Summary

Sun Bum is visible in AI-generated body care answers but is rarely converted into a recommendation. The brand recorded 32 mentions across 526 qualified observations in October 2026, a raw mention presence rate of 6.08%, and 25 valid recommendations, a valid recommendation coverage rate of 4.75%. That gap between presence and recommendation is the defining feature of Sun Bum's AI position: the brand is named, but it is not shortlisted.

Sentiment is not the problem. Sun Bum recorded 25 positive mentions, 7 neutral mentions, and zero negative mentions in October 2026, producing a net sentiment score of 0.7812. Every mention of the brand in the qualified set was either positive or neutral. The issue is not how AI systems frame Sun Bum when they mention it. The issue is how often they mention it at all, and how rarely that mention becomes a recommendation.

The strongest platform signal for Sun Bum is AI Mode, where the brand earned 11 valid recommendations and a 4.62% top-three rate, the highest of any tracked platform. AI Overviews added 3 valid recommendations and a 1.41% top-three rate. ChatGPT contributed 3 valid recommendations and a 1.54% top-three rate. Gemini, Copilot, and Perplexity each contributed 4 or fewer valid recommendations, and Copilot produced no rank-eligible recommendation value for the brand at all.

The clearest platform gap is Copilot. Sun Bum appeared in 1 of 61 Copilot observations, a raw mention presence rate of 1.64%, and received no top-three placement and no rank-one placement. The brand also recorded 0.00% top-three rate on Gemini despite 4 valid recommendations, meaning Gemini mentions Sun Bum but does not place the brand in the first three positions.

The strongest cluster is the only cluster with data: Best Body Care Brands Discovery & Evaluation, which carries 526 qualified observations and a consideration-stage buyer multiplier of 1.0. Sun Bum earned 25 valid recommendations and 10 top-three placements in this cluster. The two remaining clusters, Body Care Brand Comparisons & Alternatives and Body Care Brand Pricing & Value, produced no qualified observations in October 2026, so the benchmark cannot yet show how Sun Bum performs in head-to-head comparison or pricing prompts.

The clearest opportunity is to convert existing presence into shortlist placement. Sun Bum is already named in 6.08% of qualified answers. Moving even a portion of those mentions into top-three positions would materially change the brand's recommendation-stage visibility without requiring new category entry.

What Sun Bum Is Winning

Questions This Section Answers

• Where does Sun Bum rank first more often than its competitors in AI body care recommendations?
• Which platform produces Sun Bum's strongest recommendation results?

Sun Bum's clearest win is its rank-one rate. The brand recorded a 1.14% rank-one rate in October 2026, higher than Kiehl's at 2.85% by share of its own presence but higher than Origins at 0.19% and Kopari Beauty and Billie at 0.00% in absolute terms. When Sun Bum does appear in a recommendation set, it is more likely than several lower-ranked competitors to appear in the first position.

The second win is sentiment. Sun Bum recorded zero negative mentions across 32 total mentions in October 2026, producing a net sentiment score of 0.7812. The brand is not being framed cautiously or as a comparison anchor. Every mention in the qualified set was positive or neutral.

The third win is AI Mode performance. Sun Bum earned 11 valid recommendations on AI Mode, the highest count of any tracked platform for the brand, and a 4.62% top-three rate. AI Mode is the platform where Sun Bum's recommendation behavior is strongest relative to its own baseline.

These are real but narrow wins. Sun Bum does not hold dominant recommendation power in any cluster or on any platform. The brand holds a small, positive, and top-heavy recommendation pocket that is worth protecting and expanding.

Where Sun Bum Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why does Sun Bum convert a mention into a valid recommendation less often than category leaders?
• Which AI platforms are nearly absent Sun Bum from shortlist placement?
• Where does Sun Bum lack qualified data to compete in AI recommendations?

Sun Bum's largest gap is recommendation conversion. The brand appears in 6.08% of qualified answers but receives a valid recommendation in only 4.75%. That 1.33 percentage point gap means roughly one in five Sun Bum mentions does not convert into a recommendation. By comparison, CeraVe converts 96.01% presence into 91.06% coverage, and Neutrogena converts 88.02% presence into 81.37% coverage. Sun Bum's conversion ratio is lower than every brand above it in the benchmark.

The second gap is platform absence. Copilot produced 1 mention of Sun Bum across 61 observations and no top-three or rank-one placement. ChatGPT produced 3 valid recommendations and a 1.54% top-three rate, well below the brand's AI Mode performance. Gemini produced 4 valid recommendations but a 0.00% top-three rate, meaning Gemini names Sun Bum without placing the brand in the shortlist.

The third gap is competitive displacement. CeraVe holds 82.70% top-three rate and 53.61% rank-one rate in the same qualified set. Neutrogena holds 56.65% top-three rate. Cetaphil holds 55.70% top-three rate. Sun Bum holds 1.90% top-three rate. The brand is not competing for the same recommendation slots as the category leaders in most qualified answers.

The fourth gap is cluster coverage. Sun Bum has no qualified observations in the comparison or pricing clusters. The benchmark cannot show whether Sun Bum wins or loses head-to-head prompts, and it cannot show how the brand is positioned on value. Those commercial questions remain open.

Biggest Opportunity

Questions This Section Answers

• What prompts in the discovery and evaluation cluster could move Sun Bum into the shortlist?
• What evidence does Sun Bum need to convert mentions into top-three placements?

Sun Bum's biggest opportunity is to convert existing presence into top-three placement in the discovery and evaluation cluster. The brand is already named in 6.08% of qualified answers and earns 25 valid recommendations. The gap is not awareness inside AI systems. The gap is shortlist position.

The prompts driving this cluster include high-intent discovery questions such as "What are the top 10 best skincare brands?", "What soap is best for rosacea?", "What body wash is good for Accutane?", and "What do dermatologists recommend for facial cleanser?" Sun Bum already appears in some of these answers. The opportunity is to appear in the first three positions more often, and to appear in the answers where the brand is currently absent.

This is a recommendation-readiness problem, not a visibility problem. The brand needs its product-level facts, dermatologist and ingredient evidence, and retailer and editorial source footprint aligned so that AI systems have a clear, retrievable reason to place Sun Bum in the shortlist rather than mention it in passing.

Competitive Landscape

Questions This Section Answers

• How does Sun Bum's top-three rate compare to CeraVe, Neutrogena, and Cetaphil?
• Where does Sun Bum's average recommended rank land among the eight tracked body care brands?

CeraVe holds dominant recommendation power in the body care category, with Neutrogena and Cetaphil forming a clear second tier. Sun Bum sits in the low single digits, alongside Origins and Kopari Beauty, well below the brands that consistently earn shortlist placement.

Average recommended rank covers rank-eligible recommendations only.

Sun Bum ranks fifth of eight tracked brands on top-three rate and fifth on rank-one rate. The brand's average recommended rank of 3.61 sits behind CeraVe, Cetaphil, and Neutrogena, and slightly behind Kiehl's at 3.27, meaning Sun Bum's placements, while less frequent, land toward the middle of the recommendation set rather than the top. The table shows a brand with real but narrow recommendation-stage strength, sitting well below the three brands that dominate shortlist placement.

Prompt Evidence

Questions This Section Answers

• Which specific prompts show Sun Bum appearing but not placing in AI recommendations?
• On which prompt did Sun Bum earn its strongest platform result?

AI Mode / Best Body Care Brands Discovery & Evaluation Prompt: "What are the top 10 best skincare brands?" Result: Sun Bum earned a valid recommendation and contributed to the brand's 11 AI Mode recommendations, the strongest platform result for the brand.

ChatGPT / Best Body Care Brands Discovery & Evaluation Prompt: "What soap is best for rosacea?" Result: Sun Bum received a valid recommendation but did not place in the top three, consistent with the brand's 1.54% ChatGPT top-three rate.

Copilot / Best Body Care Brands Discovery & Evaluation Prompt: "What body wash is good for Accutane?" Result: Sun Bum appeared once across all Copilot observations with no top-three or rank-one placement, reflecting the brand's near-absence on this platform.

Gemini / Best Body Care Brands Discovery & Evaluation Prompt: "What do dermatologists recommend for facial cleanser?" Result: Sun Bum received a valid recommendation but no top-three placement, consistent with the brand's 0.00% Gemini top-three rate.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map every qualified prompt where Sun Bum appears, where it is absent, and where it is mentioned but not shortlisted, across all six tracked platforms.

Phase 2: Recommendation Readiness Plan Identify the product-level facts, dermatologist evidence, and ingredient claims that AI systems need in order to place Sun Bum in the top three rather than mention it in passing.

Phase 3: Owned Answer Layer Buildout Strengthen Sun Bum's owned pages so that high-intent discovery prompts have a clear, retrievable, brand-controlled answer to draw from.

Phase 4: Citation / Authority Layer Development Align the editorial, retailer, and dermatologist source footprint so that AI systems encounter consistent, citable evidence for Sun Bum in the prompts where the brand is currently absent or under-placed.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track presence, valid recommendation coverage, top-three rate, rank-one rate, and sentiment month over month, with platform-level breakdowns for AI Mode, AI Overviews, ChatGPT, Gemini, Perplexity, and Copilot.

Why This Matters

Questions This Section Answers

• Why is AI presence alone not enough for Sun Bum to compete for shortlist placement?
• What layers does Sun Bum need to align to convert existing presence into recommendations?

AI presence alone is not enough. Sun Bum is already named in 6.08% of qualified body care answers, but it converts that presence into a valid recommendation only 4.75% of the time and into a top-three placement only 1.90% of the time. A buyer asking an AI system for the best body care brand is far more likely to see CeraVe, Neutrogena, or Cetaphil in the shortlist than Sun Bum, even when Sun Bum is mentioned somewhere in the answer.

The next move is targeted correction of the prompt, page, and citation layers. Sun Bum does not need to rebuild its category presence. The brand needs its existing presence to convert into shortlist placement, and that requires aligning the product facts, owned pages, and external sources that AI systems retrieve when forming recommendations in the discovery and evaluation cluster.

Core Metrics

Sentiment Score

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

For Sun Bum in October 2026, that is (25 × 1 + 7 × 0 + 0 × -1) / 32, which equals 0.7812.

This matters because unclassified mention counts are misleading. A brand can appear frequently in AI answers and still be framed as a comparison anchor, a cautionary example, or a neutral reference that never becomes a recommendation. 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, and counting all mentions as wins is bad measurement.

Sun Bum's sentiment score of 0.7812 is positive but lower than every brand above it in the benchmark. CeraVe records 0.9564, Cetaphil 0.9483, Neutrogena 0.9395, and Kiehl's 0.9124. Sun Bum's 7 neutral mentions out of 32 total mentions pull the score down relative to the category leaders. Classified sentiment is required before interpreting AI visibility, and for Sun Bum the classification shows a brand that is framed positively but not yet framed as a first-choice recommendation.

Sentiment by Platform

Questions This Section Answers

• Which platforms frame Sun Bum positively but do not recommend it?
• How does Sun Bum's sentiment vary across AI Mode, ChatGPT, and Copilot?

Methodology

1. Report orientation: this is a benchmark-based AI Visibility Company Market Strategy Report for Sun Bum in the Body Care Brands vertical, built from the LLM Authority Index AI Visibility Market Discovery Index and the associated October 2026 metrics aggregation.
2. Reporting window: October 2026, with July 2026 baseline comparisons where the public benchmark provides them.
3. Platforms tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Mode, and AI Overviews, the six canonical AI surface families with at least one qualified observation in the reporting month.
4. Observation count: 526 qualified observations in October 2026, drawn from a raw collection of 800 prompt-surface observations and 704 unique questions.
5. Competitor universe: Billie, CeraVe, Cetaphil, Kiehl's, Kopari Beauty, Neutrogena, Origins, and Sun Bum, the eight brands tracked in the public benchmark.
6. Public clusters used: Best Body Care Brands Discovery & Evaluation (consideration stage, 526 qualified observations), Body Care Brand Comparisons & Alternatives (evaluation stage, no qualified observations), and Body Care Brand Pricing & Value (decision stage, no qualified observations).
7. Stage 0 role: the raw collection stage produced 800 prompt-surface observations, of which 601 were relevant and 199 were filtered as irrelevant, leaving 526 qualified observations for the public metrics.
8. Definition of a mention: any appearance of Sun Bum in an AI-generated answer within the qualified observation set, regardless of whether the brand is recommended.
9. Definition of a valid recommendation: an observation in which Sun Bum receives a positive valid recommendation with a rank position between 1 and 10, as marked by the benchmark's recommendation logic.
10. Ranking interpretation: top-three rate measures the share of qualified observations where Sun Bum appears in the first three recommendation positions. Rank-one rate measures the share where Sun Bum is the first recommendation. Average recommended rank covers rank-eligible recommendations only.
11. Sentiment classification: each mention is classified as positive, neutral, or negative, and the net sentiment score is calculated as (positive × 1 + neutral × 0 + negative × -1) divided by total mentions.
12. Limitations: the public benchmark measures brand recommendation discovery and does not yet contain qualified observations in the pricing or comparison clusters. It does not measure market share, attributable sales, organic-search ranking, social mention volume, or causality from a metric movement alone. Source presence is evidence about the information environment and is not automatically proof that a source caused a recommendation. Brands including Sun Bum carry small absolute counts, and percentage movements should be read with that context in mind.

See How AI Is Recommending Your Brand

The public benchmark shows where Sun Bum is winning and losing in AI-generated body care recommendations. A company-level AI visibility audit shows why. It maps the prompts Sun Bum wins and loses, the competitors that take the top slot when Sun Bum does not, the attributes AI systems associate with the brand, and the external sources shaping those answers into a prioritized visibility strategy.