Neutrogena AI Market Strategy Report - Sunscreen Brands

Answer Capsule

Neutrogena holds strong AI visibility in the Sunscreen Brands category but converts that visibility into recommendations at a materially lower rate than the category leaders. In September 2026, Neutrogena recorded a raw mention presence rate of 78.54% across 522 qualified observations, yet its valid recommendation coverage was 66.09%, a gap of 12.45 percentage points between being mentioned and being recommended. The brand ranks fourth in the category by recommendation coverage, behind La Roche-Posay (83.72%), EltaMD (78.35%), and CeraVe (66.48%). Its clearest weakness is first-position recommendation share at 3.45%, well behind EltaMD at 30.65% and La Roche-Posay at 15.52%. Its clearest opportunity is converting its large volume of neutral mentions and mid-shortlist placements into stronger recommendation positions.

Who This Report Is For

This report is for Neutrogena brand, ecommerce, and marketing leaders who need to understand how AI and search surfaces present and recommend the brand in the sunscreen category, and where the gap between visibility and recommendation is costing the brand buyer shortlist positions.

Report Card

Executive Summary

Neutrogena is visible but under-recommended in the Sunscreen Brands category. The September 2026 LLM Authority Index benchmark shows the brand appearing in 78.54% of qualified AI responses, but receiving a valid recommendation in only 66.09% of them. That 12.45-point gap means that in roughly one in eight qualified observations where Neutrogena is mentioned, it does not earn a place on the recommendation shortlist.

The brand's recommendation placement profile is the sharper concern. Neutrogena appears in the top three recommended positions in 18.97% of qualified observations and holds the first recommendation position in only 3.45%. By comparison, EltaMD holds the first position in 30.65% of observations and La Roche-Posay in 15.52%. Neutrogena's average recommended rank is 3.78, meaning that when it does earn a recommendation, it typically sits in the middle of the shortlist rather than at the top.

The strongest platform signal for Neutrogena is ChatGPT, where the brand recorded a valid recommendation coverage of 83.10% and a rank-one rate of 2.82%. The brand also performs well on Copilot with 76.47% recommendation coverage. On Perplexity, Neutrogena recorded 68.18% recommendation coverage with a rank-one rate of 6.06%. These platforms represent the brand's strongest recommendation environments.

The clearest platform gap is Gemini, where Neutrogena recorded a valid recommendation coverage of 58.73% and a rank-one rate of 1.59%. On Google AI Mode, the brand recorded 62.20% recommendation coverage with a 4.72% rank-one rate. These surfaces show the brand present but less frequently recommended than on ChatGPT or Copilot.

Neutrogena's sentiment profile is positive, with a net sentiment score of 0.9366 across 410 mentions. The brand recorded 385 positive mentions, 24 neutral mentions, and 1 negative mention. This indicates that when AI systems discuss Neutrogena, the framing is overwhelmingly favorable. The challenge is not perception but placement.

The category itself showed contraction in September 2026. The benchmark recorded 522 qualified observations, down from 557 in July 2026, and the recommendation-shaped answer share fell from 75.0% to 69.0%. All nine tracked brands declined or held flat against their July baselines. Neutrogena's 2.8-point decline from 68.9% to 66.1% was within normal month-to-month variation, but the broader category trend toward fewer recommendation-heavy answers means the competition for shortlist positions is intensifying.

What Neutrogena Is Winning

Questions This Section Answers

• Which platforms give Neutrogena its strongest sunscreen recommendation coverage?
• How clean is Neutrogena's sentiment profile in AI answers about sunscreen?

Neutrogena's strongest evidence-backed win is its ChatGPT performance. On that platform, the brand recorded a valid recommendation coverage of 83.10%, the highest among all six tracked platforms for Neutrogena. The brand also recorded 59 valid recommendations on ChatGPT, its highest count across platforms.

The brand's second strongest platform is Copilot, where it recorded a 76.47% valid recommendation coverage and a rank-one rate of 4.41%. This places Neutrogena ahead of CeraVe on Copilot for recommendation coverage, though CeraVe holds a higher rank-one rate on that platform.

Neutrogena also shows a positive sentiment profile with no meaningful negative framing. The brand recorded only 1 negative mention across 410 total mentions, yielding a net sentiment score of 0.9366. This indicates that AI systems do not surface cautionary or negative framing about Neutrogena in the sunscreen category.

The brand maintains a strong raw mention presence rate of 78.54%, placing it fourth in the category behind La Roche-Posay (95.59%), EltaMD (85.06%), and CeraVe (79.12%). This presence level means Neutrogena is consistently part of the AI-generated answer set for sunscreen queries.

Where Neutrogena Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why does Neutrogena's presence-to-recommendation gap matter more than its visibility?
• Where does Neutrogena lose recommendation position compared with EltaMD and La Roche-Posay?
• Which platforms show the worst under-recommendation for Neutrogena?

Neutrogena's clearest gap is recommendation conversion at the top of the shortlist. The brand holds the first recommendation position in only 3.45% of qualified observations, compared to EltaMD at 30.65% and La Roche-Posay at 15.52%. This means that when AI systems are asked which sunscreen brand to choose, Neutrogena is rarely the first option surfaced.

The brand's top-three recommendation rate of 18.97% is also materially behind the category leaders. EltaMD appears in the top three in 53.64% of observations, La Roche-Posay in 51.72%, and Supergoop in 29.89%. Neutrogena's 18.97% places it fifth in the category, behind CeraVe at 25.86%. This indicates that even when Neutrogena earns a recommendation, it typically lands in the fourth or fifth position rather than the top three.

The gap between presence and recommendation is the defining pattern. Neutrogena appears in 78.54% of qualified observations but receives a valid recommendation in only 66.09%. That 12.45-point gap is wider than La Roche-Posay's 11.87-point gap (95.59% presence, 83.72% coverage) and EltaMD's 6.71-point gap (85.06% presence, 78.35% coverage). The brand is being mentioned in contexts where it is not being recommended.

On Gemini, Neutrogena recorded a valid recommendation coverage of 58.73%, the lowest among its platform results. The brand's rank-one rate on Gemini was 1.59%, meaning it almost never appears as the first recommendation on that surface. This represents a specific platform gap where the brand is present but not converting presence into recommendation leadership.

The brand also shows weakness on Google AI Overviews, where it recorded a 57.48% valid recommendation coverage and a rank-one rate of 1.57%. These Google surfaces represent a combined gap where Neutrogena is visible but under-recommended relative to its ChatGPT and Copilot performance.

Biggest Opportunity

Questions This Section Answers

• What would it take for Neutrogena to convert neutral mentions into top-three recommendations?
• Why is ChatGPT the template for closing Neutrogena's recommendation gap on other platforms?

Neutrogena's biggest opportunity is converting its high volume of neutral mentions and mid-shortlist placements into top-three and first-position recommendations. The brand recorded 24 neutral mentions in September 2026, the second-highest neutral count in the category behind CeraVe's 26. These neutral mentions represent observations where Neutrogena appears in AI answers but without a clear recommendation signal.

The path from reference to recommendation runs through the brand's owned answer layer and citation architecture. Neutrogena's 78.54% presence rate means AI systems already retrieve and synthesize content about the brand. The opportunity is ensuring that the content being retrieved positions Neutrogena as a primary recommendation rather than a listed option.

The brand's strongest platform, ChatGPT, offers a template. On ChatGPT, Neutrogena recorded 83.10% recommendation coverage, meaning the brand converts presence into recommendation at a much higher rate on that platform than on Gemini (58.73%) or Google AI Overviews (57.48%). Understanding what content and citation patterns drive that ChatGPT performance, and replicating them across other surfaces, is the clearest path to closing the recommendation gap.

Competitive Landscape

Questions This Section Answers

• How does Neutrogena's rank-one rate and top-three rate compare with the sunscreen category leaders?
• Where does Neutrogena sit in average recommended rank relative to other sunscreen brands?

EltaMD and La Roche-Posay hold the strongest recommendation-stage positions in the Sunscreen Brands category, with EltaMD leading on first-position recommendations and La Roche-Posay leading on overall recommendation coverage. Neutrogena sits in the second tier of recommendation strength, behind CeraVe on top-three rate but ahead of Supergoop on overall coverage.

Average recommended rank covers rank-eligible recommendations only.

Neutrogena's position in the table shows a brand with meaningful recommendation presence but limited top-of-shortlist strength. Its 18.97% top-three rate places it fifth in the category, and its 3.45% rank-one rate places it fifth as well. The brand's average recommended rank of 3.78 is higher (worse) than the category leaders but better than Cetaphil, Sun Bum, Vichy, and Kopari Beauty.

Prompt Evidence

ChatGPT / Brand Recommendation Prompt: "Which is the best sunscreen in the face?" Result: Neutrogena was mentioned and received a valid recommendation, contributing to its 83.10% recommendation coverage on ChatGPT.

Gemini / Brand Recommendation Prompt: "What is the best mineral sunscreen for rosacea?" Result: Neutrogena appeared in the answer but did not receive a top-three recommendation, consistent with its 58.73% recommendation coverage on Gemini.

Google AI Mode / Brand Recommendation Prompt: "Which sunscreen is best for combination skin?" Result: Neutrogena was present but placed outside the top three recommended positions, reflecting its 62.20% recommendation coverage on Google AI Mode.

Perplexity / Brand Recommendation Prompt: "tinted sunscreen for face" Result: Neutrogena received a valid recommendation with a rank-one placement, contributing to its 6.06% rank-one rate on Perplexity.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map Neutrogena's prompt-level presence, recommendation coverage, and placement across all six tracked platforms to identify the specific question types and surfaces where the brand loses recommendation position.

Phase 2: Recommendation Readiness Plan Prioritize the clusters and platforms where Neutrogena's presence-to-recommendation gap is widest, focusing on Gemini and Google AI Overviews where the brand underperforms its ChatGPT baseline.

Phase 3: Owned Answer Layer Buildout Develop and optimize owned content that directly addresses the high-intent prompts where Neutrogena is mentioned but not recommended, with clear positioning that supports top-three placement.

Phase 4: Citation / Authority Layer Development Strengthen the public evidence layer that AI systems retrieve when forming sunscreen recommendations, ensuring that authoritative sources position Neutrogena as a primary option.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Neutrogena's recommendation coverage, top-three rate, and rank-one rate month over month to measure progress against the category leaders and validate the impact of remediation efforts.

Why This Matters

AI presence alone is not enough. Neutrogena appears in 78.54% of qualified AI responses about sunscreen, but it earns a valid recommendation in only 66.09% of them and a first-position recommendation in just 3.45%. In buyer-choice terms, this means Neutrogena is frequently discussed but rarely chosen first when AI systems form a shortlist.

The next move is targeted correction of the prompt, page, and citation layers. The brand's strong sentiment profile (0.9366) and high presence rate indicate that AI systems have positive material about Neutrogena to work with. The gap is in how that material is structured and positioned. Closing the recommendation gap requires ensuring that the content AI systems retrieve and synthesize positions Neutrogena as a primary recommendation, not just a listed option.

Core Metrics

Sentiment Score

Questions This Section Answers

• Why don't Neutrogena's 410 sunscreen mentions all count as wins?
• How many of Neutrogena's mentions are neutral references rather than positive recommendations?

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

For Neutrogena in September 2026: (385 × 1 + 24 × 0 + 1 × -1) / 410 = 384 / 410 = 0.9366

This score matters because unclassified mention counts are misleading. A brand with 410 mentions could appear to be in strong position, but if those mentions are neutral references rather than positive recommendations, the brand is not actually winning buyer shortlists. 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. Neutrogena's 24 neutral mentions represent observations where the brand appears in AI answers but without a clear recommendation signal. Counting all mentions as wins would obscure the fact that Neutrogena converts only 66.09% of its presence into valid recommendations.

Classified sentiment is required before interpreting AI visibility. Neutrogena's 0.9366 sentiment score indicates that when AI systems discuss the brand, the framing is overwhelmingly positive. The challenge is not perception but placement: ensuring that positive framing translates into top-three and first-position recommendations.

Sentiment by Platform

Questions This Section Answers

• Which platforms show Neutrogena's sunscreen mentions as most positive?
• Where does Neutrogena's sentiment stay strong while recommendation conversion lags?

Methodology

1. This report is a benchmark-based analysis of Neutrogena's AI visibility and recommendation performance in the Sunscreen Brands category, based on the LLM Authority Index AI Market Discovery Index for September 2026.
2. The reporting window is September 2026, with comparison data from July 2026 and August 2026 where available.
3. Six AI and search platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
4. The September 2026 benchmark analyzed 522 qualified observations from an initial collection of 800 prompt-surface observations across 667 unique questions.
5. The competitor universe includes nine tracked brands: CeraVe, Cetaphil, EltaMD, Kopari Beauty, La Roche-Posay, Neutrogena, Sun Bum, Supergoop, and Vichy.
6. All 522 qualified observations fell into the Brand Recommendation cluster (C01), which covers discovery and consideration queries. No qualified observations were recorded for Pricing & Value or Multi-Brand Comparison clusters in the public benchmark.
7. Stage 0 extraction retained the query, AI 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 a qualified AI response, regardless of whether the brand is recommended.
9. A valid recommendation is defined as an observation where the brand receives a positive recommendation with a rank position of 1 through 10. Neutral, cautionary, or listed-only mentions are not counted as valid recommendations.
10. Brand-level percentages use the 522 qualified observations as the public denominator, not the 800 raw prompt-surface collections.
11. The benchmark does not measure market share, sales attribution, organic search ranking, social media engagement, or causality from metric movements alone.
12. Neutrogena's September 2026 results showed a 2.8-point decline in valid recommendation coverage from July 2026 (68.9% to 66.1%), which remained within normal month-to-month variation.

See Where AI Is Recommending Your Brand

The public benchmark shows where Neutrogena stands in AI-generated sunscreen recommendations. A company-level AI visibility audit maps the specific prompts, competitors, platforms, and citation sources driving those results, turning the category standings into a prioritized action plan for closing the recommendation gap.