Brickell Men’s Products is the self-described “original premium natural & organic skincare company for men since 2014, trusted by over one million men worldwide.” The brand was built on a clean idea: take the natural-ingredient skincare playbook that wins with women and rebuild it for men. It works at the cash register. It does not work in AI search.
We ran 12 natural-skincare discovery prompts across ChatGPT, Gemini, Perplexity, Claude, and Grok on May 31, 2026. Brickell scored a GeoScore of 25 with a 15 percent mention rate (9 of 60 responses cited the brand). Eminence Organic Skin Care, a brand that does not target men at all, beat them at 16.7 percent (10 of 60). Ursa Major, Credo Beauty, Cultivate Apothecary, and Jackfir round out the leaderboard. Half of the winners are women’s or unisex brands.
Methodology note: the prompt drift problem
The Citelix scan was set up to test “Best anti-aging cream for men in their 30s” specifically. Pro tier ran the default 12-prompt skincare bundle for the vertical instead. Every prompt is still a high-intent men’s skincare discovery query (no brand name in any of them, all asking AI to recommend), so the data is valid for what it measures. The chosen single prompt’s exact rank is not directly visible. The 12-prompt sample is more representative of how Brickell actually performs in the category than one prompt would have been.
What the data shows
Brickell is mentioned in 9 of 60 AI responses. 6 of those 9 are on Gemini and Claude. ChatGPT, Perplexity, and Grok each cite Brickell once across 12 prompts.
Per-platform breakdown
- Gemini: 3 of 12 prompts (25 percent)
- Claude: 3 of 12 prompts (25 percent)
- ChatGPT: 1 of 12 prompts (8.3 percent)
- Perplexity: 1 of 12 prompts (8.3 percent)
- Grok: 1 of 12 prompts (8.3 percent)
Share of voice across the men’s-skincare category
- Eminence Organic Skin Care: 16.7 percent (the winner, sells primarily to women)
- Brickell Men’s Products: 15 percent
- Ursa Major: 10 percent (unisex)
- Credo Beauty: 8.3 percent (multi-brand retailer)
- Cultivate Apothecary: 8.3 percent
- Jackfir: 6.7 percent
Three of the top six leaders do not sell exclusively to men. The category for AI search is “natural skincare,” not “men’s skincare.” Brickell’s gender framing is a positioning advantage in DTC and a positioning irrelevance in AI search.
Why Brickell wins on Gemini and Claude but loses on ChatGPT, Perplexity, and Grok
Gemini and Claude weight ingredient depth and structured product information. Brickell’s product pages list active ingredients, certifications (vegan, cruelty-free), and use-case framing that maps to Gemini and Claude’s preferred answer shape. That earns 6 of the 9 citations.
ChatGPT, Perplexity, and Grok weight off-site review density, listing breadth, and structured comparison data. Brickell shows up once on each. Eminence has product reviews scraped from 12 retailer sites, multiple expert-quote citations in beauty press, and FAQ schema on its hero pages. Brickell has product reviews on its own site only. That is the gap.
What Brickell is missing
The Citelix scan surfaced six concrete actions. We grouped them by ship-time.
Ship in a day
- Add alt text to 257 product images. 257 product images on brickellmensproducts.com have no alt attribute. ChatGPT, Perplexity, and Grok use image alt text as a structured signal for ingredient and use-case matching. Eminence has alt text on every product image. Drew, this is an afternoon’s work in Shopify admin.
- Schema triple-stack on hero product pages. The Citelix data flags Brickell’s schema as basic. The triple-stack (Article, ItemList, FAQPage) is what Credo and Eminence implement. Edit product.liquid once, ship it across the catalog.
- Comparison tables on the top 5 product pages. Citelix’s internal data shows a citation rate lift of up to 47 percent for pages with structured HTML comparison tables. Eminence does this. Brickell does not. Start with the Rejuvenating Anti-Aging Gel Moisturizer (Brickell’s hero SKU).
Ship in a quarter
- Stat-driven product descriptions. Brickell’s descriptions read as benefit copy. The brands that win on ChatGPT and Perplexity describe products with percentages, effectiveness rates, and ingredient origin specificity. Replace “natural extracts” with “12 percent stabilized vitamin C from acerola cherry.”
- Launch a blog with expert quotes. Josh Rosebrook gets a 1.7 percent citation rate primarily because Grok pulls from his blog’s expert-interview format. Brickell has no blog. A weekly post with a quoted dermatologist or formulator adds the citable-source layer the brand currently lacks.
- Multi-platform brand presence. Brickell has no YouTube channel of demos. It is not on homewisereview.com or comparable review aggregators. It has no significant Reddit thread presence in men’s grooming subs. Eminence shows up on every one of those surfaces. Closing that gap takes a quarter of consistent outreach.
3 fixes Brickell could ship this week
If Brickell’s team had one week, here’s the order.
Fix 1: Add alt text to all 257 product images
Why this matters: ChatGPT, Perplexity, and Grok each cite Brickell on 1 of 12 prompts. The single biggest gap on those three platforms is structured image data.
How to do it: Bulk-edit through Shopify admin. Use the product title + key ingredient + use case as the alt text formula. “Brickell Rejuvenating Anti-Aging Gel Moisturizer with hyaluronic acid for men with combination skin.” Apply across all 257.
Estimated time: One afternoon for the first 100, batched updates for the rest the next day.
Fix 2: Implement schema triple-stack on the top 10 SKUs
Why this matters: The triple-stack (Article, ItemList, FAQPage) is the structured-data shape AI search engines parse most reliably. Brickell currently runs basic Product schema only.
How to do it: In product.liquid, add an Article block for the product story (origin, formulator), an ItemList block for ingredient ordering, and an FAQPage block with 5 questions a buyer would actually ask. Ship to the top 10 SKUs first by traffic, then catalog-wide.
Estimated time: Half a day of Liquid template work plus a day per FAQ batch.
Fix 3: Add a structured comparison table to the Rejuvenating Anti-Aging Gel Moisturizer page
Why this matters: Comparison tables tied to use-case prompts (sensitive skin, oily skin, anti-aging) are what gets cited verbatim by ChatGPT when a user asks “best moisturizer for X.”
How to do it: Add a section to the product page that compares the Anti-Aging Gel Moisturizer against Brickell’s other moisturizers (Daily Essential Face Moisturizer, Restoring Eye Cream) on use case, skin type, key actives, and price. Mark it up as HTML with proper thead/tbody/th structure.
Estimated time: Half a day for one product page, then a template Brickell can reuse on every other hero SKU.
The 30-second version
If Brickell ships one fix this week: add alt text to the 257 product images. That move alone closes the gap with Eminence on ChatGPT, Perplexity, and Grok. The schema and comparison-table work compounds on top of that.
Why this matters beyond Brickell
Brickell’s situation is the test case for every men’s-skincare brand running natural-ingredient positioning. The brand is fine. The product is fine. The marketing is fine. The structured data on the site is not fine, and that is the only thing AI search engines read.
The “for men” framing is not the problem. Brickell can keep it. But the AI search engines do not care about gender targeting. They care about the same six structured signals every brand has access to. Brickell has 5 of 6 still unbuilt.
Methodology
We ran 12 men’s-skincare discovery prompts in Citelix’s pro-tier scanner on 2026-05-31, across ChatGPT, Gemini, Perplexity, Claude, and Grok. Each prompt was discovery-style (no brand name). The 60 model responses were logged and the citation rate per brand was computed from per-response visibility data. This teardown is independent and not sponsored by either brand.
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