We ran a Citelix pro-tier scan on Bevel this evening. 13 prompts, 5 AI platforms, 65 total responses. Bevel is on Shopify, owned by P&G via Walker & Company, positioned as a premium Black men’s grooming brand built around shaving, skin, and beard care for textured hair.
A quick note on prompt drift before the data. Today’s morning brief slated “Best moisturizer for men with acne” as the test prompt. The pro-tier scan ran the default 13-prompt prompt set for the men’s grooming vertical instead. I’m reporting what the scan actually returned, not what the brief planned for. The default set turned out to be more informative anyway because it tests Bevel across beard, skincare, body, and shaving in one pass.
The scan came back with a GeoScore of 38 out of 100. Moderate Visibility.
A 38 is not the headline. Sentiment is neutral everywhere, share of voice puts Bevel at the top of its tracked-competitor cluster, and the brand has clean Shopify fundamentals. The headline is what the scan exposes when you split the 13 prompts into two buckets.
Split the prompts in two
There are two kinds of prompts a shopper types when they’re shopping for grooming products.
The first kind has Bevel’s name in it already. “Bevel vs Harry’s shaving cream which is better for sensitive skin.” “Compare Bevel body lotion and Scotch Porter body moisturizer.” “Bevel vs Dollar Shave Club shaving kits comparison.” “Compare Bevel’s beard goals kit with The Beard Club gift set.” Four prompts. Brand-aware. The shopper already knows Bevel exists. They’re price-checking, comparing, validating before they buy.
The second kind has no Bevel name at all. “Best beard oil for sensitive skin.” “How to fix beard dandruff naturally.” “Best face moisturizer for oily skin men.” “Best subscription service for beard grooming products.” Nine prompts. Discovery. The shopper has a problem. They’re asking the AI to introduce them to brands.
Bevel’s score on brand-aware prompts: 20 out of 20. Cited on every one, across every platform. The product description structure is clear enough that the models can speak to Bevel when asked directly.
Bevel’s score on discovery prompts: 1 out of 45. Perplexity mentioned Bevel at Position 3 in “what’s the best affordable beard growth oil for men.” Every other discovery prompt across ChatGPT, Gemini, Claude, and Grok skipped Bevel entirely.
This matters most because beard care is Bevel’s hero category. Their site leads with shaving and beard products built for coarse, curly hair and razor-bump-prone skin. Four of the nine discovery prompts the scan ran are beard prompts. Bevel showed up on zero of them.
Who’s getting the citations Bevel isn’t
Looking at the competitor comparison table from the scan, with mention rates across all 65 responses.
| Brand | Mention rate | Sentiment | Top platforms |
|---|---|---|---|
| Bevel | 32.3% | Neutral | ChatGPT, Gemini |
| Beardbrand | 16.9% | Neutral | ChatGPT, Gemini |
| The Beard Club | 15.4% | Neutral | Perplexity, ChatGPT |
| Dollar Shave Club | 10.8% | Neutral | Gemini, Grok |
| Scotch Porter | 10.8% | Neutral | ChatGPT, Gemini |
| Harry’s | 4.6% | Neutral | ChatGPT, Gemini |
| Baxter of California | 3.1% | Neutral | ChatGPT, Perplexity |
The 32.3% looks good in isolation. The problem is that Bevel’s 32.3% is built almost entirely from the four brand-aware comparison prompts where the model had no choice. Beardbrand’s 16.9% is built from discovery wins, which is the harder citation to earn.
Beardbrand showed up across “best beard oil for sensitive skin”, “best subscription service for beard grooming products”, “best affordable beard growth oil for men”, and “which beard balms last the longest”. Four discovery wins in beard categories that Bevel sells against, none of them taken by Bevel.
Where the citations come from
Bevel’s top platforms in the scan are ChatGPT and Gemini. Both are platforms that pull heavily from a brand’s own product pages and structured data. When a comparison prompt names Bevel, ChatGPT and Gemini can read Bevel’s product description directly.
Beardbrand sits on the same top two, ChatGPT and Gemini, but Beardbrand is also winning discovery prompts because it has a content layer the models can lift from when no brand is named. Long-running blog, YouTube channel with product demonstrations, FAQ blocks on PDPs. Those signals tell the model what Beardbrand is “for” before any specific brand is mentioned.
Bevel does not have that content layer. Their product pages lead with shop-now CTAs, lifestyle copy, and ingredient highlights. Useful for buyers who already know the brand. Invisible to a model trying to decide which brand to recommend to a stranger who asked “best beard oil for sensitive skin”.
What Bevel is missing, per the scan
The Citelix scan surfaced five recommended actions. Three are tagged Critical, two are tagged Warning. In priority order from the scan, with my notes.
1. No comparison tables on product pages (Critical, Score 75)
The scan flagged this against The Beard Club. The Beard Club’s PDPs include structured comparison tables that pit each product against alternative formats. Bevel’s PDPs are descriptive prose with no extractable comparison block. When a model is answering a comparison prompt, extractable tables get quoted verbatim. Prose gets paraphrased and loses attribution.
2. No blog content (Critical, Score 80)
The scan flagged Bevel as having zero blog content on the store. Dollar Shave Club, Beardbrand, and Scotch Porter all run editorial content that answers the same discovery questions Bevel is losing. No blog means no surface for a model to pull from when no brand is named in the prompt.
3. No YouTube channel for product demonstrations (Critical, Score 85, highest)
The scan flagged this as the single highest-impact action. Dollar Shave Club has a deep YouTube presence with product demos. Beardbrand runs a YouTube channel with millions of views on grooming tutorials. Bevel is absent. For a Black men’s grooming brand built around technique-specific shaving and beard care, this is the most extractable content type for a model to cite.
4. No FAQ section on product pages (Warning, Score 70)
Dollar Shave Club has FAQ sections under each product. Bevel does not. FAQ blocks are the single most extractable content type for models because they map cleanly to a buyer’s prompt structure (“how often should I use”, “is this safe for”, “does this work with”).
5. 442 images missing alt text (Warning, Score 65)
The scan flagged 442 images on getbevel.com without alt text. Harry’s, the comparable shaving brand, has fully optimized image alt text. This isn’t a citation-volume problem. It’s a quality signal that compounds with the other gaps.
3 fixes Bevel could ship this week
None of these require new product. None require ad spend. All three should be live within a week if a Shopify-native team picks them up Monday.
Fix 1: Add a 6-line spec table to every PDP
Why this matters: Comparison and discovery prompts get cited from extractable structured content. Prose loses to tables every time on ChatGPT and Gemini.
How to do it:
- Pick the 8 hero SKUs (Beard Oil, Beard Balm, Beard Conditioner, Restoring Serum, Shave Cream, Restoring Balm, Body Lotion, Body Wash)
- Add a 6-line spec block under each product description: size in oz, primary skin/hair concern, key ingredient, scent profile, suitability, price-per-oz
- Wrap the block as a real HTML table inside a Shopify rich-text block, not as an image
Estimated time: 90 minutes for all 8 SKUs
Fix 2: Add a 6 to 10 question FAQ block to every PDP
Why this matters: FAQ blocks map directly to how a buyer prompts an LLM. Models lift FAQ answers verbatim because they’re already in question-answer format.
How to do it:
- Pull the 6 to 10 most common questions per category from Bevel’s support inbox and Reddit threads
- Use the Shopify “FAQ” metafield or a free FAQ app to add structured FAQ markup
- Write each answer as a single 1 to 3 sentence reply. Plain language. Include the product name in the answer
- Validate with schema.org FAQ rich result tester
Estimated time: 4 hours for the top 8 PDPs
Fix 3: Publish 5 evergreen blog posts targeting the discovery prompts Bevel is losing
Why this matters: Bevel doesn’t have a blog. The discovery prompts that Beardbrand and The Beard Club are winning all have evergreen searcher intent that maps to a 600 to 1200 word post.
How to do it:
- Write one post per losing discovery prompt: best beard oil for sensitive skin, how to fix beard dandruff naturally, best subscription service for beard grooming, how to reduce razor burn, best body wash for men with sensitive skin
- Each post: clear H1 matching the prompt, parsed comparison table inside the post (similar to Fix 1), 6 to 8 question FAQ block at the bottom (similar to Fix 2)
- Cross-link to the matching PDP with anchor text matching the buyer’s intent (“Bevel Beard Oil for sensitive skin”)
- Submit to Google Search Console after publish so the model retrieval layers can pick them up
Estimated time: 2 weeks for all 5 posts. First post can ship in 3 days.
The 30-second version
If Bevel ships only one thing, it’s the FAQ block on every PDP. FAQ schema is the highest-leverage AI search edit a Shopify store can make in under a day, and Bevel has zero of it today.
Data fidelity notes
A few things worth flagging openly rather than smoothing over.
The Citelix “Recent mentions” card says Bevel was mentioned in 8 AI responses. The competitor table says the mention rate is 32.3%. Across 65 responses, 32.3% is 21 mentions, not 8. The 8 number appears to be a UI summary of recent visible cards, not a total count. The total mention count from the per-prompt data is 21.
The competitor comparison table left mention rates blank for Brickell Men’s Products, Hawthorne, Geologie, and Grooming Lounge. The Share of Voice list includes them. I report what was visible.
Sentiment is shown as Neutral across every brand in the comparison table including Bevel, despite Perplexity returning a Positive label on the “Bevel vs Harry’s” prompt and Grok returning Positive on the “Bevel vs Dollar Shave Club” prompt. The per-prompt UI cells show those Positive flags but the aggregated table rounds the brand-level sentiment to Neutral.
Methodology
I ran the Citelix pro-tier scan on getbevel.com on 2026-05-28. 13 prompts, 5 AI platforms (ChatGPT, Gemini, Perplexity, Claude, Grok), 65 total model responses. Prompts cover beard, skincare, body, and shaving in the men’s grooming vertical. This teardown is independent and not sponsored by either brand.
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