Category AI Visibility Report
Card Holders AI Visibility Report 2026: Top Brands & Buyer Topics in AI Search
Data updated 2026-08-27 · 30-day window · ChatGPT · Google AI Mode · Google AI Overviews
≈7,603
Est. AI queries / month
13
Buyer topics monitored
10
Brands on the AI shelf
Key insights
- Over the last 30 days, GEOly monitored 13 buyer topics in Card Holders across ChatGPT, Google AI Mode, Google AI Overviews — an estimated 7,603 AI queries per month.
- UltraPro leads the AI shelf with 7.2% of brand mentions, followed by VULKIT (6.7%) and Ridge (5.9%). The top three hold 19.8% combined — a shelf that has not consolidated yet, leaving a clear window for challengers.
- The highest-demand topic is “metal card holders” (top keyword “metal card holders”, ~1,600 searches/mo).
- AI answers lean on reddit.com most (38.6% of citations) — earning presence on these sources is the shortest path to being recommended.
Brands AI recommends most
Share of brand mentions across AI answers in the last 30 days (Share of Model).
| # | Brand | AI mentions | Share |
|---|---|---|---|
| 1 | UltraPro | 432 | 7.2% |
| 2 | VULKIT | 404 | 6.7% |
| 3 | Ridge | 357 | 5.9% |
| 4 | Secrid | 314 | 5.2% |
| 5 | Quince | 283 | 4.7% |
| 6 | Leatherology | 211 | 3.5% |
| 7 | BCW Supplies | 200 | 3.3% |
| 8 | Bellroy | 148 | 2.5% |
| 9 | Ekster | 134 | 2.2% |
| 10 | Peak Design | 112 | 1.9% |
What shoppers ask AI
Buyer topics monitored in this category, with estimated monthly AI queries and the top Google keyword behind each topic.
| Topic | Est. AI queries / mo | Top keyword | Search volume / mo |
|---|---|---|---|
| metal card holders | ≈2,779 | metal card holders | 1,600 |
| card holders with money clips | ≈2,754 | card holders with money clip | 2,400 |
| plastic card holders | ≈2,070 | card holders plastic | 2,400 |
| magnetic card holders | — | magnetic card holders | 4,400 |
| credit card holders | — | card wallet | 18,100 |
| gift card holders | — | card holders for gift cards | 8,100 |
| card holders for trading cards | — | sport card holders | 1,600 |
| ID card holders | — | green card holders | 12,100 |
| keychain card holders | — | key ring card holders | 2,400 |
| RFID blocking card holders | — | rfid blocking card holders | 2,900 |
| card holders for phone cases | — | card holders for phone cases | 12,100 |
| business card holders | — | card holders for business cards | 22,200 |
| slim card holders | — | slim card holders | 3,600 |
Sources AI cites in this category
Root domains AI engines cited most when answering category queries in the last 30 days.
| Domain | Citations | Share |
|---|---|---|
| reddit.com | 231 | 38.6% |
| ultrapro.com | 30 | 5% |
| specialistid.com | 30 | 5% |
| slabandshelf.com | 23 | 3.8% |
| thornberrymedia.com | 22 | 3.7% |
| thegradingreport.com | 21 | 3.5% |
| packhacker.com | 18 | 3% |
| travelandleisure.com | 18 | 3% |
Related category reports
FAQ
Which brands do AI assistants recommend most for card holders?
Over the last 30 days the top brands by AI mention share are: UltraPro (7.2%), VULKIT (6.7%), Ridge (5.9%), Secrid (5.2%), Quince (4.7%). Data from GEOly's continuous monitoring across ChatGPT, Google AI Mode, Google AI Overviews.
How many people ask AI about card holders?
GEOly estimates ~7,603 AI queries per month in this category across 13 buyer topics, led by “metal card holders”.
Which sources do AI engines cite for card holders?
The most-cited domains are: reddit.com, ultrapro.com, specialistid.com, slabandshelf.com, thornberrymedia.com. Building brand presence on these sources is the most direct way to win AI recommendations.
Methodology
GEOly continuously runs category buyer prompts across ChatGPT, Google AI Mode, Google AI Overviews and records which brands are mentioned and which sources are cited. Figures aggregate a 30-day window; AI query volumes are modeled estimates from keyword demand and AI-adoption share. Data: GEOly MCP Server, updated 2026-08-27.
See your brand inside this category
GEOly tracks how ChatGPT, Google AI Mode and Google AI Overviews mention, rank and cite your brand against every competitor above — and what to fix to win the AI shelf.