Category AI Visibility Report
Snowboards 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
≈9,794
Est. AI queries / month
15
Buyer topics monitored
10
Brands on the AI shelf
Key insights
- Over the last 30 days, GEOly monitored 15 buyer topics in Snowboards across ChatGPT, Google AI Mode, Google AI Overviews — an estimated 9,794 AI queries per month.
- Jones leads the AI shelf with 13.7% of brand mentions, followed by Burton (13.1%) and Ride (9.9%). The top three hold 36.7% combined — a shelf that has not consolidated yet, leaving a clear window for challengers.
- The highest-demand topic is “Pink snowboards” (top keyword “pink snowboard”, ~2,900 searches/mo).
- AI answers lean on reddit.com most (27.5% 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 | Jones | 1,052 | 13.7% |
| 2 | Burton | 1,005 | 13.1% |
| 3 | Ride | 760 | 9.9% |
| 4 | Capita | 525 | 6.8% |
| 5 | GNU | 431 | 5.6% |
| 6 | Salomon | 404 | 5.3% |
| 7 | Bataleon | 333 | 4.3% |
| 8 | Lib Tech | 314 | 4.1% |
| 9 | Nitro Snowboards | 239 | 3.1% |
| 10 | Nidecker | 230 | 3% |
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 |
|---|---|---|---|
| Pink snowboards | ≈2,582 | pink snowboard | 2,900 |
| Powder snowboards | ≈2,581 | powder snowboard | 2,400 |
| Camber snowboards | ≈2,556 | snowboards camber | 1,900 |
| Youth snowboards | ≈2,075 | burton youth snowboard | 2,400 |
| All mountain snowboards | — | all mountain snowboard | 18,100 |
| Used snowboards | — | used snowboards | 6,600 |
| Women's snowboards | — | snowboards for women | 12,100 |
| Snowboards with bindings | — | snowboards with step in bindings | 6,600 |
| Freestyle snowboards | — | freestyle snowboards | 9,900 |
| Men's snowboards | — | snowboards for men | 5,400 |
| Beginner snowboards | — | beginner snowboards | 4,400 |
| Halfpipe snowboards | — | halfpipe snowboards | 5,400 |
| Freeride snowboards | — | freeride snowboards | 3,600 |
| Custom snowboards | — | custom snowboards | 2,400 |
| Boardercross snowboards | — | boardercross snowboards | 5,400 |
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 | 252 | 27.5% |
| snowboardingprofiles.com | 111 | 12.1% |
| evo.com | 100 | 10.9% |
| burton.com | 50 | 5.5% |
| donek.com | 47 | 5.1% |
| thegoodride.com | 36 | 3.9% |
| outdoorgearlab.com | 35 | 3.8% |
| jonessnowboards.com | 34 | 3.7% |
FAQ
Which brands do AI assistants recommend most for snowboards?
Over the last 30 days the top brands by AI mention share are: Jones (13.7%), Burton (13.1%), Ride (9.9%), Capita (6.8%), GNU (5.6%). Data from GEOly's continuous monitoring across ChatGPT, Google AI Mode, Google AI Overviews.
How many people ask AI about snowboards?
GEOly estimates ~9,794 AI queries per month in this category across 15 buyer topics, led by “Pink snowboards”.
Which sources do AI engines cite for snowboards?
The most-cited domains are: reddit.com, snowboardingprofiles.com, evo.com, burton.com, donek.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.