Category AI Visibility Report
Inline Skates 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
≈2,446
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 Inline Skates across ChatGPT, Google AI Mode, Google AI Overviews — an estimated 2,446 AI queries per month.
- Rollerblade leads the AI shelf with 26.2% of brand mentions, followed by K2 (19.1%) and Powerslide (10.1%). The top three hold 55.4% combined — a concentrated shelf where challengers need a differentiated topic wedge.
- The highest-demand topic is “Urban inline skates” (top keyword “urban inline skates”, ~590 searches/mo).
- AI answers lean on reddit.com most (36.5% 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 | Rollerblade | 1,557 | 26.2% |
| 2 | K2 | 1,137 | 19.1% |
| 3 | Powerslide | 603 | 10.1% |
| 4 | FR Skates | 422 | 7.1% |
| 5 | Bauer | 284 | 4.8% |
| 6 | Razor | 219 | 3.7% |
| 7 | Roces | 191 | 3.2% |
| 8 | PIC Skate | 175 | 2.9% |
| 9 | Jackson | 158 | 2.7% |
| 10 | Bont | 133 | 2.2% |
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 |
|---|---|---|---|
| Urban inline skates | ≈818 | urban inline skates | 590 |
| 3-wheel inline skates | ≈816 | inline skates with 3 wheels | 590 |
| Boot-style inline skates | ≈812 | boot inline skates | 720 |
| Youth inline skates | — | youth inline skates | 590 |
| Inline hockey skates | — | bauer inline skates | 5,400 |
| Best inline skates | — | inline skates best | 880 |
| Men's inline skates | — | mens inline skates | 2,900 |
| Women's inline skates | — | inline skates women | 2,900 |
| Speed inline skates | — | inline speed skates | 2,900 |
| Aggressive inline skates | — | aggressive inline roller skates | 6,600 |
| Figure inline skates | — | inline figure skates | 1,000 |
| Fitness inline skates | — | inline skates for exercise | 6,600 |
| Beginner inline skates | — | beginner inline skates | 8,100 |
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 | 416 | 36.5% |
| inlinewarehouse.com | 117 | 10.3% |
| rollerblade.com | 83 | 7.3% |
| k2skates.com | 60 | 5.3% |
| powerslide.com | 53 | 4.6% |
| icewarehouse.com | 48 | 4.2% |
| locoskates.com | 34 | 3% |
| oneblades.one | 31 | 2.7% |
Related category reports
FAQ
Which brands do AI assistants recommend most for inline skates?
Over the last 30 days the top brands by AI mention share are: Rollerblade (26.2%), K2 (19.1%), Powerslide (10.1%), FR Skates (7.1%), Bauer (4.8%). Data from GEOly's continuous monitoring across ChatGPT, Google AI Mode, Google AI Overviews.
How many people ask AI about inline skates?
GEOly estimates ~2,446 AI queries per month in this category across 13 buyer topics, led by “Urban inline skates”.
Which sources do AI engines cite for inline skates?
The most-cited domains are: reddit.com, inlinewarehouse.com, rollerblade.com, k2skates.com, powerslide.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.