Category AI Visibility Report
Dance Shoes 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
≈5,686
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 Dance Shoes across ChatGPT, Google AI Mode, Google AI Overviews — an estimated 5,686 AI queries per month.
- Capezio leads the AI shelf with 19% of brand mentions, followed by Bloch (18.3%) and Pleaser (6.6%). The top three hold 43.9% combined — a concentrated shelf where challengers need a differentiated topic wedge.
- The highest-demand topic is “hip hop dance shoes” (top keyword “dance shoes for hip hop”, ~1,900 searches/mo).
- AI answers lean on reddit.com most (39.1% 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 | Capezio | 969 | 19% |
| 2 | Bloch | 934 | 18.3% |
| 3 | Pleaser | 338 | 6.6% |
| 4 | Fuego | 303 | 5.9% |
| 5 | So Danca | 261 | 5.1% |
| 6 | International Dance Shoes | 154 | 3% |
| 7 | Corr's | 146 | 2.9% |
| 8 | Hella | 141 | 2.8% |
| 9 | Supadance | 125 | 2.4% |
| 10 | Aris Allen | 121 | 2.4% |
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 |
|---|---|---|---|
| hip hop dance shoes | ≈1,492 | dance shoes for hip hop | 1,900 |
| half sole dance shoes | ≈1,444 | half soles dance shoes | 1,300 |
| swing dance shoes | ≈1,379 | shoes for swing dance | 880 |
| character dance shoes | ≈1,371 | character dance shoes | 880 |
| pointe dance shoes | — | pointe shoes | 40,500 |
| heeled dance shoes | — | dance heel shoes | 12,100 |
| ballroom dance shoes | — | dance shoes for ballroom | 5,400 |
| pole dance shoes | — | shoes for pole dance | 2,400 |
| jazz dance shoes | — | jazz shoes | 22,200 |
| irish dance shoes | — | irish dance shoes | 1,900 |
| dance sneakers dance shoes | — | ballet sneakers | 27,100 |
| latin dance shoes | — | shoes for latin dance | 1,600 |
| lyrical dance shoes | — | shoes for lyrical dance | 2,400 |
| tap dance shoes | — | tap shoes | 22,200 |
| ballet dance shoes | — | ballet shoes | 49,500 |
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 | 39.1% |
| wedance.ca | 84 | 7.9% |
| dancewami.com | 73 | 6.9% |
| capezio.com | 58 | 5.5% |
| bestpoledancingshoes.com | 44 | 4.1% |
| blochworld.com | 34 | 3.2% |
| zappos.com | 32 | 3% |
| sodancastore.com | 22 | 2.1% |
Related category reports
FAQ
Which brands do AI assistants recommend most for dance shoes?
Over the last 30 days the top brands by AI mention share are: Capezio (19%), Bloch (18.3%), Pleaser (6.6%), Fuego (5.9%), So Danca (5.1%). Data from GEOly's continuous monitoring across ChatGPT, Google AI Mode, Google AI Overviews.
How many people ask AI about dance shoes?
GEOly estimates ~5,686 AI queries per month in this category across 15 buyer topics, led by “hip hop dance shoes”.
Which sources do AI engines cite for dance shoes?
The most-cited domains are: reddit.com, wedance.ca, dancewami.com, capezio.com, bestpoledancingshoes.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.