Category AI Visibility Report
Fat Tire Electric Bikes 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
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Est. AI queries / month
3
Buyer topics monitored
10
Brands on the AI shelf
Key insights
- Over the last 30 days, GEOly monitored 3 buyer topics in Fat Tire Electric Bikes across ChatGPT, Google AI Mode, Google AI Overviews — an estimated 0 AI queries per month.
- Lectric leads the AI shelf with 21.3% of brand mentions, followed by Aventon (11.6%) and Heybike (6.7%). The top three hold 39.6% combined — a shelf that has not consolidated yet, leaving a clear window for challengers.
- The highest-demand topic is “fat tire electric bikes with pedals” (top keyword “e bike with pedals”, ~3,600 searches/mo).
- AI answers lean on reddit.com most (35.2% 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 | Lectric | 293 | 21.3% |
| 2 | Aventon | 160 | 11.6% |
| 3 | Heybike | 92 | 6.7% |
| 4 | GOTRAX | 80 | 5.8% |
| 5 | Velotric | 71 | 5.2% |
| 6 | Himiway | 70 | 5.1% |
| 7 | Ariel Rider | 64 | 4.6% |
| 8 | Ride1Up | 39 | 2.8% |
| 9 | Wicked Thumb | 36 | 2.6% |
| 10 | MOD Bikes | 31 | 2.3% |
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 |
|---|---|---|---|
| fat tire electric bikes with pedals | — | e bike with pedals | 3,600 |
| 2 seater fat tire electric bikes | — | 2 seater electric bike | 4,400 |
| folding fat tire electric bikes | — | folding fat tire electric bikes | 6,600 |
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 | 57 | 35.2% |
| electricbikereport.com | 54 | 33.3% |
| riderguide.com | 15 | 9.3% |
| electricbikereview.com | 5 | 3.1% |
| ride1up.com | 4 | 2.5% |
| outdoorgearlab.com | 4 | 2.5% |
| lectricebikes.com | 4 | 2.5% |
| aventon.com | 4 | 2.5% |
FAQ
Which brands do AI assistants recommend most for fat tire electric bikes?
Over the last 30 days the top brands by AI mention share are: Lectric (21.3%), Aventon (11.6%), Heybike (6.7%), GOTRAX (5.8%), Velotric (5.2%). Data from GEOly's continuous monitoring across ChatGPT, Google AI Mode, Google AI Overviews.
How many people ask AI about fat tire electric bikes?
GEOly estimates ~0 AI queries per month in this category across 3 buyer topics, led by “fat tire electric bikes with pedals”.
Which sources do AI engines cite for fat tire electric bikes?
The most-cited domains are: reddit.com, electricbikereport.com, riderguide.com, electricbikereview.com, ride1up.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.