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Reports/Electric Bikes

Category AI Visibility Report

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

≈99,438

Est. AI queries / month

65

Buyer topics monitored

10

Brands on the AI shelf

Key insights

  • Over the last 30 days, GEOly monitored 65 buyer topics in Electric Bikes across ChatGPT, Google AI Mode, Google AI Overviews — an estimated 99,438 AI queries per month.
  • Lectric leads the AI shelf with 8.9% of brand mentions, followed by Cube (6.9%) and Specialized (6.7%). The top three hold 22.5% combined — a shelf that has not consolidated yet, leaving a clear window for challengers.
  • The highest-demand topic is “Electric bikes with pedal assist” (top keyword “electric bikes with pedal assist”, ~27,100 searches/mo).
  • AI answers lean on reddit.com most (14.4% 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).

#BrandAI mentionsShare
1Lectric4,9048.9%
2Cube3,7946.9%
3Specialized3,6786.7%
4Aventon2,8015.1%
5Trek2,6004.7%
6Brompton1,9633.6%
7Kalkhoff1,6513%
8Gazelle1,5582.8%
9Velotric1,5022.7%
10Tern1,3372.4%

What shoppers ask AI

Buyer topics monitored in this category, with estimated monthly AI queries and the top Google keyword behind each topic.

TopicEst. AI queries / moTop keywordSearch volume / mo
Electric bikes with pedal assist≈19,939electric bikes with pedal assist27,100
pedal assist electric bikes≈19,939electric bikes with pedal assist27,100
High performance electric bikes≈18,589high performance electric bikes18,100
Electric mountain bikes≈17,711mountain electric bikes22,200
Class 3 electric bikes≈14,288class 3 electric bikes9,900
Gebrauchtes E-Mountainbike≈889e mountainbike gebraucht480
Günstiges E-Faltrad≈889e bike sale4,400
Leichtes E-Faltrad≈889e-bike klapprad unter 15 kg720
E-Mountainbike Hardtail≈885e-mountainbike hardtail1,000
E-Citybike mit 28 Zoll≈867city e-bike 28 zoll40
Gebrauchtes E-Faltrad≈855e-bike klapprad mit bosch mittelmotor gebraucht140
E-Faltrad mit Bosch-Mittelmotor≈825e-bike klapprad mit bosch mittelmotor1,000
Gebrauchtes E-Citybike≈820city e-bike damen gebraucht30
E-Faltrad mit Rücktrittbremse≈780e-bike klapprad mit bosch mittelmotor und rücktrittbremse50
E-Faltrad mit Riemenantrieb≈693schindelhauer e bike1,300
E-Citybike mit 26 Zoll≈580e citybike damen 26 zoll20

Sources AI cites in this category

Root domains AI engines cited most when answering category queries in the last 30 days.

DomainCitationsShare
reddit.com1,29314.4%
electricbikereport.com7158%
faz.net3283.6%
tomsguide.com3043.4%
electricbikereview.com2833.1%
outdoorgearlab.com2542.8%
riderguide.com2532.8%
radfahren.de2442.7%

FAQ

Which brands do AI assistants recommend most for electric bikes?

Over the last 30 days the top brands by AI mention share are: Lectric (8.9%), Cube (6.9%), Specialized (6.7%), Aventon (5.1%), Trek (4.7%). Data from GEOly's continuous monitoring across ChatGPT, Google AI Mode, Google AI Overviews.

How many people ask AI about electric bikes?

GEOly estimates ~99,438 AI queries per month in this category across 65 buyer topics, led by “Electric bikes with pedal assist”.

Which sources do AI engines cite for electric bikes?

The most-cited domains are: reddit.com, electricbikereport.com, faz.net, tomsguide.com, electricbikereview.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.

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