Folding and Compact Electric Bikes: AI Visibility Market Discovery Index

Tracking how AI platforms recommend folding and compact electric bikes. This public AI Visibility Market Discovery Index is updated monthly since July 2026.

Mark Huntley, J.D.
By Mark Huntley, J.D.Growth Strategist & AI Discovery Analyst
8 minutes read

Benchmark Summary

Lectric eBikes led the category in October 2026 with valid recommendation coverage of 86.3%, and the gap to the next brand was 9.5 percentage points, as Aventon held the second position at 76.8% in October 2026. Lectric eBikes recorded the largest coverage increase, rising from 78.6% in July 2026 to 86.3% in October 2026, a move of 7.7 percentage points that went beyond normal variation. Rad Power Bikes recorded the largest decline, falling from 35.8% in July 2026 to 22.2% in October 2026, a drop of 13.6 percentage points that also went beyond normal variation.

The month saw mixed movement. Five brands recorded coverage gains beyond normal variation relative to the July 2026 baseline, and two recorded declines beyond normal variation. The current benchmark measured 737 qualified observations, following 726 in July 2026, 704 in August 2026, and 719 in September 2026.

AI recommendation trend

valid recommendation coverage, Jul 2026 to Oct 2026

0%25%50%75%100%Jul 2026Aug 2026Sep 2026Oct 2026
  • Lectric eBikes86.3%
  • Aventon76.8%
  • Velotric70.3%
  • Ride1Up66.8%
  • Rad Power Bikes22.2%
  • Urtopia14.1%
  • GOTRAX12.8%
  • Brompton11.4%
  • Heybike10.4%
  • Blix0.8%

Current Benchmark at a Glance

Measure

Jul 2026

Oct 2026

Movement

Qualified benchmark observations

726

737

Up 11

Tracked brands

10

10

No change

Qualified surface breadth

6

6

No change

Recommendation-shaped answer share

51.9%

60.8%

Up 8.9 points

Valid recommendation shortlist share

82.6%

92.4%

Up 9.8 points

Leader by valid recommendation coverage

Lectric eBikes (78.6%)

Lectric eBikes (86.3%)

No change

Qualified surface breadth counts the canonical AI/search surface families with at least one qualified observation. The six families are ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. August 2026 recorded 704 qualified observations and September 2026 recorded 719, but neither month appears in the comparison columns above. Brand-level percentages in this report use the qualified observation count for each month as the public denominator. AI Visibility Market Discovery Methodology.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Folding and Compact Electric Bikes

Current Brand Standings

Questions This Section Answers

  • Which folding e-bike brands earned the highest valid recommendation coverage in October 2026?
  • Which brands made the top three most often, and how did that differ from being ranked first?
  • How wide is the gap between the leading e-bike brand and the rest of the tracked set?

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This table is the primary current-month benchmark view, sorted by valid recommendation coverage.

Brand

Presence rate

Valid recommendation coverage

Top-three rate

Rank-one rate

Net sentiment

Lectric eBikes

93.8%

86.3%

74.6%

34.1%

1.0

Aventon

85.1%

76.8%

65.4%

35.3%

1.0

Velotric

77.9%

70.3%

37.2%

4.6%

1.0

Ride1Up

73.7%

66.8%

45.1%

6.8%

1.0

Rad Power Bikes

32.3%

22.2%

9.4%

1.9%

0.7

Urtopia

17.1%

14.1%

7.1%

1.4%

0.9

GOTRAX

17.8%

12.8%

5.4%

1.4%

0.7

Brompton

12.8%

11.4%

5.6%

0.8%

0.9

Heybike

16.7%

10.4%

3.1%

0.4%

0.7

Blix

1.2%

0.8%

0.5%

0.1%

0.7

How to Read the Standings

Presence rate is the share of qualified observations in which the brand appears in the AI response at all. Valid recommendation coverage is the share of qualified observations in which the brand earns a valid recommendation. Top-three rate is the share of observations where the brand appears in the first three recommendation positions. Rank-one rate is the share where the brand is the first recommendation. Net sentiment reflects the balance of positive over negative mentions. For formulas and denominator rules, see AI Visibility Market Discovery Metric Definitions.

Recommendation Coverage Movement

Questions This Section Answers

  • Which e-bike brands saw recommendation coverage shifts beyond normal variation since July 2026?
  • What happened to Rad Power Bikes' coverage after its double-digit decline?
  • Did Lectric eBikes' coverage gains hold across recent months?

Brand

Jul 2026

Oct 2026

Movement since baseline

Aventon

71.6%

76.8%

Up 5.2 points

Blix

2.2%

0.8%

Down 1.4 points

Brompton

12.7%

11.4%

Down 1.3 points

GOTRAX

6.9%

12.8%

Up 5.9 points

Heybike

6.9%

10.4%

Up 3.5 points

Lectric eBikes

78.6%

86.3%

Up 7.7 points

Rad Power Bikes

35.8%

22.2%

Down 13.6 points

Ride1Up

64.0%

66.8%

Up 2.8 points

Urtopia

16.8%

14.1%

Down 2.7 points

Velotric

62.4%

70.3%

Up 7.9 points

Velotric moved up 5.1 percentage points from September 2026 to October 2026, beyond normal variation. Lectric eBikes moved up 8.4 percentage points over the same prior-to-current period, also beyond normal variation. Aventon moved up 9.3 percentage points over that period, beyond normal variation. Rad Power Bikes moved up 3.7 percentage points over that period, a change within normal variation, after declining in each of the two months from July 2026 to September 2026. Brompton and Urtopia each declined in the two months from September 2026 back through August 2026, with Brompton down 0.4 percentage points and Urtopia down 2.2 percentage points from September 2026 to October 2026, both within normal variation.

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Largest Increase: Lectric eBikes

Lectric eBikes posted the largest coverage increase in the series, rising from 78.6% in July 2026 to 86.3% in October 2026, a gain of 7.7 percentage points that went beyond normal variation. The brand rose in each of the two months since September 2026. Its top-three rate rose from 57.3% in July 2026 to 74.6% in October 2026, a gain of 17.3 percentage points beyond normal variation.

Largest Decline: Rad Power Bikes

Rad Power Bikes recorded the largest coverage decline in the series, falling from 35.8% in July 2026 to 22.2% in October 2026, a drop of 13.6 percentage points that went beyond normal variation. The brand declined in each of the two months from July 2026 to September 2026, with the largest single-month move of 11.4 percentage points occurring between July and August 2026, before a partial rebound in October 2026 that remained within normal variation. Its presence rate fell from 47.5% in July 2026 to 32.3% in October 2026, a drop of 15.2 percentage points beyond normal variation.

Category Leader: Lectric eBikes

Lectric eBikes remained the category leader at 86.3% in October 2026, up 7.7 percentage points from 78.6% in July 2026, a move beyond normal variation. The gap to Aventon, the next brand, was 9.5 percentage points in October 2026. Velotric, Ride1Up, Brompton, Heybike, GOTRAX, Urtopia, Blix, and Rad Power Bikes, along with Aventon, round out the tracked set, each measured on its own terms against the baseline.

Recommendation Placement Snapshot

Questions This Section Answers

  • Which folding e-bike brands appear in the top three recommendations versus first position?
  • How can two brands with similar coverage end up with very different rank-one rates?

Coverage alone does not show how prominently a brand is recommended. Placement tells a more detailed story.

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Brand

Oct 2026 top-three rate

Oct 2026 rank-one rate

Jul 2026 top-three rate

Jul 2026 rank-one rate

Lectric eBikes

74.6%

34.1%

57.3%

32.4%

Aventon

65.4%

35.3%

49.5%

21.2%

Velotric

37.2%

4.6%

24.4%

4.0%

Similar coverage can still hide different first-position rates. Aventon held a rank-one rate of 35.3% in October 2026, slightly above Lectric eBikes at 34.1%, while Velotric, with a top-three rate of 37.2% in October 2026, held a rank-one rate of 4.6% in the same month.

Buyer-Intent Distribution

The qualified observations in the current public series fall into the Brand Recommendation class. This table shows the distribution of buyer-intent classes.

Buyer-intent class

Jul 2026

Oct 2026

Brand Recommendation

726

737

Pricing & Value

0

0

Multi-Brand Comparison

0

0

Total qualified observations

726

737

All qualified observations in the baseline and current months sit in the Brand Recommendation class. The current public series measures that class of discovery and does not yet contain qualified observations in the empty classes.

Historical Measurement Record

Questions This Section Answers

  • Has Lectric eBikes led recommendation coverage in every measurement month?
  • Which brand recorded the largest coverage swing in each reporting period?

This is an evergreen benchmark URL. New measurements are added to the same report.

Measurement

Qualified observations

Coverage leader

Leader coverage

Largest coverage movement

Jul 2026

726

Lectric eBikes

78.6%

Rad Power Bikes, down 13.6 points to 22.2%

Aug 2026

704

Lectric eBikes

76.7%

Aventon, up 8.5 points to 68.5%

Sep 2026

719

Lectric eBikes

77.9%

GOTRAX, up 6.3 points to 13.2%

Oct 2026

737

Lectric eBikes

86.3%

Lectric eBikes, up 7.7 points to 86.3%

Evidence and Source Layer

Questions This Section Answers

  • What data points does each prompt-level observation capture?
  • Does a brand being cited in an AI response mean that source caused the recommendation?

The benchmark is built from prompt-level observations that retain the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources. Source presence is evidence about the information environment. It is not automatically proof that the source caused the recommendation.

Scope Boundaries

This public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, social mention volume, private or sponsored channels, or causality from a metric movement alone. It is a directional measure of how AI surfaces present brands in response to discovery prompts.

Top 10 Cited Domains

Questions This Section Answers

  • Which domains do AI platforms cite most often when recommending folding e-bikes?
  • Do review sites or general platforms dominate the most-cited sources?
  • Which brand-owned domain appears among the top cited sources?

Across all AI platform responses in this measurement period, 8,285 citations were observed across 784 unique domains.

Rank

Domain

Citations

Share

Platforms citing

1

google.com

1,301

15.7%

AI Mode, AI Overviews

2

youtube.com

788

9.5%

ChatGPT, Gemini, AI Mode, AI Overviews, Perplexity

3

reddit.com

383

4.6%

ChatGPT, Gemini, AI Mode, AI Overviews, Perplexity

4

electricbikereview.com

339

4.1%

ChatGPT, Copilot, Gemini, AI Mode, AI Overviews, Perplexity

5

riderguide.com

317

3.8%

ChatGPT, Copilot, Gemini, AI Mode, AI Overviews, Perplexity

6

electricbikereport.com

259

3.1%

ChatGPT, Copilot, Gemini, AI Mode, AI Overviews, Perplexity

7

engwe.com

255

3.1%

Copilot, Gemini, AI Mode, AI Overviews, Perplexity

8

outdoorgearlab.com

226

2.7%

ChatGPT, Copilot, Gemini, AI Mode, AI Overviews, Perplexity

9

velotricbike.com

185

2.2%

ChatGPT, Copilot, Gemini, AI Mode, AI Overviews, Perplexity

10

ebikeescape.com

171

2.1%

ChatGPT, Copilot, Gemini, AI Mode, AI Overviews, Perplexity

Citations are concentrated at the top of the distribution, with the top three domains accounting for roughly 30% of all citations, while the remainder of the top ten each hold between 2% and 4%. One tracked brand's own domain, velotricbike.com, appears in the top ten at rank nine. Review and guide sites, including electricbikereview.com, riderguide.com, electricbikereport.com, outdoorgearlab.com, and ebikeescape.com, make up the majority of the list, with general platforms such as google.com, youtube.com, and reddit.com also ranking highly.

About This Benchmark

The LLM Authority Index AI Visibility Market Discovery Index tracks how AI and search surfaces present brands and products. It is a neutral industry benchmark built from repeated monthly samples across the six canonical AI surface families. Research links:

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