How AI Search Is Recommending Electric Cargo Bikes and Family E-bikes: Monthly Trends

Executive Summary

The category recorded measurable movement in September 2026, driven by a decline for Rad Power Bikes. Aventon remains the coverage leader with valid recommendation coverage of 69.9% in September 2026, a stable position across the three-month series, holding a 1.3-point gap over Lectric eBikes at 68.6%.

Rad Power Bikes is the only brand whose movement this period falls outside normal month-to-month variation: its valid recommendation coverage fell from 36.6% in July 2026 to 28.5% in September 2026, down 8.1 points, including a 6.1-point single-month decline from August to September. This is a two-month downward streak.

Lectric eBikes has risen for two consecutive months, from 67.0% in July 2026 to 68.6% in September 2026, a 1.6-point cumulative gain that remains within normal month-to-month variation for the brand. Tern's single-month decline from 32.9% in August to 26.9% in September (down 6.0 points) stands out against an otherwise stable July-to-September comparison (down 0.7 points), which reads as a reversion rather than the start of a new trend.

The remaining brands — Specialized, Riese & Müller, Bunch Bikes, Urban Arrow, Xtracycle, and Yuba Bicycles — moved within normal month-to-month variation across the three-month series. September 2026 is best read as a quiet month for the category overall, with the exception of Rad Power Bikes.

The September 2026 research scope began with 800 prompt-surface observations (503 unique questions) across the benchmark's defined AI/search surface universe. Of those, 800 mentioned a tracked brand or competitor; 738 were relevant and 62 were irrelevant. The public metrics use the 684 observations that survive both qualification stages. The July 2026 baseline run began with 800 prompts (449 unique questions), of which 728 were relevant and 72 were irrelevant, yielding 693 qualified observations. The August 2026 run began with 800 prompts (489 unique questions), of which 735 were relevant and 65 were irrelevant, yielding 680 qualified observations.

Key Findings

Benchmark Context

The report separates the raw collection universe from the qualified analysis set. Brand-level recommendation percentages are calculated within the qualified benchmark set.

These stage counts define the denominator used throughout the report; the metrics below summarize category-level performance within that qualified set.

Benchmark-Level Metrics

The August 2026 run (680 qualified observations) marked a modest dip between the July and September measurement points, but the qualified surface breadth held at six families across all three months.

AI Recommendation Trend

Aventon Leads a Stable Top Tier While Rad Power Bikes Falls Further Behind

Aventon's lead over Lectric eBikes narrowed from 3.7 points in July 2026 to 1.3 points in September 2026, while the gap between Lectric eBikes and Rad Power Bikes widened every month, from 30.4 points in July to 40.1 points in September. Rad Power Bikes is the only brand whose movement this period falls outside normal month-to-month variation; every other brand's shift across the three-month series remains within that range.

What Changed This Month

Rad Power Bikes: Significant Two-Month Decline

Rad Power Bikes' valid recommendation coverage fell from 36.6% in July 2026 to 28.5% in September 2026, a drop of 8.1 points that moved beyond normal month-to-month variation for the brand. The single-month change from August to September was also significant: coverage fell 6.1 points from 34.6% in August 2026 to 28.5% in September 2026. This is a two-month downward streak that has moved the brand from a mid-tier position into clear fourth place.

The placement decline is broader than coverage alone. Rad Power Bikes' top-three rate fell from 15.9% in July 2026 to 10.7% in September 2026, a drop of 5.2 points. Raw mention presence eased from 56.4% in July to 52.9% in September, a smaller shift that remains within normal variation. The brand's rank-one rate held roughly steady, moving from 1.4% to 1.3%.

The distinction to note is between visibility and recommendation: Rad Power Bikes remains present in over half of all observations, but it is being recommended less often and less prominently. Net sentiment also moved from 0.9 to 0.7 across the two months, a separate signal from coverage and placement.

Highest-priority diagnostic: Which specific high-intent prompts are no longer returning Rad Power Bikes in their recommendation shortlists, and which competitor is taking that recommendation slot?

Lectric eBikes: Steady Two-Month Rise

Lectric eBikes has gained recommendation coverage in each of the last two months, rising from 67.0% in July 2026 to 68.6% in September 2026, a 1.6-point gain that remains within normal month-to-month variation but represents a consistent upward pattern. The brand added 0.5 points from August to September.

The depth of its placement strengthened more than its coverage. While its top-three rate dipped slightly from 47.8% in July to 44.9% in September, its rank-one rate improved from 13.6% to 16.5%, a 2.9-point gain. Raw mention presence also rose from 87.0% to 88.2% over the baseline period.

The distinction to note is that Lectric eBikes is converting its presence into first-position recommendations more often, even as its overall share of shortlist appearances holds steady.

Highest-priority diagnostic: Which prompt segments are driving the increase in rank-one recommendations, and do they map to specific product lines or use cases?

Tern: Single-Month Dip Against Baseline Stability

Tern's coverage fell from 32.9% in August 2026 to 26.9% in September 2026, a 6.0-point single-month drop that moved beyond normal month-to-month variation. Against its July baseline of 27.6%, however, the September result is essentially flat, a 0.7-point decline that remains within normal variation. This looks like a reversion to a stable level rather than the start of a new trend.

Tern's raw presence also eased from 42.5% in August to 36.3% in September, and its rank-one rate moved down from 5.8% in July to 4.7% in September. The counts are modest: Tern earned 184 valid recommendations in September 2026.

The distinction to note is that a notable single-month move does not necessarily indicate a meaningful change in competitive standing when the baseline comparison shows stability.

Highest-priority diagnostic: Was the August peak driven by a specific surge in prompts or surfaces that has since normalized?

Buyer-Intent Interpretation

In September 2026, all 684 qualified observations fell into the Brand Recommendation cluster. The benchmark found no qualified observations in the Pricing & Value or Multi-Brand Comparison clusters. The public metrics describe which brands AI systems recommend, but they do not yet answer how those systems weigh price, value, or head-to-head trade-offs. Those commercial questions require a deeper level of analysis beyond what the aggregate benchmark measures.

Brand Opportunity Summary

The benchmark identifies where attention is warranted; a company-level analysis is needed to explain why.

Evidence Behind the Benchmark

The aggregate metrics are built from prompt-level observations covering the query, the AI surface, the recommendation outcome, the rank, sentiment, and citations where exposed. Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns. Source presence is not automatically treated as proof of causation.

About This Benchmark

This report is part of the LLM Authority Index AI Market Discovery research program.

• AI Industry Market Discovery Methodology
• AI Industry Market Discovery Metrics
• AI Industry Market Discovery Standards

Report-Specific Interpretation Notes

• Only Rad Power Bikes moved beyond normal month-to-month variation in September 2026; other changes remain within the range typical for this benchmark and should be read as directional context rather than a confirmed shift.
• The metrics use a qualified denominator of 684 observations in September 2026, not the full 800 prompt-surface observations collected. Percentages are calculated on the qualified set.
• Small counts matter: brands like Xtracycle (7 valid recommendations) and Yuba Bicycles (15 valid recommendations) can show large percentage swings on very few observations. Their figures should be read with that base in mind.
• Directional analysis identifies movement worth investigating; it does not establish the cause of that movement.

Next Step

The Public Benchmark Shows Where a Brand Is Winning or Losing. A Company-Level Audit Shows Why.

The aggregate coverage percentages in this report raise questions that the benchmark alone cannot answer. Which high-intent prompts is a brand winning, and which is it losing? When a brand loses a recommendation, which competitor takes that slot?

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. It moves from the "what" of the benchmark to the "why" behind it, and from there to action.

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