How AI Search Is Recommending Gravel, Adventure and All-Terrain Bikes: Monthly Trends

Executive Summary

The AI recommendation landscape for gravel, adventure, and all-terrain bikes was broadly stable in September 2026, with Trek retaining the category lead at 66.8% valid recommendation coverage. Trek's lead over the next brand narrowed to 0.9 points, down from the 1.2-point margin recorded in August, as Specialized settled at 65.9%. Both leaders remain inside a tight two-brand cluster that continues to hold a clear distance from the rest of the field.

Orbea was the strongest upward mover this month, rising 5.5 points to 18.9% valid recommendation coverage from 13.4% in August. The gain extended a two-month climb from a 10.9% baseline in July and crossed the significance threshold in both the prior-to-current and baseline-to-current comparisons. Orbea's raw mention presence rose to 29.8% from 22.2%, with 118 valid recommendations in September.

No brand declined significantly in September, though several leaders saw modest pullbacks from their August peaks. Trek eased 3.4 points, Specialized 3.1 points, Cannondale 4.6 points, and Giant 4.1 points from August, all within normal month-to-month variation. August's broad upward movement gave way to a quieter month, with Orbea as the lone significant riser across the baseline-to-current series.

Each monthly run begins with 800 prompt-surface observations (539 unique questions in July, 588 in August, 572 in September) across the benchmark's defined AI/search surface universe. Of those, 800 mentioned a tracked brand or competitor across all three months; 778 were relevant and 22 were irrelevant in July, 764 relevant and 36 irrelevant in August, and 771 relevant and 29 irrelevant in September. The public metrics use the 685 qualified observations in July, 628 in August, and 624 in September that survive both qualification stages.

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.

Benchmark-Level Metrics

The table below summarizes category-wide metrics for the baseline and current months.

The qualified observation count declined through the series, from 685 in July to 628 in August to 624 in September. August recorded the highest recommendation-shaped answer share (43.8%) and valid recommendation shortlist share (69.7%) in the series; September's shares moved back toward July levels.

AI Recommendation Trend

The top of the category tightened into a near-tie between Trek and Specialized, with each brand pulling back from its August peak.

Valid recommendation coverage is the share of qualified observations where the brand appears in a recommendation context. Only Orbea posted a significant move on the primary metric between July and September. The category-level stability came from small movements across most brands, with several leaders easing from August peaks while holding above their July baselines. No brand exceeded normal month-to-month variation on the downside.

What Changed This Month

Orbea: Significant rise narrows the gap to the next tier

Orbea rose 5.5 points in September to 18.9% valid recommendation coverage from 13.4% in August, a significant prior-to-current move that extended a two-month climb. From the July baseline of 10.9%, Orbea is up 8.0 points, also a significant gain. The brand recorded 118 valid recommendations in September, up from 84 in August and 75 in July.

Orbea's raw mention presence rose to 29.8% in September from 22.2% in July, a gain of 7.6 points, with 186 present observations out of 624. The brand appears in 152 observations in July and 186 in September, signaling broader conversational presence across the series. Sentiment stayed stable at 0.8.

The distinction to notice is that Orbea's growth is presence-driven rather than placement-driven. Its top-three rate held at 0.8% and rank-one rate at 0.0%, meaning the brand appears in more conversations without yet converting that presence into top recommendations.

Highest-priority diagnostic: Which prompt types and surfaces account for Orbea's rising presence, and what would need to change for that presence to convert into top-three placement.

Trek: Leader holds the top spot while easing from its August peak

Trek led the category in September at 66.8% valid recommendation coverage, down 3.4 points from 70.2% in August but up 3.3 points from the 63.5% July baseline. The prior-to-current decline stayed within normal variation, and the brand remains the category leader for the third consecutive month.

Trek's top-three placement rose to 41.8% in September from 36.2% in July, a gain of 5.6 points, while rank-one recommendations eased to 13.0% from 15.0%. Raw mention presence dipped to 97.9% from 99.7%, a small decline of 1.8 points, with 611 present observations out of 624.

The distinction to notice is that Trek's coverage lead now rests on breadth across recommendation lists rather than on winning the top spot. Specialized holds a substantially higher rank-one rate at 25.8% versus Trek's 13.0%, while Trek appears in more recommendation contexts overall.

Highest-priority diagnostic: Which prompts moved Trek from rank one to lower placements between August and September, and which competitor is capturing those top recommendations.

Specialized: Holds near the leader with the category's strongest rank-one rate

Specialized settled at 65.9% valid recommendation coverage in September, down 3.1 points from 69.0% in August but up 3.1 points from the 62.8% July baseline. The brand sits 0.9 points behind Trek, the tightest margin in the series.

Specialized's top-three placement rose to 43.0% in September from 36.5% in July, a gain of 6.5 points, and its rank-one rate climbed to 25.8% from 18.5%, a gain of 7.3 points. The brand recorded 161 rank-one recommendations out of 624 observations in September, up from 127 in July. Raw mention presence eased slightly to 96.0% from 98.4%.

The distinction to notice is that Specialized leads the category on both top-three placement and rank-one rate while trailing by less than one point on overall coverage. The brand wins the top spot more often than any tracked competitor but appears in slightly fewer recommendation contexts.

Highest-priority diagnostic: Which recommendation contexts include Trek but exclude Specialized, despite Specialized's stronger top-three and rank-one performance.

Cannondale and Giant: Modest pullbacks from August peaks within stable ranges

Cannondale declined 4.6 points in September to 56.7% valid recommendation coverage from 61.3% in August, the largest single-month move among non-significant decliners. From the July baseline of 56.9%, the brand is essentially flat, down 0.2 points. Cannondale recorded 354 valid recommendations in September. Raw mention presence eased to 92.2% from 97.2%, a decline of 5.0 points on that supporting metric, with 575 present observations out of 624.

Giant declined 4.1 points to 61.2% from 65.3% in August, while remaining up 1.5 points from the 59.7% July baseline. Raw mention presence fell to 92.0% from 96.8%, a decline of 4.8 points, though top-three placement rose to 32.0% from 29.3% over the same period. Giant recorded 382 valid recommendations.

The distinction to notice is that both brands lost conversational presence while holding or improving placement quality. This suggests the coverage pullbacks reflect fewer mentions overall rather than weaker recommendations when the brands do appear.

Highest-priority diagnostic: Which surfaces or prompt types account for the presence declines at Cannondale and Giant, and whether those reflect content or query-mix shifts.

Small-count movers: Cube Bikes extends a two-month climb while Niner Bikes fades

Cube Bikes rose for a second consecutive month, reaching 3.4% valid recommendation coverage in September from 2.4% in August and 1.8% in July. The brand recorded 21 valid recommendations, with raw mention presence up to 5.8% from 2.9% in July. Cube Bikes also recorded a rank-one recommendation in September, up from zero in July.

Marin Bikes held near 6.1% coverage with 38 valid recommendations, down 1.7 points from August but up 0.6 points from July. Surly Bikes recorded 3.0% coverage with 19 valid recommendations. Niner Bikes fell to 0.0% coverage with 0 valid recommendations in September, down from 1 in July, though its raw presence rose slightly to 0.6%. Spot Brand continued to record zero presence and zero coverage for the third consecutive month.

The distinction to notice is that small counts at the long tail remain directional signals rather than established trends. The gains at Cube Bikes and the fade at Niner Bikes each rest on fewer than 25 valid recommendations.

Highest-priority diagnostic: Whether the early rank-one signals at Cube Bikes and Surly Bikes persist or revert, and whether any consistent context produces a Niner Bikes recommendation.

Buyer-Intent Interpretation

In September 2026, the qualified observations fell entirely into the Brand Recommendation cluster, with all 624 observations classified under discovery and consideration. The Pricing & Value and Multi-Brand Comparison clusters had zero observations, matching the pattern from July and August.

The public benchmark can currently speak to which brands AI systems recommend when a buyer is exploring options, but it cannot yet answer price-sensitive questions or head-to-head comparison outcomes. Those commercial questions remain outside the public benchmark's reach.

Brand Opportunity Summary

The benchmark identifies where attention is warranted; a company-level analysis is needed to explain why each brand sits where it does.

Evidence Behind the Benchmark

The aggregate metrics are built from prompt-level observations covering the query, surface, recommendation outcome, rank, sentiment, and citations where exposed. Company-level analysis can go deeper into which prompts a brand wins, which competitors take the recommendation when a brand loses, and which external sources shape those answers. 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

• Several brands operate on very small observation counts (Niner Bikes at 0 valid recommendations, Cube Bikes at 21, Surly Bikes at 19); treat these as directional signals, not established trends.
• The qualified denominator declined through the series, from 685 observations in July to 628 in August to 624 in September; percentages in each month are calculated within that month's own qualified set.
• Movement between months identifies changes worth investigating; it does not by itself establish the cause of those changes.

Next Step

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

The aggregate percentages hide the detail that matters for action: which high-intent prompts a brand wins, which competitor takes the recommendation when a brand loses, what attributes AI systems associate with each option, and which external sources shape those answers. The benchmark shows the outcome; it does not expose the mechanism.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. It answers the questions the public benchmark cannot, and turns the movement identified here into a concrete plan.

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