Gravel, Adventure and All-Terrain Bikes: AI Market Discovery Index

Benchmark Summary

Trek led the category with 66.8% valid recommendation coverage in September 2026, down from 70.2% in August 2026. Specialized followed at 65.9% in September 2026, down from 69.0% in August 2026, a gap of 0.9 percentage points between the two leaders.

The largest coverage increase came from Orbea, which rose 5.5 percentage points from 13.4% in August 2026 to 18.9% in September 2026, a move beyond normal month-to-month variation. The largest coverage decline came from Cannondale, which fell 4.6 percentage points from 61.3% in August 2026 to 56.7% in September 2026, within normal variation. Movement was otherwise mixed but calm across the rest of the category.

The benchmark began with 800 prompt-surface observations in each month and produced 624 qualified observations in September 2026 after qualification.

Current Benchmark at a Glance

Qualified surface breadth counts the canonical AI/search surface families with at least one qualified observation across ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. The benchmark held breadth at six families across the series. August 2026 saw coverage peak for the leaders before a partial pullback in September 2026.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Gravel, Adventure and All-Terrain Bikes

Research Scope and Qualification

The public benchmark is narrower than the raw collection universe by design. Brand-level percentages use the qualified observations as the public denominator, not the raw collection.

For full details on how the public set is derived from the raw collection, see AI Market Discovery Methodology.

Current Brand Standings

Sorted by valid recommendation coverage, the share of qualified observations in which the brand appears in a valid recommendation context.

How to Read the Standings

Presence rate is the share of qualified observations in which the brand is mentioned at all. Valid recommendation coverage is the share of qualified observations in which the brand appears in a valid recommendation context. Top-three rate is the share of qualified observations in which the brand appears among the first three recommendations. Rank-one rate is the share of qualified observations in which the brand is the first recommendation. Net sentiment is the balance of positive over negative brand mentions, scaled from -1 to +1.

For formulas and denominator rules, see AI Market Discovery Metric Definitions.

Recommendation Coverage Movement

Largest Increase: Orbea

Orbea posted the largest coverage gain of the month, rising 5.5 percentage points from 13.4% in August 2026 to 18.9% in September 2026, beyond normal variation. This extended a two-month run of gains that lifted Orbea from 10.9% in July 2026 to 18.9% in September 2026, a cumulative rise of 8.0 percentage points. Orbea's presence rate rose 7.6 percentage points from 22.2% in July 2026 to 29.8% in September 2026, and its recommendation gap to Cannondale narrowed from 46.0 percentage points in July 2026 to 37.8 percentage points in September 2026.

Orbea is the sole significant riser this month, but the gain came from broader presence rather than stronger placement: the brand's top-three rate was 0.8% in September 2026 and its rank-one rate was 0.0%, meaning it is being mentioned far more often but rarely surfaced as a leading recommendation.

Category Leader: Trek

Trek held the lead in valid recommendation coverage at 66.8% in September 2026. The gap to Specialized at 65.9% was 0.9 percentage points. Specialized held a higher top-three rate at 43.0% versus 41.8% for Trek, and a far higher rank-one rate at 25.8% versus 13.0% for Trek.

Other stable brands traded within normal variation this month after August 2026's broad rise: Giant fell 4.1 points from August 2026, Specialized fell 3.1 points, Trek fell 3.4 points, and Cannondale fell 4.6 points. Spot Brand showed no qualifying observations in any month of the series. Niner Bikes held a 0.6% presence rate in September 2026 with 0.0% valid recommendation coverage.

Recommendation Placement Snapshot

Coverage alone does not show how prominently a brand is recommended. The leading brands showed meaningful differences in how often they appear in the first position even when coverage levels were close.

Specialized led the leading cluster on top-three placement at 43.0% in September 2026 and reached a rank-one rate of 25.8%, nearly double Trek's 13.0%. Trek's rank-one rate declined 2.0 percentage points from 15.0% in July 2026 to 13.0% in September 2026. Giant reached the top three 32.0% of the time but ranked first only 4.2% of the time, showing that close coverage can still hide very different first-position rates.

Buyer-Intent Distribution

All 624 qualified observations in September 2026 fell into the Brand Recommendation class.

The current public series measures only the Brand Recommendation class of discovery and contains no qualified observations in the Pricing & Value or Multi-Brand Comparison classes.

Historical Measurement Record

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

Evidence and Source Layer

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 records what AI/search surfaces displayed in response to the qualified prompts in the collection universe for this vertical.

About This Benchmark

The LLM Authority Index AI Market Discovery Index tracks how often brands appear in AI-generated recommendations across six canonical AI/search surface families for a given vertical. It measures presence, recommendation coverage, placement, and sentiment as distinct signals. The benchmark is built from prompt-level observations and published monthly as a neutral industry reference.

• AI Market Discovery Methodology
• AI Market Discovery Metric Definitions
• AI Market Discovery Research Standards
• Modeled AI Authority Value

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