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

Benchmark Summary

Questions This Section Answers

• Which brands recorded the largest single-month recommendation declines in October 2026?
• How does the October 2026 result compare with the July 2026 baseline?

Across the October 2026 measurement, every tracked brand recorded zero valid recommendation coverage. With all ten tracked brands at 0.0%, there is no leader and no gap between the top brand and the field this month — a decline from the July 2026 baseline for every brand that carried a positive baseline. The month was one of broad, category-wide decline rather than a single mover: the eight brands classified as significant decliners are Cannondale, Cube Bikes, Giant, Marin Bikes, Orbea, Specialized, Surly Bikes, and Trek, while Niner Bikes and Spot Brand held at zero. No brand recorded a coverage increase in October 2026.

Trek recorded the largest single-month fall of any tracked brand, down 66.8 percentage points from 66.8% in September 2026 to 0.0% in October 2026, against a July 2026 baseline of 63.5%, the highest baseline coverage of any brand. Specialized fell by a similar magnitude, down 65.9 percentage points from 65.9% in September 2026 to 0.0% in October 2026. Cannondale fell 56.7 percentage points from 56.7% in September 2026 to 0.0% in October 2026, against a July 2026 baseline of 56.9%.

The benchmark began with 800 prompt-surface observations in each month and produced 613 qualified observations in October 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. Breadth held at six families in October 2026, even as recommendation-shaped answers fell to zero. August 2026 was the peak month of the series for the leading brands, at 70.2% coverage for Trek and 69.0% for Specialized, before two consecutive months of decline.

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 Visibility Market Discovery Methodology.

Current Brand Standings

Questions This Section Answers

• What does the October 2026 standings table show for presence, recommendation coverage, and sentiment across all ten brands?
• Why is there no coverage leader this month?

Sorted by valid recommendation coverage. Every tracked brand recorded a 0.0% valid recommendation coverage rate in October 2026, with the qualified observation set resolving entirely to factual answers.

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 Visibility Market Discovery Metric Definitions.

Recommendation Coverage Movement

Questions This Section Answers

• How far did each brand fall from its July 2026 baseline coverage?
• Which brands were classified as stable versus significant decliners?

Category-Wide Decline

No brand recorded coverage growth in October 2026, and eight brands moved beyond normal variation to the downside: Cannondale, Cube Bikes, Giant, Marin Bikes, Orbea, Specialized, Surly Bikes, and Trek. The October 2026 drop follows September 2026 values of 66.8% for Trek, 65.9% for Specialized, 61.2% for Giant, 56.7% for Cannondale, 18.9% for Orbea, 6.1% for Marin Bikes, 3.4% for Cube Bikes, and 3.0% for Surly Bikes, so the fall occurred across both the leading cluster and the long tail.

Trek, Giant, Specialized, Marin Bikes, Cannondale, and Surly Bikes have now declined in each of the two months since September 2026. Orbea, Cube Bikes, and Surly Bikes each recorded their largest single-month move of the series in October 2026, down 18.9 points, 3.4 points, and 3.0 points respectively from September 2026.

Niner Bikes and Spot Brand are classified as stable. Niner Bikes ended at 0.0% coverage, down 0.1 points from 0.1% in July 2026, within normal variation. Spot Brand recorded 0.0% coverage in every month of the series, unchanged since the July 2026 baseline. Neither brand recorded a significant move this month.

Category Leader: None

October 2026 has no coverage leader. No tracked brand recorded any valid recommendation coverage in the month. The October 2026 month produced 613 qualified observations, all of which resolved as factual answers rather than recommendation-shaped responses.

Recommendation Placement Snapshot

Questions This Section Answers

• Did the leading brands also lose top-three and rank-one placement visibility, not just coverage?
• How do the October 2026 placement rates compare with the July 2026 baseline for Trek, Specialized, and Giant?

Coverage alone does not show how prominently a brand is recommended. With every brand at 0.0% coverage in October 2026, there is no placement signal to compare against the baseline.

The decline was not limited to rank-one visibility. Each of the three leading brands moved from a double-digit top-three rate in July 2026 to a 0.0% top-three and 0.0% rank-one rate in October 2026.

Buyer-Intent Distribution

Questions This Section Answers

• Which buyer-intent classes are represented in the qualified observations, and which are not yet measured?
• What happened to the recommendation-shaped answer share in October 2026?

All 613 qualified observations in October 2026 fell into the Brand Recommendation class, with no observations in Pricing & Value or Multi-Brand Comparison.

The current public series measures the Brand Recommendation class of discovery and does not yet contain qualified observations in the Pricing & Value or Multi-Brand Comparison classes. In October 2026 the recommendation-shaped answer share fell to 0.0%, so the qualified observations that did resolve were factual answers rather than recommendations.

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, not proof of causation. It is not automatically proof that the source caused the recommendation, and an absence of recommendation is not by itself evidence of what caused the shift.

Scope Boundaries

• This public benchmark does not measure market share or attributable sales.
• It does not capture every possible AI response, only the qualified observations in the collection universe for this vertical.
• It does not measure organic-search ranking or social mention volume.
• It does not cover private or sponsored channels.
• It does not establish causality from a metric movement alone. It records what AI/search surfaces displayed in response to the qualified prompts.

Top 10 Cited Domains

Questions This Section Answers

• Which domains were cited most often across AI platform responses, and which platforms cited them?
• How concentrated are citations among the top domains, and do any brand-owned domains appear?

Across the October 2026 measurement, 6,773 citations were observed across all AI platform responses, drawn from 1,155 unique domains.

Citations are concentrated at the top but not dominated by a single source. The top three domains together account for roughly one fifth of all citations, while the remaining 1,145 unique domains share the rest. No tracked brand's own domain appears in the top 10. General platforms and community sites lead, with YouTube and Reddit each cited across five platform families, followed by cycling-specific editorial and marketplace sources such as cyclingnews.com, elevatecycling.com, and buycycle.com.

About This Benchmark

The LLM Authority Index AI Visibility 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 Visibility Market Discovery Methodology
• AI Visibility Market Discovery Metric Definitions
• AI Visibility Market Discovery Research Standards
• Modeled AI Visibility Authority Value

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