Electric Mountain Bikes and Performance Bikes: AI Visibility Market Discovery Index

Benchmark Summary

Questions This Section Answers

• Which brand leads the October 2026 benchmark, and how large is the gap at the top?
• How did recommendation coverage and raw mention presence move in different directions this month?

Specialized leads the October 2026 benchmark with valid recommendation coverage of 82.9%, ahead of Trek at 81.8%, a gap of 1.1 percentage points. The category recorded significant movement this month after a quieter September. The largest coverage increases were Specialized, up 21.3 percentage points from 61.6% in September 2026 to 82.9% in October 2026, and Trek, up 20.9 points from 60.9% to 81.8% over the same period. Giant rose 20.3 points, from 53.9% in September 2026 to 74.2% in October 2026. Cannondale rose 16.5 points, from 45.8% to 62.3%. Santa Cruz rose 15.7 points, from 47.8% to 63.5%. Pivot Cycles rose 5.8 points, from 14.8% to 20.6%. No brand recorded a significant coverage decline this month. On the raw mention presence side, several leading brands declined even as recommendation coverage rose: Specialized fell 3.4 points from 98.6% in July 2026 to 95.2% in October 2026, Trek fell 3.7 points from 97.9% to 94.2%, Giant fell 7.3 points from 93.6% to 86.3%, and Cannondale fell 6.6 points from 85.6% to 79.0%. The benchmark began with 800 prompt-surface observations in each month and produced 496 qualified observations after qualification.

Current Benchmark at a Glance

Qualified surface breadth counts the canonical AI surface families with at least one qualified observation in the month. The six families are ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. August 2026 recorded 571 qualified observations and September 2026 recorded 542, continuing the month-to-month decline from the July baseline.

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

Research Scope and Qualification

Questions This Section Answers

• How many prompt-surface observations qualified in October 2026 compared with July 2026?
• Why do brand-level percentages use qualified observations rather than the raw collection?

Brand-level percentages use the qualified observations as the public denominator, not the raw collection. See the AI Visibility Market Discovery Methodology.

Current Brand Standings

Questions This Section Answers

• Which brands lead on valid recommendation coverage, and where did the rest of the tracked set land?
• How do top-three and rank-one rates differ across the leading brands?

How to Read the Standings

• Presence rate: the share of qualified observations in which a brand is mentioned at all, whether or not it is recommended.
• Valid recommendation coverage: the share of qualified observations in which a brand appears on a valid recommendation shortlist.
• Top-three rate: the share of qualified observations in which a brand is placed in the first three recommendations.
• Rank-one rate: the share of qualified observations in which a brand is placed first.
• Net sentiment: the balance of positive and negative mention sentiment, on a scale from -1 to 1.

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

Mondraker: Company Position in This Benchmark

Questions This Section Answers

• Where does Mondraker stand across presence, recommendation coverage, and placement in this benchmark?
• Why has Mondraker's valid recommendation coverage stayed flat to declining while competitors gained?

Mondraker's current standing in the October 2026 benchmark is the lowest in the tracked set across nearly every measured dimension: a presence rate of 2.6%, valid recommendation coverage of 1.6%, a top-three rate of 0.6%, a rank-one rate of 0.0%, and a net sentiment score of 0.6. Coverage moved down 0.7 points since the July 2026 baseline, from 2.3% to 1.6%, during a period in which the rest of the category moved sharply upward.

Specialized records 82.9% on valid recommendation coverage, while Mondraker stands at 1.6%, a gap of 81.3 percentage points. The more important issue is what that gap means for Mondraker's recommendation position: even Pivot Cycles, the next-lowest tracked brand above Mondraker, reached 20.6% coverage this month, meaning every other brand in the benchmark is converting presence into a valid recommendation shortlist at a materially higher rate than Mondraker does. This is not a brand with an untapped foothold waiting to be extended — it is a brand that is nearly invisible on valid recommendation shortlists while eight competitors expanded their own coverage sharply in the same four-month window.

Highest-priority diagnostic: Why has Mondraker's valid recommendation coverage remained flat to declining — 2.3% in July 2026 versus 1.6% in October 2026 — while every other tracked brand recorded double-digit percentage-point gains over the same period, and what would need to change in Mondraker's information environment for it to reach even the lowest competitive coverage levels now held by Orbea or Pivot Cycles?

Recommendation Coverage Movement

Questions This Section Answers

• Which brands recorded the largest coverage increases since the July 2026 baseline?
• Did any brand fail to gain recommendation coverage over the baseline period?

Category Leader and Largest Monthly Increase: Specialized

Specialized holds the highest valid recommendation coverage at 82.9% in October 2026, up 19.9 points from 63.0% in July 2026. It also recorded the largest single-month coverage increase of any tracked brand this month, rising 21.3 points from 61.6% in September 2026 to 82.9% in October 2026. Its top-three rate rose 19.9 points since baseline, from 39.6% to 59.5%, and its rank-one rate rose 12.4 points, from 21.7% to 34.1%. Raw mention presence declined 3.4 points over the same baseline period, from 98.6% to 95.2%, so the coverage gain did not follow from a wider presence footprint.

Other Significant Risers

Trek rose 20.9 points month-over-month, from 60.9% in September 2026 to 81.8% in October 2026, and is up 19.2 points since the July baseline, from 62.6% to 81.8%, with a top-three rate up 18.9 points, from 38.4% to 57.3%. Giant rose 20.3 points month-over-month, from 53.9% to 74.2%, and is up 16.8 points since baseline, from 57.4% to 74.2%, with a top-three rate up 14.8 points and a rank-one rate up 2.7 points. Santa Cruz rose 15.7 points month-over-month, from 47.8% to 63.5%, and is up 13.4 points since baseline, from 50.1% to 63.5%. Cannondale rose 16.5 points month-over-month, from 45.8% to 62.3%, and is up 12.7 points since baseline, from 49.6% to 62.3%; its top-three rate rose 1.9 points, from 4.3% in July 2026 to 6.2% in October 2026. Raw mention presence for Cannondale declined 6.6 points over the baseline period, from 85.6% to 79.0%.

Orbea and Pivot Cycles each moved upward from a lower base across the full series. Orbea gained 6.9 points to 21.0% since baseline, with a 2.4% top-three rate. Pivot Cycles gained 6.5 points to 20.6% since baseline, including a 5.8-point move this month. Cube Bikes was flat at 2.4% coverage, and Mondraker declined 0.7 points to 1.6% since baseline — both within normal month-to-month variation rather than a significant move.

Recommendation Placement Snapshot

Questions This Section Answers

• How do top-three and rank-one placement rates compare among Specialized, Trek, and Giant?
• Why can similar coverage rates still hide very different rank-one rates?

Specialized and Trek sit within 2.2 points of each other on top-three placement, but their rank-one rates differ by 14.5 points, showing that close coverage can still hide materially different first-position rates.

Buyer-Intent Distribution

All qualified observations in both the baseline and current month fell into 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

Top 10 Cited Domains

Questions This Section Answers

• Which domains received the most citations across AI platform responses?
• What types of sources dominate the citation mix, and are any brand-owned domains present?

Across all AI platform responses in this measurement period, 6,541 citations were observed across 1,041 unique domains.

Citations are spread broadly, with the top ten domains accounting for roughly 38 percent of all citations and the remaining 1,031 domains holding the balance. No tracked brand's own domain appears in the top ten. The mix is dominated by video and community platforms, cycling news outlets, and marketplace or resale sites, rather than official manufacturer pages.

Evidence and Source Layer

Questions This Section Answers

• What does source presence in AI responses tell us about the information environment?
• Does source presence prove that any particular source caused a recommendation?

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

Scope Boundaries

• This benchmark does not measure market share.
• It does not measure attributable sales.
• It does not capture every possible AI response.
• It does not measure organic-search ranking.
• It does not measure social mention volume.
• It does not include private or sponsored channels.
• It does not establish causality from any single metric movement.

About This Benchmark

The LLM Authority Index AI Visibility Market Discovery Index is a neutral industry benchmark that measures how brands appear, are recommended, and are positioned in AI-generated answers across six canonical AI/search surface families: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. It tracks presence, valid recommendation coverage, top-three placement, rank-one placement, and sentiment at the category level.

• 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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