Outdoor Apparel and Technical Outfits: AI Visibility Market Discovery Index

Benchmark Summary

Questions This Section Answers

• Which brand leads outdoor apparel AI recommendation coverage in October 2026, and by how much?
• Why did REI's coverage rise and REI Co-op's fall so sharply versus baseline?
• Did any tracked brand decline from September to October 2026 beyond normal variation?

Patagonia leads the category in valid recommendation coverage in October 2026 at 86.2%, ahead of Arc'teryx at 78.3%, a gap of 7.9 points. The largest coverage increase since baseline came from REI, which moved from a reconstructed baseline of 0.0% in Aug 2026 to 67.7% in October 2026, reflecting a brand-name tracking change from REI Co-op. The largest coverage decline since baseline came from REI Co-op, moving from 67.1% in Aug 2026 to 0.0% in October 2026, a drop of 67.1 points tied to a tracking change rather than a market shift.

The month was mixed overall, with significant movement in both directions. Patagonia recorded the largest prior-to-current move among tracked brands, rising from 75.4% in September 2026 to 86.2% in October 2026, a gain of 10.8 points that moved beyond normal month-to-month variation. Outdoor Research also posted a significant prior-to-current increase, from 54.3% in September 2026 to 63.6% in October 2026, up 9.3 points. Arc'teryx rose from 69.7% in September 2026 to 78.3% in October 2026, up 8.6 points. Marmot moved from 22.0% in September 2026 to 27.2% in October 2026, up 5.2 points. REI continued its climb, from 62.4% in September 2026 to 67.7% in October 2026, up 5.3 points. Beyond the brand-name transition, no brand declined from September to October beyond normal variation.

Across the full Aug 2026 to October 2026 series, Patagonia and REI were the only significant risers, while REI Co-op was the sole significant decliner, reflecting its removal from the current tracked set. Arc'teryx, Outdoor Research, and Columbia Sportswear each rose versus baseline within normal variation, while The North Face, Mountain Hardwear, KÜHL, Black Diamond, and Marmot registered smaller or flat changes within normal variation. The benchmark began with 800 prompt-surface observations in each month and produced 702 qualified observations in Aug 2026 and 665 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: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. All six families were represented in every month of the series.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Outdoor Apparel and Technical Outfits

Research Scope and Qualification

Questions This Section Answers

• How many of the 800 prompt-surface observations qualified for the public benchmark?
• Why are brand percentages calculated against qualified observations rather than the raw collection?

The public benchmark is narrower than the raw collection universe by design. The funnel below shows how observations were qualified.

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

Current Brand Standings

Questions This Section Answers

• Which outdoor apparel brands rank highest on valid recommendation coverage in October 2026?
• How do presence rate, top-three rate, and rank-one rate differ across the tracked brands?

This table is the primary current-month benchmark view for October 2026, sorted by valid recommendation coverage.

How to Read the Standings

• Presence rate is the share of qualified observations in which the brand is mentioned at all, regardless of recommendation status.
• Valid recommendation coverage is the share of qualified observations in which the brand appears in a valid recommendation shortlist.
• Top-three rate is the share of qualified observations in which the brand appears among the top three recommended options.
• Rank-one rate is the share of qualified observations in which the brand is the first recommended option.
• Net sentiment is the balance of positive over negative mentions among observations where the brand appears.

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

Recommendation Coverage Movement

Questions This Section Answers

• Which brands made the largest coverage gains since the August 2026 baseline?
• What explains REI Co-op's 67.1-point decline versus baseline?

Largest Increase: Patagonia

Patagonia recorded the largest significant coverage increase among continuing tracked brands, rising from 75.4% in September 2026 to 86.2% in October 2026, an increase of 10.8 points that moved beyond normal variation. Versus baseline, coverage rose from 80.8% in Aug 2026 to 86.2% in October 2026, up 5.4 points, which also cleared the significance threshold. The brand's top-three rate climbed 9.5 points to 75.5%, and its rank-one rate rose from 47.9% to 53.8%, up 5.9 points. Presence held near its ceiling at 97.9%, and net sentiment reached 0.94, the highest in the tracked set. Patagonia recorded 573 valid recommendation observations in October 2026.

Largest Decline: REI Co-op

REI Co-op shows a decline from 67.1% in Aug 2026 to 0.0% in October 2026, a drop of 67.1 points. This movement reflects the brand-name tracking change rather than a change in the underlying market. REI Co-op is not part of the current tracked set, and its prior-month comparison shows no change, meaning the decline is fully accounted for by the transition to REI as the tracked entity in the current series.

Category Leader: Patagonia

Patagonia holds the category lead for valid recommendation coverage in October 2026 at 86.2%, up from 80.8% in Aug 2026. The increase of 5.4 points moved beyond normal month-to-month variation, and the prior-to-current gain of 10.8 points was similarly significant. Presence was 97.9%, and the rank-one rate of 53.8% means Patagonia was named first in more than half of the qualified observations where it appeared. The brand recorded 573 valid recommendation observations in October 2026.

Recommendation Placement Snapshot

Questions This Section Answers

• How does Patagonia's top-three and rank-one placement compare with Arc'teryx despite similar coverage?
• What does REI's placement profile show about its shortlist position?

Coverage alone does not show how prominently a brand is recommended. The three highest-coverage brands in October 2026 show distinct placement profiles.

Patagonia and Arc'teryx both appear in the top three in a majority of observations where they are recommended, yet Patagonia is named first in 53.8% of observations versus 12.8% for Arc'teryx. Close coverage totals can still hide very different first-position rates, and REI's 25.0% top-three rate sits well below both leaders despite coverage within 18.5 points of Arc'teryx.

Buyer-Intent Distribution

Questions This Section Answers

• What buyer-intent class do all qualified outdoor apparel observations fall into?
• Why are pricing and multi-brand comparison classes absent from the current series?

All qualified observations in both Aug 2026 and October 2026 fell into the Brand Recommendation class, where the AI response recommends one or more specific brands.

The current public series measures brand-recommendation discovery only, and does not yet contain qualified observations in the pricing 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

Questions This Section Answers

• Which domains are cited most often in outdoor apparel AI recommendation responses?
• Why does source presence not prove that a citation caused a recommendation?

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 that the source caused the recommendation.

Top 10 Cited Domains

Across all AI platform responses in this measurement period, 6,480 citations were observed across 1,127 unique domains.

Citations are broadly distributed, with the top 10 domains accounting for roughly 41% of all citations and 1,127 unique domains appearing across the 6,480 total citations. Review and comparison sites dominate the top of the list, led by outdoorgearlab.com, switchbacktravel.com, and gearjunkie.com, alongside community sources such as reddit.com and youtube.com. Among tracked brands, rei.com is the only brand-owned domain in the top 10, appearing at rank five with a 4.5% share.

Scope Boundaries

This public benchmark does not measure market share, attributable sales, or the full universe of possible AI responses. It does not capture organic-search ranking, social mention volume, or private and sponsored channels such as branded plugins or paid placements inside AI assistants. Observations reflect what public-facing AI surfaces returned at the time of collection. A movement in any single metric does not, by itself, establish a causal explanation.

About This Benchmark

The LLM Authority Index AI Visibility Market Discovery Index is an independent, neutral industry benchmark that tracks how often and how prominently brands appear in AI-generated discovery responses across major AI and search surfaces. It is published monthly with consistent methodology so that changes over time are comparable.

• 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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