CiteWorks Studio

Merrell AI Market Strategy Report - Hiking Boots, Trail Shoes, and Outdoor Footwear

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • Merrell led the category in September 2026 with 82.3% valid recommendation coverage and appeared in 97.8% of qualified AI responses.
  • Its top-three recommendation rate improved to 58.5%, but its rank-one rate remained low at 17.9%, well behind Salomon's 41.1%.
  • Gemini and Perplexity showed the biggest performance gaps, where Merrell was often present but rarely selected as the top recommendation.
  • Sentiment stayed strongly positive with 636 positive mentions and no negative mentions, indicating the main issue is ranking strength rather than brand framing.

Answer Capsule

Merrell remains the category leader in AI-generated recommendations for hiking boots, trail shoes, and outdoor footwear, holding 82.3% valid recommendation coverage in September 2026. The brand's leadership position is stable, but its coverage has drifted down 3.3 points since July 2026, and Salomon has narrowed the gap to roughly one point. Merrell's clearest strength is its top-three placement rate, which rose to 58.5% in September even as overall coverage eased. Its clearest weakness is a rank-one rate of 17.9%, far below Salomon's 41.1%, meaning Merrell is frequently shortlisted but less often selected as the single best option.

Who This Report Is For

This report is for Merrell's brand, marketing, and ecommerce leadership teams tracking how AI search systems discover and recommend the brand in high-intent outdoor footwear purchase conversations.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Merrell

Category / market studied

Hiking Boots, Trail Shoes, and Outdoor Footwear

Reporting month

September 2026

AI platforms tracked

6 (ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, AI Mode)

Public high-intent clusters

1 (Brand Recommendation)

AI observations analyzed

742

Competitors tracked

9

Executive Summary

Merrell holds the top position in AI-generated recommendations for hiking boots, trail shoes, and outdoor footwear, with 82.3% valid recommendation coverage across 742 qualified observations in September 2026. The brand appears in 97.8% of all qualified AI responses, giving it near-universal presence at the consideration stage. However, the benchmark shows a gradual two-month pullback from the July baseline of 85.6%, a decline that has not crossed the threshold for significant movement but is worth monitoring.

The brand's strongest signal is placement quality. Merrell's top-three rate rose to 58.5% in September 2026 from 50.9% in July, meaning the brand is appearing in the first three recommended options more often even as its overall coverage eases. The clearest gap is at rank one: Merrell is named the single best option in just 17.9% of observations, compared with Salomon's 41.1%. Similar coverage levels are hiding very different first-position rates.

Merrell's sentiment profile is strongly positive, with 636 positive mentions, 90 neutral mentions, and no negative mentions recorded in September 2026. The net sentiment score of 0.876 is the second-highest in the category behind Salomon. The brand's strongest platform signal is AI Overviews, where it reaches 91.1% valid recommendation coverage and a 73.2% top-three rate. Its clearest platform gap is Gemini, where coverage drops to 67.7% and the rank-one rate falls to 4.3%.

The competitive picture shows a two-brand race at the top. Merrell and Salomon are separated by just 1.2 percentage points in coverage, down from a 2.3-point gap in July. Salomon leads outright on recommendation strength, converting its presence into first-place recommendations at more than twice Merrell's rate.

What Merrell Is Winning

Questions This Section Answers

  • What evidence-backed strengths support Merrell's category leadership?
  • How did Merrell's top-three recommendation rate change since July 2026?

Merrell's category leadership is the clearest win. The brand holds 82.3% valid recommendation coverage, the highest in the category, and has maintained the top position across all three months of the measured series.

The brand's top-three rate improvement is a second evidence-backed win. Merrell's top-three rate rose to 58.5% in September 2026 from 50.9% in July, a gain of 7.6 points even as overall coverage eased. This suggests the brand is winning a larger share of the consideration set in the answers where it appears.

Merrell's near-universal presence is another strength. The brand appears in 97.8% of qualified observations, meaning AI systems almost always name Merrell when discussing hiking boots, trail shoes, or outdoor footwear. This presence foundation supports the brand's recommendation coverage.

The brand's sentiment profile is clean. Merrell recorded 636 positive mentions and zero negative mentions in September 2026, with a net sentiment score of 0.876. No tracked brand in the category shows a meaningfully stronger framing profile.

Where Merrell Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Where does Merrell lose rank-one recommendations to Salomon?
  • Which platform shows the widest gap between Merrell's presence and its first-place selection rate?

Merrell's clearest gap is at rank one. The brand is named the single best option in 17.9% of observations, while Salomon achieves 41.1%. This means Salomon is converting recommendation presence into first-place selection at more than twice Merrell's rate, despite nearly identical coverage levels.

The platform breakdown shows where this gap concentrates. Merrell's rank-one rate is strongest on ChatGPT at 29.6% and AI Overviews at 27.4%, but falls to 11.9% on Copilot, 7.2% on Perplexity, and 4.3% on Gemini. Salomon outperforms Merrell on every tracked platform, with particularly wide gaps on Perplexity (52.6% versus 7.2%) and Copilot (46.7% versus 11.9%).

Gemini is Merrell's clearest platform weakness. Valid recommendation coverage drops to 67.7% on Gemini, below the brand's overall 82.3% average, and the rank-one rate of 4.3% is the lowest across all six tracked platforms. This suggests Merrell is present in Gemini answers but is not being positioned as the leading choice.

The coverage trend also warrants attention. Merrell's valid recommendation coverage has declined in each month of the series, from 85.6% in July to 84.5% in August and 82.3% in September. While the benchmark does not classify this as a significant movement, the direction is consistent and the gap to Salomon has narrowed to roughly one point.

Biggest Opportunity

Questions This Section Answers

  • What is the clearest path to strengthening Merrell's recommendation power?
  • Which platforms should Merrell prioritize for converting top-three presence into rank-one recommendations?

Merrell's biggest opportunity is converting its strong top-three presence into more rank-one recommendations, particularly on platforms where it is present but not selected first. The brand's top-three rate of 58.5% shows that AI systems consistently place Merrell in the leading consideration set. The gap between that rate and the 17.9% rank-one rate represents the clearest path to strengthening recommendation power.

The evidence points to Perplexity and Gemini as the highest-priority platforms for this work. Merrell holds a 77.3% valid recommendation coverage on Perplexity but converts only 7.2% of observations into rank-one placement, while Salomon converts 52.6%. On Gemini, Merrell's coverage is 67.7% with a 4.3% rank-one rate. These platforms show the largest gap between presence and first-place selection.

Competitive Landscape

Questions This Section Answers

  • How does Merrell compare with Salomon on top-three, rank-one, and average recommended rank?
  • Which brands form the leading cluster in AI-generated hiking footwear recommendations?

Salomon and Merrell form a tight two-brand cluster at the top of the category, with HOKA in third place and a wide drop to the rest of the field. Salomon leads on recommendation strength despite marginally lower coverage, while Merrell holds the overall coverage edge.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Salomon

61.86%

41.11%

1.77

0.8865

Merrell

58.49%

17.92%

2.36

0.876

HOKA

43.13%

10.24%

2.96

0.852

La Sportiva

12.40%

2.29%

4.23

0.8523

Altra

12.26%

1.62%

4.31

0.8402

KEEN

12.26%

2.43%

4.33

0.7894

Danner

3.64%

0.13%

5.15

0.736

Oboz

3.10%

0.67%

5.38

0.8306

Columbia Sportswear

2.70%

0.40%

5.24

0.6011

Vasque

0.27%

0.00%

5.50

0.5625

Average recommended rank covers rank-eligible recommendations only.

The table shows Merrell holding the second-highest top-three rate and the second-best average recommended rank in the category. Salomon's rank-one rate of 41.11% is more than double Merrell's 17.92%, which is the core competitive dynamic in this category. Merrell's sentiment score of 0.876 is nearly identical to Salomon's 0.8865, so framing quality is not the differentiator.

Prompt Evidence

AI Overviews / Best Hiking Boots and Trail Shoes Prompt: "What are the best waterproof hiking boots on the market?" Result: Merrell appears in the top-three recommendation set with a 73.2% top-three rate on this platform, its strongest placement signal.

Perplexity / Best Hiking Boots and Trail Shoes Prompt: "What is the best hiking boot for men?" Result: Merrell is named in the answer but is displaced from the first recommendation position, with Salomon taking the rank-one slot in 52.6% of Perplexity observations.

Gemini / Best Hiking Boots and Trail Shoes Prompt: "What are the best hiking boots brands?" Result: Merrell appears in 98.9% of Gemini responses but converts to a rank-one recommendation only 4.3% of the time, showing presence without first-place selection.

ChatGPT / Best Hiking Boots and Trail Shoes Prompt: "What is the best women's hiking boot?" Result: Merrell achieves its strongest rank-one performance on ChatGPT at 29.6%, indicating platform-specific variation in how the brand is positioned.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific high-intent prompts where Merrell is shortlisted but not selected first, with particular focus on Perplexity and Gemini answer patterns.

Phase 2: Recommendation Readiness Plan Identify which product attributes, use cases, and comparison criteria AI systems associate with Merrell versus Salomon, and where the public evidence layer underrepresents Merrell's strengths.

Phase 3: Owned Answer Layer Buildout Develop owned content that answers the specific hiking boot and trail shoe questions where Merrell loses rank-one placement, covering waterproofing, comfort, durability, and category-specific comparisons.

Phase 4: Citation / Authority Layer Development Strengthen the backlink-supported evidence layer and source footprint that AI systems can retrieve when forming recommendations, prioritizing the platforms where Merrell's presence-to-recommendation conversion is weakest.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Merrell's rank-one rate and platform-level coverage monthly to measure whether the gap to Salomon narrows and to catch any further erosion in overall coverage.

Why This Matters

AI-generated recommendations are becoming the first filter in outdoor footwear purchase decisions. When a shopper asks an AI system for the best hiking boots, the brands named first and most often shape the consideration set before the buyer ever reaches a brand website or retailer. Merrell's near-universal presence means it is almost always part of that conversation, but presence alone is not enough.

The gap between Merrell's 58.5% top-three rate and its 17.9% rank-one rate shows that AI systems frequently recommend Merrell without selecting it as the best option. The next move is targeted correction of the prompt, page, and citation layers that influence which brand AI systems put first, particularly on platforms where Merrell is present but not winning the recommendation.

Core Metrics

Metric

Value

Mentions

726

Valid recommendations

611

Top 3 recommendation count

434

Rank #1 recommendation count

133

Average recommended rank

2.36

Positive mentions

636

Neutral mentions

90

Negative mentions

0

Raw mention presence rate

97.84%

Valid recommendation coverage

82.35%

Top 3 recommendation rate

58.49%

Rank #1 recommendation rate

17.92%

Net sentiment score

0.876

Strongest cluster by recommendation behavior

Best Hiking Boots and Trail Shoes

Strongest platform by recommendation behavior

AI Overviews

Sentiment Score

Sentiment Score = (positive mentions × 1 + neutral mentions × 0 + negative mentions × -1) / total mentions

For Merrell in September 2026, this calculation is (636 × 1 + 90 × 0 + 0 × -1) / 726, producing a net sentiment score of 0.876.

This score matters because unclassified mention counts are misleading. A brand can appear in hundreds of AI responses, but those mentions carry very different weight depending on whether they are positive recommendations, neutral references, cautionary mentions, or competitor-displaced mentions. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, neutral reference, cautionary mention, and competitor-displaced mention are not equal, and counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

81

70

11

0

0.8642

Strongest rank-one signal

Copilot

88

82

6

0

0.9318

Strongest positive framing

Gemini

92

70

22

0

0.7609

Present, but not recommendation-led

Perplexity

92

80

12

0

0.8696

Strong presence, weak rank-one conversion

AI Overviews

187

179

8

0

0.9572

Strongest public recommendation signal

AI Mode

186

155

31

0

0.8333

High coverage, moderate rank-one rate

Methodology

  1. This report is a benchmark-based analysis of Merrell's AI visibility and recommendation positioning in the hiking boots, trail shoes, and outdoor footwear category. It is not a client implementation case study.
  2. The reporting window is September 2026, with July 2026 and August 2026 used as comparison points where the benchmark provides historical context.
  3. Six AI/search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
  4. The benchmark produced 742 qualified observations in September 2026 from an initial collection of 800 prompt-surface observations.
  5. The September run used 529 unique questions across the tracked surface universe.
  6. The competitor universe includes 10 tracked brands: Altra, Columbia Sportswear, Danner, HOKA, KEEN, La Sportiva, Merrell, Oboz, Salomon, and Vasque.
  7. All qualified observations in September 2026 fell into the Brand Recommendation buyer-intent class. No qualified observations were recorded for Pricing and Value or Multi-Brand Comparison clusters.
  8. Stage 0 extraction captured prompt-level observations including the query, AI surface, answer, brand outcome, recommendation placement, and sentiment where expressed.
  9. A mention is defined as any appearance of a tracked brand in an AI response, regardless of whether the brand is recommended.
  10. A valid recommendation is defined as a clear, actionable recommendation naming the brand, distinct from a neutral reference or cautionary mention.
  11. The public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, or private or sponsored channels. A movement in a metric alone does not establish causality.
  12. Columbia Sportswear's August 2026 data contains a naming inconsistency and should not be used for month-over-month trend comparisons involving that brand.

Get Your AI Visibility Audit

The public benchmark shows where Merrell stands in AI-generated recommendations, but the aggregate coverage percentage hides the specific decisions that drive it. A company-level AI visibility audit maps the exact prompts, surfaces, competitor displacement patterns, and evidence sources behind Merrell's recommendation outcomes, turning the benchmark findings into a prioritized visibility strategy.

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Understanding AI search visibility.

AI search experiences create answers by pulling information from many places online and summarizing it into a single response.

What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
What Is Citation Architecture?
Citation architecture describes the set of sources that consistently inform how AI systems talk about a brand, product, or topic. LLMs draw from websites, articles, forums, and public discussion, and the sources they rely on most often become the backbone of their answers. Building strong citation architecture means ensuring that accurate, credible, high authority sources are the ones most likely to shape the way AI tools summarize and recommend a brand.
What Is Generative Engine Optimization?
Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
What Is AI Share of Voice?
AI share of voice tracks how often a brand appears in AI-generated answers compared with competitors in the same category. It reflects visibility across AI platforms such as ChatGPT, Gemini, Claude, and Perplexity. Monitoring AI share of voice helps organizations see whether AI systems consistently include and recommend their brand for key queries or whether competitor brands are showing up more often.

About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

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