Scheels AI Market Strategy Report - Outdoor Retail and Gear Marketplaces

Answer Capsule

Scheels holds 11.6% valid recommendation coverage in the Outdoor Retail and Gear Marketplaces category for September 2026, placing it fifth among ten tracked brands. The benchmark shows Scheels is visible but under-recommended relative to its raw mention presence of 44.4%, meaning the brand appears in AI answers far more often than it is actually recommended. Its clearest win is placement quality: when Scheels is recommended, it ranks first 3.2% of the time, the second-highest rank-one rate in the category. Its clearest weakness is breadth: valid recommendation coverage fell 3.4 points from August 2026, the largest decline of any tracked brand. The clearest opportunity is converting its substantial neutral mention volume into valid recommendation credit.

Who This Report Is For

This report is for Scheels marketing, ecommerce, and brand strategy leaders who need to understand how AI research surfaces are recommending outdoor retailers, and where Scheels is losing shortlist position to competitors.

Report Card

Executive Summary

Scheels enters October 2026 with a visibility-to-recommendation gap that the benchmark data makes clear. The brand appeared in 44.4% of qualified observations in September 2026, but received valid recommendation credit in only 11.6% of them. That gap of 32.8 percentage points is the widest among the top five brands by recommendation coverage, and it signals that AI systems mention Scheels frequently without positioning it as a recommended choice.

The month-over-month movement was negative. Scheels fell from 15.0% valid recommendation coverage in August 2026 to 11.6% in September 2026, a decline of 3.4 points. This was the largest coverage decline of any tracked brand in the category. Raw mention presence also fell, from 49.1% to 44.4%. The benchmark classified the movement as within normal month-to-month variation, but the direction and magnitude warrant attention.

The decline was not uniform across all metrics. Scheels improved its recommended rank-one rate from 2.5% in August 2026 to 3.2% in September 2026, and its top-three rate rose from 6.2% to 7.3%. This means that when Scheels was recommended, it was placed higher than in the prior month. The challenge is breadth of recommendation, not ranking strength within recommendations.

The strongest platform signal for Scheels is Google AI Mode, where the brand recorded a 10.3% top-three rate and a 5.8% rank-one rate across 155 observations. Google AI Overviews also showed meaningful presence, with a 13.5% top-three rate and a 4.5% rank-one rate. These two surfaces account for the majority of Scheels' recommendation activity.

The clearest platform gap is Perplexity, where Scheels recorded zero top-three placements and a 7.3% valid recommendation coverage rate across 69 observations. Copilot also showed weakness, with a 1.8% top-three rate and a 1.8% rank-one rate across 55 observations. These surfaces represent underdeveloped recommendation channels.

The competitive picture is challenging. REI leads the category with 32.8% valid recommendation coverage, nearly three times Scheels' rate. Bass Pro Shops holds second at 21.0%, and Cabela's third at 16.1%. Scheels sits fifth, behind Backcountry at 14.6%. The gap to the leader widened from 17.4 points in August 2026 to 21.2 points in September 2026.

What Scheels Is Winning

Questions This Section Answers

• Where does Scheels rank first more often than its outdoor retail competitors?
• Which platforms produced the strongest top-three placements for Scheels?
• Does Scheels face any negative framing problem in AI answers?

Scheels holds the second-highest rank-one rate in the category at 3.2%, behind only REI at 16.9%. This means that when AI systems do recommend Scheels, they place it first more often than they do for Bass Pro Shops (2.1%), Cabela's (0.9%), or Backcountry (0.6%). The brand has demonstrated the ability to earn first-position recommendations.

The brand also showed improvement in placement quality during a month when its overall coverage declined. The top-three rate rose from 6.2% to 7.3%, and the rank-one rate rose from 2.5% to 3.2%. This suggests that the recommendations Scheels did earn in September 2026 were stronger than those it earned in August 2026.

On Google AI Mode, Scheels recorded a 10.3% top-three rate and a 5.8% rank-one rate, representing 16 top-three placements and 9 rank-one placements across 155 observations. This platform produced the highest volume of Scheels recommendations in the dataset.

On Google AI Overviews, Scheels recorded a 13.5% top-three rate and a 4.5% rank-one rate, with 15 top-three placements and 5 rank-one placements across 111 observations. The brand's positive visibility rate on this platform was 19.8%.

Scheels recorded zero negative mentions across all platforms in September 2026. Its net sentiment score was 0.346, indicating that mentions were predominantly neutral or positive. The brand does not face a framing problem in AI answers.

Where Scheels Has the Clearest AI Visibility Gaps

Questions This Section Answers

• How often do Scheels mentions convert into valid recommendations?
• Which platforms show the widest visibility-to-recommendation gap for Scheels?

The primary gap is recommendation conversion. Scheels appeared in 237 of 534 qualified observations, but received valid recommendation credit in only 62 of them. The brand is present in AI answers at nearly four times the rate it is recommended. This pattern suggests that AI systems recognize Scheels as a relevant entity in the outdoor retail category but do not consistently position it as a recommended choice.

The decline in coverage from August 2026 to September 2026 was broad-based. Raw mention presence fell 4.7 points, and valid recommendation count dropped from 78 to 62. The brand lost 16 valid recommendations month over month. The benchmark did not identify which competitors captured those displaced recommendations, but the category structure remained stable, meaning the recommendations shifted within the existing brand set rather than to new entrants.

Perplexity represents a significant platform gap. Across 69 observations, Scheels recorded zero top-three placements and a 7.3% valid recommendation coverage rate. By comparison, REI recorded a 15.9% top-three rate on Perplexity, and Bass Pro Shops recorded 10.1%. Scheels is present on Perplexity but not recommended at meaningful rates.

Copilot shows a similar pattern. Across 55 observations, Scheels recorded a 1.8% top-three rate and a 1.8% rank-one rate. The brand's raw mention presence on Copilot was 41.8%, meaning it appeared in nearly half of observations but was almost never recommended. This is the starkest visibility-to-recommendation gap in the platform data.

The gap to Cabela's narrowed in a way that benefits Scheels. In August 2026, Scheels at 15.0% trailed Cabela's at 18.7% by 3.7 points. In September 2026, Scheels at 11.6% trails Cabela's at 16.1% by 4.5 points. The gap widened slightly, but both brands declined, and the relative position remained stable.

The gap to Backcountry is more concerning. Backcountry rose from 14.1% in August 2026 to 14.6% in September 2026, while Scheels fell from 15.0% to 11.6%. This moved Backcountry ahead of Scheels in the category rankings, from fourth to fifth for Scheels and from fifth to fourth for Backcountry.

Biggest Opportunity

Questions This Section Answers

• Where can Scheels convert neutral mentions into valid recommendation credit?
• Which high-intent prompts already surface Scheels without recommending it?

The single clearest opportunity for Scheels is converting its substantial neutral mention volume into valid recommendation credit on Google AI Mode and Google AI Overviews. These two platforms already produce the majority of Scheels' recommendations, and the brand has demonstrated rank-one capability on both. The neutral mention count of 155 across all platforms represents mentions where Scheels appeared but was not classified as a positive recommendation. Moving even a portion of those neutral mentions into recommendation contexts would materially improve coverage.

The prompt evidence suggests that Scheels is surfaced for product-specific and activity-specific queries such as hiking pants, camping toilets, and wading boots. These are high-intent prompts where a recommendation carries direct commercial weight. The opportunity is to ensure that when Scheels appears in response to these prompts, it appears as a recommended option rather than a neutral reference.

Competitive Landscape

Questions This Section Answers

• Who leads the Outdoor Retail and Gear Marketplaces category in recommendation coverage?
• How does Scheels' rank-one rate compare to its top-three rate against competitors?

REI holds dominant recommendation power in the Outdoor Retail and Gear Marketplaces category, with Bass Pro Shops and Cabela's forming a second tier. Scheels sits in the middle of the tracked set, ahead of Academy Sports + Outdoors and Sierra on coverage but behind Backcountry on recommendation rate.

Average recommended rank covers rank-eligible recommendations only.

Scheels ranks fifth by top-three rate but second by rank-one rate, indicating that the brand's recommendations are concentrated at the top when they occur. Its average recommended rank of 2.40 is the best in the category after REI, suggesting that Scheels recommendations tend to appear in high positions.

Prompt Evidence

Questions This Section Answers

• Which high-intent prompts surfaced Scheels, and where did it place in the response?
• Where did Scheels appear without earning a top-three recommendation?

Google AI Mode / Best Outdoor Gear and Retailer Discovery Prompt: "What is the best cooler for keeping ice the longest?" Result: Scheels appeared in the response but was not placed in a top-three recommendation position.

Google AI Overviews / Best Outdoor Gear and Retailer Discovery Prompt: "camping stores near me" Result: Scheels was recommended in a top-three position, contributing to its 13.5% top-three rate on this platform.

ChatGPT / Best Outdoor Gear and Retailer Discovery Prompt: "Where can I get a good quality backpack?" Result: Scheels received a valid recommendation, one of 14 valid recommendations on ChatGPT across 72 observations.

Perplexity / Best Outdoor Gear and Retailer Discovery Prompt: "hiking pants" Result: Scheels appeared in the response but received no top-three placement, consistent with its zero top-three rate on Perplexity.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map every prompt where Scheels appears but is not recommended, and identify the specific language patterns and source gaps that separate neutral mentions from valid recommendations.

Phase 2: Recommendation Readiness Plan Prioritize the prompts and platforms where Scheels has the highest visibility-to-recommendation gap, starting with Copilot and Perplexity where the gap is widest.

Phase 3: Owned Answer Layer Buildout Develop owned content that directly addresses the high-intent prompts where Scheels is visible but under-recommended, with clear recommendation signals that AI systems can retrieve and synthesize.

Phase 4: Citation / Authority Layer Development Strengthen the public evidence layer around Scheels product expertise, store experience, and category authority so AI systems have stronger source material to support recommendations.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Scheels' recommendation coverage, top-three rate, and rank-one rate month over month across all six platforms to measure whether the visibility-to-recommendation gap is closing.

Why This Matters

AI presence alone is not enough. Scheels appears in 44.4% of qualified AI observations, but that presence converts to a valid recommendation only 11.6% of the time. The brands that win in AI-led discovery are the ones that convert visibility into recommendation, not the ones that simply appear.

The next move is targeted correction of the prompt, page, and citation layers that determine whether AI systems recommend Scheels or merely mention it. The benchmark shows where Scheels is losing ground. The remediation work is about closing the gap between being seen and being chosen.

Core Metrics

Sentiment Score

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

For Scheels in September 2026: (82 × 1 + 155 × 0 + 0 × -1) / 237 = 0.3460

This score matters because unclassified mention counts are misleading. A brand that appears frequently but is never recommended is not in a strong position, even if its raw mention count is high. Share of voice is a diagnostic metric, not a business KPI.

A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal. Counting all mentions as wins is bad measurement. Scheels' 155 neutral mentions represent appearances where the brand was referenced but not positioned as a recommended choice. Those mentions do not carry the same commercial weight as the 82 positive mentions.

Classified sentiment is required before interpreting AI visibility. The 0.3460 score indicates that Scheels mentions are predominantly neutral, with a meaningful positive component and no negative framing. The opportunity is to shift neutral mentions toward positive recommendation contexts.

Sentiment by Platform

Questions This Section Answers

• Which platforms show Scheels as positive versus merely present in AI answers?
• Where does Scheels' sentiment score reflect context mentions rather than recommendations?

Methodology

1. This report is a benchmark-based analysis of Scheels' position in the Outdoor Retail and Gear Marketplaces category, using data from the LLM Authority Index AI Market Discovery Index for September 2026.
2. The reporting window is September 2026, with month-over-month comparison to August 2026.
3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
4. The benchmark produced 534 qualified observations in September 2026, up from 519 in August 2026.
5. Ten brands were tracked in the competitor universe: REI, Bass Pro Shops, Cabela's, Backcountry, Scheels, Academy Sports + Outdoors, Sierra, Public Lands, evo, and CampSaver.
6. All qualified observations in September 2026 fell into the Brand Recommendation buyer-intent cluster. The benchmark did not contain qualified observations in the Pricing & Value or Multi-Brand Comparison clusters.
7. The benchmark collected 800 prompt-surface observations in September 2026, of which 647 were unique questions. After qualification, 534 observations were used for all recommendation metrics.
8. A mention is defined as any appearance of a brand in an AI response, regardless of whether the brand was recommended.
9. A valid recommendation is defined as an appearance where the brand was positioned as a recommended choice, not merely referenced or listed.
10. Top-three rate measures the share of qualified observations where the brand was recommended in one of the first three positions. Rank-one rate measures the share where the brand was the first recommendation.
11. Average recommended rank covers rank-eligible recommendations only. Brands with no rank-eligible recommendations are marked N/A.
12. Movement between months is directional analysis. It identifies changes worth investigating but does not by itself establish the cause of those changes. Several brands in this category, including Scheels, have moderate valid recommendation counts, and their coverage rates are sensitive to small absolute changes.

See Where AI Is Recommending Your Brand

The public benchmark shows where Scheels stands in the category. A company-level AI visibility audit maps the specific prompts, platforms, and source patterns that determine whether AI systems recommend Scheels or merely mention it. The audit identifies which competitors are capturing displaced recommendations and what evidence would shift the recommendation in Scheels' favor.