CiteWorks Studio

Horizon Fitness AI Market Strategy Report - Treadmills

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • Horizon Fitness ranked third in treadmill recommendation coverage at 57.81%, appearing in 248 of 429 qualified observations.
  • The brand showed broad AI presence with a 69.23% raw mention rate, but only 38.69% of observations converted into top-three recommendations.
  • Rank-one performance was the main weakness, with Horizon Fitness named first in just 1.86% of observations and trailing NordicTrack by more than 50 points.
  • Sentiment was consistently positive, with 262 positive mentions, 35 neutral mentions, no negative mentions, and a net sentiment score of 0.8822.

Answer Capsule

Horizon Fitness holds strong AI search visibility in the treadmill category, with a 57.81% valid recommendation coverage rate in September 2026, placing it third among ten tracked brands. The brand appears in 69.23% of qualified AI observations but converts that presence into top-three recommendations only 38.69% of the time, and into rank-one recommendations just 1.86% of the time. Horizon Fitness was the only brand besides Precor to register a measurement-side interruption in August 2026, returning to near-baseline levels in September. The clearest opportunity is converting its broad recommendation coverage into first-position recommendations, where it currently trails NordicTrack by more than 50 percentage points.

Who This Report Is For

This report is for Horizon Fitness marketing, brand, and ecommerce leaders who need to understand how AI systems recommend treadmills and where the brand is winning or losing at the recommendation stage.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Horizon Fitness

Category / market studied

Treadmills

Reporting month

September 2026

AI platforms tracked

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

Public high-intent clusters

1 active (Brand Recommendation)

AI observations analyzed

429 qualified observations

Competitors tracked

9

Executive Summary

Horizon Fitness enters September 2026 with a 57.81% valid recommendation coverage rate, placing it third in the treadmill category behind NordicTrack at 69.70% and Sole Fitness at 58.04%. The brand's raw mention presence rate of 69.23% indicates it appears in roughly seven of every ten qualified AI responses about treadmill recommendations, but its top-three recommendation rate of 38.69% shows that presence does not consistently convert into shortlist placement.

The brand's rank-one rate of 1.86% represents the clearest gap in its recommendation profile. While Horizon Fitness earns valid recommendation credit in 248 of 429 qualified observations, it is named as the single best answer in only 8 observations. This pattern suggests AI systems recognize Horizon Fitness as a legitimate option but rarely position it as the default or primary recommendation.

Sentiment framing for Horizon Fitness is strongly positive, with a net sentiment score of 0.8822 and zero negative mentions across 297 classified mentions. The brand recorded 262 positive mentions and 35 neutral mentions in September 2026. This framing quality indicates AI systems describe Horizon Fitness favorably when they mention it, even when they do not place it at the top of recommendation lists.

Platform-level data shows Horizon Fitness performs strongest on Google AI Mode, where it holds a 45.95% valid recommendation coverage rate and a 28.83% top-three rate. The brand also performs well on ChatGPT with a 74.29% valid recommendation coverage rate and on Google AI Overviews with a 66.04% coverage rate. Gemini shows the strongest top-three performance at 52.86%, though rank-one placement remains low across all platforms.

The August 2026 measurement interruption, which recorded Horizon Fitness at 0.00% coverage, appears to have been an instrument-side artifact rather than a genuine visibility loss. The September 2026 reading of 57.81% aligns closely with the July 2026 baseline of 58.40%, supporting the interpretation that the brand's recommendation coverage has remained stable across the three-month series.

The clearest opportunity for Horizon Fitness is closing the gap between recommendation coverage and rank-one placement. The brand appears in more than half of qualified recommendation shortlists but converts to first position in fewer than two percent of observations. This gap represents the difference between being on the buyer's shortlist and being the answer the buyer sees first.

What Horizon Fitness Is Winning

Questions This Section Answers

  • Where does Horizon Fitness rank in AI recommendation coverage compared with other treadmill brands?
  • Which AI platforms give Horizon Fitness the strongest recommendation coverage and top-three placement?
  • How has Horizon Fitness's top-three placement rate changed since the July baseline?

Horizon Fitness holds the third-highest valid recommendation coverage in the treadmill category at 57.81%, trailing only NordicTrack and Sole Fitness. This position places the brand firmly in the top tier of AI-recommended treadmill options.

The brand's sentiment profile is among the strongest in the category. With a net sentiment score of 0.8822 and zero negative mentions across 297 classified mentions, Horizon Fitness receives consistently favorable framing when AI systems discuss it. Only Echelon at 0.9109 and Sole Fitness at 0.873 record higher sentiment scores among brands with substantial mention volume.

Horizon Fitness performs particularly well on Google AI Overviews, where it holds a 66.04% valid recommendation coverage rate and a 50.00% top-three rate. The brand also shows strong coverage on ChatGPT at 74.29% and on Google AI Mode at 45.95%. These platform-level results indicate the brand has established a retrievable evidence layer that AI systems can access and synthesize.

The brand's top-three rate of 38.69% represents a meaningful improvement from July 2026, when it stood at 29.30%. This 9.39 percentage point gain suggests Horizon Fitness is being placed in recommendation shortlists more frequently than in the baseline month.

Where Horizon Fitness Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why does Horizon Fitness convert recommendation coverage into rank-one placement so rarely?
  • On which AI platforms does Horizon Fitness achieve zero rank-one placements?
  • How far does Horizon Fitness trail NordicTrack on first-position recommendations?

The most significant gap for Horizon Fitness is rank-one placement. The brand holds a 1.86% rank-one rate in September 2026, meaning it is named as the single best treadmill recommendation in fewer than two of every hundred qualified observations. By comparison, NordicTrack holds a 51.98% rank-one rate, and even Sole Fitness, which has similar coverage to Horizon Fitness, achieves a 4.66% rank-one rate.

This gap between coverage and first-position placement suggests AI systems treat Horizon Fitness as a valid option but not as the default answer. The brand appears in recommendation shortlists alongside competitors but rarely emerges as the primary recommendation when users ask for a single best treadmill.

Platform-level analysis reveals that Horizon Fitness achieves zero rank-one placements on ChatGPT, Copilot, Perplexity, and Google AI Overviews. The brand's only rank-one appearances occur on Gemini at 1.43% and Google AI Mode at 2.70%. This pattern indicates the brand's first-position visibility is concentrated on a narrow set of platforms rather than distributed across the AI surface universe.

The brand's average recommended rank of 3.12 places it behind NordicTrack at 1.37 and Sole Fitness at 2.66. While Horizon Fitness appears in recommendation contexts, it typically appears in the third position rather than the first or second, limiting its visibility at the moment when buyers are forming their shortlist.

Competitive displacement is most visible in the gap between Horizon Fitness and NordicTrack. NordicTrack holds a 60.37% top-three rate and a 51.98% rank-one rate, meaning it dominates first-position recommendations across the category. Horizon Fitness, despite similar raw mention presence at 69.23% compared to NordicTrack's 96.74%, converts that presence into top-three placement at a much lower rate.

Biggest Opportunity

Questions This Section Answers

  • What is the clearest opportunity for Horizon Fitness in AI treadmill recommendations?
  • Which platforms offer the most immediate path to improving Horizon Fitness's rank-one placement?
  • What evidence layer changes would help Horizon Fitness convert top-three placements into first-position recommendations?

The clearest opportunity for Horizon Fitness is converting its broad recommendation coverage into rank-one placement. The brand already appears in more than half of qualified recommendation shortlists, which means AI systems have access to information about Horizon Fitness and consider it a valid option. The gap is in positioning the brand as the primary answer rather than an alternative.

This opportunity is concentrated in the Brand Recommendation cluster, which represents 100% of qualified observations in the current benchmark. When users ask AI systems for treadmill recommendations, Horizon Fitness appears in the response but rarely as the first name mentioned. Closing this gap requires strengthening the evidence layer that AI systems use to determine which brand deserves first-position placement.

The platform-level data suggests Google AI Mode and Gemini offer the most immediate opportunity for rank-one improvement. Horizon Fitness already achieves its highest top-three rates on these platforms, and both show some rank-one activity. Focused optimization of the citation and evidence sources that feed these platforms could help convert existing top-three placements into first-position recommendations.

Competitive Landscape

Questions This Section Answers

  • How does Horizon Fitness's recommendation profile compare with NordicTrack and Sole Fitness?
  • Where does Horizon Fitness rank in top-three and rank-one placement across the ten tracked treadmill brands?

NordicTrack holds dominant recommendation power in the treadmill category, with Sole Fitness and Horizon Fitness forming a second tier of strong but less dominant brands. Horizon Fitness sits third in recommendation coverage but converts that coverage into top-three and rank-one placements at lower rates than the brands immediately ahead of it.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

NordicTrack

60.37%

51.98%

1.37

0.8193

Sole Fitness

40.79%

4.66%

2.66

0.8730

Horizon Fitness

38.69%

1.86%

3.12

0.8822

Peloton

17.48%

1.40%

3.51

0.7880

Bowflex

10.02%

1.86%

3.78

0.6531

ProForm

7.93%

0.23%

4.13

0.7211

Life Fitness

6.99%

3.26%

3.93

0.7446

Echelon

5.59%

1.63%

4.33

0.9109

Precor

3.96%

0.70%

4.45

0.8083

Schwinn

3.26%

1.17%

3.16

0.6290

Average recommended rank covers rank-eligible recommendations only.

Horizon Fitness holds the third-highest top-three rate in the category at 38.69%, but its rank-one rate of 1.86% places it behind Life Fitness at 3.26% and roughly even with Bowflex at 1.86%. The brand's average recommended rank of 3.12 reflects its tendency to appear in the third position rather than at the top of recommendation lists.

Prompt Evidence

Google AI Mode / Brand Recommendation Prompt: "What is the most reliable treadmill?" Result: Horizon Fitness appeared in the recommendation shortlist with a top-three placement, contributing to its 28.83% top-three rate on this platform.

ChatGPT / Brand Recommendation Prompt: "What is the best treadmill for home use in 2024?" Result: Horizon Fitness received a valid recommendation with a 74.29% coverage rate on ChatGPT, but did not achieve rank-one placement.

Gemini / Brand Recommendation Prompt: "Which brand is best for a treadmill for home?" Result: Horizon Fitness achieved a top-three placement on Gemini, where it holds a 52.86% top-three rate, the highest among all platforms for the brand.

Perplexity / Brand Recommendation Prompt: "What is the most reliable treadmill?" Result: Horizon Fitness appeared in the recommendation context with a 40.68% coverage rate on Perplexity, but recorded zero rank-one placements on this platform.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompts and platforms where Horizon Fitness appears in recommendation shortlists but fails to achieve rank-one placement, identifying the evidence gaps that prevent first-position conversion.

Phase 2: Recommendation Readiness Plan Develop a prioritized plan for strengthening the brand's position in the Brand Recommendation cluster, focusing on the platforms where top-three placement is already strong but rank-one conversion remains low.

Phase 3: Owned Answer Layer Buildout Create and optimize owned content that directly addresses the high-intent prompts where Horizon Fitness appears in AI responses, ensuring the brand's positioning is clear and retrievable.

Phase 4: Citation / Authority Layer Development Strengthen the external evidence sources that AI systems use to form treadmill recommendations, including review sites, comparison pages, and authoritative sources that influence first-position placement.

Phase 5: Monthly AI Visibility and Recommendation Tracking Monitor Horizon Fitness's recommendation coverage, top-three rate, and rank-one rate across all six platforms to measure progress and identify emerging opportunities.

Why This Matters

AI presence alone is not enough. Horizon Fitness appears in nearly seven of every ten qualified AI responses about treadmill recommendations, yet it achieves first-position placement in fewer than two percent of observations. This gap means the brand is visible at the recommendation stage but rarely emerges as the answer that shapes the buyer's initial shortlist.

The difference between appearing in a recommendation list and being the first recommendation is commercially significant. When AI systems name a single best treadmill, that brand captures the buyer's attention at the moment of decision. Horizon Fitness has established the visibility foundation but needs targeted correction of its prompt, page, and citation layers to convert that visibility into first-position recommendations.

Core Metrics

Metric

Value

Mentions

297

Valid recommendations

248

Top 3 recommendation count

166

Rank #1 recommendation count

8

Average recommended rank

3.12

Positive mentions

262

Neutral mentions

35

Negative mentions

0

Raw mention presence rate

69.23%

Valid recommendation coverage

57.81%

Top 3 recommendation rate

38.69%

Rank #1 recommendation rate

1.86%

Net sentiment score

0.8822

Strongest cluster by recommendation behavior

Brand Recommendation (C01)

Strongest platform by recommendation behavior

Google AI Mode

Sentiment Score

Questions This Section Answers

  • Why does classified sentiment matter more than raw mention counts for Horizon Fitness's AI visibility?
  • How many of Horizon Fitness's September 2026 mentions were valid recommendations rather than neutral references?

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

For Horizon Fitness in September 2026: (262 × 1 + 35 × 0 + 0 × -1) / 297 = 0.8822

This score matters because unclassified mention counts are misleading. A brand that appears frequently in AI responses but receives cautionary or negative framing is not in the same position as a brand that receives consistently positive recommendations. 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 in commercial value.

Counting all mentions as wins is bad measurement. Horizon Fitness recorded 297 total mentions in September 2026, but only 248 of those were valid recommendations. The remaining mentions included neutral references where the brand was discussed but not recommended. Classified sentiment is required before interpreting AI visibility because it distinguishes between brands that are recommended and brands that are merely mentioned.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Google AI Mode

76

53

23

0

0.6974

Strongest platform by recommendation behavior

Google AI Overviews

78

73

5

0

0.9359

Strongest public recommendation signal

ChatGPT

28

26

2

0

0.9286

Present, but not recommendation-led

Gemini

52

50

2

0

0.9615

Positive, but rank-one rate remains low

Perplexity

34

33

1

0

0.9706

Present as context, not recommendation

Copilot

29

27

2

0

0.9310

Present, but not recommendation-led

Methodology

  1. This report is a benchmark-based analysis of Horizon Fitness's AI recommendation visibility in the treadmill category, using data from the LLM Authority Index AI Market Discovery Index for September 2026.
  2. The reporting window covers September 2026, with comparison data from July 2026 and August 2026 where available.
  3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
  4. The September 2026 benchmark comprised 429 qualified observations, compared with 464 in July 2026 and 417 in August 2026.
  5. The competitor universe included ten tracked brands: NordicTrack, Sole Fitness, Horizon Fitness, Peloton, ProForm, Bowflex, Life Fitness, Echelon, Precor, and Schwinn.
  6. All qualified observations in September 2026 fell into the Brand Recommendation cluster. The Pricing & Value and Multi-Brand Comparison clusters registered zero observations in the current benchmark.
  7. Stage 0 extraction retained the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed.
  8. A mention is defined as any appearance of Horizon Fitness in a qualified AI response, regardless of recommendation status.
  9. A valid recommendation is defined as an observation where Horizon Fitness appears in a valid recommendation shortlist, as marked by the dataset.
  10. The August 2026 measurement recorded Horizon Fitness at 0.00% coverage, which the benchmark flagged as a measurement-side interruption. September 2026 readings are interpreted against the July 2026 baseline for continuity.
  11. Percentages are calculated on the qualified observation set (429 observations in September 2026), not the raw collection universe of 800 prompts.
  12. The significant decline for ProForm and the recovery for Horizon Fitness are directional flags, not causal conclusions. They identify movements worth investigating, not the reasons for those movements.

See Where AI Is Recommending Your Brand

The public benchmark shows where Horizon Fitness stands in AI-generated treadmill recommendations. A company-level AI visibility audit maps the specific prompts, platforms, and evidence sources that shape those recommendations, revealing where the brand is winning, where competitors are being recommended instead, and what it would take to close the gap between recommendation coverage and first-position placement.

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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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