Online Personal Training Programs: AI Market Discovery Index

Benchmark Summary

Caliber led the Online Personal Training Programs benchmark in September 2026 with a valid recommendation coverage of 76.5%, ahead of Future at 72.2%, a gap of 4.3 points. Caliber also recorded the largest gain of any tracked brand since the July 2026 baseline, up 6.0 points from 70.5%, though the move stayed within normal month-to-month variation. Among the remaining brands, iFit posted the next-largest increase, up 2.6 points to 10.1%, also within normal variation. The most significant movement in the category was a decline: Ladder fell from 21.4% in July 2026 to 9.4% in September 2026, a drop that exceeded normal month-to-month variation.

The benchmark began with 800 prompt-surface observations in each month and produced 277 qualified observations in September 2026.

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 appeared in each month of the series. The intermediate month, August 2026, saw coverage leaders at 72.9% (Caliber) and 71.4% (Future), with 269 qualified observations.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Online Personal Training Programs

Research Scope and Qualification

The public benchmark is narrower than the raw collection universe by design.

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

Current Brand Standings

How to Read the Standings

• Presence rate is the share of qualified observations where the brand is mentioned in any context.
• Valid recommendation coverage is the share of qualified observations where the brand appears in a genuine, attributable recommendation.
• Top-three rate is the share of qualified observations where the brand appears in the first three recommendation positions.
• Rank-one rate is the share of qualified observations where the brand is the first recommendation.
• Net sentiment is the balance of positive and negative mention sentiment, from minus 1.0 to plus 1.0.

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

Recommendation Coverage Movement

Largest Decline: Ladder

Ladder's valid recommendation coverage declined from 21.4% in July 2026 to 9.4% in September 2026, a drop of 12.0 percentage points beyond normal month-to-month variation. The brand declined in each of the two months since July 2026, and its presence rate fell from 23.1% to 11.2% over the same period. In the most recent month alone, coverage moved from 18.2% in August 2026 to 9.4% in September 2026, a decline of 8.8 points.

Largest Increase Among Challengers: iFit

iFit's valid recommendation coverage rose from 7.5% in July 2026 to 10.1% in September 2026, an increase of 2.6 points within normal month-to-month variation — the largest gain among brands other than category leader Caliber. The move came entirely in the most recent month, with coverage up from 5.2% in August 2026, a change of 4.9 points. iFit still sits below the broader mid-tier of the benchmark.

Category Leader: Caliber

Caliber led the benchmark in September 2026 at 76.5% valid recommendation coverage, up from 70.5% in July 2026 and from 72.9% in August 2026, a gain of 6.0 points since the baseline month and the largest increase of any tracked brand, though the move remained within normal month-to-month variation. Its lead over second-place Future stood at 4.3 points in September 2026. Caliber's lead over Ladder widened from 49.1 points in July 2026 to 67.1 points in September 2026, widening in every month of the series. Future's lead over Ladder also widened from 49.1 points to 62.8 points over the same period.

Within normal variation, Centr declined from 29.5% in July 2026 to 22.7% in September 2026, with a single-month drop of 8.2 points from August 2026; Fitbod moved down from 51.9% to 48.0%; Sweat moved down from 12.5% to 7.9%; and Trainerize moved down from 21.0% to 18.4%. BODi (Beachbody) and Tonal each declined beyond normal variation, moving down 2.6 points apiece since July 2026.

Recommendation Placement Snapshot

Coverage alone does not show how prominently a brand is recommended. Future converts a 72.2% coverage rate into a 34.3% rank-one rate, while Caliber at 76.5% coverage earns a 12.3% rank-one rate.

Close coverage can still hide very different first-position rates.

Buyer-Intent Distribution

All qualified observations in each month of the series fell into the Brand Recommendation class of discovery.

The current public series measures brand recommendation discovery and does not yet contain qualified observations in the pricing and value or multi-brand comparison classes.

Historical Measurement Record

Evidence and Source Layer

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. It is not automatically proof that the source caused the recommendation.

Scope Boundaries

This public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, social mention volume, or private and sponsored channels. A movement in any single metric does not by itself establish causality.

About This Benchmark

The LLM Authority Index AI Market Discovery Index is a neutral, repeatable measurement of how AI-driven discovery surfaces recommend brands in response to real consumer questions. It tracks presence, recommendation coverage, placement, and sentiment across the major AI answer engines.

• AI Market Discovery Methodology
• AI Market Discovery Metric Definitions
• AI Market Discovery Research Standards
• Modeled AI Authority Value

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