How AI Search Is Recommending Online Personal Training Programs: Monthly Trends

Executive Summary

Caliber has held the top position for two consecutive months; the current gap breaks a tie recorded in July 2026, when Caliber and Future both stood at 70.5% coverage. That movement falls within the range of normal month-to-month variation for the category leader.

The strongest upward mover this month was iFit, rising from 5.2% coverage in August 2026 to 10.1% in September 2026, an increase of 4.9 points that exceeded normal month-to-month variation. The sharpest decliner was Ladder, which fell by 8.8 points, a drop that also exceeded normal month-to-month variation. This is the second consecutive month of decline for Ladder.

Against the prior month, the category shows real movement. Alongside iFit's rise and Ladder's fall, BODi (Beachbody) dropped from 3.7% coverage in August 2026 to 0.4% in September 2026, and Centr declined from 30.9% to 22.7%, both exceeding normal variation. Three brands were classified as significant decliners across the baseline-to-current series: BODi (Beachbody), Ladder, and Tonal.

Each monthly run begins with 800 prompt-surface observations (698 unique questions in September 2026, versus 709 in August 2026 and 692 in July 2026) across the benchmark's defined AI/search surface universe. Of those, 800 mentioned a tracked brand or competitor in all three months; 357 were relevant and 443 were irrelevant in September 2026, versus 337 relevant and 463 irrelevant in August 2026. The public metrics use the 277 observations that survive both qualification stages in September 2026, 269 in August 2026, and 295 in July 2026. The benchmark tracks six AI/search surface families per month.

Key Findings

Benchmark Context

The report separates the raw collection universe from the qualified analysis set. Brand-level recommendation percentages are calculated within the qualified benchmark set.

Benchmark-Level Metrics

The benchmark-level figures below describe how the overall qualified set behaved between the baseline and current months, independent of any single brand's performance. August 2026 sat between these two months with 269 qualified observations; the series has fluctuated moderately across all three periods.

With the benchmark-level shifts established, the brand-level detail below shows where the movement concentrated across the ten tracked programs and how each brand's standing shifted between the July 2026 baseline and the September 2026 current month.

AI Recommendation Trend

Coverage by Brand: July 2026 to September 2026

Three brands moved beyond normal month-to-month variation across the baseline-to-current series: BODi (Beachbody), Ladder, and Tonal all declined beyond that range. The remaining movements, including Caliber's category-leading gain, came from the combination of several smaller shifts rather than any single brand breaking outside the expected range.

What Changed This Month

Caliber: Leading for a Second Consecutive Month

Caliber's valid recommendation coverage rose from 70.5% in July 2026 to 76.5% in September 2026, an increase of 6.0 points across the baseline-to-current series. The sharper movement came in the most recent month: up 3.6 points from 72.9% in August 2026 to 76.5% in September 2026.

Caliber's presence also increased. Raw mention presence rose from 72.5% in July 2026 to 80.9% in September 2026, and the brand's top-three recommendation rate improved from 49.8% to 56.3%. Its rank-one rate held essentially flat, from 12.2% to 12.3%.

The distinction to notice: Caliber's lead is built on breadth of recommendation appearances, but Future remains the stronger first-place finisher with a 34.3% rank-one rate in September 2026 versus Caliber's 12.3%. The category leader is winning more recommendation slots overall, not necessarily the top pick.

Highest-priority diagnostic: Which prompt patterns are driving Caliber's coverage gains, and where does Future continue to win the outright top recommendation?

iFit: The Month's Strongest Upward Move

iFit's valid recommendation coverage rose from 5.2% in August 2026 to 10.1% in September 2026, an increase of 4.9 points that exceeded normal month-to-month variation. iFit held 22 valid recommendations in July 2026 and 28 in September 2026.

iFit's presence held broadly steady across the quarter. Raw mention presence stood at 11.2% in July 2026 and 11.6% in September 2026, with the brand appearing in 33 observations in July 2026 versus 32 in September 2026. The brand's net sentiment score improved from 0.7 to 0.9.

The distinction to notice: iFit's baseline-to-current gain of 2.6 points was not itself beyond normal variation, because the brand had dipped to 5.2% in August 2026 before recovering. The single-month jump is the notable signal here, reversing the prior month's dip.

Highest-priority diagnostic: Which prompts and surfaces drove the August-to-September recovery, and whether the gain represents genuine traction or a reversion to earlier levels.

Ladder: A Second Consecutive Significant Decline

Ladder's valid recommendation coverage fell from 21.4% in July 2026 to 9.4% in September 2026, a drop of 12.0 points across the baseline-to-current series. The movement accelerated recently: down 8.8 points from 18.2% in August 2026 to 9.4% in September 2026, beyond normal month-to-month variation. Ladder held 63 valid recommendations in July 2026 and 26 in September 2026.

Ladder's presence weakened sharply alongside coverage. Raw mention presence fell from 23.1% in July 2026 to 11.2% in September 2026, with the brand appearing in 68 observations in July 2026 versus 31 in September 2026. Its top-three rate declined from 8.1% to 4.3%.

The distinction to notice: Ladder is losing both visibility and recommendations together, which distinguishes it from brands like Fitbod that remain visible but are recommended less often. The gap between Caliber and Ladder widened every month across the series, from 49.1 points in July 2026 to 67.1 points in September 2026.

Highest-priority diagnostic: Which surfaces and prompt types stopped surfacing Ladder, and which brands are now taking the recommendations Ladder previously held.

Centr and BODi (Beachbody): Additional Downside Movements

Centr's coverage fell from 29.5% in July 2026 to 22.7% in September 2026, down 6.8 points across the series. The sharper movement came in the most recent month: down 8.2 points from 30.9% in August 2026, beyond normal month-to-month variation. Centr held 87 valid recommendations in July 2026 and 63 in September 2026.

BODi (Beachbody) declined from 3.0% coverage in July 2026 to 0.4% in September 2026, down 2.6 points across the series and beyond normal month-to-month variation. The brand held 9 valid recommendations in July 2026 and just 1 in September 2026. This is a small-count brand, and the absolute numbers warrant caution.

The distinction to notice: Centr's decline came after a modest August increase and reverses its earlier positioning as a solid mid-tier brand, while BODi (Beachbody) has faded to near-zero recommendation presence. Both movements are worth direct investigation at the brand level.

Highest-priority diagnostic: Which prompts drove Centr's August-to-September drop, and whether BODi (Beachbody)'s near-total loss of recommendation presence is concentrated in specific query types.

Buyer-Intent Interpretation

In September 2026, all 277 qualified observations fell into the Brand Recommendation cluster. None of the qualified observations landed in the Pricing & Value or Multi-Brand Comparison clusters. The public benchmark therefore reflects which program AI systems recommend when a buyer asks for a direct answer, but it cannot yet speak to how AI systems treat pricing, value, or head-to-head comparison in this vertical. Those commercial questions remain open for company-level analysis.

Brand Opportunity Summary

The benchmark identifies where attention is warranted; a company-level analysis is needed to explain why.

Evidence Behind the Benchmark

The aggregate metrics are built from prompt-level observations that capture the query, the AI/search surface, the recommendation outcome, the rank, sentiment, and citations where exposed. Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns to understand the drivers behind the movements described in this report. Source presence in an AI answer is not automatically treated as proof of causation.

About This Benchmark

This report is part of CiteWorks Studio's AI Industry Market Discovery research program.

• AI Industry Market Discovery Methodology
• AI Industry Market Discovery Metrics
• AI Industry Market Discovery Standards

Report-Specific Interpretation Notes

• Small-count movement: BODi (Beachbody) held 1 valid recommendation in September 2026, down from 9 in July 2026, and Tonal held 3 valid recommendations in September 2026, down from 11 in July 2026. Single-digit changes carry outsized weight and should be interpreted with caution.
• Qualified denominator: All brand-level coverage percentages in this report are calculated against the qualified benchmark set of 277 observations for September 2026, 269 for August 2026, and 295 for July 2026, not the 800 raw prompt-surface observations collected.
• Directional analysis: Month-over-month movement identifies changes worth investigating. It does not by itself establish the cause of those changes.

Next Step

The Public Benchmark Shows Where a Brand Is Winning or Losing. A Company-Level Audit Shows Why.

The aggregate percentages in this report raise questions that the public benchmark is not designed to answer. Which high-intent prompts is a brand winning, and which competitor takes the recommendation when a brand loses? What attributes does an AI system associate with each option, and which external sources shape those answers? For Ladder, which prompts and surfaces stopped surfacing the brand across two consecutive months? For iFit, what drove the recovery, and for Centr, what caused the sudden drop?

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. That analysis converts the benchmark's directional signals into a clear picture of where a brand stands and what to do next.

Request an AI visibility audit