Original research · 2026-07 edition

AI SEO Statistics: Pilates Studio (2026-07 edition)

15 questions · 45 AI responses · 3 models · measured 2026-07-04

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The question bank

The questions we tested — sampled from real buyer journeys in pilates studio.

Each model answered every question once, same wording, same day. These are the prompts behind every percentage on this page.

Is Pilates actually better than yoga for chronic lower back pain and posture issues?
Can I get the same results doing Pilates at home with a mat versus going to a studio with reformers?
What specific certifications should I look for when choosing a Pilates instructor to ensure they are actually qualified?
I'm totally out of shape; will I feel out of place or be able to keep up in a beginner reformer class?
What is the average cost for a private Pilates session compared to a small group class in a major city?
How do I tell the difference between a 'classical' Pilates studio and a 'contemporary' one, and which is better for a beginner?
Are there any red flags I should look for when touring a new Pilates studio for the first time?
I have a wedding in two months; how many times a week do I realistically need to attend Pilates to see a physical difference?
Show all 15 questions
Is a boutique Pilates studio worth the extra money compared to a big-box gym that has a few reformer machines?
What should I wear to my first Pilates class to make sure I don't have a wardrobe malfunction on the equipment?
I'm over 60 with some joint stiffness; is Pilates safe for me or is it too intense?
Do most studios offer a discounted intro package or a free trial class for new members?
What is the cancellation policy typically like at high-end Pilates studios if I have a busy work schedule?
Is it better to do a 1-on-1 session first before joining a group reformer class if I've never used the equipment?
How do I find a studio that specializes in prenatal Pilates and knows how to modify exercises for pregnancy?

Model by model

14-point average divergence: which AI you ask changes the answer.

The divergence index is the average gap between the most and least likely model per behavior. Higher = the models disagree more about pilates studio buyers.

Behavior rates across 15 pilates studio buyer questions, 2026-07 edition. Last column: average across models.
ChatGPTClaudeGeminiConsensus
Recommends hiring a professional73%53%40%53%
Suggests DIY first0%0%0%100%
Names specific providers0%0%0%100%
Gives price or cost info13%20%20%93%
Tells to check reviews7%0%0%93%
Tells to verify credentials47%13%27%60%
Mentions case studies / portfolio0%0%0%100%
Mentions local proximity13%13%13%100%
Gives selection criteria67%40%33%47%
Warns about red flags20%20%20%80%
Asks a clarifying question47%53%0%27%
Recommends multiple quotes7%0%0%93%

By model

How each assistant handled Pilates Studio questions.

Reading the 45 answers model by model shows how differently the three assistants treat the same pilates studio questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 73.3% (ChatGPT) down to 40% (Gemini), a 33-point gap on an identical question set.

Across the 15 pilates studio answers it produced, ChatGPT recommended hiring a professional in 73.3% of them and suggested a DIY approach first 0% of the time. It named a specific provider in 0% of answers (about 0 distinct providers per answer) and included price or cost information 13.3% of the time. ChatGPT asked a clarifying question before answering in 46.7% of cases, warned about red flags or scams in 20%, and told the buyer to verify credentials in 46.7%, averaging 434 words per answer. On the remaining cues it told the buyer to check reviews in 6.7%, pointed to case studies or a portfolio in 0%, and framed the choice around local proximity in 13.3%; a selection-criteria checklist appeared in 66.7% of its answers and a recommendation to gather multiple quotes in 6.7%.

Across the 15 pilates studio answers it produced, Claude recommended hiring a professional in 53.3% of them and suggested a DIY approach first 0% of the time. It named a specific provider in 0% of answers (about 0 distinct providers per answer) and included price or cost information 20% of the time. Claude asked a clarifying question before answering in 53.3% of cases, warned about red flags or scams in 20%, and told the buyer to verify credentials in 13.3%, averaging 275 words per answer. On the remaining cues it told the buyer to check reviews in 0%, pointed to case studies or a portfolio in 0%, and framed the choice around local proximity in 13.3%; a selection-criteria checklist appeared in 40% of its answers and a recommendation to gather multiple quotes in 0%.

Across the 15 pilates studio answers it produced, Gemini recommended hiring a professional in 40% of them and suggested a DIY approach first 0% of the time. It named a specific provider in 0% of answers (about 0 distinct providers per answer) and included price or cost information 20% of the time. Gemini asked a clarifying question before answering in 0% of cases, warned about red flags or scams in 20%, and told the buyer to verify credentials in 26.7%, averaging 257 words per answer. On the remaining cues it told the buyer to check reviews in 0%, pointed to case studies or a portfolio in 0%, and framed the choice around local proximity in 13.3%; a selection-criteria checklist appeared in 33.3% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, ChatGPT is the assistant most likely to route a pilates studio buyer to a professional (73.3%) and Gemini the least (40%). ChatGPT produced the longest answers, at 434 words on average. No model named a specific provider in more than 0% of answers.

Where they disagree

The behaviors where the choice of model changes the answer.

The divergence index for this study is 14.1 points — the average distance between the most and least likely model across the coded behaviors. The gaps below are where which assistant a pilates studio buyer happens to ask matters most:

  • Asks a clarifying question: from 0% (Gemini) to 53.3% (Claude) — a 53-point spread.
  • Tells the buyer to verify credentials: from 13.3% (Claude) to 46.7% (ChatGPT) — a 33-point spread.
  • Gives selection criteria: from 33.3% (Gemini) to 66.7% (ChatGPT) — a 33-point spread.
  • Recommends hiring a professional: from 40% (Gemini) to 73.3% (ChatGPT) — a 33-point spread.
  • Gives price or cost information: from 13.3% (ChatGPT) to 20% (Claude) — a 7-point spread.

The widest single gap — asks a clarifying question, 53 points — means a pilates studio buyer can receive materially different guidance on the same question depending only on which assistant they happen to open, so any visibility strategy built on a single model's behavior describes only part of the pilates studio market.

Where they agree

The points of near-consensus in Pilates Studio.

On other behaviors the three models move almost in lockstep — the points of near-consensus for pilates studio, where all three landed within a few points of each other:

  • Suggests a DIY approach first: 0% across all three models.
  • Names a specific provider: 0% across all three models.
  • Mentions case studies or portfolio: 0% across all three models.
  • Mentions local proximity: 13.3% across all three models.

Measured question by question, the three assistants coded a response the same way most consistently on "suggests a DIY approach first" (identical coding in 100% of questions) and least consistently on "asks a clarifying question" (26.7%).

Every behavior, measured

All twelve coded behaviors for Pilates Studio, averaged across the three models.

The behaviors AI models reproduce most often for pilates studio are recommends hiring a professional (55.5% on average), gives selection criteria (46.7%) and asks a clarifying question (33.3%); the rarest are mentions case studies or portfolio (0%), names a specific provider (0%) and suggests a DIY approach first (0%). Each figure below is the share of a model's 15 answers in which the behavior appeared at least once, averaged across the 3 models with the full per-model range in parentheses:

  • Recommends hiring a professional: 55.5% on average (ChatGPT 73.3%, Claude 53.3%, Gemini 40%) — a 33-point spread.
  • Gives selection criteria: 46.7% on average (ChatGPT 66.7%, Claude 40%, Gemini 33.3%) — a 33-point spread.
  • Asks a clarifying question: 33.3% on average (ChatGPT 46.7%, Claude 53.3%, Gemini 0%) — a 53-point spread.
  • Tells the buyer to verify credentials: 28.9% on average (ChatGPT 46.7%, Claude 13.3%, Gemini 26.7%) — a 33-point spread.
  • Warns about red flags or scams: 20% on average (ChatGPT 20%, Claude 20%, Gemini 20%).
  • Gives price or cost information: 17.8% on average (ChatGPT 13.3%, Claude 20%, Gemini 20%) — a 7-point spread.
  • Mentions local proximity: 13.3% on average (ChatGPT 13.3%, Claude 13.3%, Gemini 13.3%).
  • Tells the buyer to check reviews: 2.2% on average (ChatGPT 6.7%, Claude 0%, Gemini 0%) — a 7-point spread.
  • Recommends multiple quotes: 2.2% on average (ChatGPT 6.7%, Claude 0%, Gemini 0%) — a 7-point spread.
  • Suggests a DIY approach first: 0% on average (ChatGPT 0%, Claude 0%, Gemini 0%).
  • Names a specific provider: 0% on average (ChatGPT 0%, Claude 0%, Gemini 0%).
  • Mentions case studies or portfolio: 0% on average (ChatGPT 0%, Claude 0%, Gemini 0%).

Trust signals

How well the models protect the pilates studio buyer.

Beyond whether to hire, the rubric codes how carefully each assistant protects the pilates studio buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 2.2% of answers on average. Verifying credentials or certifications appeared in 28.9%. Warning about red flags or scams appeared in 20%.

On structuring the decision, a selection-criteria checklist showed up in 46.7% of answers on average and a recommendation to gather multiple quotes in 2.2%. The single least-reproduced protective signal for pilates studio is "tells the buyer to check reviews" at 2.2% on average — the clearest opening for content that supplies it, since the models are not yet reliably surfacing that guidance on their own.

Referral behavior

Do AI models name Pilates Studio providers?

For service providers the decisive question is whether these systems name anyone at all. Across 45 pilates studio answers, a specific provider was named in 0% of responses on average — roughly 0 distinct providers per answer. In practice the assistants behave far more as an explanatory layer than as a referral engine for pilates studio: visibility comes from being the reasoning a model reproduces, not from being the named recommendation.

The question set

What these 15 Pilates Studio questions cover.

The 15 questions behind every percentage on this page were drawn from real pilates studio (fitness services; buyer hiring decisions for this specific service) buyer journeys. Each was put to all 3 models once, with identical wording, so the rates above describe how the assistants handled this exact pilates studio question set — not a general prior or a hand-picked subset. The full list is shown earlier on this page; the coded percentages are what those specific questions produced.

How to read this

A note on the numbers.

A percentage here is the share of a model's 15 answers in which the behavior appeared at least once — not a confidence score. Because each model answered every question exactly once on 2026-07-04, the figures describe this specific pilates studio question set and snapshot rather than a general prior. The full protocol and coding rubric are documented in the study methodology.

Methodology

A controlled snapshot, documented end to end.

15 standardized buyer questions per industry, one response per model per question (ChatGPT (gpt-5-mini), Claude (claude-sonnet-5), Gemini (gemini-3-flash-preview)), collected 2026-07-04, coded against a fixed 12-behavior rubric with human QA. AI outputs vary with model version, location and time — figures describe this sample and window, and are refreshed each edition. Read the full methodology →