Original research · 2026-07 edition

AI SEO Statistics: Yoga 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 yoga studio.

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

I have chronic lower back pain from sitting at a desk all day, would starting at a yoga studio help more than just doing stretches at home?
What are the warning signs of a bad yoga studio that I should look for during a trial class?
Is it worth paying $200 a month for a premium yoga membership or should I just stick to the community center classes?
I'm really inflexible and a bit intimidated, are there specific types of yoga classes I should look for as a complete beginner?
How do I know if a yoga instructor is actually qualified or if they just did a quick weekend certification?
What's the actual difference between a hot yoga studio and a regular one besides the temperature?
I need a yoga studio that offers childcare while I'm in class, is that a common thing or hard to find?
Can I use yoga as my primary workout for weight loss or do I need to supplement it with a gym membership?
Show all 15 questions
What should I expect to pay for a drop-in yoga class in a major city vs a monthly unlimited pass?
I'm looking for a studio that focuses more on the meditative/spiritual side rather than just a power yoga workout, how can I tell the difference from their website?
Are there any yoga studios that offer beginner intensives or 4-week workshops instead of just random drop-in classes?
What equipment do I actually need to buy before joining a studio, and what do they usually provide for free?
I'm recovering from a knee injury and want to start yoga, should I look for a specific certification in the instructors?
Is it better to join a dedicated yoga-only studio or a big box gym that has yoga classes included?
How many times a week do I need to go to a yoga studio to actually see improvements in my flexibility?

Model by model

17-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 yoga studio buyers.

Behavior rates across 15 yoga studio buyer questions, 2026-07 edition. Last column: average across models.
ChatGPTClaudeGeminiConsensus
Recommends hiring a professional47%27%27%73%
Suggests DIY first13%13%0%80%
Names specific providers13%20%20%73%
Gives price or cost info7%13%20%87%
Tells to check reviews7%7%0%87%
Tells to verify credentials47%20%13%67%
Mentions case studies / portfolio0%0%0%100%
Mentions local proximity40%33%13%60%
Gives selection criteria73%60%53%73%
Warns about red flags33%13%13%80%
Asks a clarifying question87%60%0%13%
Recommends multiple quotes0%0%0%100%

By model

How each assistant handled Yoga Studio questions.

Reading the 45 answers model by model shows how differently the three assistants treat the same yoga studio questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 46.7% (ChatGPT) down to 26.7% (Claude), a 20-point gap on an identical question set.

Across the 15 yoga studio answers it produced, ChatGPT recommended hiring a professional in 46.7% of them and suggested a DIY approach first 13.3% of the time. It named a specific provider in 13.3% of answers (about 0.3 distinct providers per answer) and included price or cost information 6.7% of the time. ChatGPT asked a clarifying question before answering in 86.7% of cases, warned about red flags or scams in 33.3%, and told the buyer to verify credentials in 46.7%, averaging 475 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 40%; a selection-criteria checklist appeared in 73.3% of its answers and a recommendation to gather multiple quotes in 0%.

Across the 15 yoga studio answers it produced, Claude recommended hiring a professional in 26.7% of them and suggested a DIY approach first 13.3% of the time. It named a specific provider in 20% of answers (about 0.5 distinct providers per answer) and included price or cost information 13.3% of the time. Claude asked a clarifying question before answering in 60% of cases, warned about red flags or scams in 13.3%, and told the buyer to verify credentials in 20%, averaging 272 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 33.3%; a selection-criteria checklist appeared in 60% of its answers and a recommendation to gather multiple quotes in 0%.

Across the 15 yoga studio answers it produced, Gemini recommended hiring a professional in 26.7% of them and suggested a DIY approach first 0% of the time. It named a specific provider in 20% of answers (about 0.6 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 13.3%, and told the buyer to verify credentials in 13.3%, averaging 256 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 53.3% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, ChatGPT is the assistant most likely to route a yoga studio buyer to a professional (46.7%) and Claude the least (26.7%). ChatGPT produced the longest answers, at 475 words on average. Specific providers were named most often by Claude (20%) — even there, roughly one answer in 5 carried a name.

Where they disagree

The behaviors where the choice of model changes the answer.

The divergence index for this study is 17 points — the average distance between the most and least likely model across the coded behaviors. The gaps below are where which assistant a yoga studio buyer happens to ask matters most:

  • Asks a clarifying question: from 0% (Gemini) to 86.7% (ChatGPT) — a 87-point spread.
  • Tells the buyer to verify credentials: from 13.3% (Gemini) to 46.7% (ChatGPT) — a 33-point spread.
  • Mentions local proximity: from 13.3% (Gemini) to 40% (ChatGPT) — a 27-point spread.
  • Recommends hiring a professional: from 26.7% (Claude) to 46.7% (ChatGPT) — a 20-point spread.
  • Gives selection criteria: from 53.3% (Gemini) to 73.3% (ChatGPT) — a 20-point spread.

The widest single gap — asks a clarifying question, 87 points — means a yoga 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 yoga studio market.

Where they agree

The points of near-consensus in Yoga Studio.

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

  • Mentions case studies or portfolio: 0% across all three models.
  • Recommends multiple quotes: 0% across all three models.
  • Names a specific provider: 13.3%–20% across all three (a 7-point spread).
  • Tells the buyer to check reviews: 0%–6.7% across all three (a 7-point spread).

Measured question by question, the three assistants coded a response the same way most consistently on "mentions case studies or portfolio" (identical coding in 100% of questions) and least consistently on "asks a clarifying question" (13.3%).

Every behavior, measured

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

The behaviors AI models reproduce most often for yoga studio are gives selection criteria (62.2% on average), asks a clarifying question (48.9%) and recommends hiring a professional (33.4%); the rarest are recommends multiple quotes (0%), mentions case studies or portfolio (0%) and tells the buyer to check reviews (4.5%). 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:

  • Gives selection criteria: 62.2% on average (ChatGPT 73.3%, Claude 60%, Gemini 53.3%) — a 20-point spread.
  • Asks a clarifying question: 48.9% on average (ChatGPT 86.7%, Claude 60%, Gemini 0%) — a 87-point spread.
  • Recommends hiring a professional: 33.4% on average (ChatGPT 46.7%, Claude 26.7%, Gemini 26.7%) — a 20-point spread.
  • Mentions local proximity: 28.9% on average (ChatGPT 40%, Claude 33.3%, Gemini 13.3%) — a 27-point spread.
  • Tells the buyer to verify credentials: 26.7% on average (ChatGPT 46.7%, Claude 20%, Gemini 13.3%) — a 33-point spread.
  • Warns about red flags or scams: 20% on average (ChatGPT 33.3%, Claude 13.3%, Gemini 13.3%) — a 20-point spread.
  • Names a specific provider: 17.8% on average (ChatGPT 13.3%, Claude 20%, Gemini 20%) — a 7-point spread.
  • Gives price or cost information: 13.3% on average (ChatGPT 6.7%, Claude 13.3%, Gemini 20%) — a 13-point spread.
  • Suggests a DIY approach first: 8.9% on average (ChatGPT 13.3%, Claude 13.3%, Gemini 0%) — a 13-point spread.
  • Tells the buyer to check reviews: 4.5% on average (ChatGPT 6.7%, Claude 6.7%, Gemini 0%) — a 7-point spread.
  • Mentions case studies or portfolio: 0% on average (ChatGPT 0%, Claude 0%, Gemini 0%).
  • Recommends multiple quotes: 0% on average (ChatGPT 0%, Claude 0%, Gemini 0%).

Trust signals

How well the models protect the yoga studio buyer.

Beyond whether to hire, the rubric codes how carefully each assistant protects the yoga studio buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 4.5% of answers on average. Verifying credentials or certifications appeared in 26.7%. Warning about red flags or scams appeared in 20%.

On structuring the decision, a selection-criteria checklist showed up in 62.2% of answers on average and a recommendation to gather multiple quotes in 0%. The single least-reproduced protective signal for yoga studio is "recommends multiple quotes" at 0% 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 Yoga Studio providers?

For service providers the decisive question is whether these systems name anyone at all. Across 45 yoga studio answers, a specific provider was named in 17.8% of responses on average — roughly 0.5 distinct providers per answer. In practice the assistants behave far more as an explanatory layer than as a referral engine for yoga studio: visibility comes from being the reasoning a model reproduces, not from being the named recommendation.

The question set

What these 15 Yoga Studio questions cover.

The 15 questions behind every percentage on this page were drawn from real yoga 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 yoga 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 yoga 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 →