Original research · 2026-07 edition

AI SEO Statistics: Martial Arts School (2026-07 edition)

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

See how AI talks about YOUR businessFull data table

The question bank

The questions we tested — sampled from real buyer journeys in martial arts school.

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

I'm bored with the treadmill and need a workout that keeps me engaged; is kickboxing or jiu-jitsu better for weight loss?
Can I realistically learn effective self-defense from home videos or is it a waste of time without a partner?
What are the typical red flags I should look for when visiting a local karate dojo for the first time?
How much should I expect to pay monthly for a martial arts membership that includes 3 classes a week?
I'm 45 and have never done sports; am I too old to start a beginner Brazilian Jiu-Jitsu class?
What's the difference between a school that focuses on 'traditional' forms versus one that focuses on 'practical' sparring?
How do I know if a kids' martial arts program is actually teaching discipline or just being a 'McDojo' that hands out belts for money?
Are there any martial arts styles that are safer for someone with a history of lower back pain?
Show all 15 questions
Should I look for a gym that offers a month-to-month contract or is a yearly commitment standard in this industry?
What kind of hidden costs like testing fees or mandatory gear sets should I ask about before signing a contract?
I'm a woman looking for a self-defense class; should I join a co-ed MMA gym or look for a specialized women-only program?
Is it better to find a school that specializes in one style like Muay Thai or one that offers a mix of different disciplines?
How many trial classes should a reputable school offer before asking me to commit to a full membership?
I want to get into competitive fighting eventually; what should I look for in a coach's background and professional record?
Do I need to buy my own equipment like gloves and a gi before my first trial lesson or do schools usually provide them?

Model by model

20-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 martial arts school buyers.

Behavior rates across 15 martial arts school buyer questions, 2026-07 edition. Last column: average across models.
ChatGPTClaudeGeminiConsensus
Recommends hiring a professional47%47%27%60%
Suggests DIY first20%7%0%80%
Names specific providers0%7%7%93%
Gives price or cost info13%7%33%73%
Tells to check reviews27%7%0%73%
Tells to verify credentials40%20%7%67%
Mentions case studies / portfolio7%7%7%100%
Mentions local proximity33%13%13%67%
Gives selection criteria67%73%53%40%
Warns about red flags33%33%27%80%
Asks a clarifying question53%47%0%33%
Recommends multiple quotes27%13%0%67%

By model

How each assistant handled Martial Arts School questions.

Reading the 45 answers model by model shows how differently the three assistants treat the same martial arts school 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% (Gemini), a 20-point gap on an identical question set.

Across the 15 martial arts school answers it produced, ChatGPT recommended hiring a professional in 46.7% of them and suggested a DIY approach first 20% 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 53.3% of cases, warned about red flags or scams in 33.3%, and told the buyer to verify credentials in 40%, averaging 512 words per answer. On the remaining cues it told the buyer to check reviews in 26.7%, pointed to case studies or a portfolio in 6.7%, and framed the choice around local proximity in 33.3%; a selection-criteria checklist appeared in 66.7% of its answers and a recommendation to gather multiple quotes in 26.7%.

Across the 15 martial arts school answers it produced, Claude recommended hiring a professional in 46.7% of them and suggested a DIY approach first 6.7% of the time. It named a specific provider in 6.7% of answers (about 0.1 distinct providers per answer) and included price or cost information 6.7% of the time. Claude asked a clarifying question before answering in 46.7% of cases, warned about red flags or scams in 33.3%, and told the buyer to verify credentials in 20%, averaging 279 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 6.7%, and framed the choice around local proximity in 13.3%; a selection-criteria checklist appeared in 73.3% of its answers and a recommendation to gather multiple quotes in 13.3%.

Across the 15 martial arts school 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 6.7% of answers (about 0.5 distinct providers per answer) and included price or cost information 33.3% of the time. Gemini asked a clarifying question before answering in 0% of cases, warned about red flags or scams in 26.7%, and told the buyer to verify credentials in 6.7%, averaging 249 words per answer. On the remaining cues it told the buyer to check reviews in 0%, pointed to case studies or a portfolio in 6.7%, 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 martial arts school buyer to a professional (46.7%) and Gemini the least (26.7%). ChatGPT produced the longest answers, at 512 words on average. Specific providers were named most often by Claude (6.7%) — even there, roughly one answer in 15 carried a name.

Where they disagree

The behaviors where the choice of model changes the answer.

The divergence index for this study is 20.4 points — the average distance between the most and least likely model across the coded behaviors. The gaps below are where which assistant a martial arts school buyer happens to ask matters most:

  • Asks a clarifying question: from 0% (Gemini) to 53.3% (ChatGPT) — a 53-point spread.
  • Tells the buyer to verify credentials: from 6.7% (Gemini) to 40% (ChatGPT) — a 33-point spread.
  • Tells the buyer to check reviews: from 0% (Gemini) to 26.7% (ChatGPT) — a 27-point spread.
  • Recommends multiple quotes: from 0% (Gemini) to 26.7% (ChatGPT) — a 27-point spread.
  • Gives price or cost information: from 6.7% (Claude) to 33.3% (Gemini) — a 27-point spread.

The widest single gap — asks a clarifying question, 53 points — means a martial arts school 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 martial arts school market.

Where they agree

The points of near-consensus in Martial Arts School.

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

  • Mentions case studies or portfolio: 6.7% across all three models.
  • Warns about red flags or scams: 26.7%–33.3% across all three (a 7-point spread).
  • Names a specific provider: 0%–6.7% across all three (a 7-point spread).
  • Recommends hiring a professional: 26.7%–46.7% across all three (a 20-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" (33.3%).

Every behavior, measured

All twelve coded behaviors for Martial Arts School, averaged across the three models.

The behaviors AI models reproduce most often for martial arts school are gives selection criteria (64.4% on average), recommends hiring a professional (40%) and asks a clarifying question (33.3%); the rarest are names a specific provider (4.5%), mentions case studies or portfolio (6.7%) and suggests a DIY approach first (8.9%). 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: 64.4% on average (ChatGPT 66.7%, Claude 73.3%, Gemini 53.3%) — a 20-point spread.
  • Recommends hiring a professional: 40% on average (ChatGPT 46.7%, Claude 46.7%, Gemini 26.7%) — a 20-point spread.
  • Asks a clarifying question: 33.3% on average (ChatGPT 53.3%, Claude 46.7%, Gemini 0%) — a 53-point spread.
  • Warns about red flags or scams: 31.1% on average (ChatGPT 33.3%, Claude 33.3%, Gemini 26.7%) — a 7-point spread.
  • Tells the buyer to verify credentials: 22.2% on average (ChatGPT 40%, Claude 20%, Gemini 6.7%) — a 33-point spread.
  • Mentions local proximity: 20% on average (ChatGPT 33.3%, Claude 13.3%, Gemini 13.3%) — a 20-point spread.
  • Gives price or cost information: 17.8% on average (ChatGPT 13.3%, Claude 6.7%, Gemini 33.3%) — a 27-point spread.
  • Recommends multiple quotes: 13.3% on average (ChatGPT 26.7%, Claude 13.3%, Gemini 0%) — a 27-point spread.
  • Tells the buyer to check reviews: 11.1% on average (ChatGPT 26.7%, Claude 6.7%, Gemini 0%) — a 27-point spread.
  • Suggests a DIY approach first: 8.9% on average (ChatGPT 20%, Claude 6.7%, Gemini 0%) — a 20-point spread.
  • Mentions case studies or portfolio: 6.7% on average (ChatGPT 6.7%, Claude 6.7%, Gemini 6.7%).
  • Names a specific provider: 4.5% on average (ChatGPT 0%, Claude 6.7%, Gemini 6.7%) — a 7-point spread.

Trust signals

How well the models protect the martial arts school buyer.

Beyond whether to hire, the rubric codes how carefully each assistant protects the martial arts school buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 11.1% of answers on average. Verifying credentials or certifications appeared in 22.2%. Warning about red flags or scams appeared in 31.1%.

On structuring the decision, a selection-criteria checklist showed up in 64.4% of answers on average and a recommendation to gather multiple quotes in 13.3%. The single least-reproduced protective signal for martial arts school is "tells the buyer to check reviews" at 11.1% 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 Martial Arts School providers?

For service providers the decisive question is whether these systems name anyone at all. Across 45 martial arts school answers, a specific provider was named in 4.5% of responses on average — roughly 0.2 distinct providers per answer. In practice the assistants behave far more as an explanatory layer than as a referral engine for martial arts school: visibility comes from being the reasoning a model reproduces, not from being the named recommendation.

The question set

What these 15 Martial Arts School questions cover.

The 15 questions behind every percentage on this page were drawn from real martial arts school (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 martial arts school 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 martial arts school 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 →