Original research · 2026-07 edition

AI SEO Statistics: Mens Rehab Center (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 mens rehab center.

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

I think my brother needs help with alcohol but he's worried about losing his job if he goes to a facility for a month, what are his rights?
Is a men's only rehab actually better for recovery than a co-ed one or does it not really matter?
What should I look for in a treatment center if my husband has both depression and a pill addiction?
How much does a typical 30-day inpatient program for men cost if we don't have private insurance?
Can I find a rehab that specializes in male-specific trauma or is that not a common thing?
My son is refusing to go to treatment, can a men's rehab center help with an intervention?
Are there specific red flags I should watch out for when looking at luxury rehab centers for men?
What's the difference between a residential program and a high-intensity outpatient program for a guy who still needs to work?
Show all 15 questions
Do most men's rehabs allow you to keep your phone or laptop for business calls?
I need to find a place for my dad that handles detox and long-term care in the same building, how do I search for that?
Is it better to go to a rehab center near home or is it smarter to send him out of state to get away from bad influences?
What kind of success rates should a reputable men's facility be able to show me before I sign any paperwork?
Does insurance usually cover a stay at a gender-specific facility or is that considered an extra cost?
My husband is worried about being the oldest guy there, are there programs specifically for middle-aged men?
How do I know if a facility is actually evidence-based or if they just use a bunch of buzzwords?

Model by model

24-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 mens rehab center buyers.

Behavior rates across 15 mens rehab center buyer questions, 2026-07 edition. Last column: average across models.
ChatGPTClaudeGeminiConsensus
Recommends hiring a professional47%33%27%53%
Suggests DIY first20%27%7%80%
Names specific providers13%7%7%87%
Gives price or cost info0%0%13%87%
Tells to check reviews27%7%0%73%
Tells to verify credentials40%27%20%40%
Mentions case studies / portfolio7%0%0%93%
Mentions local proximity27%27%20%47%
Gives selection criteria60%60%33%33%
Warns about red flags20%20%27%73%
Asks a clarifying question67%73%0%13%
Recommends multiple quotes7%0%0%93%

By model

How each assistant handled Mens Rehab Center questions.

Reading the 45 answers model by model shows how differently the three assistants treat the same mens rehab center 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 mens rehab center 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 13.3% of answers (about 0.5 distinct providers per answer) and included price or cost information 0% of the time. ChatGPT asked a clarifying question before answering in 66.7% of cases, warned about red flags or scams in 20%, and told the buyer to verify credentials in 40%, averaging 493 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 26.7%; a selection-criteria checklist appeared in 60% of its answers and a recommendation to gather multiple quotes in 6.7%.

Across the 15 mens rehab center answers it produced, Claude recommended hiring a professional in 33.3% of them and suggested a DIY approach first 26.7% 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 0% of the time. Claude asked a clarifying question before answering in 73.3% of cases, warned about red flags or scams in 20%, and told the buyer to verify credentials in 26.7%, averaging 294 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 26.7%; a selection-criteria checklist appeared in 60% of its answers and a recommendation to gather multiple quotes in 0%.

Across the 15 mens rehab center answers it produced, Gemini recommended hiring a professional in 26.7% 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 13.3% 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 20%, averaging 260 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 20%; 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 mens rehab center buyer to a professional (46.7%) and Gemini the least (26.7%). ChatGPT produced the longest answers, at 493 words on average. Specific providers were named most often by ChatGPT (13.3%) — even there, roughly one answer in 8 carried a name.

Where they disagree

The behaviors where the choice of model changes the answer.

The divergence index for this study is 23.7 points — the average distance between the most and least likely model across the coded behaviors. The gaps below are where which assistant a mens rehab center buyer happens to ask matters most:

  • Asks a clarifying question: from 0% (Gemini) to 73.3% (Claude) — a 73-point spread.
  • Tells the buyer to check reviews: from 0% (Gemini) to 26.7% (ChatGPT) — a 27-point spread.
  • Gives selection criteria: from 33.3% (Gemini) to 60% (ChatGPT) — a 27-point spread.
  • Recommends hiring a professional: from 26.7% (Gemini) to 46.7% (ChatGPT) — a 20-point spread.
  • Suggests a DIY approach first: from 6.7% (Gemini) to 26.7% (Claude) — a 20-point spread.

The widest single gap — asks a clarifying question, 73 points — means a mens rehab center 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 mens rehab center market.

Where they agree

The points of near-consensus in Mens Rehab Center.

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

  • Names a specific provider: 6.7%–13.3% across all three (a 7-point spread).
  • Mentions case studies or portfolio: 0%–6.7% across all three (a 7-point spread).
  • Mentions local proximity: 20%–26.7% across all three (a 7-point spread).
  • Warns about red flags or scams: 20%–26.7% 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 93.3% of questions) and least consistently on "asks a clarifying question" (13.3%).

Every behavior, measured

All twelve coded behaviors for Mens Rehab Center, averaged across the three models.

The behaviors AI models reproduce most often for mens rehab center are gives selection criteria (51.1% on average), asks a clarifying question (46.7%) and recommends hiring a professional (35.6%); the rarest are recommends multiple quotes (2.2%), mentions case studies or portfolio (2.2%) and gives price or cost information (4.4%). 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: 51.1% on average (ChatGPT 60%, Claude 60%, Gemini 33.3%) — a 27-point spread.
  • Asks a clarifying question: 46.7% on average (ChatGPT 66.7%, Claude 73.3%, Gemini 0%) — a 73-point spread.
  • Recommends hiring a professional: 35.6% on average (ChatGPT 46.7%, Claude 33.3%, Gemini 26.7%) — a 20-point spread.
  • Tells the buyer to verify credentials: 28.9% on average (ChatGPT 40%, Claude 26.7%, Gemini 20%) — a 20-point spread.
  • Mentions local proximity: 24.5% on average (ChatGPT 26.7%, Claude 26.7%, Gemini 20%) — a 7-point spread.
  • Warns about red flags or scams: 22.2% on average (ChatGPT 20%, Claude 20%, Gemini 26.7%) — a 7-point spread.
  • Suggests a DIY approach first: 17.8% on average (ChatGPT 20%, Claude 26.7%, Gemini 6.7%) — a 20-point spread.
  • Tells the buyer to check reviews: 11.1% on average (ChatGPT 26.7%, Claude 6.7%, Gemini 0%) — a 27-point spread.
  • Names a specific provider: 8.9% on average (ChatGPT 13.3%, Claude 6.7%, Gemini 6.7%) — a 7-point spread.
  • Gives price or cost information: 4.4% on average (ChatGPT 0%, Claude 0%, Gemini 13.3%) — a 13-point spread.
  • Mentions case studies or portfolio: 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.

Trust signals

How well the models protect the mens rehab center buyer.

Beyond whether to hire, the rubric codes how carefully each assistant protects the mens rehab center 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 28.9%. Warning about red flags or scams appeared in 22.2%.

On structuring the decision, a selection-criteria checklist showed up in 51.1% of answers on average and a recommendation to gather multiple quotes in 2.2%. The single least-reproduced protective signal for mens rehab center is "recommends multiple quotes" 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 Mens Rehab Center providers?

For service providers the decisive question is whether these systems name anyone at all. Across 45 mens rehab center answers, a specific provider was named in 8.9% 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 mens rehab center: visibility comes from being the reasoning a model reproduces, not from being the named recommendation.

The question set

What these 15 Mens Rehab Center questions cover.

The 15 questions behind every percentage on this page were drawn from real mens rehab center (healthcare 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 mens rehab center 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 mens rehab center 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 →