Original research · 2026-07 edition

AI SEO Statistics: Court Ordered 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 court ordered rehab center.

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

My brother got a DUI and the judge said he needs rehab, where do I even start looking for a place that qualifies?
What is the difference between a regular detox and one that is specifically certified for court mandates?
How do I verify if a rehab center is actually accredited to report compliance back to a probation officer?
Does private health insurance usually cover court-ordered drug treatment or do we have to pay the full cost out of pocket?
I need a court-approved inpatient facility in my area that has an open bed available for a new intake immediately.
Can I choose an intensive outpatient program (IOP) instead of residential if the court order doesn't specify?
Are there court-mandated rehab centers that offer work-release programs so I don't lose my job?
What are some red flags that a court-ordered facility is just a 'mill' and won't actually help my legal case?
Show all 15 questions
Is it better to go to a high-end private facility or a state-funded one when trying to impress a judge?
I have a sentencing hearing in ten days, how fast can I get a clinical assessment and an enrollment letter for my lawyer?
Looking for a court-approved rehab that specializes in dual diagnosis for someone with both addiction and PTSD.
What kind of documentation should I ask for to prove to the court that I've successfully completed my program?
What is the average monthly cost for a court-mandated residential treatment program if I'm paying cash?
Which local rehab centers have the best reputation for actually helping people stay sober versus just checking a box for the court?
Do court-ordered facilities usually allow you to keep your cell phone or have scheduled visits with your kids?

Model by model

22-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 court ordered rehab center buyers.

Behavior rates across 15 court ordered rehab center buyer questions, 2026-07 edition. Last column: average across models.
ChatGPTClaudeGeminiConsensus
Recommends hiring a professional73%47%47%53%
Suggests DIY first47%40%27%53%
Names specific providers0%7%0%93%
Gives price or cost info7%7%7%100%
Tells to check reviews0%13%0%87%
Tells to verify credentials40%47%40%27%
Mentions case studies / portfolio0%0%0%100%
Mentions local proximity33%47%27%60%
Gives selection criteria40%53%40%40%
Warns about red flags13%13%13%87%
Asks a clarifying question67%80%13%13%
Recommends multiple quotes13%7%0%87%

By model

How each assistant handled Court Ordered Rehab Center questions.

Reading the 45 answers model by model shows how differently the three assistants treat the same court ordered rehab center 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 46.7% (Claude), a 27-point gap on an identical question set.

Across the 15 court ordered rehab center answers it produced, ChatGPT recommended hiring a professional in 73.3% of them and suggested a DIY approach first 46.7% of the time. It named a specific provider in 0% of answers (about 0 distinct providers per answer) and included price or cost information 6.7% of the time. ChatGPT asked a clarifying question before answering in 66.7% of cases, warned about red flags or scams in 13.3%, 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 0%, 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 40% of its answers and a recommendation to gather multiple quotes in 13.3%.

Across the 15 court ordered rehab center answers it produced, Claude recommended hiring a professional in 46.7% of them and suggested a DIY approach first 40% of the time. It named a specific provider in 6.7% of answers (about 0 distinct providers per answer) and included price or cost information 6.7% of the time. Claude asked a clarifying question before answering in 80% of cases, warned about red flags or scams in 13.3%, and told the buyer to verify credentials in 46.7%, averaging 293 words per answer. On the remaining cues it told the buyer to check reviews in 13.3%, pointed to case studies or a portfolio in 0%, and framed the choice around local proximity in 46.7%; a selection-criteria checklist appeared in 53.3% of its answers and a recommendation to gather multiple quotes in 6.7%.

Across the 15 court ordered rehab center answers it produced, Gemini recommended hiring a professional in 46.7% of them and suggested a DIY approach first 26.7% of the time. It named a specific provider in 0% of answers (about 0 distinct providers per answer) and included price or cost information 6.7% of the time. Gemini asked a clarifying question before answering in 13.3% of cases, warned about red flags or scams in 13.3%, and told the buyer to verify credentials in 40%, averaging 281 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 26.7%; a selection-criteria checklist appeared in 40% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, ChatGPT is the assistant most likely to route a court ordered rehab center buyer to a professional (73.3%) and Claude the least (46.7%). 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 22.2 points — the average distance between the most and least likely model across the coded behaviors. The gaps below are where which assistant a court ordered rehab center buyer happens to ask matters most:

  • Asks a clarifying question: from 13.3% (Gemini) to 80% (Claude) — a 67-point spread.
  • Recommends hiring a professional: from 46.7% (Claude) to 73.3% (ChatGPT) — a 27-point spread.
  • Suggests a DIY approach first: from 26.7% (Gemini) to 46.7% (ChatGPT) — a 20-point spread.
  • Mentions local proximity: from 26.7% (Gemini) to 46.7% (Claude) — a 20-point spread.
  • Tells the buyer to check reviews: from 0% (ChatGPT) to 13.3% (Claude) — a 13-point spread.

The widest single gap — asks a clarifying question, 67 points — means a court ordered 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 court ordered rehab center market.

Where they agree

The points of near-consensus in Court Ordered Rehab Center.

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

  • Gives price or cost information: 6.7% across all three models.
  • Mentions case studies or portfolio: 0% across all three models.
  • Warns about red flags or scams: 13.3% across all three models.
  • Names a specific provider: 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 "gives price or cost information" (identical coding in 100% of questions) and least consistently on "asks a clarifying question" (13.3%).

Every behavior, measured

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

The behaviors AI models reproduce most often for court ordered rehab center are recommends hiring a professional (55.6% on average), asks a clarifying question (53.3%) and gives selection criteria (44.4%); the rarest are mentions case studies or portfolio (0%), names a specific provider (2.2%) and tells the buyer to check reviews (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:

  • Recommends hiring a professional: 55.6% on average (ChatGPT 73.3%, Claude 46.7%, Gemini 46.7%) — a 27-point spread.
  • Asks a clarifying question: 53.3% on average (ChatGPT 66.7%, Claude 80%, Gemini 13.3%) — a 67-point spread.
  • Gives selection criteria: 44.4% on average (ChatGPT 40%, Claude 53.3%, Gemini 40%) — a 13-point spread.
  • Tells the buyer to verify credentials: 42.2% on average (ChatGPT 40%, Claude 46.7%, Gemini 40%) — a 7-point spread.
  • Suggests a DIY approach first: 37.8% on average (ChatGPT 46.7%, Claude 40%, Gemini 26.7%) — a 20-point spread.
  • Mentions local proximity: 35.6% on average (ChatGPT 33.3%, Claude 46.7%, Gemini 26.7%) — a 20-point spread.
  • Warns about red flags or scams: 13.3% on average (ChatGPT 13.3%, Claude 13.3%, Gemini 13.3%).
  • Gives price or cost information: 6.7% on average (ChatGPT 6.7%, Claude 6.7%, Gemini 6.7%).
  • Recommends multiple quotes: 6.7% on average (ChatGPT 13.3%, Claude 6.7%, Gemini 0%) — a 13-point spread.
  • Tells the buyer to check reviews: 4.4% on average (ChatGPT 0%, Claude 13.3%, Gemini 0%) — a 13-point spread.
  • Names a specific provider: 2.2% on average (ChatGPT 0%, Claude 6.7%, Gemini 0%) — a 7-point spread.
  • Mentions case studies or portfolio: 0% on average (ChatGPT 0%, Claude 0%, Gemini 0%).

Trust signals

How well the models protect the court ordered rehab center buyer.

Beyond whether to hire, the rubric codes how carefully each assistant protects the court ordered rehab center buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 4.4% of answers on average. Verifying credentials or certifications appeared in 42.2%. Warning about red flags or scams appeared in 13.3%.

On structuring the decision, a selection-criteria checklist showed up in 44.4% of answers on average and a recommendation to gather multiple quotes in 6.7%. The single least-reproduced protective signal for court ordered rehab center is "tells the buyer to check reviews" at 4.4% 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 Court Ordered Rehab Center providers?

For service providers the decisive question is whether these systems name anyone at all. Across 45 court ordered rehab center answers, a specific provider was named in 2.2% 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 court ordered rehab center: visibility comes from being the reasoning a model reproduces, not from being the named recommendation.

The question set

What these 15 Court Ordered Rehab Center questions cover.

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