Original research · 2026-07 edition

AI SEO Statistics: Medical Weight Loss Companies (2026-07 edition)

37 questions · 111 AI responses · 3 models · measured 2026-07-06

See how AI talks about YOUR businessFull data table

The question bank

The questions we tested — sampled from real buyer journeys in medical weight loss companies.

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

At what BMI do doctors usually start recommending prescription weight loss programs?
I've tried every diet and nothing works, how do I know if I have a metabolic issue that needs medical help?
What's the difference between a medical weight loss clinic and just going to my regular family doctor?
How much does a typical monthly subscription for a medical weight loss program cost without insurance?
Are those online weight loss clinics that prescribe injections actually safe and legit?
Is it better to go to a local bariatric specialist or use one of those national telehealth platforms?
What kind of blood work should a reputable weight loss doctor order before starting me on any medication?
How can I tell if a weight loss clinic is just a pill mill versus a legitimate medical practice?
Show all 37 questions
Does insurance usually cover the cost of the doctor visits for weight loss even if they don't cover the meds?
I need to lose 30 pounds before my knee surgery in three months, can a medical program help me do it that fast?
What are the long-term risks of staying on medical weight loss injections for more than a year?
Do I have to stay on the medication forever to keep the weight off once I finish a medical program?
My friend is getting compounded semaglutide from a medspa, is that the same thing as what a weight loss doctor prescribes?
What are the red flags I should look for when reading reviews for a medical weight loss company?
Can a medical weight loss program help someone with PCOS who struggles to lose weight despite exercising?
Are there any medical weight loss options that don't involve needles or injections?
How often do I need to have check-ins with the doctor while on a prescription weight loss plan?
What happens if I have bad side effects from the weight loss meds, do these companies offer 24/7 support?
Is it cheaper to buy weight loss meds through a clinic or get a prescription and use a coupon at a local pharmacy?
Do medical weight loss programs include meal plans and coaching, or is it just about the medication?
I'm worried about losing muscle while on these drugs, how do medical programs prevent that?
What qualifications should the staff have at a weight loss clinic, should I look for an endocrinologist?
Can I get a refund from a weight loss company if the medication doesn't work for me or I can't tolerate it?
How do I find a weight loss doctor who specializes in menopause-related weight gain?
Is there a way to get weight loss medication covered by insurance if I have high blood pressure or pre-diabetes?
What's the average weight loss percentage people see in the first six months of a medically supervised program?
Some clinics offer fat burning lipotropic injections, is there actually any science behind those?
Should I choose a program that focuses on low-carb diets or one that uses a more balanced approach with medication?
How do I switch from one medical weight loss provider to another if I'm not happy with my current care?
Are there age limits for medical weight loss programs, like for seniors or teenagers?
What is the process for getting a prior authorization approved for weight loss drugs through a specialist?
I'm looking for a clinic that offers holistic support like therapy or stress management alongside medical treatment.
Do any medical weight loss companies offer a free consultation before you have to commit to a monthly fee?
What's the difference between brand-name weight loss drugs and the compounded versions sold by many clinics?
Is it safe to use a weight loss company that only communicates via text or chat?
How do I know if my insurance considers a specific weight loss clinic in-network?
Can a medical weight loss program help with thyroid-related weight gain?

Model by model

19-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 medical weight loss companies buyers.

Behavior rates across 37 medical weight loss companies buyer questions, 2026-07 edition. Last column: average across models.
ChatGPTClaudeGeminiConsensus
Recommends hiring a professional70%57%35%43%
Suggests DIY first5%5%8%92%
Names specific providers3%14%22%73%
Gives price or cost info3%3%11%89%
Tells to check reviews8%8%3%87%
Tells to verify credentials30%24%8%70%
Mentions case studies / portfolio0%0%0%100%
Mentions local proximity14%11%8%81%
Gives selection criteria41%41%22%46%
Warns about red flags22%30%8%65%
Asks a clarifying question60%73%0%14%
Recommends multiple quotes3%0%0%97%

By model

How each assistant handled Medical Weight Loss Companies questions.

Reading the 111 answers model by model shows how differently the three assistants treat the same medical weight loss companies questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 70.3% (ChatGPT) down to 35.1% (Gemini), a 35-point gap on an identical question set.

Across the 37 medical weight loss companies answers it produced, ChatGPT recommended hiring a professional in 70.3% of them and suggested a DIY approach first 5.4% of the time. It named a specific provider in 2.7% of answers (about 0 distinct providers per answer) and included price or cost information 2.7% of the time. ChatGPT asked a clarifying question before answering in 59.5% of cases, warned about red flags or scams in 21.6%, and told the buyer to verify credentials in 29.7%, averaging 502 words per answer. On the remaining cues it told the buyer to check reviews in 8.1%, pointed to case studies or a portfolio in 0%, and framed the choice around local proximity in 13.5%; a selection-criteria checklist appeared in 40.5% of its answers and a recommendation to gather multiple quotes in 2.7%.

Across the 37 medical weight loss companies answers it produced, Claude recommended hiring a professional in 56.8% of them and suggested a DIY approach first 5.4% of the time. It named a specific provider in 13.5% of answers (about 0.2 distinct providers per answer) and included price or cost information 2.7% of the time. Claude asked a clarifying question before answering in 73% of cases, warned about red flags or scams in 29.7%, and told the buyer to verify credentials in 24.3%, averaging 282 words per answer. On the remaining cues it told the buyer to check reviews in 8.1%, pointed to case studies or a portfolio in 0%, and framed the choice around local proximity in 10.8%; a selection-criteria checklist appeared in 40.5% of its answers and a recommendation to gather multiple quotes in 0%.

Across the 37 medical weight loss companies answers it produced, Gemini recommended hiring a professional in 35.1% of them and suggested a DIY approach first 8.1% of the time. It named a specific provider in 21.6% of answers (about 0.7 distinct providers per answer) and included price or cost information 10.8% of the time. Gemini asked a clarifying question before answering in 0% of cases, warned about red flags or scams in 8.1%, and told the buyer to verify credentials in 8.1%, averaging 251 words per answer. On the remaining cues it told the buyer to check reviews in 2.7%, pointed to case studies or a portfolio in 0%, and framed the choice around local proximity in 8.1%; a selection-criteria checklist appeared in 21.6% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, ChatGPT is the assistant most likely to route a medical weight loss companies buyer to a professional (70.3%) and Gemini the least (35.1%). ChatGPT produced the longest answers, at 502 words on average. Specific providers were named most often by Gemini (21.6%) — 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 19.1 points — the average distance between the most and least likely model across the coded behaviors. The gaps below are where which assistant a medical weight loss companies buyer happens to ask matters most:

  • Asks a clarifying question: from 0% (Gemini) to 73% (Claude) — a 73-point spread.
  • Recommends hiring a professional: from 35.1% (Gemini) to 70.3% (ChatGPT) — a 35-point spread.
  • Tells the buyer to verify credentials: from 8.1% (Gemini) to 29.7% (ChatGPT) — a 22-point spread.
  • Warns about red flags or scams: from 8.1% (Gemini) to 29.7% (Claude) — a 22-point spread.
  • Names a specific provider: from 2.7% (ChatGPT) to 21.6% (Gemini) — a 19-point spread.

The widest single gap — asks a clarifying question, 73 points — means a medical weight loss companies 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 medical weight loss companies market.

Where they agree

The points of near-consensus in Medical Weight Loss Companies.

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

  • Mentions case studies or portfolio: 0% across all three models.
  • Suggests a DIY approach first: 5.4%–8.1% across all three (a 3-point spread).
  • Recommends multiple quotes: 0%–2.7% across all three (a 3-point spread).
  • Tells the buyer to check reviews: 2.7%–8.1% across all three (a 5-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" (13.5%).

Every behavior, measured

All twelve coded behaviors for Medical Weight Loss Companies, averaged across the three models.

The behaviors AI models reproduce most often for medical weight loss companies are recommends hiring a professional (54.1% on average), asks a clarifying question (44.2%) and gives selection criteria (34.2%); the rarest are mentions case studies or portfolio (0%), recommends multiple quotes (0.9%) and gives price or cost information (5.4%). Each figure below is the share of a model's 37 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: 54.1% on average (ChatGPT 70.3%, Claude 56.8%, Gemini 35.1%) — a 35-point spread.
  • Asks a clarifying question: 44.2% on average (ChatGPT 59.5%, Claude 73%, Gemini 0%) — a 73-point spread.
  • Gives selection criteria: 34.2% on average (ChatGPT 40.5%, Claude 40.5%, Gemini 21.6%) — a 19-point spread.
  • Tells the buyer to verify credentials: 20.7% on average (ChatGPT 29.7%, Claude 24.3%, Gemini 8.1%) — a 22-point spread.
  • Warns about red flags or scams: 19.8% on average (ChatGPT 21.6%, Claude 29.7%, Gemini 8.1%) — a 22-point spread.
  • Names a specific provider: 12.6% on average (ChatGPT 2.7%, Claude 13.5%, Gemini 21.6%) — a 19-point spread.
  • Mentions local proximity: 10.8% on average (ChatGPT 13.5%, Claude 10.8%, Gemini 8.1%) — a 5-point spread.
  • Suggests a DIY approach first: 6.3% on average (ChatGPT 5.4%, Claude 5.4%, Gemini 8.1%) — a 3-point spread.
  • Tells the buyer to check reviews: 6.3% on average (ChatGPT 8.1%, Claude 8.1%, Gemini 2.7%) — a 5-point spread.
  • Gives price or cost information: 5.4% on average (ChatGPT 2.7%, Claude 2.7%, Gemini 10.8%) — a 8-point spread.
  • Recommends multiple quotes: 0.9% on average (ChatGPT 2.7%, Claude 0%, Gemini 0%) — a 3-point spread.
  • Mentions case studies or portfolio: 0% on average (ChatGPT 0%, Claude 0%, Gemini 0%).

Trust signals

How well the models protect the medical weight loss companies buyer.

Beyond whether to hire, the rubric codes how carefully each assistant protects the medical weight loss companies buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 6.3% of answers on average. Verifying credentials or certifications appeared in 20.7%. Warning about red flags or scams appeared in 19.8%.

On structuring the decision, a selection-criteria checklist showed up in 34.2% of answers on average and a recommendation to gather multiple quotes in 0.9%. The single least-reproduced protective signal for medical weight loss companies is "recommends multiple quotes" at 0.9% 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 Medical Weight Loss Companies providers?

For service providers the decisive question is whether these systems name anyone at all. Across 111 medical weight loss companies answers, a specific provider was named in 12.6% of responses on average — roughly 0.3 distinct providers per answer. In practice the assistants behave far more as an explanatory layer than as a referral engine for medical weight loss companies: visibility comes from being the reasoning a model reproduces, not from being the named recommendation.

The question set

What these 37 Medical Weight Loss Companies questions cover.

The 37 questions behind every percentage on this page were drawn from real medical weight loss companies (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 medical weight loss companies 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 37 answers in which the behavior appeared at least once — not a confidence score. Because each model answered every question exactly once on 2026-07-06, the figures describe this specific medical weight loss companies 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.

37 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 2026-07-06, 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 →