Original research · 2026-07 edition

AI SEO Statistics: ED Clinic (2026-07 edition)

40 questions · 120 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 ed clinic.

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

Why am I suddenly having trouble keeping an erection at 45?
Is it better to see a general doctor or go to a specialized men's health clinic for ED?
How much does a typical consultation at an ED clinic cost if I don't have insurance?
What are the signs that an ED clinic is just trying to sell me expensive supplements?
Does acoustic wave therapy actually work for ED or is it a gimmick?
Can I get a prescription for ED medication online without a physical exam?
What should I look for in a urologist's credentials when treating performance issues?
Are there any natural ways to fix ED before I spend money on a private clinic?
Show all 40 questions
How long does it take to see results from testosterone replacement therapy?
What is the difference between a medical ED clinic and those men's wellness centers?
I have high blood pressure, what ED treatments are safe for me?
Do most ED clinics offer payment plans for long-term treatment packages?
Is it normal for an ED clinic to ask for a large upfront fee before the first treatment?
What questions should I ask during my first appointment at a men's health clinic?
Are there any local clinics that offer discreet evening or weekend appointments?
How do I know if my ED is psychological or a physical blood flow issue?
What are the risks of getting ED injections from a specialty clinic?
Is shockwave therapy for ED covered by major health insurance providers?
Why are the prices at boutique ED clinics so much higher than a regular pharmacy?
Can diabetes-related ED be reversed with the help of a specialist?
What happens during a typical diagnostic ultrasound at an ED clinic?
I'm 30 and struggling with performance; should I be worried about an underlying condition?
Are the all-natural pills sold at some clinics regulated by the FDA?
How many sessions of shockwave therapy are usually needed to see a difference?
Is it worth paying for a concierge men's health clinic versus seeing a regular urologist?
What are the red flags I should look for in online reviews of local ED clinics?
Can a clinic help if standard pills have stopped working for me?
Do I need a referral from my primary care doctor to visit an ED specialist?
What is the success rate for PRP injections according to recent medical studies?
Are there any clinics that specialize in ED treatment for prostate cancer survivors?
How can I verify if a men's health clinic has board-certified doctors on staff?
What is the average monthly cost of a custom-blended ED medication program?
Is there a way to get a discreet consultation where no one in the waiting room knows why I am there?
Why do some clinics push TRT even if my testosterone levels are in the normal range?
Can lifestyle changes like diet and exercise replace the need for a clinic's intervention?
What are the side effects of the vacuum devices sold at medical clinics?
How do I compare the prices of different clinics if they do not list them online?
Is it safer to go to a clinic affiliated with a major hospital system?
What kind of blood work does a clinic need to do before starting ED treatment?
I need a solution before my anniversary next week, what are the fastest treatment options?

Model by model

21-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 ed clinic buyers.

Behavior rates across 40 ed clinic buyer questions, 2026-07 edition. Last column: average across models.
ChatGPTClaudeGeminiConsensus
Recommends hiring a professional65%68%35%50%
Suggests DIY first20%5%13%83%
Names specific providers10%13%28%73%
Gives price or cost info5%15%18%83%
Tells to check reviews13%13%3%83%
Tells to verify credentials28%23%10%70%
Mentions case studies / portfolio0%0%0%100%
Mentions local proximity28%18%10%68%
Gives selection criteria38%40%25%63%
Warns about red flags25%30%10%58%
Asks a clarifying question73%75%5%13%
Recommends multiple quotes5%13%3%88%

By model

How each assistant handled ED Clinic questions.

Reading the 120 answers model by model shows how differently the three assistants treat the same ed clinic questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 67.5% (Claude) down to 35% (Gemini), a 33-point gap on an identical question set.

Across the 40 ed clinic answers it produced, ChatGPT recommended hiring a professional in 65% of them and suggested a DIY approach first 20% of the time. It named a specific provider in 10% of answers (about 0.3 distinct providers per answer) and included price or cost information 5% of the time. ChatGPT asked a clarifying question before answering in 72.5% of cases, warned about red flags or scams in 25%, and told the buyer to verify credentials in 27.5%, averaging 412 words per answer. On the remaining cues it told the buyer to check reviews in 12.5%, pointed to case studies or a portfolio in 0%, and framed the choice around local proximity in 27.5%; a selection-criteria checklist appeared in 37.5% of its answers and a recommendation to gather multiple quotes in 5%.

Across the 40 ed clinic answers it produced, Claude recommended hiring a professional in 67.5% of them and suggested a DIY approach first 5% of the time. It named a specific provider in 12.5% of answers (about 0.4 distinct providers per answer) and included price or cost information 15% of the time. Claude asked a clarifying question before answering in 75% of cases, warned about red flags or scams in 30%, and told the buyer to verify credentials in 22.5%, averaging 273 words per answer. On the remaining cues it told the buyer to check reviews in 12.5%, pointed to case studies or a portfolio in 0%, and framed the choice around local proximity in 17.5%; a selection-criteria checklist appeared in 40% of its answers and a recommendation to gather multiple quotes in 12.5%.

Across the 40 ed clinic answers it produced, Gemini recommended hiring a professional in 35% of them and suggested a DIY approach first 12.5% of the time. It named a specific provider in 27.5% of answers (about 1.2 distinct providers per answer) and included price or cost information 17.5% of the time. Gemini asked a clarifying question before answering in 5% of cases, warned about red flags or scams in 10%, and told the buyer to verify credentials in 10%, averaging 262 words per answer. On the remaining cues it told the buyer to check reviews in 2.5%, pointed to case studies or a portfolio in 0%, and framed the choice around local proximity in 10%; a selection-criteria checklist appeared in 25% of its answers and a recommendation to gather multiple quotes in 2.5%.

Taken together, Claude is the assistant most likely to route an ed clinic buyer to a professional (67.5%) and Gemini the least (35%). ChatGPT produced the longest answers, at 412 words on average. Specific providers were named most often by Gemini (27.5%) — even there, roughly one answer in 4 carried a name.

Where they disagree

The behaviors where the choice of model changes the answer.

The divergence index for this study is 20.7 points — the average distance between the most and least likely model across the coded behaviors. The gaps below are where which assistant an ed clinic buyer happens to ask matters most:

  • Asks a clarifying question: from 5% (Gemini) to 75% (Claude) — a 70-point spread.
  • Recommends hiring a professional: from 35% (Gemini) to 67.5% (Claude) — a 33-point spread.
  • Warns about red flags or scams: from 10% (Gemini) to 30% (Claude) — a 20-point spread.
  • Names a specific provider: from 10% (ChatGPT) to 27.5% (Gemini) — a 18-point spread.
  • Tells the buyer to verify credentials: from 10% (Gemini) to 27.5% (ChatGPT) — a 18-point spread.

The widest single gap — asks a clarifying question, 70 points — means an ed clinic 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 ed clinic market.

Where they agree

The points of near-consensus in ED Clinic.

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

  • Mentions case studies or portfolio: 0% across all three models.
  • Tells the buyer to check reviews: 2.5%–12.5% across all three (a 10-point spread).
  • Recommends multiple quotes: 2.5%–12.5% across all three (a 10-point spread).
  • Gives price or cost information: 5%–17.5% across all three (a 13-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" (12.5%).

Every behavior, measured

All twelve coded behaviors for ED Clinic, averaged across the three models.

The behaviors AI models reproduce most often for ed clinic are recommends hiring a professional (55.8% on average), asks a clarifying question (50.8%) and gives selection criteria (34.2%); the rarest are mentions case studies or portfolio (0%), recommends multiple quotes (6.7%) and tells the buyer to check reviews (9.2%). Each figure below is the share of a model's 40 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: 55.8% on average (ChatGPT 65%, Claude 67.5%, Gemini 35%) — a 33-point spread.
  • Asks a clarifying question: 50.8% on average (ChatGPT 72.5%, Claude 75%, Gemini 5%) — a 70-point spread.
  • Gives selection criteria: 34.2% on average (ChatGPT 37.5%, Claude 40%, Gemini 25%) — a 15-point spread.
  • Warns about red flags or scams: 21.7% on average (ChatGPT 25%, Claude 30%, Gemini 10%) — a 20-point spread.
  • Tells the buyer to verify credentials: 20% on average (ChatGPT 27.5%, Claude 22.5%, Gemini 10%) — a 18-point spread.
  • Mentions local proximity: 18.3% on average (ChatGPT 27.5%, Claude 17.5%, Gemini 10%) — a 18-point spread.
  • Names a specific provider: 16.7% on average (ChatGPT 10%, Claude 12.5%, Gemini 27.5%) — a 18-point spread.
  • Suggests a DIY approach first: 12.5% on average (ChatGPT 20%, Claude 5%, Gemini 12.5%) — a 15-point spread.
  • Gives price or cost information: 12.5% on average (ChatGPT 5%, Claude 15%, Gemini 17.5%) — a 13-point spread.
  • Tells the buyer to check reviews: 9.2% on average (ChatGPT 12.5%, Claude 12.5%, Gemini 2.5%) — a 10-point spread.
  • Recommends multiple quotes: 6.7% on average (ChatGPT 5%, Claude 12.5%, Gemini 2.5%) — a 10-point spread.
  • Mentions case studies or portfolio: 0% on average (ChatGPT 0%, Claude 0%, Gemini 0%).

Trust signals

How well the models protect the ed clinic buyer.

Beyond whether to hire, the rubric codes how carefully each assistant protects the ed clinic buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 9.2% of answers on average. Verifying credentials or certifications appeared in 20%. Warning about red flags or scams appeared in 21.7%.

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 6.7%. The single least-reproduced protective signal for ed clinic is "recommends multiple quotes" at 6.7% 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 ED Clinic providers?

For service providers the decisive question is whether these systems name anyone at all. Across 120 ed clinic answers, a specific provider was named in 16.7% of responses on average — roughly 0.6 distinct providers per answer. In practice the assistants behave far more as an explanatory layer than as a referral engine for ed clinic: visibility comes from being the reasoning a model reproduces, not from being the named recommendation.

The question set

What these 40 ED Clinic questions cover.

The 40 questions behind every percentage on this page were drawn from real ed clinic (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 ed clinic 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 40 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 ed clinic 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.

40 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 →