AI SEO Statistics: Women S Hormone Clinics (2026-07 edition)

Reading the 120 answers model by model shows how differently the three assistants treat the same women s hormone clinics questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 77.5% (ChatGPT) down to 42.5% (Gemini), a 35-point gap on an identical question set.

Across the 40 women s hormone clinics answers it produced, ChatGPT recommended hiring a professional in 77.5% of them and suggested a DIY approach first 22.5% of the time. It named a specific provider in 0% of answers (about 0 distinct providers per answer) and included price or cost information 5% of the time. ChatGPT asked a clarifying question before answering in 77.5% of cases, warned about red flags or scams in 20%, and told the buyer to verify credentials in 32.5%, averaging 537 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 5%, and framed the choice around local proximity in 20%; a selection-criteria checklist appeared in 37.5% of its answers and a recommendation to gather multiple quotes in 0%.

Across the 40 women s hormone clinics answers it produced, Claude recommended hiring a professional in 72.5% of them and suggested a DIY approach first 10% of the time. It named a specific provider in 2.5% of answers (about 0.1 distinct providers per answer) and included price or cost information 5% of the time. Claude asked a clarifying question before answering in 87.5% of cases, warned about red flags or scams in 35%, and told the buyer to verify credentials in 35%, averaging 290 words per answer. On the remaining cues it told the buyer to check reviews in 10%, pointed to case studies or a portfolio in 0%, and framed the choice around local proximity in 12.5%; a selection-criteria checklist appeared in 42.5% of its answers and a recommendation to gather multiple quotes in 2.5%.

Across the 40 women s hormone clinics answers it produced, Gemini recommended hiring a professional in 42.5% of them and suggested a DIY approach first 5% of the time. It named a specific provider in 12.5% of answers (about 0.3 distinct providers per answer) and included price or cost information 7.5% of the time. Gemini asked a clarifying question before answering in 0% of cases, warned about red flags or scams in 10%, and told the buyer to verify credentials in 5%, averaging 247 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 22.5% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, ChatGPT is the assistant most likely to route a women s hormone clinics buyer to a professional (77.5%) and Gemini the least (42.5%). ChatGPT produced the longest answers, at 537 words on average. Specific providers were named most often by Gemini (12.5%) — even there, roughly one answer in 8 carried a name.

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

• Gives price or cost information: 5%–7.5% across all three (a 3-point spread).
• Recommends multiple quotes: 0%–2.5% across all three (a 3-point spread).
• Mentions case studies or portfolio: 0%–5% across all three (a 5-point spread).
• Tells the buyer to check reviews: 2.5%–12.5% across all three (a 10-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 97.5% of questions) and least consistently on "asks a clarifying question" (2.5%).

Beyond whether to hire, the rubric codes how carefully each assistant protects the women s hormone clinics buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 8.3% of answers on average. Verifying credentials or certifications appeared in 24.2%. 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 0.8%. The single least-reproduced protective signal for women s hormone clinics is "recommends multiple quotes" at 0.8% on average — the clearest opening for content that supplies it, since the models are not yet reliably surfacing that guidance on their own.

The 40 questions behind every percentage on this page were drawn from real women s hormone clinics (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 women s hormone clinics 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.