AI SEO Statistics: Cosmetic Surgeon (2026-07 edition)

Reading the 45 answers model by model shows how differently the three assistants treat the same cosmetic surgeon questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 80% (ChatGPT) down to 33.3% (Gemini), a 47-point gap on an identical question set.

Across the 15 cosmetic surgeon answers it produced, ChatGPT recommended hiring a professional in 80% of them and suggested a DIY approach first 20% of the time. It named a specific provider in 13.3% of answers (about 0.9 distinct providers per answer) and included price or cost information 6.7% of the time. ChatGPT asked a clarifying question before answering in 46.7% of cases, warned about red flags or scams in 20%, and told the buyer to verify credentials in 86.7%, averaging 452 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 33.3%, and framed the choice around local proximity in 33.3%; a selection-criteria checklist appeared in 73.3% of its answers and a recommendation to gather multiple quotes in 33.3%.

Across the 15 cosmetic surgeon answers it produced, Claude recommended hiring a professional in 66.7% of them and suggested a DIY approach first 13.3% of the time. It named a specific provider in 13.3% of answers (about 0.7 distinct providers per answer) and included price or cost information 13.3% of the time. Claude asked a clarifying question before answering in 53.3% of cases, warned about red flags or scams in 33.3%, and told the buyer to verify credentials in 60%, averaging 284 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 20%, and framed the choice around local proximity in 20%; a selection-criteria checklist appeared in 46.7% of its answers and a recommendation to gather multiple quotes in 20%.

Across the 15 cosmetic surgeon answers it produced, Gemini recommended hiring a professional in 33.3% of them and suggested a DIY approach first 13.3% of the time. It named a specific provider in 13.3% of answers (about 0.3 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 20%, and told the buyer to verify credentials in 26.7%, averaging 283 words per answer. On the remaining cues it told the buyer to check reviews in 0%, pointed to case studies or a portfolio in 6.7%, and framed the choice around local proximity in 6.7%; 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 cosmetic surgeon buyer to a professional (80%) and Gemini the least (33.3%). ChatGPT produced the longest answers, at 452 words on average. Specific providers were named most often by ChatGPT (13.3%) — 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 cosmetic surgeon, where all three landed within a few points of each other:

• Names a specific provider: 13.3% across all three models.
• Gives price or cost information: 6.7%–13.3% across all three (a 7-point spread).
• Suggests a DIY approach first: 13.3%–20% across all three (a 7-point spread).
• Warns about red flags or scams: 20%–33.3% across all three (a 13-point spread).

Measured question by question, the three assistants coded a response the same way most consistently on "names a specific provider" (identical coding in 100% of questions) and least consistently on "asks a clarifying question" (26.7%).

Beyond whether to hire, the rubric codes how carefully each assistant protects the cosmetic surgeon buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 13.3% of answers on average. Verifying credentials or certifications appeared in 57.8%. Warning about red flags or scams appeared in 24.4%.

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 17.8%. The single least-reproduced protective signal for cosmetic surgeon is "tells the buyer to check reviews" at 13.3% on average — the clearest opening for content that supplies it, since the models are not yet reliably surfacing that guidance on their own.

The 15 questions behind every percentage on this page were drawn from real cosmetic surgeon (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 cosmetic surgeon 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.