AI SEO Statistics: Lasik Practices (2026-07 edition)

Reading the 120 answers model by model shows how differently the three assistants treat the same lasik practices questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 70% (ChatGPT) down to 17.5% (Gemini), a 53-point gap on an identical question set.

Across the 40 lasik practices answers it produced, ChatGPT recommended hiring a professional in 70% of them and suggested a DIY approach first 2.5% 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 57.5% of cases, warned about red flags or scams in 15%, and told the buyer to verify credentials in 22.5%, averaging 491 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 12.5%, and framed the choice around local proximity in 10%; a selection-criteria checklist appeared in 42.5% of its answers and a recommendation to gather multiple quotes in 10%.

Across the 40 lasik practices answers it produced, Claude recommended hiring a professional in 57.5% of them and suggested a DIY approach first 0% 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 12.5% of the time. Claude asked a clarifying question before answering in 60% of cases, warned about red flags or scams in 22.5%, and told the buyer to verify credentials in 12.5%, averaging 283 words per answer. On the remaining cues it told the buyer to check reviews in 7.5%, pointed to case studies or a portfolio in 2.5%, and framed the choice around local proximity in 5%; a selection-criteria checklist appeared in 42.5% of its answers and a recommendation to gather multiple quotes in 22.5%.

Across the 40 lasik practices answers it produced, Gemini recommended hiring a professional in 17.5% of them and suggested a DIY approach first 2.5% of the time. It named a specific provider in 2.5% of answers (about 0.2 distinct providers per answer) and included price or cost information 15% of the time. Gemini asked a clarifying question before answering in 2.5% of cases, warned about red flags or scams in 15%, and told the buyer to verify credentials in 2.5%, averaging 248 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 0%; a selection-criteria checklist appeared in 15% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, ChatGPT is the assistant most likely to route a lasik practices buyer to a professional (70%) and Gemini the least (17.5%). ChatGPT produced the longest answers, at 491 words on average. Specific providers were named most often by Claude (2.5%) — even there, roughly one answer in 40 carried a name.

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

• Suggests a DIY approach first: 0%–2.5% across all three (a 3-point spread).
• Names a specific provider: 0%–2.5% across all three (a 3-point spread).
• Warns about red flags or scams: 15%–22.5% across all three (a 8-point spread).
• Gives price or cost information: 5%–15% across all three (a 10-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 97.5% of questions) and least consistently on "asks a clarifying question" (17.5%).

Beyond whether to hire, the rubric codes how carefully each assistant protects the lasik practices buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 6.7% of answers on average. Verifying credentials or certifications appeared in 12.5%. Warning about red flags or scams appeared in 17.5%.

On structuring the decision, a selection-criteria checklist showed up in 33.3% of answers on average and a recommendation to gather multiple quotes in 10.8%. The single least-reproduced protective signal for lasik practices is "tells the buyer to check reviews" 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.

The 40 questions behind every percentage on this page were drawn from real lasik practices (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 lasik practices 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.