AI SEO Statistics: Ivf Clinic SEO Marketing (2026-07 edition)

Reading the 120 answers model by model shows how differently the three assistants treat the same ivf clinic seo marketing questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 27.5% (ChatGPT) down to 12.5% (Claude), a 15-point gap on an identical question set.

Across the 40 ivf clinic seo marketing answers it produced, ChatGPT recommended hiring a professional in 27.5% of them and suggested a DIY approach first 55% of the time. It named a specific provider in 5% of answers (about 0.3 distinct providers per answer) and included price or cost information 10% of the time. ChatGPT asked a clarifying question before answering in 45% of cases, warned about red flags or scams in 15%, and told the buyer to verify credentials in 5%, averaging 739 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 15%, and framed the choice around local proximity in 22.5%; a selection-criteria checklist appeared in 20% of its answers and a recommendation to gather multiple quotes in 5%.

Across the 40 ivf clinic seo marketing answers it produced, Claude recommended hiring a professional in 12.5% of them and suggested a DIY approach first 25% of the time. It named a specific provider in 5% of answers (about 0.1 distinct providers per answer) and included price or cost information 10% of the time. Claude asked a clarifying question before answering in 62.5% of cases, warned about red flags or scams in 15%, and told the buyer to verify credentials in 2.5%, averaging 333 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 7.5%, and framed the choice around local proximity in 32.5%; a selection-criteria checklist appeared in 20% of its answers and a recommendation to gather multiple quotes in 2.5%.

Across the 40 ivf clinic seo marketing answers it produced, Gemini recommended hiring a professional in 15% of them and suggested a DIY approach first 20% of the time. It named a specific provider in 5% of answers (about 0.1 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 12.5%, and told the buyer to verify credentials in 5%, averaging 236 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 35%; a selection-criteria checklist appeared in 17.5% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, ChatGPT is the assistant most likely to route an ivf clinic seo marketing buyer to a professional (27.5%) and Claude the least (12.5%). ChatGPT produced the longest answers, at 739 words on average. Specific providers were named most often by ChatGPT (5%) — even there, roughly one answer in 20 carried a name.

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

• Names a specific provider: 5% across all three models.
• Tells the buyer to check reviews: 2.5% across all three models.
• Gives price or cost information: 7.5%–10% across all three (a 3-point spread).
• Tells the buyer to verify credentials: 2.5%–5% across all three (a 3-point spread).

Measured question by question, the three assistants coded a response the same way most consistently on "recommends multiple quotes" (identical coding in 95% of questions) and least consistently on "asks a clarifying question" (25%).

Beyond whether to hire, the rubric codes how carefully each assistant protects the ivf clinic seo marketing buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 2.5% of answers on average. Verifying credentials or certifications appeared in 4.2%. Warning about red flags or scams appeared in 14.2%.

On structuring the decision, a selection-criteria checklist showed up in 19.2% of answers on average and a recommendation to gather multiple quotes in 2.5%. The single least-reproduced protective signal for ivf clinic seo marketing is "tells the buyer to check reviews" at 2.5% 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 ivf clinic seo marketing (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 ivf clinic seo marketing 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.