AI SEO Statistics: Amusement Parks (2026-07 edition)

Reading the 120 answers model by model shows how differently the three assistants treat the same amusement parks questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 92.5% (ChatGPT) down to 70% (Gemini), a 23-point gap on an identical question set.

Across the 40 amusement parks answers it produced, ChatGPT recommended hiring a professional in 92.5% of them and suggested a DIY approach first 7.5% of the time. It named a specific provider in 7.5% of answers (about 0.3 distinct providers per answer) and included price or cost information 22.5% of the time. ChatGPT asked a clarifying question before answering in 37.5% of cases, warned about red flags or scams in 10%, and told the buyer to verify credentials in 30%, averaging 668 words per answer. On the remaining cues it told the buyer to check reviews in 15%, pointed to case studies or a portfolio in 22.5%, and framed the choice around local proximity in 25%; a selection-criteria checklist appeared in 35% of its answers and a recommendation to gather multiple quotes in 12.5%.

Across the 40 amusement parks answers it produced, Claude recommended hiring a professional in 85% of them and suggested a DIY approach first 5% of the time. It named a specific provider in 35% of answers (about 1.2 distinct providers per answer) and included price or cost information 15% of the time. Claude asked a clarifying question before answering in 62.5% of cases, warned about red flags or scams in 7.5%, and told the buyer to verify credentials in 27.5%, averaging 305 words per answer. On the remaining cues it told the buyer to check reviews in 15%, pointed to case studies or a portfolio in 25%, and framed the choice around local proximity in 20%; a selection-criteria checklist appeared in 47.5% of its answers and a recommendation to gather multiple quotes in 20%.

Across the 40 amusement parks answers it produced, Gemini recommended hiring a professional in 70% of them and suggested a DIY approach first 7.5% of the time. It named a specific provider in 37.5% of answers (about 1.4 distinct providers per answer) and included price or cost information 17.5% of the time. Gemini asked a clarifying question before answering in 2.5% of cases, warned about red flags or scams in 5%, and told the buyer to verify credentials in 32.5%, averaging 267 words per answer. On the remaining cues it told the buyer to check reviews in 0%, pointed to case studies or a portfolio in 7.5%, and framed the choice around local proximity in 22.5%; a selection-criteria checklist appeared in 47.5% of its answers and a recommendation to gather multiple quotes in 5%.

Taken together, ChatGPT is the assistant most likely to route an amusement parks buyer to a professional (92.5%) and Gemini the least (70%). ChatGPT produced the longest answers, at 668 words on average. Specific providers were named most often by Gemini (37.5%) — even there, roughly one answer in 3 carried a name.

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

• Suggests a DIY approach first: 5%–7.5% across all three (a 3-point spread).
• Tells the buyer to verify credentials: 27.5%–32.5% across all three (a 5-point spread).
• Mentions local proximity: 20%–25% across all three (a 5-point spread).
• Warns about red flags or scams: 5%–10% across all three (a 5-point spread).

Measured question by question, the three assistants coded a response the same way most consistently on "suggests a DIY approach first" (identical coding in 85% of questions) and least consistently on "gives selection criteria" (20%).

Beyond whether to hire, the rubric codes how carefully each assistant protects the amusement parks buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 10% of answers on average. Verifying credentials or certifications appeared in 30%. Warning about red flags or scams appeared in 7.5%.

On structuring the decision, a selection-criteria checklist showed up in 43.3% of answers on average and a recommendation to gather multiple quotes in 12.5%. The single least-reproduced protective signal for amusement parks is "warns about red flags or scams" at 7.5% 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 amusement parks (professional 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 amusement parks 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.