AI SEO Statistics: RV Dealer (2026-07 edition)

Reading the 45 answers model by model shows how differently the three assistants treat the same rv dealer questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 46.7% (ChatGPT) down to 20% (Gemini), a 27-point gap on an identical question set.

Across the 15 rv dealer answers it produced, ChatGPT recommended hiring a professional in 46.7% of them and suggested a DIY approach first 20% of the time. It named a specific provider in 13.3% of answers (about 1.2 distinct providers per answer) and included price or cost information 33.3% of the time. ChatGPT asked a clarifying question before answering in 40% of cases, warned about red flags or scams in 46.7%, and told the buyer to verify credentials in 6.7%, averaging 565 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 6.7%, and framed the choice around local proximity in 20%; a selection-criteria checklist appeared in 53.3% of its answers and a recommendation to gather multiple quotes in 26.7%.

Across the 15 rv dealer answers it produced, Claude recommended hiring a professional in 26.7% of them and suggested a DIY approach first 26.7% of the time. It named a specific provider in 6.7% of answers (about 0.3 distinct providers per answer) and included price or cost information 46.7% 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 13.3%, averaging 290 words per answer. On the remaining cues it told the buyer to check reviews in 20%, pointed to case studies or a portfolio in 6.7%, and framed the choice around local proximity in 26.7%; a selection-criteria checklist appeared in 60% of its answers and a recommendation to gather multiple quotes in 13.3%.

Across the 15 rv dealer answers it produced, Gemini recommended hiring a professional in 20% of them and suggested a DIY approach first 0% 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 33.3% of the time. Gemini asked a clarifying question before answering in 0% of cases, warned about red flags or scams in 33.3%, and told the buyer to verify credentials in 6.7%, averaging 285 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 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 rv dealer buyer to a professional (46.7%) and Gemini the least (20%). ChatGPT produced the longest answers, at 565 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 rv dealer, where all three landed within a few points of each other:

• Names a specific provider: 6.7%–13.3% across all three (a 7-point spread).
• Tells the buyer to verify credentials: 6.7%–13.3% across all three (a 7-point spread).
• Mentions case studies or portfolio: 0%–6.7% across all three (a 7-point spread).
• Gives price or cost information: 33.3%–46.7% across all three (a 13-point spread).

Measured question by question, the three assistants coded a response the same way most consistently on "tells the buyer to verify credentials" (identical coding in 93.3% of questions) and least consistently on "asks a clarifying question" (33.3%).

Beyond whether to hire, the rubric codes how carefully each assistant protects the rv dealer buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 11.1% of answers on average. Verifying credentials or certifications appeared in 8.9%. Warning about red flags or scams appeared in 37.8%.

On structuring the decision, a selection-criteria checklist showed up in 48.9% of answers on average and a recommendation to gather multiple quotes in 13.3%. The single least-reproduced protective signal for rv dealer is "tells the buyer to verify credentials" at 8.9% 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 rv dealer (automotive 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 rv dealer 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.