AI SEO Statistics: Auto AC Repair (2026-07 edition)

Reading the 45 answers model by model shows how differently the three assistants treat the same auto ac repair questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 73.3% (ChatGPT) down to 33.3% (Gemini), a 40-point gap on an identical question set.

Across the 15 auto ac repair answers it produced, ChatGPT recommended hiring a professional in 73.3% of them and suggested a DIY approach first 40% of the time. It named a specific provider in 0% of answers (about 0 distinct providers per answer) and included price or cost information 40% of the time. ChatGPT asked a clarifying question before answering in 86.7% of cases, warned about red flags or scams in 13.3%, and told the buyer to verify credentials in 20%, averaging 402 words per answer. On the remaining cues it told the buyer to check reviews in 6.7%, pointed to case studies or a portfolio in 0%, and framed the choice around local proximity in 20%; a selection-criteria checklist appeared in 20% of its answers and a recommendation to gather multiple quotes in 13.3%.

Across the 15 auto ac repair answers it produced, Claude recommended hiring a professional in 73.3% of them and suggested a DIY approach first 53.3% of the time. It named a specific provider in 0% of answers (about 0 distinct providers per answer) and included price or cost information 13.3% of the time. Claude 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 6.7%, averaging 294 words per answer. On the remaining cues it told the buyer to check reviews in 6.7%, pointed to case studies or a portfolio in 0%, 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 20%.

Across the 15 auto ac repair answers it produced, Gemini recommended hiring a professional in 33.3% of them and suggested a DIY approach first 40% of the time. It named a specific provider in 0% of answers (about 0 distinct providers per answer) and included price or cost information 40% of the time. Gemini asked a clarifying question before answering in 0% of cases, warned about red flags or scams in 6.7%, and told the buyer to verify credentials in 0%, averaging 277 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 13.3% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, ChatGPT is the assistant most likely to route an auto ac repair buyer to a professional (73.3%) and Gemini the least (33.3%). ChatGPT produced the longest answers, at 402 words on average. No model named a specific provider in more than 0% of answers.

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

• Names a specific provider: 0% across all three models.
• Mentions case studies or portfolio: 0% across all three models.
• Tells the buyer to check reviews: 0%–6.7% across all three (a 7-point spread).
• Suggests a DIY approach first: 40%–53.3% 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" (13.3%).

Beyond whether to hire, the rubric codes how carefully each assistant protects the auto ac repair buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 4.5% of answers on average. Verifying credentials or certifications appeared in 8.9%. Warning about red flags or scams appeared in 13.3%.

On structuring the decision, a selection-criteria checklist showed up in 22.2% of answers on average and a recommendation to gather multiple quotes in 11.1%. The single least-reproduced protective signal for auto ac repair is "tells the buyer to check reviews" at 4.5% on average — the clearest opening for content that supplies it, since the models are not yet reliably surfacing that guidance on their own.

The 15 questions behind every percentage on this page were drawn from real auto ac repair (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 auto ac repair 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.