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

Reading the 45 answers model by model shows how differently the three assistants treat the same auto paintless dent repair questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 86.7% (ChatGPT) down to 33.3% (Gemini), a 53-point gap on an identical question set.

Across the 15 auto paintless dent repair answers it produced, ChatGPT recommended hiring a professional in 86.7% of them and suggested a DIY approach first 13.3% of the time. It named a specific provider in 6.7% of answers (about 0 distinct providers per answer) and included price or cost information 26.7% of the time. ChatGPT asked a clarifying question before answering in 40% of cases, warned about red flags or scams in 6.7%, and told the buyer to verify credentials in 6.7%, averaging 437 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 26.7%, and framed the choice around local proximity in 20%; a selection-criteria checklist appeared in 40% of its answers and a recommendation to gather multiple quotes in 33.3%.

Across the 15 auto paintless dent repair answers it produced, Claude recommended hiring a professional in 80% of them and suggested a DIY approach first 13.3% of the time. It named a specific provider in 6.7% of answers (about 0.1 distinct providers per answer) and included price or cost information 20% of the time. Claude asked a clarifying question before answering in 40% of cases, warned about red flags or scams in 20%, and told the buyer to verify credentials in 13.3%, averaging 284 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 40% of its answers and a recommendation to gather multiple quotes in 20%.

Across the 15 auto paintless dent repair answers it produced, Gemini recommended hiring a professional in 33.3% of them and suggested a DIY approach first 0% of the time. It named a specific provider in 0% of answers (about 0 distinct providers per answer) and included price or cost information 20% of the time. Gemini asked a clarifying question before answering in 0% of cases, warned about red flags or scams in 13.3%, 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 6.7%; 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 paintless dent repair buyer to a professional (86.7%) and Gemini the least (33.3%). ChatGPT produced the longest answers, at 437 words on average. Specific providers were named most often by ChatGPT (6.7%) — even there, roughly one answer in 15 carried a name.

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

• Tells the buyer to verify credentials: 6.7%–13.3% across all three (a 7-point spread).
• Names a specific provider: 0%–6.7% across all three (a 7-point spread).
• Gives price or cost information: 20%–26.7% across all three (a 7-point spread).
• Suggests a DIY approach first: 0%–13.3% 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 93.3% of questions) and least consistently on "recommends hiring a professional" (33.3%).

Beyond whether to hire, the rubric codes how carefully each assistant protects the auto paintless dent repair 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 8.9%. Warning about red flags or scams appeared in 13.3%.

On structuring the decision, a selection-criteria checklist showed up in 31.1% of answers on average and a recommendation to gather multiple quotes in 17.8%. The single least-reproduced protective signal for auto paintless dent repair 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 15 questions behind every percentage on this page were drawn from real auto paintless dent 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 paintless dent 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.