AI SEO Statistics: Demolition (2026-07 edition)

Reading the 120 answers model by model shows how differently the three assistants treat the same demolition questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 87.5% (ChatGPT) down to 45% (Gemini), a 43-point gap on an identical question set.

Across the 40 demolition answers it produced, ChatGPT recommended hiring a professional in 87.5% of them and suggested a DIY approach first 17.5% 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 32.5% of the time. ChatGPT asked a clarifying question before answering in 82.5% of cases, warned about red flags or scams in 10%, and told the buyer to verify credentials in 50%, averaging 575 words per answer. On the remaining cues it told the buyer to check reviews in 7.5%, pointed to case studies or a portfolio in 12.5%, and framed the choice around local proximity in 60%; a selection-criteria checklist appeared in 42.5% of its answers and a recommendation to gather multiple quotes in 25%.

Across the 40 demolition answers it produced, Claude recommended hiring a professional in 70% 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 32.5% of the time. Claude asked a clarifying question before answering in 80% of cases, warned about red flags or scams in 5%, and told the buyer to verify credentials in 25%, averaging 289 words per answer. On the remaining cues it told the buyer to check reviews in 7.5%, pointed to case studies or a portfolio in 2.5%, and framed the choice around local proximity in 27.5%; a selection-criteria checklist appeared in 25% of its answers and a recommendation to gather multiple quotes in 20%.

Across the 40 demolition answers it produced, Gemini recommended hiring a professional in 45% of them and suggested a DIY approach first 12.5% of the time. It named a specific provider in 2.5% of answers (about 0 distinct providers per answer) and included price or cost information 27.5% of the time. Gemini asked a clarifying question before answering in 0% of cases, warned about red flags or scams in 7.5%, and told the buyer to verify credentials in 10%, averaging 271 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 2.5%; a selection-criteria checklist appeared in 12.5% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, ChatGPT is the assistant most likely to route a demolition buyer to a professional (87.5%) and Gemini the least (45%). ChatGPT produced the longest answers, at 575 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 demolition, where all three landed within a few points of each other:

• Names a specific provider: 2.5%–5% across all three (a 3-point spread).
• Gives price or cost information: 27.5%–32.5% across all three (a 5-point spread).
• Warns about red flags or scams: 5%–10% across all three (a 5-point spread).
• Suggests a DIY approach first: 12.5%–20% across all three (a 8-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 92.5% of questions) and least consistently on "asks a clarifying question" (2.5%).

Beyond whether to hire, the rubric codes how carefully each assistant protects the demolition buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 5% of answers on average. Verifying credentials or certifications appeared in 28.3%. Warning about red flags or scams appeared in 7.5%.

On structuring the decision, a selection-criteria checklist showed up in 26.7% of answers on average and a recommendation to gather multiple quotes in 15%. The single least-reproduced protective signal for demolition is "tells the buyer to check reviews" at 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 demolition (home 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 demolition 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.