AI SEO Statistics: Pressure Washing (2026-07 edition)

Reading the 45 answers model by model shows how differently the three assistants treat the same pressure washing questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 60% (ChatGPT) down to 20% (Gemini), a 40-point gap on an identical question set.

Across the 15 pressure washing answers it produced, ChatGPT recommended hiring a professional in 60% of them and suggested a DIY approach first 26.7% 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. ChatGPT asked a clarifying question before answering in 33.3% of cases, warned about red flags or scams in 0%, and told the buyer to verify credentials in 20%, averaging 456 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 0%, and framed the choice around local proximity in 26.7%; a selection-criteria checklist appeared in 33.3% of its answers and a recommendation to gather multiple quotes in 20%.

Across the 15 pressure washing answers it produced, Claude recommended hiring a professional in 33.3% of them and suggested a DIY approach first 33.3% 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 33.3% of cases, warned about red flags or scams in 6.7%, and told the buyer to verify credentials in 6.7%, averaging 269 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 13.3%; a selection-criteria checklist appeared in 13.3% of its answers and a recommendation to gather multiple quotes in 13.3%.

Across the 15 pressure washing 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 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 295 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 13.3% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, ChatGPT is the assistant most likely to route a pressure washing buyer to a professional (60%) and Gemini the least (20%). ChatGPT produced the longest answers, at 456 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 pressure washing, 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: 6.7%–13.3% across all three (a 7-point spread).
• Gives price or cost information: 13.3%–20% across all three (a 7-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 "recommends hiring a professional" (46.7%).

Beyond whether to hire, the rubric codes how carefully each assistant protects the pressure washing buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 8.9% of answers on average. Verifying credentials or certifications appeared in 11.1%. Warning about red flags or scams appeared in 6.7%.

On structuring the decision, a selection-criteria checklist showed up in 20% of answers on average and a recommendation to gather multiple quotes in 11.1%. The single least-reproduced protective signal for pressure washing is "warns about red flags or scams" 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 pressure washing (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 pressure washing 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.