AI SEO Statistics: Dryer Vent Cleaning (2026-07 edition)

Reading the 120 answers model by model shows how differently the three assistants treat the same dryer vent cleaning questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 82.5% (ChatGPT) down to 40% (Gemini), a 43-point gap on an identical question set.

Across the 40 dryer vent cleaning answers it produced, ChatGPT recommended hiring a professional in 82.5% of them and suggested a DIY approach first 37.5% of the time. It named a specific provider in 0% of answers (about 0 distinct providers per answer) and included price or cost information 17.5% of the time. ChatGPT asked a clarifying question before answering in 72.5% of cases, warned about red flags or scams in 12.5%, and told the buyer to verify credentials in 30%, averaging 437 words per answer. On the remaining cues it told the buyer to check reviews in 12.5%, pointed to case studies or a portfolio in 5%, and framed the choice around local proximity in 20%; a selection-criteria checklist appeared in 37.5% of its answers and a recommendation to gather multiple quotes in 12.5%.

Across the 40 dryer vent cleaning answers it produced, Claude recommended hiring a professional in 77.5% of them and suggested a DIY approach first 32.5% 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 20% of the time. Claude asked a clarifying question before answering in 62.5% of cases, warned about red flags or scams in 22.5%, and told the buyer to verify credentials in 10%, averaging 273 words per answer. On the remaining cues it told the buyer to check reviews in 15%, pointed to case studies or a portfolio in 0%, and framed the choice around local proximity in 15%; a selection-criteria checklist appeared in 30% of its answers and a recommendation to gather multiple quotes in 12.5%.

Across the 40 dryer vent cleaning answers it produced, Gemini recommended hiring a professional in 40% of them and suggested a DIY approach first 30% 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 22.5% of the time. Gemini asked a clarifying question before answering in 2.5% of cases, warned about red flags or scams in 17.5%, and told the buyer to verify credentials in 7.5%, averaging 318 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 15% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, ChatGPT is the assistant most likely to route a dryer vent cleaning buyer to a professional (82.5%) and Gemini the least (40%). ChatGPT produced the longest answers, at 437 words on average. Specific providers were named most often by Claude (2.5%) — even there, roughly one answer in 40 carried a name.

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

• Names a specific provider: 0%–2.5% across all three (a 3-point spread).
• Gives price or cost information: 17.5%–22.5% across all three (a 5-point spread).
• Mentions case studies or portfolio: 0%–5% across all three (a 5-point spread).
• Suggests a DIY approach first: 30%–37.5% 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 95% of questions) and least consistently on "asks a clarifying question" (17.5%).

Beyond whether to hire, the rubric codes how carefully each assistant protects the dryer vent cleaning buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 9.2% of answers on average. Verifying credentials or certifications appeared in 15.8%. Warning about red flags or scams appeared in 17.5%.

On structuring the decision, a selection-criteria checklist showed up in 27.5% of answers on average and a recommendation to gather multiple quotes in 8.3%. The single least-reproduced protective signal for dryer vent cleaning is "recommends multiple quotes" at 8.3% 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 dryer vent cleaning (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 dryer vent cleaning 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.