AI SEO Statistics: Garage Door Company (2026-07 edition)

Reading the 45 answers model by model shows how differently the three assistants treat the same garage door company questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 80% (ChatGPT) down to 26.7% (Gemini), a 53-point gap on an identical question set.

Across the 15 garage door company answers it produced, ChatGPT recommended hiring a professional in 80% of them and suggested a DIY approach first 26.7% of the time. It named a specific provider in 13.3% of answers (about 0.3 distinct providers per answer) and included price or cost information 40% of the time. ChatGPT asked a clarifying question before answering in 73.3% of cases, warned about red flags or scams in 13.3%, and told the buyer to verify credentials in 13.3%, averaging 457 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 26.7%; a selection-criteria checklist appeared in 46.7% of its answers and a recommendation to gather multiple quotes in 26.7%.

Across the 15 garage door company answers it produced, Claude recommended hiring a professional in 80% 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. Claude asked a clarifying question before answering in 66.7% of cases, warned about red flags or scams in 20%, and told the buyer to verify credentials in 6.7%, averaging 289 words per answer. On the remaining cues it told the buyer to check reviews in 26.7%, pointed to case studies or a portfolio in 0%, and framed the choice around local proximity in 33.3%; a selection-criteria checklist appeared in 46.7% of its answers and a recommendation to gather multiple quotes in 26.7%.

Across the 15 garage door company answers it produced, Gemini recommended hiring a professional in 26.7% of them and suggested a DIY approach first 20% 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 46.7% of the time. Gemini asked a clarifying question before answering in 6.7% of cases, warned about red flags or scams in 20%, and told the buyer to verify credentials in 0%, averaging 278 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 13.3%; a selection-criteria checklist appeared in 40% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, ChatGPT is the assistant most likely to route a garage door company buyer to a professional (80%) and Gemini the least (26.7%). ChatGPT produced the longest answers, at 457 words on average. Specific providers were named most often by ChatGPT (13.3%) — even there, roughly one answer in 8 carried a name.

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

• Mentions case studies or portfolio: 0% across all three models.
• Gives price or cost information: 40%–46.7% across all three (a 7-point spread).
• Gives selection criteria: 40%–46.7% across all three (a 7-point spread).
• Warns about red flags or scams: 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 "mentions case studies or portfolio" (identical coding in 100% of questions) and least consistently on "asks a clarifying question" (0%).

Beyond whether to hire, the rubric codes how carefully each assistant protects the garage door company buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 11.1% of answers on average. Verifying credentials or certifications appeared in 6.7%. Warning about red flags or scams appeared in 17.8%.

On structuring the decision, a selection-criteria checklist showed up in 44.5% of answers on average and a recommendation to gather multiple quotes in 17.8%. The single least-reproduced protective signal for garage door company is "tells the buyer to verify credentials" 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 garage door company (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 garage door company 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.