AI SEO Statistics: Dog Boarding (2026-07 edition)

Reading the 114 answers model by model shows how differently the three assistants treat the same dog boarding questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 65.8% (Claude) down to 39.5% (Gemini), a 26-point gap on an identical question set.

Across the 38 dog boarding answers it produced, ChatGPT recommended hiring a professional in 52.6% of them and suggested a DIY approach first 7.9% of the time. It named a specific provider in 13.2% of answers (about 0.4 distinct providers per answer) and included price or cost information 13.2% of the time. ChatGPT asked a clarifying question before answering in 55.3% of cases, warned about red flags or scams in 18.4%, and told the buyer to verify credentials in 34.2%, averaging 467 words per answer. On the remaining cues it told the buyer to check reviews in 28.9%, pointed to case studies or a portfolio in 0%, and framed the choice around local proximity in 36.8%; a selection-criteria checklist appeared in 47.4% of its answers and a recommendation to gather multiple quotes in 5.3%.

Across the 38 dog boarding answers it produced, Claude recommended hiring a professional in 65.8% of them and suggested a DIY approach first 7.9% of the time. It named a specific provider in 44.7% of answers (about 0.9 distinct providers per answer) and included price or cost information 18.4% of the time. Claude asked a clarifying question before answering in 63.2% of cases, warned about red flags or scams in 26.3%, and told the buyer to verify credentials in 18.4%, averaging 279 words per answer. On the remaining cues it told the buyer to check reviews in 28.9%, pointed to case studies or a portfolio in 0%, and framed the choice around local proximity in 28.9%; a selection-criteria checklist appeared in 68.4% of its answers and a recommendation to gather multiple quotes in 13.2%.

Across the 38 dog boarding answers it produced, Gemini recommended hiring a professional in 39.5% of them and suggested a DIY approach first 2.6% of the time. It named a specific provider in 42.1% of answers (about 0.9 distinct providers per answer) and included price or cost information 18.4% of the time. Gemini asked a clarifying question before answering in 0% of cases, warned about red flags or scams in 7.9%, and told the buyer to verify credentials in 10.5%, averaging 296 words per answer. On the remaining cues it told the buyer to check reviews in 2.6%, pointed to case studies or a portfolio in 0%, and framed the choice around local proximity in 15.8%; a selection-criteria checklist appeared in 50% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, Claude is the assistant most likely to route a dog boarding buyer to a professional (65.8%) and Gemini the least (39.5%). ChatGPT produced the longest answers, at 467 words on average. Specific providers were named most often by Claude (44.7%) — even there, roughly one answer in 2 carried a name.

On other behaviors the three models move almost in lockstep — the points of near-consensus for dog boarding, 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: 13.2%–18.4% across all three (a 5-point spread).
• Suggests a DIY approach first: 2.6%–7.9% across all three (a 5-point spread).
• Recommends multiple quotes: 0%–13.2% across all three (a 13-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" (18.4%).

Beyond whether to hire, the rubric codes how carefully each assistant protects the dog boarding buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 20.1% of answers on average. Verifying credentials or certifications appeared in 21%. Warning about red flags or scams appeared in 17.5%.

On structuring the decision, a selection-criteria checklist showed up in 55.3% of answers on average and a recommendation to gather multiple quotes in 6.2%. The single least-reproduced protective signal for dog boarding is "recommends multiple quotes" at 6.2% on average — the clearest opening for content that supplies it, since the models are not yet reliably surfacing that guidance on their own.

The 38 questions behind every percentage on this page were drawn from real dog boarding (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 dog boarding 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.