AI SEO Statistics: Pet Groomers (2026-07 edition)

Reading the 120 answers model by model shows how differently the three assistants treat the same pet groomers questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 65% (Claude) down to 45% (Gemini), a 20-point gap on an identical question set.

Across the 40 pet groomers answers it produced, ChatGPT recommended hiring a professional in 57.5% of them and suggested a DIY approach first 22.5% of the time. It named a specific provider in 2.5% of answers (about 0.1 distinct providers per answer) and included price or cost information 17.5% of the time. ChatGPT asked a clarifying question before answering in 87.5% of cases, warned about red flags or scams in 10%, and told the buyer to verify credentials in 25%, averaging 422 words per answer. On the remaining cues it told the buyer to check reviews in 22.5%, pointed to case studies or a portfolio in 7.5%, and framed the choice around local proximity in 35%; a selection-criteria checklist appeared in 50% of its answers and a recommendation to gather multiple quotes in 5%.

Across the 40 pet groomers answers it produced, Claude recommended hiring a professional in 65% of them and suggested a DIY approach first 12.5% 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 15% of the time. Claude asked a clarifying question before answering in 40% of cases, warned about red flags or scams in 7.5%, and told the buyer to verify credentials in 15%, averaging 265 words per answer. On the remaining cues it told the buyer to check reviews in 15%, pointed to case studies or a portfolio in 2.5%, and framed the choice around local proximity in 25%; a selection-criteria checklist appeared in 37.5% of its answers and a recommendation to gather multiple quotes in 7.5%.

Across the 40 pet groomers answers it produced, Gemini recommended hiring a professional in 45% of them and suggested a DIY approach first 5% of the time. It named a specific provider in 10% of answers (about 0.2 distinct providers per answer) and included price or cost information 30% of the time. Gemini asked a clarifying question before answering in 2.5% of cases, warned about red flags or scams in 2.5%, and told the buyer to verify credentials in 12.5%, averaging 298 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 15%; a selection-criteria checklist appeared in 30% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, Claude is the assistant most likely to route a pet groomers buyer to a professional (65%) and Gemini the least (45%). ChatGPT produced the longest answers, at 422 words on average. Specific providers were named most often by Gemini (10%) — even there, roughly one answer in 10 carried a name.

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

• Names a specific provider: 2.5%–10% across all three (a 8-point spread).
• Mentions case studies or portfolio: 0%–7.5% across all three (a 8-point spread).
• Warns about red flags or scams: 2.5%–10% across all three (a 8-point spread).
• Recommends multiple quotes: 0%–7.5% 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 92.5% of questions) and least consistently on "asks a clarifying question" (12.5%).

Beyond whether to hire, the rubric codes how carefully each assistant protects the pet groomers buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 12.5% of answers on average. Verifying credentials or certifications appeared in 17.5%. Warning about red flags or scams appeared in 6.7%.

On structuring the decision, a selection-criteria checklist showed up in 39.2% of answers on average and a recommendation to gather multiple quotes in 4.2%. The single least-reproduced protective signal for pet groomers is "recommends multiple quotes" at 4.2% on average — the clearest opening for content that supplies it, since the models are not yet reliably surfacing that guidance on their own.

The 40 questions behind every percentage on this page were drawn from real pet groomers (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 pet groomers 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.