AI SEO Statistics: Pet Groomers (2026-07 edition)
40 questions · 120/120 expected AI responses · 3 models · measured 2026-07-06
Apply these findings to your pet groomers SEO strategy.
This benchmark explains how AI assistants advise buyers. The related service page turns those findings into the technical, content, authority, and conversion priorities for this market.
The question bank
The questions we tested: a frozen buyer-intent benchmark for pet groomers.
The question set was curated from a predefined buyer-intent taxonomy and held constant for this edition. Each model received the same wording. These are the prompts behind every percentage on this page.
Show all 40 questions
Model by model
17.9% question-level model disagreement.
This rate is the average pairwise disagreement between binary behavior codes across questions and behaviors. It is not the gap between the highest and lowest aggregated model percentages.
Behavior prevalence across 40 pet groomers benchmark questions, 2026-07 edition. Last column: equal-model mean.
| Behavior | ChatGPT | Claude | Gemini | Equal-model mean |
|---|---|---|---|---|
| Recommends hiring a professional | 57.5% | 65% | 45% | 55.8% |
| Suggests DIY first | 22.5% | 12.5% | 5% | 13.3% |
| Names specific providers | 2.5% | 5% | 10% | 5.8% |
| Gives price or cost info | 17.5% | 15% | 30% | 20.8% |
| Tells to check reviews | 22.5% | 15% | 0% | 12.5% |
| Tells to verify credentials | 25% | 15% | 12.5% | 17.5% |
| Mentions case studies / portfolio | 7.5% | 2.5% | 0% | 3.3% |
| Mentions local proximity | 35% | 25% | 15% | 25% |
| Gives selection criteria | 50% | 37.5% | 30% | 39.2% |
| Warns about red flags | 10% | 7.5% | 2.5% | 6.7% |
| Asks a clarifying question | 87.5% | 40% | 2.5% | 43.3% |
| Recommends multiple quotes | 5% | 7.5% | 0% | 4.2% |
Question-level agreement
How often all measured models received the same binary code.
Agreement is calculated question by question for each behavior. A high value can coexist with a low behavior prevalence; it means the models usually agreed on whether the behavior appeared.
All-model binary agreement by behavior across 40 benchmark questions.
| Behavior | All-model agreement |
|---|---|
| Recommends hiring a professional | 70% |
| Suggests DIY first | 82.5% |
| Names specific providers | 92.5% |
| Gives price or cost info | 77.5% |
| Tells to check reviews | 70% |
| Tells to verify credentials | 80% |
| Mentions case studies / portfolio | 92.5% |
| Mentions local proximity | 65% |
| Gives selection criteria | 57.5% |
| Warns about red flags | 87.5% |
| Asks a clarifying question | 12.5% |
| Recommends multiple quotes | 90% |
By model
How each assistant handled Pet Groomers questions.
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 buyer researching pet groomers toward professional help (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.
Where they disagree
The behaviors where the choice of model changes the answer.
Question-level model disagreement is 17.9%. This is the average pairwise rate at which models received different binary codes across questions and behaviors. The observed rate spreads below are a separate measure showing where the choice of assistant matters most for a buyer researching pet groomers:
- Asks a clarifying question: from 2.5% (Gemini) to 87.5% (ChatGPT). The spread is 85 points.
- Tells the buyer to check reviews: from 0% (Gemini) to 22.5% (ChatGPT). The spread is 23 points.
- Recommends hiring a professional: from 45% (Gemini) to 65% (Claude). The spread is 20 points.
- Mentions local proximity: from 15% (Gemini) to 35% (ChatGPT). The spread is 20 points.
- Gives selection criteria: from 30% (Gemini) to 50% (ChatGPT). The spread is 20 points.
The widest single gap concerns asks a clarifying question at 85 points. This means a buyer researching pet groomers can receive materially different guidance on the same question depending only on which assistant they happen to open, so any visibility strategy built on a single model's behavior describes only part of the pet groomers market.
Where they agree
The points of near-consensus in Pet Groomers.
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%).
Every behavior, measured
All twelve coded behaviors for Pet Groomers, averaged across the three models.
The behaviors AI models reproduce most often for pet groomers are recommends hiring a professional (55.8% on average), asks a clarifying question (43.3%) and gives selection criteria (39.2%); the rarest are mentions case studies or portfolio (3.3%), recommends multiple quotes (4.2%) and names a specific provider (5.8%). Each figure below is the share of a model's 40 answers in which the behavior appeared at least once, averaged across the 3 models with the full per-model range in parentheses:
- Recommends hiring a professional: 55.8% on average (ChatGPT 57.5%, Claude 65%, Gemini 45%). The spread is 20 points.
- Asks a clarifying question: 43.3% on average (ChatGPT 87.5%, Claude 40%, Gemini 2.5%). The spread is 85 points.
- Gives selection criteria: 39.2% on average (ChatGPT 50%, Claude 37.5%, Gemini 30%). The spread is 20 points.
- Mentions local proximity: 25% on average (ChatGPT 35%, Claude 25%, Gemini 15%). The spread is 20 points.
- Gives price or cost information: 20.8% on average (ChatGPT 17.5%, Claude 15%, Gemini 30%). The spread is 15 points.
- Tells the buyer to verify credentials: 17.5% on average (ChatGPT 25%, Claude 15%, Gemini 12.5%). The spread is 13 points.
- Suggests a DIY approach first: 13.3% on average (ChatGPT 22.5%, Claude 12.5%, Gemini 5%). The spread is 18 points.
- Tells the buyer to check reviews: 12.5% on average (ChatGPT 22.5%, Claude 15%, Gemini 0%). The spread is 23 points.
- Warns about red flags or scams: 6.7% on average (ChatGPT 10%, Claude 7.5%, Gemini 2.5%). The spread is 8 points.
- Names a specific provider: 5.8% on average (ChatGPT 2.5%, Claude 5%, Gemini 10%). The spread is 8 points.
- Recommends multiple quotes: 4.2% on average (ChatGPT 5%, Claude 7.5%, Gemini 0%). The spread is 8 points.
- Mentions case studies or portfolio: 3.3% on average (ChatGPT 7.5%, Claude 2.5%, Gemini 0%). The spread is 8 points.
Trust signals
How well the models protect the pet groomers buyer.
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. This is the clearest opening for content that supplies it, since the models are not yet reliably surfacing that guidance on their own.
Referral behavior
Do AI models name Pet Groomers providers?
For service providers the decisive question is whether these systems name anyone at all. Across 120 pet groomers answers, a specific provider was named in 5.8% of responses on average, or roughly 0.1 distinct providers per answer. In practice the assistants behave far more as an explanatory layer than as a referral engine for pet groomers: visibility comes from being the reasoning a model reproduces, not from being the named recommendation.
The question set
What these 40 Pet Groomers questions cover.
The 40 questions behind every percentage on this page form a frozen pet groomers (home services; buyer hiring decisions for this specific service) buyer-intent benchmark. 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 rather than 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.
How to read this
A note on the numbers.
A percentage here is the share of a model's 40 answers in which the behavior appeared at least once. It is not a confidence score. Because each model answered every question exactly once on 2026-07-06, the figures describe this specific pet groomers question set and snapshot rather than a general prior. The full protocol and coding rubric are documented in the study methodology.
Methodology
A controlled snapshot, documented end to end.
40 frozen benchmark questions, one expected response per model per question (ChatGPT API (gpt-5-mini), Claude API (claude-sonnet-5), Gemini API (gemini-3-flash-preview)), collected 2026-07-06 and coded against a fixed 12-behavior rubric. The pipeline validates the schema, recomputes aggregates and reports consistency issues. AI outputs vary with model version, location and time, so the figures describe this edition's exact sample and measurement window. Read the full methodology →
Citation
Cite this edition.
Authority Specialist. “AI SEO Statistics: Pet Groomers (2026-07 edition).” AuthoritySpecialist.com. https://authorityspecialist.com/research/ai-seo-statistics/services/home/pet-groomers