Original research · 2026-07 edition

AI SEO Statistics: Powersports Dealer Website (2026-07 edition)

15 questions · 45 AI responses · 3 models · measured 2026-07-05

See how AI talks about YOUR businessFull data table

The question bank

The questions we tested — sampled from real buyer journeys in powersports dealer website.

Each model answered every question once, same wording, same day. These are the prompts behind every percentage on this page.

What is the best type of entry-level ATV for a teenager who wants to start trail riding?
Is it worth paying a dealer for a pre-delivery inspection on a used dirt bike or can I check it myself?
How can I tell if a powersports dealer has a good reputation for their service department and not just sales?
What are the typical freight and setup fees I should expect to see on a new side-by-side invoice?
Should I buy a used snowmobile from a private party or pay more for a certified pre-owned one at a dealership?
Are there any dealerships nearby that have the new 2024 utility UTV models actually on the floor for a test drive?
What are the red flags to look for when reviewing a financing contract for a new motorcycle?
My jet ski won't start and I need it fixed before the weekend, which shops in my area offer the fastest turnaround?
Show all 15 questions
Will installing an aftermarket exhaust at the dealership affect my factory warranty on a new quad?
What credit score do I usually need to qualify for the promotional 0% APR financing at a powersports dealer?
How much does a 50-hour break-in service usually cost for a modern fuel-injected UTV?
Can I trade in two older dirt bikes to get a discount on a single new dual-sport motorcycle?
What documents do I need to bring to the dealer if I'm buying an ATV from out of state to avoid double taxation?
Do most dealers offer a delivery service if I don't have a trailer to get my new side-by-side home?
Is it better to get a maintenance plan through the dealer or just pay for each oil change and inspection as I go?

Model by model

23-point average divergence: which AI you ask changes the answer.

The divergence index is the average gap between the most and least likely model per behavior. Higher = the models disagree more about powersports dealer website buyers.

Behavior rates across 15 powersports dealer website buyer questions, 2026-07 edition. Last column: average across models.
ChatGPTClaudeGeminiConsensus
Recommends hiring a professional47%40%27%60%
Suggests DIY first53%33%13%47%
Names specific providers20%27%20%73%
Gives price or cost info20%40%27%53%
Tells to check reviews13%13%7%87%
Tells to verify credentials7%7%0%93%
Mentions case studies / portfolio0%0%0%100%
Mentions local proximity13%20%20%60%
Gives selection criteria47%47%40%40%
Warns about red flags27%33%13%73%
Asks a clarifying question67%47%13%13%
Recommends multiple quotes13%20%0%80%

By model

How each assistant handled Powersports Dealer Website questions.

Reading the 45 answers model by model shows how differently the three assistants treat the same powersports dealer website questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 46.7% (ChatGPT) down to 26.7% (Gemini), a 20-point gap on an identical question set.

Across the 15 powersports dealer website answers it produced, ChatGPT recommended hiring a professional in 46.7% of them and suggested a DIY approach first 53.3% of the time. It named a specific provider in 20% of answers (about 0.5 distinct providers per answer) and included price or cost information 20% of the time. ChatGPT asked a clarifying question before answering in 66.7% of cases, warned about red flags or scams in 26.7%, and told the buyer to verify credentials in 6.7%, averaging 474 words per answer. On the remaining cues it told the buyer to check reviews in 13.3%, 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 46.7% of its answers and a recommendation to gather multiple quotes in 13.3%.

Across the 15 powersports dealer website answers it produced, Claude recommended hiring a professional in 40% of them and suggested a DIY approach first 33.3% of the time. It named a specific provider in 26.7% of answers (about 1 distinct providers per answer) and included price or cost information 40% of the time. Claude asked a clarifying question before answering in 46.7% of cases, warned about red flags or scams in 33.3%, and told the buyer to verify credentials in 6.7%, averaging 276 words per answer. On the remaining cues it told the buyer to check reviews in 13.3%, pointed to case studies or a portfolio in 0%, and framed the choice around local proximity in 20%; a selection-criteria checklist appeared in 46.7% of its answers and a recommendation to gather multiple quotes in 20%.

Across the 15 powersports dealer website answers it produced, Gemini recommended hiring a professional in 26.7% of them and suggested a DIY approach first 13.3% of the time. It named a specific provider in 20% of answers (about 0.6 distinct providers per answer) and included price or cost information 26.7% of the time. Gemini asked a clarifying question before answering in 13.3% of cases, warned about red flags or scams in 13.3%, and told the buyer to verify credentials in 0%, averaging 252 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 20%; 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 powersports dealer website buyer to a professional (46.7%) and Gemini the least (26.7%). ChatGPT produced the longest answers, at 474 words on average. Specific providers were named most often by Claude (26.7%) — even there, roughly one answer in 4 carried a name.

Where they disagree

The behaviors where the choice of model changes the answer.

The divergence index for this study is 23.3 points — the average distance between the most and least likely model across the coded behaviors. The gaps below are where which assistant a powersports dealer website buyer happens to ask matters most:

  • Asks a clarifying question: from 13.3% (Gemini) to 66.7% (ChatGPT) — a 53-point spread.
  • Suggests a DIY approach first: from 13.3% (Gemini) to 53.3% (ChatGPT) — a 40-point spread.
  • Recommends hiring a professional: from 26.7% (Gemini) to 46.7% (ChatGPT) — a 20-point spread.
  • Gives price or cost information: from 20% (ChatGPT) to 40% (Claude) — a 20-point spread.
  • Warns about red flags or scams: from 13.3% (Gemini) to 33.3% (Claude) — a 20-point spread.

The widest single gap — asks a clarifying question, 53 points — means a powersports dealer website buyer 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 powersports dealer website market.

Where they agree

The points of near-consensus in Powersports Dealer Website.

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

  • Mentions case studies or portfolio: 0% across all three models.
  • Tells the buyer to check reviews: 6.7%–13.3% across all three (a 7-point spread).
  • Names a specific provider: 20%–26.7% across all three (a 7-point spread).
  • Tells the buyer to verify credentials: 0%–6.7% 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" (13.3%).

Every behavior, measured

All twelve coded behaviors for Powersports Dealer Website, averaged across the three models.

The behaviors AI models reproduce most often for powersports dealer website are gives selection criteria (44.5% on average), asks a clarifying question (42.2%) and recommends hiring a professional (37.8%); the rarest are mentions case studies or portfolio (0%), tells the buyer to verify credentials (4.5%) and recommends multiple quotes (11.1%). Each figure below is the share of a model's 15 answers in which the behavior appeared at least once, averaged across the 3 models with the full per-model range in parentheses:

  • Gives selection criteria: 44.5% on average (ChatGPT 46.7%, Claude 46.7%, Gemini 40%) — a 7-point spread.
  • Asks a clarifying question: 42.2% on average (ChatGPT 66.7%, Claude 46.7%, Gemini 13.3%) — a 53-point spread.
  • Recommends hiring a professional: 37.8% on average (ChatGPT 46.7%, Claude 40%, Gemini 26.7%) — a 20-point spread.
  • Suggests a DIY approach first: 33.3% on average (ChatGPT 53.3%, Claude 33.3%, Gemini 13.3%) — a 40-point spread.
  • Gives price or cost information: 28.9% on average (ChatGPT 20%, Claude 40%, Gemini 26.7%) — a 20-point spread.
  • Warns about red flags or scams: 24.4% on average (ChatGPT 26.7%, Claude 33.3%, Gemini 13.3%) — a 20-point spread.
  • Names a specific provider: 22.2% on average (ChatGPT 20%, Claude 26.7%, Gemini 20%) — a 7-point spread.
  • Mentions local proximity: 17.8% on average (ChatGPT 13.3%, Claude 20%, Gemini 20%) — a 7-point spread.
  • Tells the buyer to check reviews: 11.1% on average (ChatGPT 13.3%, Claude 13.3%, Gemini 6.7%) — a 7-point spread.
  • Recommends multiple quotes: 11.1% on average (ChatGPT 13.3%, Claude 20%, Gemini 0%) — a 20-point spread.
  • Tells the buyer to verify credentials: 4.5% on average (ChatGPT 6.7%, Claude 6.7%, Gemini 0%) — a 7-point spread.
  • Mentions case studies or portfolio: 0% on average (ChatGPT 0%, Claude 0%, Gemini 0%).

Trust signals

How well the models protect the powersports dealer website buyer.

Beyond whether to hire, the rubric codes how carefully each assistant protects the powersports dealer website 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 4.5%. Warning about red flags or scams appeared in 24.4%.

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 11.1%. The single least-reproduced protective signal for powersports dealer website is "tells the buyer to verify credentials" at 4.5% on average — 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 Powersports Dealer Website providers?

For service providers the decisive question is whether these systems name anyone at all. Across 45 powersports dealer website answers, a specific provider was named in 22.2% of responses on average — roughly 0.7 distinct providers per answer. In practice the assistants behave far more as an explanatory layer than as a referral engine for powersports dealer website: visibility comes from being the reasoning a model reproduces, not from being the named recommendation.

The question set

What these 15 Powersports Dealer Website questions cover.

The 15 questions behind every percentage on this page were drawn from real powersports dealer website (automotive 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 powersports dealer website 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.

How to read this

A note on the numbers.

A percentage here is the share of a model's 15 answers in which the behavior appeared at least once — not a confidence score. Because each model answered every question exactly once on 2026-07-05, the figures describe this specific powersports dealer website 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.

15 standardized buyer questions per industry, one response per model per question (ChatGPT (gpt-5-mini), Claude (claude-sonnet-5), Gemini (gemini-3-flash-preview)), collected 2026-07-05, coded against a fixed 12-behavior rubric with human QA. AI outputs vary with model version, location and time — figures describe this sample and window, and are refreshed each edition. Read the full methodology →