Original research · 2026-07 edition

AI SEO Statistics: Outdoor Industry (2026-07 edition)

40 questions · 120 AI responses · 3 models · measured 2026-07-06

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The question bank

The questions we tested — sampled from real buyer journeys in outdoor industry.

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

What's the difference between hiring a landscape architect versus a landscape designer for a sloped backyard?
Is it worth the money to hire a professional guide for a multi-day backpacking trip if I've hiked before?
How much should I expect to pay for a custom outdoor kitchen with a gas line and stone finish?
What are the red flags I should look for when interviewing a pool construction company?
Do I need to pull my own permits for a new deck or is the contractor supposed to handle that?
How do I know if a large tree on my property is a safety hazard or if it just needs basic pruning?
What specific insurance coverage should a professional arborist have to protect my home during a removal?
Is it actually cheaper to buy my own plants and just hire a landscaper for the labor?
Show all 40 questions
What are the benefits of hiring a land management consultant for a 10-acre rural property?
How do I vet a fly fishing guide for a group that includes both experts and total beginners?
What is the average lead time for a high-end hardscaping project during the peak spring season?
Should I hire a dedicated outdoor lighting specialist or just let my general landscaper install the lights?
My retaining wall is starting to lean slightly; is this an emergency or can I wait until next season to fix it?
How do I compare quotes from three different deck builders when their material lists are totally different?
What specific questions should I ask an outfitter before booking a remote backcountry hunting trip?
Can a landscape designer help me create a drought-tolerant yard that still looks lush and green?
What is the typical deposit percentage for an outdoor renovation project over fifty thousand dollars?
Is it better to hire a local independent tree service or a large national franchise for storm cleanup?
How do I find a contractor who specializes in natural fieldstone rather than pre-cast concrete pavers?
What certifications should I look for when hiring a professional trail builder for private mountain bike paths?
Can I hire a pro to just create a master design plan for my yard so I can do the manual labor myself?
What are the hidden costs of installing an inground saltwater pool that contractors don't usually mention?
How do I verify a mountaineering guide's safety record and emergency medical certifications?
Why is there such a massive price gap between different synthetic turf installation companies?
What's the best way to screen a contractor for a complex rooftop garden project in a city?
Do I need to hire an environmental consultant before clearing brush near a protected wetland or creek?
How much does a professional mosquito and tick control service cost for a full summer season?
Is it possible to find a landscaping company that uses only organic fertilizers and pet-safe products?
What specific clauses should be included in a contract for a major outdoor masonry and patio project?
How do I handle a dispute with a landscaper if the expensive trees they planted died within three months?
Are there professionals who specialize in designing outdoor workspaces with weather-proof Wi-Fi and power?
What's the long-term value difference between a basic pressure-treated deck and a professional composite one?
How often should a professional come out to maintain a high-end koi pond or custom water feature?
What are the warning signs that a deck builder is cutting corners on the structural foundation?
How do I find a specialized contractor capable of building a safe staircase on a very steep hillside?
Is it standard practice to pay a consultation fee for an initial visit from an outdoor lighting designer?
What kind of survival and first aid gear is an outfitter required to carry on a guided wilderness tour?
How do I choose between a general home contractor and a specialized patio builder for a screened-in porch?
What's the most cost-effective way to improve my home's curb appeal using professional landscaping services?
Can a professional landscaper help me navigate local zoning laws regarding fence height and placement?

Model by model

26-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 outdoor industry buyers.

Behavior rates across 40 outdoor industry buyer questions, 2026-07 edition. Last column: average across models.
ChatGPTClaudeGeminiConsensus
Recommends hiring a professional95%75%65%63%
Suggests DIY first10%10%3%88%
Names specific providers0%5%10%85%
Gives price or cost info30%23%25%75%
Tells to check reviews23%23%0%65%
Tells to verify credentials40%45%20%53%
Mentions case studies / portfolio35%20%3%58%
Mentions local proximity45%43%15%53%
Gives selection criteria53%50%48%40%
Warns about red flags25%30%20%65%
Asks a clarifying question53%58%0%28%
Recommends multiple quotes30%18%0%65%

By model

How each assistant handled Outdoor Industry questions.

Reading the 120 answers model by model shows how differently the three assistants treat the same outdoor industry questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 95% (ChatGPT) down to 65% (Gemini), a 30-point gap on an identical question set.

Across the 40 outdoor industry answers it produced, ChatGPT recommended hiring a professional in 95% of them and suggested a DIY approach first 10% of the time. It named a specific provider in 0% of answers (about 0 distinct providers per answer) and included price or cost information 30% of the time. ChatGPT asked a clarifying question before answering in 52.5% of cases, warned about red flags or scams in 25%, and told the buyer to verify credentials in 40%, averaging 618 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 35%, and framed the choice around local proximity in 45%; a selection-criteria checklist appeared in 52.5% of its answers and a recommendation to gather multiple quotes in 30%.

Across the 40 outdoor industry answers it produced, Claude recommended hiring a professional in 75% of them and suggested a DIY approach first 10% of the time. It named a specific provider in 5% of answers (about 0.2 distinct providers per answer) and included price or cost information 22.5% of the time. Claude asked a clarifying question before answering in 57.5% of cases, warned about red flags or scams in 30%, and told the buyer to verify credentials in 45%, averaging 311 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 20%, and framed the choice around local proximity in 42.5%; a selection-criteria checklist appeared in 50% of its answers and a recommendation to gather multiple quotes in 17.5%.

Across the 40 outdoor industry answers it produced, Gemini recommended hiring a professional in 65% of them and suggested a DIY approach first 2.5% 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 25% of the time. Gemini asked a clarifying question before answering in 0% of cases, warned about red flags or scams in 20%, and told the buyer to verify credentials in 20%, averaging 251 words per answer. On the remaining cues it told the buyer to check reviews in 0%, pointed to case studies or a portfolio in 2.5%, and framed the choice around local proximity in 15%; a selection-criteria checklist appeared in 47.5% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, ChatGPT is the assistant most likely to route an outdoor industry buyer to a professional (95%) and Gemini the least (65%). ChatGPT produced the longest answers, at 618 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.

The divergence index for this study is 25.8 points — the average distance between the most and least likely model across the coded behaviors. The gaps below are where which assistant an outdoor industry buyer happens to ask matters most:

  • Asks a clarifying question: from 0% (Gemini) to 57.5% (Claude) — a 58-point spread.
  • Mentions case studies or portfolio: from 2.5% (Gemini) to 35% (ChatGPT) — a 33-point spread.
  • Recommends hiring a professional: from 65% (Gemini) to 95% (ChatGPT) — a 30-point spread.
  • Mentions local proximity: from 15% (Gemini) to 45% (ChatGPT) — a 30-point spread.
  • Recommends multiple quotes: from 0% (Gemini) to 30% (ChatGPT) — a 30-point spread.

The widest single gap — asks a clarifying question, 58 points — means an outdoor industry 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 outdoor industry market.

Where they agree

The points of near-consensus in Outdoor Industry.

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

  • Gives selection criteria: 47.5%–52.5% across all three (a 5-point spread).
  • Suggests a DIY approach first: 2.5%–10% across all three (a 8-point spread).
  • Gives price or cost information: 22.5%–30% across all three (a 8-point spread).
  • Names a specific provider: 0%–10% across all three (a 10-point spread).

Measured question by question, the three assistants coded a response the same way most consistently on "suggests a DIY approach first" (identical coding in 87.5% of questions) and least consistently on "asks a clarifying question" (27.5%).

Every behavior, measured

All twelve coded behaviors for Outdoor Industry, averaged across the three models.

The behaviors AI models reproduce most often for outdoor industry are recommends hiring a professional (78.3% on average), gives selection criteria (50%) and asks a clarifying question (36.7%); the rarest are names a specific provider (5%), suggests a DIY approach first (7.5%) and tells the buyer to check reviews (15%). 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: 78.3% on average (ChatGPT 95%, Claude 75%, Gemini 65%) — a 30-point spread.
  • Gives selection criteria: 50% on average (ChatGPT 52.5%, Claude 50%, Gemini 47.5%) — a 5-point spread.
  • Asks a clarifying question: 36.7% on average (ChatGPT 52.5%, Claude 57.5%, Gemini 0%) — a 58-point spread.
  • Tells the buyer to verify credentials: 35% on average (ChatGPT 40%, Claude 45%, Gemini 20%) — a 25-point spread.
  • Mentions local proximity: 34.2% on average (ChatGPT 45%, Claude 42.5%, Gemini 15%) — a 30-point spread.
  • Gives price or cost information: 25.8% on average (ChatGPT 30%, Claude 22.5%, Gemini 25%) — a 8-point spread.
  • Warns about red flags or scams: 25% on average (ChatGPT 25%, Claude 30%, Gemini 20%) — a 10-point spread.
  • Mentions case studies or portfolio: 19.2% on average (ChatGPT 35%, Claude 20%, Gemini 2.5%) — a 33-point spread.
  • Recommends multiple quotes: 15.8% on average (ChatGPT 30%, Claude 17.5%, Gemini 0%) — a 30-point spread.
  • Tells the buyer to check reviews: 15% on average (ChatGPT 22.5%, Claude 22.5%, Gemini 0%) — a 23-point spread.
  • Suggests a DIY approach first: 7.5% on average (ChatGPT 10%, Claude 10%, Gemini 2.5%) — a 8-point spread.
  • Names a specific provider: 5% on average (ChatGPT 0%, Claude 5%, Gemini 10%) — a 10-point spread.

Trust signals

How well the models protect the outdoor industry buyer.

Beyond whether to hire, the rubric codes how carefully each assistant protects the outdoor industry buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 15% of answers on average. Verifying credentials or certifications appeared in 35%. Warning about red flags or scams appeared in 25%.

On structuring the decision, a selection-criteria checklist showed up in 50% of answers on average and a recommendation to gather multiple quotes in 15.8%. The single least-reproduced protective signal for outdoor industry is "tells the buyer to check reviews" at 15% 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 Outdoor Industry providers?

For service providers the decisive question is whether these systems name anyone at all. Across 120 outdoor industry answers, a specific provider was named in 5% of responses on average — roughly 0.1 distinct providers per answer. In practice the assistants behave far more as an explanatory layer than as a referral engine for outdoor industry: visibility comes from being the reasoning a model reproduces, not from being the named recommendation.

The question set

What these 40 Outdoor Industry questions cover.

The 40 questions behind every percentage on this page were drawn from real outdoor industry (professional 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 outdoor industry 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 40 answers in which the behavior appeared at least once — not a confidence score. Because each model answered every question exactly once on 2026-07-06, the figures describe this specific outdoor industry 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 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 2026-07-06, 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 →