Original research · 2026-07 edition

AI SEO Statistics: Sample SEO for Home Inspection Company (2026-07 edition)

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

The question bank

The questions we tested — sampled from real buyer journeys in sample seo for home inspection company.

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

What exactly happens during a home inspection and how long should I plan to be there?
Is it worth getting a home inspection for a brand new construction or is the builder's warranty enough?
How much does a typical home inspection cost for a 3-bedroom house in a suburban area?
What are the most common red flags that show up in a home inspection report?
Can a home inspector check for mold and lead paint, or do I need a specialist for that?
What questions should I ask a home inspector before I decide to hire them?
If the home inspection report finds a lot of issues, can I use that to lower the asking price?
Is it a bad sign if a home inspector is recommended by my real estate agent?
Show all 40 questions
What's the difference between a general home inspection and a structural engineering report?
How do I know if a home inspector is actually licensed and insured in my state?
Should I walk away from a house if the inspection finds foundation cracks?
Do home inspectors check the appliances and the HVAC system or just the structure?
Can I do my own home inspection using a checklist from the internet to save money?
What are the deal-breakers in a home inspection that should make me reconsider buying?
How soon after an offer is accepted do I need to have the inspection completed?
Does a home inspection include looking for termites or do I need a separate pest control guy?
What should I do if the seller refuses to fix things found during the home inspection?
How many years of experience should a good home inspector have?
Can I ask a home inspector to come back and check repairs after the seller says they're done?
Is a sewer scope worth the extra $200 during a standard home inspection?
What happens if a home inspector misses something major like a roof leak?
Are there specific things I should look for in a home inspection report for an older house built in the 1920s?
Why is there such a big price difference between two local home inspection companies?
Do I need a radon test if the house doesn't have a basement?
Can a home inspector tell me how much it will cost to fix the problems they find?
What are the "must-have" tools a professional home inspector should be using?
Is it okay to follow the inspector around while they work or will I be in the way?
Should I get a thermal imaging scan during my home inspection?
What is excluded from a standard home inspection agreement?
How long does it usually take to get the final written report after the inspection is over?
If I'm buying a condo, do I need a full home inspection or just an interior one?
What certifications like ASHI or InterNACHI actually mean for a home buyer?
Can a home inspector give the house a "pass" or "fail" grade?
Are there any specific red flags I should look for in the inspector's own contract?
What if the home inspector finds something but says it’s "beyond the scope" of their work?
I'm buying a house with a pool, do regular home inspectors check the pump and heater?
How do I compare two different home inspection reports if they look totally different?
Is a drone inspection for the roof better than the inspector just climbing up a ladder?
What are the most expensive repairs that a home inspection might uncover?
If a house is being sold "as-is," is there any point in paying for a professional inspection?

Model by model

20-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 sample seo for home inspection company buyers.

Behavior rates across 40 sample seo for home inspection company buyer questions, 2026-07 edition. Last column: average across models.
ChatGPTClaudeGeminiConsensus
Recommends hiring a professional88%80%48%58%
Suggests DIY first13%5%3%90%
Names specific providers0%0%0%100%
Gives price or cost info28%35%43%60%
Tells to check reviews8%15%3%83%
Tells to verify credentials45%35%23%50%
Mentions case studies / portfolio5%8%0%93%
Mentions local proximity18%15%5%78%
Gives selection criteria40%30%13%63%
Warns about red flags13%15%15%73%
Asks a clarifying question53%50%0%28%
Recommends multiple quotes20%13%0%75%

By model

How each assistant handled Sample SEO for Home Inspection Company questions.

Reading the 120 answers model by model shows how differently the three assistants treat the same sample seo for home inspection company questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 87.5% (ChatGPT) down to 47.5% (Gemini), a 40-point gap on an identical question set.

Across the 40 sample seo for home inspection company answers it produced, ChatGPT recommended hiring a professional in 87.5% of them and suggested a DIY approach first 12.5% of the time. It named a specific provider in 0% of answers (about 0 distinct providers per answer) and included price or cost information 27.5% of the time. ChatGPT asked a clarifying question before answering in 52.5% of cases, warned about red flags or scams in 12.5%, and told the buyer to verify credentials in 45%, averaging 475 words per answer. On the remaining cues it told the buyer to check reviews in 7.5%, pointed to case studies or a portfolio in 5%, and framed the choice around local proximity in 17.5%; a selection-criteria checklist appeared in 40% of its answers and a recommendation to gather multiple quotes in 20%.

Across the 40 sample seo for home inspection company answers it produced, Claude recommended hiring a professional in 80% of them and suggested a DIY approach first 5% of the time. It named a specific provider in 0% of answers (about 0 distinct providers per answer) and included price or cost information 35% of the time. Claude asked a clarifying question before answering in 50% of cases, warned about red flags or scams in 15%, and told the buyer to verify credentials in 35%, averaging 283 words per answer. On the remaining cues it told the buyer to check reviews in 15%, pointed to case studies or a portfolio in 7.5%, 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 12.5%.

Across the 40 sample seo for home inspection company answers it produced, Gemini recommended hiring a professional in 47.5% of them and suggested a DIY approach first 2.5% of the time. It named a specific provider in 0% of answers (about 0 distinct providers per answer) and included price or cost information 42.5% of the time. Gemini asked a clarifying question before answering in 0% of cases, warned about red flags or scams in 15%, and told the buyer to verify credentials in 22.5%, averaging 281 words per answer. On the remaining cues it told the buyer to check reviews in 2.5%, pointed to case studies or a portfolio in 0%, and framed the choice around local proximity in 5%; a selection-criteria checklist appeared in 12.5% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, ChatGPT is the assistant most likely to route a sample seo for home inspection company buyer to a professional (87.5%) and Gemini the least (47.5%). ChatGPT produced the longest answers, at 475 words on average. No model named a specific provider in more than 0% of answers.

Where they disagree

The behaviors where the choice of model changes the answer.

The divergence index for this study is 19.6 points — the average distance between the most and least likely model across the coded behaviors. The gaps below are where which assistant a sample seo for home inspection company buyer happens to ask matters most:

  • Asks a clarifying question: from 0% (Gemini) to 52.5% (ChatGPT) — a 53-point spread.
  • Recommends hiring a professional: from 47.5% (Gemini) to 87.5% (ChatGPT) — a 40-point spread.
  • Gives selection criteria: from 12.5% (Gemini) to 40% (ChatGPT) — a 28-point spread.
  • Tells the buyer to verify credentials: from 22.5% (Gemini) to 45% (ChatGPT) — a 23-point spread.
  • Recommends multiple quotes: from 0% (Gemini) to 20% (ChatGPT) — a 20-point spread.

The widest single gap — asks a clarifying question, 53 points — means a sample seo for home inspection company 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 sample seo for home inspection company market.

Where they agree

The points of near-consensus in Sample SEO for Home Inspection Company.

On other behaviors the three models move almost in lockstep — the points of near-consensus for sample seo for home inspection company, where all three landed within a few points of each other:

  • Names a specific provider: 0% across all three models.
  • Warns about red flags or scams: 12.5%–15% across all three (a 3-point spread).
  • Mentions case studies or portfolio: 0%–7.5% across all three (a 8-point spread).
  • Suggests a DIY approach first: 2.5%–12.5% across all three (a 10-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 100% of questions) and least consistently on "asks a clarifying question" (27.5%).

Every behavior, measured

All twelve coded behaviors for Sample SEO for Home Inspection Company, averaged across the three models.

The behaviors AI models reproduce most often for sample seo for home inspection company are recommends hiring a professional (71.7% on average), gives price or cost information (35%) and tells the buyer to verify credentials (34.2%); the rarest are names a specific provider (0%), mentions case studies or portfolio (4.2%) and suggests a DIY approach first (6.7%). 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: 71.7% on average (ChatGPT 87.5%, Claude 80%, Gemini 47.5%) — a 40-point spread.
  • Gives price or cost information: 35% on average (ChatGPT 27.5%, Claude 35%, Gemini 42.5%) — a 15-point spread.
  • Tells the buyer to verify credentials: 34.2% on average (ChatGPT 45%, Claude 35%, Gemini 22.5%) — a 23-point spread.
  • Asks a clarifying question: 34.2% on average (ChatGPT 52.5%, Claude 50%, Gemini 0%) — a 53-point spread.
  • Gives selection criteria: 27.5% on average (ChatGPT 40%, Claude 30%, Gemini 12.5%) — a 28-point spread.
  • Warns about red flags or scams: 14.2% on average (ChatGPT 12.5%, Claude 15%, Gemini 15%) — a 3-point spread.
  • Mentions local proximity: 12.5% on average (ChatGPT 17.5%, Claude 15%, Gemini 5%) — a 13-point spread.
  • Recommends multiple quotes: 10.8% on average (ChatGPT 20%, Claude 12.5%, Gemini 0%) — a 20-point spread.
  • Tells the buyer to check reviews: 8.3% on average (ChatGPT 7.5%, Claude 15%, Gemini 2.5%) — a 13-point spread.
  • Suggests a DIY approach first: 6.7% on average (ChatGPT 12.5%, Claude 5%, Gemini 2.5%) — a 10-point spread.
  • Mentions case studies or portfolio: 4.2% on average (ChatGPT 5%, Claude 7.5%, Gemini 0%) — a 8-point spread.
  • Names a specific provider: 0% on average (ChatGPT 0%, Claude 0%, Gemini 0%).

Trust signals

How well the models protect the sample seo for home inspection company buyer.

Beyond whether to hire, the rubric codes how carefully each assistant protects the sample seo for home inspection company buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 8.3% of answers on average. Verifying credentials or certifications appeared in 34.2%. Warning about red flags or scams appeared in 14.2%.

On structuring the decision, a selection-criteria checklist showed up in 27.5% of answers on average and a recommendation to gather multiple quotes in 10.8%. The single least-reproduced protective signal for sample seo for home inspection company is "tells the buyer to check reviews" at 8.3% 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 Sample SEO for Home Inspection Company providers?

For service providers the decisive question is whether these systems name anyone at all. Across 120 sample seo for home inspection company answers, a specific provider was named in 0% of responses on average — roughly 0 distinct providers per answer. In practice the assistants behave far more as an explanatory layer than as a referral engine for sample seo for home inspection company: visibility comes from being the reasoning a model reproduces, not from being the named recommendation.

The question set

What these 40 Sample SEO for Home Inspection Company questions cover.

The 40 questions behind every percentage on this page were drawn from real sample seo for home inspection company (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 sample seo for home inspection company 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 sample seo for home inspection company 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 →