AI SEO Statistics: Best SEO for Travel Nursing Company (2026-07 edition)
40 questions · 120/120 expected AI responses · 3 models · measured 2026-07-06
The question bank
The questions we tested — a frozen buyer-intent benchmark for best seo for travel nursing company.
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
14% 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 best seo for travel nursing company benchmark questions, 2026-07 edition. Last column: equal-model mean.
| Behavior | ChatGPT | Claude | Gemini | Equal-model mean |
|---|---|---|---|---|
| Recommends hiring a professional | 15% | 10% | 5% | 10% |
| Suggests DIY first | 47.5% | 20% | 22.5% | 30% |
| Names specific providers | 2.5% | 17.5% | 12.5% | 10.8% |
| Gives price or cost info | 5% | 7.5% | 2.5% | 5% |
| Tells to check reviews | 2.5% | 5% | 0% | 2.5% |
| Tells to verify credentials | 0% | 5% | 2.5% | 2.5% |
| Mentions case studies / portfolio | 10% | 15% | 2.5% | 9.2% |
| Mentions local proximity | 10% | 30% | 17.5% | 19.2% |
| Gives selection criteria | 5% | 10% | 10% | 8.3% |
| Warns about red flags | 2.5% | 7.5% | 10% | 6.7% |
| Asks a clarifying question | 17.5% | 62.5% | 0% | 26.7% |
| Recommends multiple quotes | 2.5% | 0% | 0% | 0.8% |
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 | 85% |
| Suggests DIY first | 62.5% |
| Names specific providers | 72.5% |
| Gives price or cost info | 90% |
| Tells to check reviews | 92.5% |
| Tells to verify credentials | 95% |
| Mentions case studies / portfolio | 77.5% |
| Mentions local proximity | 65% |
| Gives selection criteria | 87.5% |
| Warns about red flags | 87.5% |
| Asks a clarifying question | 35% |
| Recommends multiple quotes | 97.5% |
By model
How each assistant handled Best SEO for Travel Nursing Company questions.
Reading the 120 answers model by model shows how differently the three assistants treat the same best seo for travel nursing company questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 15% (ChatGPT) down to 5% (Gemini), a 10-point gap on an identical question set.
Across the 40 best seo for travel nursing company answers it produced, ChatGPT recommended hiring a professional in 15% of them and suggested a DIY approach first 47.5% of the time. It named a specific provider in 2.5% of answers (about 0 distinct providers per answer) and included price or cost information 5% of the time. ChatGPT asked a clarifying question before answering in 17.5% of cases, warned about red flags or scams in 2.5%, and told the buyer to verify credentials in 0%, averaging 757 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 10%, and framed the choice around local proximity in 10%; a selection-criteria checklist appeared in 5% of its answers and a recommendation to gather multiple quotes in 2.5%.
Across the 40 best seo for travel nursing company answers it produced, Claude recommended hiring a professional in 10% of them and suggested a DIY approach first 20% of the time. It named a specific provider in 17.5% of answers (about 0.4 distinct providers per answer) and included price or cost information 7.5% of the time. Claude asked a clarifying question before answering in 62.5% of cases, warned about red flags or scams in 7.5%, and told the buyer to verify credentials in 5%, averaging 332 words per answer. On the remaining cues it told the buyer to check reviews in 5%, pointed to case studies or a portfolio in 15%, and framed the choice around local proximity in 30%; a selection-criteria checklist appeared in 10% of its answers and a recommendation to gather multiple quotes in 0%.
Across the 40 best seo for travel nursing company answers it produced, Gemini recommended hiring a professional in 5% of them and suggested a DIY approach first 22.5% of the time. It named a specific provider in 12.5% of answers (about 0.4 distinct providers per answer) and included price or cost information 2.5% of the time. Gemini asked a clarifying question before answering in 0% of cases, warned about red flags or scams in 10%, and told the buyer to verify credentials in 2.5%, averaging 240 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 17.5%; a selection-criteria checklist appeared in 10% of its answers and a recommendation to gather multiple quotes in 0%.
Taken together, ChatGPT is the assistant most likely to route a best seo for travel nursing company buyer to a professional (15%) and Gemini the least (5%). ChatGPT produced the longest answers, at 757 words on average. Specific providers were named most often by Claude (17.5%) — even there, roughly one answer in 6 carried a name.
Where they disagree
The behaviors where the choice of model changes the answer.
Question-level model disagreement is 14% — 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 which assistant a best seo for travel nursing company buyer happens to ask matters most:
- Asks a clarifying question: from 0% (Gemini) to 62.5% (Claude) — a 63-point spread.
- Suggests a DIY approach first: from 20% (Claude) to 47.5% (ChatGPT) — a 28-point spread.
- Mentions local proximity: from 10% (ChatGPT) to 30% (Claude) — a 20-point spread.
- Names a specific provider: from 2.5% (ChatGPT) to 17.5% (Claude) — a 15-point spread.
- Mentions case studies or portfolio: from 2.5% (Gemini) to 15% (Claude) — a 13-point spread.
The widest single gap — asks a clarifying question, 63 points — means a best seo for travel nursing 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 best seo for travel nursing company market.
Where they agree
The points of near-consensus in Best SEO for Travel Nursing Company.
On other behaviors the three models move almost in lockstep — the points of near-consensus for best seo for travel nursing company, where all three landed within a few points of each other:
- Recommends multiple quotes: 0%–2.5% across all three (a 3-point spread).
- Gives price or cost information: 2.5%–7.5% across all three (a 5-point spread).
- Tells the buyer to check reviews: 0%–5% across all three (a 5-point spread).
- Tells the buyer to verify credentials: 0%–5% across all three (a 5-point spread).
Measured question by question, the three assistants coded a response the same way most consistently on "recommends multiple quotes" (identical coding in 97.5% of questions) and least consistently on "asks a clarifying question" (35%).
Every behavior, measured
All twelve coded behaviors for Best SEO for Travel Nursing Company, averaged across the three models.
The behaviors AI models reproduce most often for best seo for travel nursing company are suggests a DIY approach first (30% on average), asks a clarifying question (26.7%) and mentions local proximity (19.2%); the rarest are recommends multiple quotes (0.8%), tells the buyer to verify credentials (2.5%) and tells the buyer to check reviews (2.5%). 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:
- Suggests a DIY approach first: 30% on average (ChatGPT 47.5%, Claude 20%, Gemini 22.5%) — a 28-point spread.
- Asks a clarifying question: 26.7% on average (ChatGPT 17.5%, Claude 62.5%, Gemini 0%) — a 63-point spread.
- Mentions local proximity: 19.2% on average (ChatGPT 10%, Claude 30%, Gemini 17.5%) — a 20-point spread.
- Names a specific provider: 10.8% on average (ChatGPT 2.5%, Claude 17.5%, Gemini 12.5%) — a 15-point spread.
- Recommends hiring a professional: 10% on average (ChatGPT 15%, Claude 10%, Gemini 5%) — a 10-point spread.
- Mentions case studies or portfolio: 9.2% on average (ChatGPT 10%, Claude 15%, Gemini 2.5%) — a 13-point spread.
- Gives selection criteria: 8.3% on average (ChatGPT 5%, Claude 10%, Gemini 10%) — a 5-point spread.
- Warns about red flags or scams: 6.7% on average (ChatGPT 2.5%, Claude 7.5%, Gemini 10%) — a 8-point spread.
- Gives price or cost information: 5% on average (ChatGPT 5%, Claude 7.5%, Gemini 2.5%) — a 5-point spread.
- Tells the buyer to check reviews: 2.5% on average (ChatGPT 2.5%, Claude 5%, Gemini 0%) — a 5-point spread.
- Tells the buyer to verify credentials: 2.5% on average (ChatGPT 0%, Claude 5%, Gemini 2.5%) — a 5-point spread.
- Recommends multiple quotes: 0.8% on average (ChatGPT 2.5%, Claude 0%, Gemini 0%) — a 3-point spread.
Trust signals
How well the models protect the best seo for travel nursing company buyer.
Beyond whether to hire, the rubric codes how carefully each assistant protects the best seo for travel nursing company buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 2.5% of answers on average. Verifying credentials or certifications appeared in 2.5%. Warning about red flags or scams appeared in 6.7%.
On structuring the decision, a selection-criteria checklist showed up in 8.3% of answers on average and a recommendation to gather multiple quotes in 0.8%. The single least-reproduced protective signal for best seo for travel nursing company is "recommends multiple quotes" at 0.8% 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 Best SEO for Travel Nursing Company providers?
For service providers the decisive question is whether these systems name anyone at all. Across 120 best seo for travel nursing company answers, a specific provider was named in 10.8% of responses on average — roughly 0.3 distinct providers per answer. In practice the assistants behave far more as an explanatory layer than as a referral engine for best seo for travel nursing company: visibility comes from being the reasoning a model reproduces, not from being the named recommendation.
The question set
What these 40 Best SEO for Travel Nursing Company questions cover.
The 40 questions behind every percentage on this page form a frozen best seo for travel nursing company (healthcare 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 best seo for travel nursing 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 best seo for travel nursing 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 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: Best SEO for Travel Nursing Company (2026-07 edition).” AuthoritySpecialist.com. https://authorityspecialist.com/research/ai-seo-statistics/services/health/best-seo-for-travel-nursing-company