Original research · 2026-07 edition

AI SEO Statistics: Best SEO for Travel Nursing 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 best seo for travel nursing company.

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

How can a small travel nursing agency outrank the huge national staffing firms in search results?
What are the most important keywords for attracting travel nurses right now?
Does SEO for healthcare recruitment focus more on the nurses or the hospital clients?
Is it worth hiring an SEO agency specifically for travel nursing or is a general agency fine?
How long does it take to see more nurse applications from organic search after starting SEO?
What’s a realistic monthly budget for SEO if I want to grow my travel nurse headcount by 20%?
How do I optimize my job board for Google for Jobs to get more visibility?
Why is my travel nursing site getting traffic but no one is filling out the application form?
Show all 40 questions
What are the red flags when interviewing an SEO company for a healthcare staffing business?
Can SEO help me find specialized nurses like ICU or PICU for travel assignments specifically?
Should I focus on local SEO or national SEO for a travel nursing brand that operates in five states?
How do I create a content strategy that actually appeals to millennial travel nurses and ranks well?
Is backlink building different for the healthcare staffing industry compared to other B2B sectors?
What are the best ways to track ROI on an SEO campaign for a recruitment agency?
My travel nursing website is slow on mobile; how much is that hurting my search rankings?
Do I need to have a blog on my travel nursing site to rank for high-volume keywords?
How do I compete with job aggregators in the search results for nursing contracts?
What is E-E-A-T and why does it matter for a nursing recruitment website's authority?
Can I handle my own SEO using basic tools or is it too complex for a recruiting manager?
What specific technical SEO issues do travel nursing job boards usually struggle with?
How can I use SEO to reduce my overall cost per hire for travel nurses?
Should I target keywords like highest paying travel nurse jobs or focus on specific city-based terms?
What questions should I ask a potential SEO partner about their experience in the medical niche?
How does mobile optimization affect travel nurses searching for jobs while on shift?
Is it better to pay for Google Ads or invest in long-term SEO for nurse recruitment lead gen?
What’s the difference between SEO for a new travel nursing startup vs. an established agency?
How can I rank for specific state-based keywords like travel nursing jobs in California?
Does having a high volume of expired job listings on my site hurt my SEO?
How do I clean up bad backlinks that might be penalizing my staffing website's growth?
How often should I update the content on my travel nursing landing pages to stay relevant?
Can SEO help build my brand authority so nurses trust my agency over competitors?
What are the most common mistakes travel nursing companies make with their digital marketing?
If I hire an SEO expert, how much of my internal team's time will they need each month?
How do I optimize my About Us page to rank for people looking for reputable travel agencies?
Is it possible to rank for best travel nursing agency or is that keyword too competitive for a mid-market firm?
How do I use internal linking to keep nurses browsing my job site for longer periods?
What kind of schema markup is necessary for healthcare recruitment and job posting websites?
Will SEO help me attract more permanent placement candidates or is it strictly for travelers?
How do I measure the quality of the traffic coming from search engines to my agency site?
What are the latest SEO trends specifically for the healthcare staffing sector this year?

Model by model

14-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 best seo for travel nursing company buyers.

Behavior rates across 40 best seo for travel nursing company buyer questions, 2026-07 edition. Last column: average across models.
ChatGPTClaudeGeminiConsensus
Recommends hiring a professional15%10%5%85%
Suggests DIY first48%20%23%63%
Names specific providers3%18%13%73%
Gives price or cost info5%8%3%90%
Tells to check reviews3%5%0%93%
Tells to verify credentials0%5%3%95%
Mentions case studies / portfolio10%15%3%78%
Mentions local proximity10%30%18%65%
Gives selection criteria5%10%10%88%
Warns about red flags3%8%10%88%
Asks a clarifying question18%63%0%35%
Recommends multiple quotes3%0%0%98%

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.

The divergence index for this study is 14 points — the average distance between the most and least likely model across the coded behaviors. The gaps below are 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 were drawn from real best seo for travel nursing company (healthcare 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 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 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 →