Original research · 2026-07 edition

AI SEO Statistics: Online Marketing SEO for Pain Management (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 online marketing seo for pain management.

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

Why is my pain clinic not showing up on page 1 for sciatica treatment searches?
Is it worth hiring a specialized healthcare SEO agency for my regenerative medicine practice?
How much should a small pain management clinic spend on SEO per month to see results?
What are the most important keywords for a clinic specializing in chronic back pain?
Can I handle my own Google Business Profile for a pain clinic or should I outsource it?
How long does it typically take to see an increase in new patient leads from organic search?
What are the red flags when interviewing a digital marketing agency for a medical practice?
How do I know if a marketing agency understands HIPAA compliance for patient lead generation?
Show all 40 questions
Should I focus on Google Ads or SEO if I need to fill my pain clinic schedule by next month?
What kind of content should a pain management website have to rank for nerve block procedures?
How do I compete with large hospital systems in my city for local pain management searches?
Is it better to hire a local freelancer or a national agency that specializes in interventional pain?
What specific metrics should I ask for in a monthly report from my SEO provider?
How do I get more patient reviews for my pain clinic without violating medical ethics?
Why did my clinic's rankings drop after the latest Google core update?
Do I need a separate landing page for every type of pain treatment we offer like epidurals and radiofrequency ablation?
How can I rank for pain management near me if my office is in a suburb of a major city?
What is the average cost per lead for chronic pain patients through organic search vs paid ads?
Should my blog focus on specific conditions like fibromyalgia or just general wellness tips?
How do I vet a marketing company that claims they can get me on page one for stem cell therapy?
Is video marketing or blogging more effective for ranking a pain management site in 2024?
What are the most common technical SEO mistakes pain doctors make on their websites?
How important are backlinks from medical journals or health sites for my clinic's search rankings?
I have a $2,000 monthly marketing budget; is that enough for a comprehensive SEO strategy?
How do I optimize my site for voice searches like where is the best back doctor nearby?
What’s the difference between general business SEO and medical SEO for a specialist?
How can I track if a new patient phone call came from my SEO efforts or a word-of-mouth referral?
Should I use a medical-specific platform or is a standard WordPress site okay for a pain clinic?
How do I handle negative patient reviews so they don't hurt my local search visibility?
What questions should I ask a marketing agency about their experience with E-E-A-T in the healthcare niche?
Can an SEO agency help me optimize my profiles on third-party sites like Healthgrades and Vitals?
Is it a bad idea to hire a generalist marketing agency for a highly technical medical specialty?
How do I outrank the best of lists that dominate the top search results for doctors in my area?
What is the typical ROI of SEO compared to traditional radio or billboard ads for a pain practice?
Does my medical website need to be ADA compliant to rank better in Google search results?
How often should a pain management clinic update their website content to stay relevant to search engines?
What are the most profitable procedures to target with SEO for an interventional pain practice?
How do I audit my current SEO agency to see if they are actually delivering on their promises?
My competitors have hundreds of backlinks; how can a new pain clinic catch up without being spammy?
Is it possible to rank for opioid alternative treatments without getting flagged or shadowbanned by search platforms?

Model by model

17-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 online marketing seo for pain management buyers.

Behavior rates across 40 online marketing seo for pain management buyer questions, 2026-07 edition. Last column: average across models.
ChatGPTClaudeGeminiConsensus
Recommends hiring a professional33%25%15%70%
Suggests DIY first38%23%18%58%
Names specific providers3%13%13%85%
Gives price or cost info18%15%15%83%
Tells to check reviews3%3%0%98%
Tells to verify credentials10%10%5%85%
Mentions case studies / portfolio13%15%0%80%
Mentions local proximity33%35%35%58%
Gives selection criteria13%23%13%75%
Warns about red flags15%23%10%68%
Asks a clarifying question38%45%0%38%
Recommends multiple quotes0%0%0%100%

By model

How each assistant handled Online Marketing SEO for Pain Management questions.

Reading the 120 answers model by model shows how differently the three assistants treat the same online marketing seo for pain management questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 32.5% (ChatGPT) down to 15% (Gemini), a 18-point gap on an identical question set.

Across the 40 online marketing seo for pain management answers it produced, ChatGPT recommended hiring a professional in 32.5% of them and suggested a DIY approach first 37.5% 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 17.5% of the time. ChatGPT asked a clarifying question before answering in 37.5% of cases, warned about red flags or scams in 15%, and told the buyer to verify credentials in 10%, averaging 691 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 12.5%, and framed the choice around local proximity in 32.5%; a selection-criteria checklist appeared in 12.5% of its answers and a recommendation to gather multiple quotes in 0%.

Across the 40 online marketing seo for pain management answers it produced, Claude recommended hiring a professional in 25% of them and suggested a DIY approach first 22.5% of the time. It named a specific provider in 12.5% of answers (about 0.6 distinct providers per answer) and included price or cost information 15% of the time. Claude asked a clarifying question before answering in 45% of cases, warned about red flags or scams in 22.5%, and told the buyer to verify credentials in 10%, averaging 332 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 15%, and framed the choice around local proximity in 35%; a selection-criteria checklist appeared in 22.5% of its answers and a recommendation to gather multiple quotes in 0%.

Across the 40 online marketing seo for pain management answers it produced, Gemini recommended hiring a professional in 15% of them and suggested a DIY approach first 17.5% 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 15% 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 5%, averaging 232 words per answer. On the remaining cues it told the buyer to check reviews in 0%, pointed to case studies or a portfolio in 0%, and framed the choice around local proximity in 35%; 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 an online marketing seo for pain management buyer to a professional (32.5%) and Gemini the least (15%). ChatGPT produced the longest answers, at 691 words on average. Specific providers were named most often by Claude (12.5%) — even there, roughly one answer in 8 carried a name.

Where they disagree

The behaviors where the choice of model changes the answer.

The divergence index for this study is 16.9 points — the average distance between the most and least likely model across the coded behaviors. The gaps below are where which assistant an online marketing seo for pain management buyer happens to ask matters most:

  • Asks a clarifying question: from 0% (Gemini) to 45% (Claude) — a 45-point spread.
  • Suggests a DIY approach first: from 17.5% (Gemini) to 37.5% (ChatGPT) — a 20-point spread.
  • Recommends hiring a professional: from 15% (Gemini) to 32.5% (ChatGPT) — a 18-point spread.
  • Mentions case studies or portfolio: from 0% (Gemini) to 15% (Claude) — a 15-point spread.
  • Warns about red flags or scams: from 10% (Gemini) to 22.5% (Claude) — a 13-point spread.

The widest single gap — asks a clarifying question, 45 points — means an online marketing seo for pain management 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 online marketing seo for pain management market.

Where they agree

The points of near-consensus in Online Marketing SEO for Pain Management.

On other behaviors the three models move almost in lockstep — the points of near-consensus for online marketing seo for pain management, where all three landed within a few points of each other:

  • Recommends multiple quotes: 0% across all three models.
  • Gives price or cost information: 15%–17.5% across all three (a 3-point spread).
  • Tells the buyer to check reviews: 0%–2.5% across all three (a 3-point spread).
  • Mentions local proximity: 32.5%–35% across all three (a 3-point spread).

Measured question by question, the three assistants coded a response the same way most consistently on "recommends multiple quotes" (identical coding in 100% of questions) and least consistently on "asks a clarifying question" (37.5%).

Every behavior, measured

All twelve coded behaviors for Online Marketing SEO for Pain Management, averaged across the three models.

The behaviors AI models reproduce most often for online marketing seo for pain management are mentions local proximity (34.2% on average), asks a clarifying question (27.5%) and suggests a DIY approach first (25.8%); the rarest are recommends multiple quotes (0%), tells the buyer to check reviews (1.7%) and tells the buyer to verify credentials (8.3%). 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:

  • Mentions local proximity: 34.2% on average (ChatGPT 32.5%, Claude 35%, Gemini 35%) — a 3-point spread.
  • Asks a clarifying question: 27.5% on average (ChatGPT 37.5%, Claude 45%, Gemini 0%) — a 45-point spread.
  • Suggests a DIY approach first: 25.8% on average (ChatGPT 37.5%, Claude 22.5%, Gemini 17.5%) — a 20-point spread.
  • Recommends hiring a professional: 24.2% on average (ChatGPT 32.5%, Claude 25%, Gemini 15%) — a 18-point spread.
  • Gives price or cost information: 15.8% on average (ChatGPT 17.5%, Claude 15%, Gemini 15%) — a 3-point spread.
  • Gives selection criteria: 15.8% on average (ChatGPT 12.5%, Claude 22.5%, Gemini 12.5%) — a 10-point spread.
  • Warns about red flags or scams: 15.8% on average (ChatGPT 15%, Claude 22.5%, Gemini 10%) — a 13-point spread.
  • Names a specific provider: 9.2% on average (ChatGPT 2.5%, Claude 12.5%, Gemini 12.5%) — a 10-point spread.
  • Mentions case studies or portfolio: 9.2% on average (ChatGPT 12.5%, Claude 15%, Gemini 0%) — a 15-point spread.
  • Tells the buyer to verify credentials: 8.3% on average (ChatGPT 10%, Claude 10%, Gemini 5%) — a 5-point spread.
  • Tells the buyer to check reviews: 1.7% on average (ChatGPT 2.5%, Claude 2.5%, Gemini 0%) — a 3-point spread.
  • Recommends multiple quotes: 0% on average (ChatGPT 0%, Claude 0%, Gemini 0%).

Trust signals

How well the models protect the online marketing seo for pain management buyer.

Beyond whether to hire, the rubric codes how carefully each assistant protects the online marketing seo for pain management buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 1.7% of answers on average. Verifying credentials or certifications appeared in 8.3%. Warning about red flags or scams appeared in 15.8%.

On structuring the decision, a selection-criteria checklist showed up in 15.8% of answers on average and a recommendation to gather multiple quotes in 0%. The single least-reproduced protective signal for online marketing seo for pain management is "recommends multiple quotes" at 0% 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 Online Marketing SEO for Pain Management providers?

For service providers the decisive question is whether these systems name anyone at all. Across 120 online marketing seo for pain management answers, a specific provider was named in 9.2% 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 online marketing seo for pain management: visibility comes from being the reasoning a model reproduces, not from being the named recommendation.

The question set

What these 40 Online Marketing SEO for Pain Management questions cover.

The 40 questions behind every percentage on this page were drawn from real online marketing seo for pain management (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 online marketing seo for pain management 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 online marketing seo for pain management 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 →