Original research · 2026-07 edition

AI SEO Statistics: Medtech Ppc and SEO Services Providers (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 medtech ppc and seo services providers.

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

What is the average cost per click for medical device keywords in 2024?
How do I know if a marketing agency actually understands HIPAA compliance for lead forms?
Should I hire a general SEO firm or one that specializes strictly in medtech?
How long does it typically take to see a ROI on organic search for a new class II medical device?
What are the biggest red flags when interviewing a PPC agency for a diagnostic startup?
Is it better to run LinkedIn ads or Google Ads for B2B medical equipment sales?
How can we optimize our website for surgeon-specific search terms without triggering FDA labeling issues?
What kind of monthly budget do I need to compete in the remote patient monitoring space?
Show all 40 questions
Can an agency help us navigate Google's restrictive policies on healthcare and prescription services?
What metrics should I ask for in a monthly report from a medtech SEO provider?
We have a product launch in 3 months; is SEO even worth it or should we go 100% into PPC?
Do medtech marketing agencies usually charge a flat fee or a percentage of ad spend?
How do I verify if an agency has actual experience with clinical trial recruitment ads?
What are the common mistakes medtech companies make when setting up their first Google Ads campaign?
Is it possible to rank for high-intent medical terms without a massive backlink profile?
How does a specialized medtech agency handle technical content writing for complex biotech products?
Are there specific SEO strategies for reaching hospital procurement officers vs. end-user physicians?
What should be included in a discovery phase with a healthcare-focused digital marketing partner?
How do we track conversions if our sales cycle happens offline through distributors?
What is the difference between healthcare marketing and medtech marketing when looking for a vendor?
Can an SEO agency help improve our rankings on Google Scholar as well as standard search?
How do I transition from an in-house marketing team to an external medtech agency?
What are the risks of using automated bidding for high-stakes medical device keywords?
How do I audit my current agency's performance if I suspect our medtech leads are low quality?
What's a realistic timeline to get to the first page of Google for orthopedic surgical robots?
Do I need a separate agency for international SEO if we are expanding our medical device sales to Europe?
How do agencies handle Your Money or Your Life content requirements for medical sites?
Can I find a PPC expert who specifically knows how to market to lab directors and pathologists?
What questions should I ask during a reference call for a medtech SEO company?
Is it worth paying a premium for a marketing agency that has former clinicians on staff?
How do we handle negative SEO or brand attacks in the competitive medical device sector?
What is a reasonable conversion rate for a B2B medtech landing page?
Should our SEO strategy focus more on patient education or professional-facing technical specs?
How do we ensure our PPC landing pages don't violate any restricted medical content rules?
What is the typical contract length for a medtech SEO engagement?
Can a marketing agency help us with our local SEO if we have multiple regional distribution centers?
How do I compare the technical expertise of two different medtech marketing firms?
We are a startup with a $5,000 monthly budget; is that enough for a specialized medtech agency?
What's the process for an agency to learn our specific niche in cardiovascular technology?
How do I know if our current SEO agency is just using generic AI content for our medical blog?

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 medtech ppc and seo services providers buyers.

Behavior rates across 40 medtech ppc and seo services providers buyer questions, 2026-07 edition. Last column: average across models.
ChatGPTClaudeGeminiConsensus
Recommends hiring a professional50%38%28%70%
Suggests DIY first23%8%3%80%
Names specific providers0%5%8%88%
Gives price or cost info8%8%13%93%
Tells to check reviews3%5%0%93%
Tells to verify credentials13%20%10%68%
Mentions case studies / portfolio18%23%8%65%
Mentions local proximity3%10%5%85%
Gives selection criteria23%33%35%58%
Warns about red flags15%20%10%70%
Asks a clarifying question28%55%0%33%
Recommends multiple quotes0%0%0%100%

By model

How each assistant handled Medtech Ppc and SEO Services Providers questions.

Reading the 120 answers model by model shows how differently the three assistants treat the same medtech ppc and seo services providers questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 50% (ChatGPT) down to 27.5% (Gemini), a 23-point gap on an identical question set.

Across the 40 medtech ppc and seo services providers answers it produced, ChatGPT recommended hiring a professional in 50% of them and suggested a DIY approach first 22.5% of the time. It named a specific provider in 0% of answers (about 0 distinct providers per answer) and included price or cost information 7.5% of the time. ChatGPT asked a clarifying question before answering in 27.5% of cases, warned about red flags or scams in 15%, and told the buyer to verify credentials in 12.5%, averaging 708 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 17.5%, and framed the choice around local proximity in 2.5%; a selection-criteria checklist appeared in 22.5% of its answers and a recommendation to gather multiple quotes in 0%.

Across the 40 medtech ppc and seo services providers answers it produced, Claude recommended hiring a professional in 37.5% of them and suggested a DIY approach first 7.5% of the time. It named a specific provider in 5% of answers (about 0.1 distinct providers per answer) and included price or cost information 7.5% of the time. Claude asked a clarifying question before answering in 55% of cases, warned about red flags or scams in 20%, and told the buyer to verify credentials in 20%, averaging 331 words per answer. On the remaining cues it told the buyer to check reviews in 5%, pointed to case studies or a portfolio in 22.5%, and framed the choice around local proximity in 10%; a selection-criteria checklist appeared in 32.5% of its answers and a recommendation to gather multiple quotes in 0%.

Across the 40 medtech ppc and seo services providers answers it produced, Gemini recommended hiring a professional in 27.5% of them and suggested a DIY approach first 2.5% of the time. It named a specific provider in 7.5% of answers (about 0.3 distinct providers per answer) and included price or cost information 12.5% 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 10%, 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 7.5%, and framed the choice around local proximity in 5%; a selection-criteria checklist appeared in 35% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, ChatGPT is the assistant most likely to route a medtech ppc and seo services providers buyer to a professional (50%) and Gemini the least (27.5%). ChatGPT produced the longest answers, at 708 words on average. Specific providers were named most often by Gemini (7.5%) — even there, roughly one answer in 13 carried a name.

Where they disagree

The behaviors where the choice of model changes the answer.

The divergence index for this study is 16.7 points — the average distance between the most and least likely model across the coded behaviors. The gaps below are where which assistant a medtech ppc and seo services providers buyer happens to ask matters most:

  • Asks a clarifying question: from 0% (Gemini) to 55% (Claude) — a 55-point spread.
  • Recommends hiring a professional: from 27.5% (Gemini) to 50% (ChatGPT) — a 23-point spread.
  • Suggests a DIY approach first: from 2.5% (Gemini) to 22.5% (ChatGPT) — a 20-point spread.
  • Mentions case studies or portfolio: from 7.5% (Gemini) to 22.5% (Claude) — a 15-point spread.
  • Gives selection criteria: from 22.5% (ChatGPT) to 35% (Gemini) — a 13-point spread.

The widest single gap — asks a clarifying question, 55 points — means a medtech ppc and seo services providers 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 medtech ppc and seo services providers market.

Where they agree

The points of near-consensus in Medtech Ppc and SEO Services Providers.

On other behaviors the three models move almost in lockstep — the points of near-consensus for medtech ppc and seo services providers, where all three landed within a few points of each other:

  • Recommends multiple quotes: 0% across all three models.
  • Gives price or cost information: 7.5%–12.5% across all three (a 5-point spread).
  • Tells the buyer to check reviews: 0%–5% across all three (a 5-point spread).
  • Names a specific provider: 0%–7.5% across all three (a 8-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" (32.5%).

Every behavior, measured

All twelve coded behaviors for Medtech Ppc and SEO Services Providers, averaged across the three models.

The behaviors AI models reproduce most often for medtech ppc and seo services providers are recommends hiring a professional (38.3% on average), gives selection criteria (30%) and asks a clarifying question (27.5%); the rarest are recommends multiple quotes (0%), tells the buyer to check reviews (2.5%) and names a specific provider (4.2%). 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: 38.3% on average (ChatGPT 50%, Claude 37.5%, Gemini 27.5%) — a 23-point spread.
  • Gives selection criteria: 30% on average (ChatGPT 22.5%, Claude 32.5%, Gemini 35%) — a 13-point spread.
  • Asks a clarifying question: 27.5% on average (ChatGPT 27.5%, Claude 55%, Gemini 0%) — a 55-point spread.
  • Mentions case studies or portfolio: 15.8% on average (ChatGPT 17.5%, Claude 22.5%, Gemini 7.5%) — a 15-point spread.
  • Warns about red flags or scams: 15% on average (ChatGPT 15%, Claude 20%, Gemini 10%) — a 10-point spread.
  • Tells the buyer to verify credentials: 14.2% on average (ChatGPT 12.5%, Claude 20%, Gemini 10%) — a 10-point spread.
  • Suggests a DIY approach first: 10.8% on average (ChatGPT 22.5%, Claude 7.5%, Gemini 2.5%) — a 20-point spread.
  • Gives price or cost information: 9.2% on average (ChatGPT 7.5%, Claude 7.5%, Gemini 12.5%) — a 5-point spread.
  • Mentions local proximity: 5.8% on average (ChatGPT 2.5%, Claude 10%, Gemini 5%) — a 8-point spread.
  • Names a specific provider: 4.2% on average (ChatGPT 0%, Claude 5%, Gemini 7.5%) — a 8-point spread.
  • Tells the buyer to check reviews: 2.5% on average (ChatGPT 2.5%, Claude 5%, Gemini 0%) — a 5-point spread.
  • Recommends multiple quotes: 0% on average (ChatGPT 0%, Claude 0%, Gemini 0%).

Trust signals

How well the models protect the medtech ppc and seo services providers buyer.

Beyond whether to hire, the rubric codes how carefully each assistant protects the medtech ppc and seo services providers 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 14.2%. Warning about red flags or scams appeared in 15%.

On structuring the decision, a selection-criteria checklist showed up in 30% of answers on average and a recommendation to gather multiple quotes in 0%. The single least-reproduced protective signal for medtech ppc and seo services providers 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 Medtech Ppc and SEO Services Providers providers?

For service providers the decisive question is whether these systems name anyone at all. Across 120 medtech ppc and seo services providers answers, a specific provider was named in 4.2% 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 medtech ppc and seo services providers: visibility comes from being the reasoning a model reproduces, not from being the named recommendation.

The question set

What these 40 Medtech Ppc and SEO Services Providers questions cover.

The 40 questions behind every percentage on this page were drawn from real medtech ppc and seo services providers (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 medtech ppc and seo services providers 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 medtech ppc and seo services providers 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 →