Original research · 2026-07 edition

AI SEO Statistics: Endodontist (2026-07 edition)

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

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The question bank

The questions we tested — sampled from real buyer journeys in endodontist.

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

Why does my tooth hurt only when I bite down on something hard?
Is a root canal really better than just pulling the tooth and getting an implant?
How do I know if I should see an endodontist instead of my regular family dentist?
What are the warning signs that an old root canal is starting to fail?
Does a root canal hurt more than a standard deep filling?
Can an endodontist save a tooth that has a vertical fracture or crack?
I have a small bump on my gums above a tooth that had work done, what does that mean?
How much does a molar root canal typically cost if I don't have dental insurance?
Show all 40 questions
What specific certifications should I look for when vetting a local endodontist?
Do endodontists usually offer IV sedation for patients with extreme dental anxiety?
Is it worth the extra money to have a specialist perform my root canal?
What exactly is an apicoectomy and when is it the only option left?
Can a root canal be finished in one appointment or does it always require two?
My dentist said my canals are calcified, can an endodontist still navigate them?
What is the typical recovery time before I can eat normally after a root canal?
Why is my tooth still sensitive to cold liquids weeks after a root canal was finished?
What are the risks of waiting a few months to treat an infected tooth root?
What specific questions should I ask an endodontist during my first consultation?
Will I be able to drive myself home after getting a root canal with local anesthesia?
Is it normal for a specialist to charge $1,500 for a single root canal procedure?
How do I find an endodontist who specializes in complex retreats of failed work?
Does a modern endodontic office need to have a 3D CBCT scanner?
My tooth is throbbing and keeping me up at night, is this considered a dental emergency?
If I choose an extraction over a root canal, what are the hidden long-term costs?
Do most endodontists accept PPO insurance or are they usually out-of-network?
Can an endodontist help if a permanent tooth was knocked out during sports?
What happens if a dental tool breaks inside the root canal during the procedure?
Should I prioritize finding an endodontist who uses a surgical microscope?
How can I tell if my upper tooth pain is a sinus infection or a dental nerve issue?
Can an endodontist treat a child's permanent tooth if the root isn't fully formed yet?
What are the red flags I should look for in a specialist's office or staff?
Is there any way to fix a root canal that didn't heal properly the first time around?
Does the quote for a root canal usually include the cost of the permanent crown?
Why do some dentists require a referral while others let you book an endodontist directly?
Are there any biocompatible or holistic alternatives to traditional root canal fillers?
How can I find an endodontist who has emergency hours on a Saturday or Sunday?
If I have a high fever along with my toothache, should I go to the ER or a specialist?
What is the long-term success rate of a root canal retreat compared to a bridge?
Can an endodontist treat internal resorption before it destroys the whole tooth?
Why does my tooth feel slightly higher than the others after my procedure?

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 endodontist buyers.

Behavior rates across 40 endodontist buyer questions, 2026-07 edition. Last column: average across models.
ChatGPTClaudeGeminiConsensus
Recommends hiring a professional78%75%48%60%
Suggests DIY first8%5%5%98%
Names specific providers0%0%3%98%
Gives price or cost info8%15%8%83%
Tells to check reviews8%8%3%95%
Tells to verify credentials18%13%8%85%
Mentions case studies / portfolio5%3%0%95%
Mentions local proximity15%15%10%80%
Gives selection criteria30%35%20%73%
Warns about red flags10%8%8%88%
Asks a clarifying question60%63%0%18%
Recommends multiple quotes15%8%0%85%

By model

How each assistant handled Endodontist questions.

Reading the 120 answers model by model shows how differently the three assistants treat the same endodontist questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 77.5% (ChatGPT) down to 47.5% (Gemini), a 30-point gap on an identical question set.

Across the 40 endodontist answers it produced, ChatGPT recommended hiring a professional in 77.5% of them and suggested a DIY approach first 7.5% 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 60% of cases, warned about red flags or scams in 10%, and told the buyer to verify credentials in 17.5%, averaging 407 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 15%; a selection-criteria checklist appeared in 30% of its answers and a recommendation to gather multiple quotes in 15%.

Across the 40 endodontist answers it produced, Claude recommended hiring a professional in 75% 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 15% 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 12.5%, averaging 288 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 2.5%, and framed the choice around local proximity in 15%; a selection-criteria checklist appeared in 35% of its answers and a recommendation to gather multiple quotes in 7.5%.

Across the 40 endodontist answers it produced, Gemini recommended hiring a professional in 47.5% of them and suggested a DIY approach first 5% of the time. It named a specific provider in 2.5% of answers (about 0.1 distinct providers per answer) and included price or cost information 7.5% of the time. Gemini asked a clarifying question before answering in 0% of cases, warned about red flags or scams in 7.5%, and told the buyer to verify credentials in 7.5%, averaging 314 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 10%; a selection-criteria checklist appeared in 20% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, ChatGPT is the assistant most likely to route an endodontist buyer to a professional (77.5%) and Gemini the least (47.5%). ChatGPT produced the longest answers, at 407 words on average. Specific providers were named most often by Gemini (2.5%) — even there, roughly one answer in 40 carried a name.

Where they disagree

The behaviors where the choice of model changes the answer.

The divergence index for this study is 13.6 points — the average distance between the most and least likely model across the coded behaviors. The gaps below are where which assistant an endodontist buyer happens to ask matters most:

  • Asks a clarifying question: from 0% (Gemini) to 62.5% (Claude) — a 63-point spread.
  • Recommends hiring a professional: from 47.5% (Gemini) to 77.5% (ChatGPT) — a 30-point spread.
  • Gives selection criteria: from 20% (Gemini) to 35% (Claude) — a 15-point spread.
  • Recommends multiple quotes: from 0% (Gemini) to 15% (ChatGPT) — a 15-point spread.
  • Tells the buyer to verify credentials: from 7.5% (Gemini) to 17.5% (ChatGPT) — a 10-point spread.

The widest single gap — asks a clarifying question, 63 points — means an endodontist 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 endodontist market.

Where they agree

The points of near-consensus in Endodontist.

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

  • Suggests a DIY approach first: 5%–7.5% across all three (a 3-point spread).
  • Names a specific provider: 0%–2.5% across all three (a 3-point spread).
  • Warns about red flags or scams: 7.5%–10% across all three (a 3-point spread).
  • Tells the buyer to check reviews: 2.5%–7.5% across all three (a 5-point spread).

Measured question by question, the three assistants coded a response the same way most consistently on "suggests a DIY approach first" (identical coding in 97.5% of questions) and least consistently on "asks a clarifying question" (17.5%).

Every behavior, measured

All twelve coded behaviors for Endodontist, averaged across the three models.

The behaviors AI models reproduce most often for endodontist are recommends hiring a professional (66.7% on average), asks a clarifying question (40.8%) and gives selection criteria (28.3%); the rarest are names a specific provider (0.8%), mentions case studies or portfolio (2.5%) and tells the buyer to check reviews (5.8%). 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: 66.7% on average (ChatGPT 77.5%, Claude 75%, Gemini 47.5%) — a 30-point spread.
  • Asks a clarifying question: 40.8% on average (ChatGPT 60%, Claude 62.5%, Gemini 0%) — a 63-point spread.
  • Gives selection criteria: 28.3% on average (ChatGPT 30%, Claude 35%, Gemini 20%) — a 15-point spread.
  • Mentions local proximity: 13.3% on average (ChatGPT 15%, Claude 15%, Gemini 10%) — a 5-point spread.
  • Tells the buyer to verify credentials: 12.5% on average (ChatGPT 17.5%, Claude 12.5%, Gemini 7.5%) — a 10-point spread.
  • Gives price or cost information: 10% on average (ChatGPT 7.5%, Claude 15%, Gemini 7.5%) — a 8-point spread.
  • Warns about red flags or scams: 8.3% on average (ChatGPT 10%, Claude 7.5%, Gemini 7.5%) — a 3-point spread.
  • Recommends multiple quotes: 7.5% on average (ChatGPT 15%, Claude 7.5%, Gemini 0%) — a 15-point spread.
  • Suggests a DIY approach first: 5.8% on average (ChatGPT 7.5%, Claude 5%, Gemini 5%) — a 3-point spread.
  • Tells the buyer to check reviews: 5.8% on average (ChatGPT 7.5%, Claude 7.5%, Gemini 2.5%) — a 5-point spread.
  • Mentions case studies or portfolio: 2.5% on average (ChatGPT 5%, Claude 2.5%, Gemini 0%) — a 5-point spread.
  • Names a specific provider: 0.8% on average (ChatGPT 0%, Claude 0%, Gemini 2.5%) — a 3-point spread.

Trust signals

How well the models protect the endodontist buyer.

Beyond whether to hire, the rubric codes how carefully each assistant protects the endodontist buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 5.8% of answers on average. Verifying credentials or certifications appeared in 12.5%. Warning about red flags or scams appeared in 8.3%.

On structuring the decision, a selection-criteria checklist showed up in 28.3% of answers on average and a recommendation to gather multiple quotes in 7.5%. The single least-reproduced protective signal for endodontist is "tells the buyer to check reviews" at 5.8% 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 Endodontist providers?

For service providers the decisive question is whether these systems name anyone at all. Across 120 endodontist answers, a specific provider was named in 0.8% 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 endodontist: visibility comes from being the reasoning a model reproduces, not from being the named recommendation.

The question set

What these 40 Endodontist questions cover.

The 40 questions behind every percentage on this page were drawn from real endodontist (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 endodontist 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 endodontist 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 →