AI SEO Statistics: Best SEO for Functional Medicine (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 functional medicine.
Each model answered every question once, same wording, same day. These are the prompts behind every percentage on this page.
Show all 40 questions
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 functional medicine buyers.
| ChatGPT | Claude | Gemini | Consensus | |
|---|---|---|---|---|
| Recommends hiring a professional | 23% | 20% | 20% | 83% |
| Suggests DIY first | 48% | 25% | 25% | 58% |
| Names specific providers | 0% | 5% | 8% | 90% |
| Gives price or cost info | 5% | 3% | 3% | 95% |
| Tells to check reviews | 0% | 3% | 0% | 98% |
| Tells to verify credentials | 5% | 0% | 5% | 90% |
| Mentions case studies / portfolio | 13% | 5% | 5% | 85% |
| Mentions local proximity | 30% | 38% | 43% | 45% |
| Gives selection criteria | 13% | 10% | 15% | 80% |
| Warns about red flags | 13% | 8% | 10% | 80% |
| Asks a clarifying question | 30% | 40% | 0% | 48% |
| Recommends multiple quotes | 5% | 0% | 0% | 95% |
By model
How each assistant handled Best SEO for Functional Medicine questions.
Reading the 120 answers model by model shows how differently the three assistants treat the same best seo for functional medicine questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 22.5% (ChatGPT) down to 20% (Claude), a 3-point gap on an identical question set.
Across the 40 best seo for functional medicine answers it produced, ChatGPT recommended hiring a professional in 22.5% of them and suggested a DIY approach first 47.5% of the time. It named a specific provider in 0% of answers (about 0 distinct providers per answer) and included price or cost information 5% of the time. ChatGPT asked a clarifying question before answering in 30% of cases, warned about red flags or scams in 12.5%, and told the buyer to verify credentials in 5%, averaging 756 words per answer. On the remaining cues it told the buyer to check reviews in 0%, pointed to case studies or a portfolio in 12.5%, and framed the choice around local proximity in 30%; a selection-criteria checklist appeared in 12.5% of its answers and a recommendation to gather multiple quotes in 5%.
Across the 40 best seo for functional medicine answers it produced, Claude recommended hiring a professional in 20% of them and suggested a DIY approach first 25% of the time. It named a specific provider in 5% of answers (about 0.2 distinct providers per answer) and included price or cost information 2.5% of the time. Claude asked a clarifying question before answering in 40% of cases, warned about red flags or scams in 7.5%, and told the buyer to verify credentials in 0%, averaging 335 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 5%, and framed the choice around local proximity in 37.5%; 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 functional medicine answers it produced, Gemini recommended hiring a professional in 20% of them and suggested a DIY approach first 25% of the time. It named a specific provider in 7.5% of answers (about 0.1 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 5%, averaging 231 words per answer. On the remaining cues it told the buyer to check reviews in 0%, pointed to case studies or a portfolio in 5%, and framed the choice around local proximity in 42.5%; a selection-criteria checklist appeared in 15% 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 functional medicine buyer to a professional (22.5%) and Claude the least (20%). ChatGPT produced the longest answers, at 756 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 14.2 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 functional medicine buyer happens to ask matters most:
- Asks a clarifying question: from 0% (Gemini) to 40% (Claude) — a 40-point spread.
- Suggests a DIY approach first: from 25% (Claude) to 47.5% (ChatGPT) — a 23-point spread.
- Mentions local proximity: from 30% (ChatGPT) to 42.5% (Gemini) — a 13-point spread.
- Names a specific provider: from 0% (ChatGPT) to 7.5% (Gemini) — a 8-point spread.
- Mentions case studies or portfolio: from 5% (Claude) to 12.5% (ChatGPT) — a 8-point spread.
The widest single gap — asks a clarifying question, 40 points — means a best seo for functional medicine 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 functional medicine market.
Where they agree
The points of near-consensus in Best SEO for Functional Medicine.
On other behaviors the three models move almost in lockstep — the points of near-consensus for best seo for functional medicine, where all three landed within a few points of each other:
- Recommends hiring a professional: 20%–22.5% across all three (a 3-point spread).
- Gives price or cost information: 2.5%–5% across all three (a 3-point spread).
- Tells the buyer to check reviews: 0%–2.5% across all three (a 3-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 "tells the buyer to check reviews" (identical coding in 97.5% of questions) and least consistently on "mentions local proximity" (45%).
Every behavior, measured
All twelve coded behaviors for Best SEO for Functional Medicine, averaged across the three models.
The behaviors AI models reproduce most often for best seo for functional medicine are mentions local proximity (36.7% on average), suggests a DIY approach first (32.5%) and asks a clarifying question (23.3%); the rarest are tells the buyer to check reviews (0.8%), recommends multiple quotes (1.7%) and tells the buyer to verify credentials (3.3%). 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: 36.7% on average (ChatGPT 30%, Claude 37.5%, Gemini 42.5%) — a 13-point spread.
- Suggests a DIY approach first: 32.5% on average (ChatGPT 47.5%, Claude 25%, Gemini 25%) — a 23-point spread.
- Asks a clarifying question: 23.3% on average (ChatGPT 30%, Claude 40%, Gemini 0%) — a 40-point spread.
- Recommends hiring a professional: 20.8% on average (ChatGPT 22.5%, Claude 20%, Gemini 20%) — a 3-point spread.
- Gives selection criteria: 12.5% on average (ChatGPT 12.5%, Claude 10%, Gemini 15%) — a 5-point spread.
- Warns about red flags or scams: 10% on average (ChatGPT 12.5%, Claude 7.5%, Gemini 10%) — a 5-point spread.
- Mentions case studies or portfolio: 7.5% on average (ChatGPT 12.5%, Claude 5%, 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.
- Gives price or cost information: 3.3% on average (ChatGPT 5%, Claude 2.5%, Gemini 2.5%) — a 3-point spread.
- Tells the buyer to verify credentials: 3.3% on average (ChatGPT 5%, Claude 0%, Gemini 5%) — a 5-point spread.
- Recommends multiple quotes: 1.7% on average (ChatGPT 5%, Claude 0%, Gemini 0%) — a 5-point spread.
- Tells the buyer to check reviews: 0.8% on average (ChatGPT 0%, Claude 2.5%, Gemini 0%) — a 3-point spread.
Trust signals
How well the models protect the best seo for functional medicine buyer.
Beyond whether to hire, the rubric codes how carefully each assistant protects the best seo for functional medicine buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 0.8% of answers on average. Verifying credentials or certifications appeared in 3.3%. Warning about red flags or scams appeared in 10%.
On structuring the decision, a selection-criteria checklist showed up in 12.5% of answers on average and a recommendation to gather multiple quotes in 1.7%. The single least-reproduced protective signal for best seo for functional medicine is "tells the buyer to check reviews" 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 Functional Medicine providers?
For service providers the decisive question is whether these systems name anyone at all. Across 120 best seo for functional medicine 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 best seo for functional medicine: visibility comes from being the reasoning a model reproduces, not from being the named recommendation.
The question set
What these 40 Best SEO for Functional Medicine questions cover.
The 40 questions behind every percentage on this page were drawn from real best seo for functional medicine (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 functional medicine 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 functional medicine 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 →