AI SEO Statistics: Cbd SEO Strategy (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 cbd seo strategy.
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
15-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 cbd seo strategy buyers.
| ChatGPT | Claude | Gemini | Consensus | |
|---|---|---|---|---|
| Recommends hiring a professional | 43% | 30% | 25% | 68% |
| Suggests DIY first | 48% | 13% | 18% | 50% |
| Names specific providers | 0% | 3% | 5% | 93% |
| Gives price or cost info | 13% | 5% | 5% | 88% |
| Tells to check reviews | 0% | 0% | 0% | 100% |
| Tells to verify credentials | 3% | 3% | 8% | 90% |
| Mentions case studies / portfolio | 3% | 10% | 3% | 85% |
| Mentions local proximity | 8% | 10% | 5% | 85% |
| Gives selection criteria | 10% | 18% | 13% | 70% |
| Warns about red flags | 10% | 23% | 15% | 58% |
| Asks a clarifying question | 25% | 43% | 3% | 43% |
| Recommends multiple quotes | 0% | 0% | 0% | 100% |
By model
How each assistant handled Cbd SEO Strategy questions.
Reading the 120 answers model by model shows how differently the three assistants treat the same cbd seo strategy questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 42.5% (ChatGPT) down to 25% (Gemini), a 18-point gap on an identical question set.
Across the 40 cbd seo strategy answers it produced, ChatGPT recommended hiring a professional in 42.5% 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 12.5% of the time. ChatGPT asked a clarifying question before answering in 25% of cases, warned about red flags or scams in 10%, and told the buyer to verify credentials in 2.5%, 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 2.5%, and framed the choice around local proximity in 7.5%; a selection-criteria checklist appeared in 10% of its answers and a recommendation to gather multiple quotes in 0%.
Across the 40 cbd seo strategy answers it produced, Claude recommended hiring a professional in 30% of them and suggested a DIY approach first 12.5% 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. Claude asked a clarifying question before answering in 42.5% of cases, warned about red flags or scams in 22.5%, and told the buyer to verify credentials in 2.5%, averaging 328 words per answer. On the remaining cues it told the buyer to check reviews in 0%, pointed to case studies or a portfolio in 10%, and framed the choice around local proximity in 10%; a selection-criteria checklist appeared in 17.5% of its answers and a recommendation to gather multiple quotes in 0%.
Across the 40 cbd seo strategy answers it produced, Gemini recommended hiring a professional in 25% of them and suggested a DIY approach first 17.5% 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 5% of the time. Gemini asked a clarifying question before answering in 2.5% of cases, warned about red flags or scams in 15%, and told the buyer to verify credentials in 7.5%, averaging 203 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 5%; 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 a cbd seo strategy buyer to a professional (42.5%) and Gemini the least (25%). ChatGPT produced the longest answers, at 756 words on average. Specific providers were named most often by Gemini (5%) — even there, roughly one answer in 20 carried a name.
Where they disagree
The behaviors where the choice of model changes the answer.
The divergence index for this study is 15.1 points — the average distance between the most and least likely model across the coded behaviors. The gaps below are where which assistant a cbd seo strategy buyer happens to ask matters most:
- Asks a clarifying question: from 2.5% (Gemini) to 42.5% (Claude) — a 40-point spread.
- Suggests a DIY approach first: from 12.5% (Claude) to 47.5% (ChatGPT) — a 35-point spread.
- Recommends hiring a professional: from 25% (Gemini) to 42.5% (ChatGPT) — a 18-point spread.
- Warns about red flags or scams: from 10% (ChatGPT) to 22.5% (Claude) — a 13-point spread.
- Gives price or cost information: from 5% (Claude) to 12.5% (ChatGPT) — a 8-point spread.
The widest single gap — asks a clarifying question, 40 points — means a cbd seo strategy 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 cbd seo strategy market.
Where they agree
The points of near-consensus in Cbd SEO Strategy.
On other behaviors the three models move almost in lockstep — the points of near-consensus for cbd seo strategy, where all three landed within a few points of each other:
- Tells the buyer to check reviews: 0% across all three models.
- Recommends multiple quotes: 0% across all three models.
- Names a specific provider: 0%–5% across all three (a 5-point spread).
- Tells the buyer to verify credentials: 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 "tells the buyer to check reviews" (identical coding in 100% of questions) and least consistently on "asks a clarifying question" (42.5%).
Every behavior, measured
All twelve coded behaviors for Cbd SEO Strategy, averaged across the three models.
The behaviors AI models reproduce most often for cbd seo strategy are recommends hiring a professional (32.5% on average), suggests a DIY approach first (25.8%) and asks a clarifying question (23.3%); the rarest are recommends multiple quotes (0%), tells the buyer to check reviews (0%) and names a specific provider (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:
- Recommends hiring a professional: 32.5% on average (ChatGPT 42.5%, Claude 30%, Gemini 25%) — a 18-point spread.
- Suggests a DIY approach first: 25.8% on average (ChatGPT 47.5%, Claude 12.5%, Gemini 17.5%) — a 35-point spread.
- Asks a clarifying question: 23.3% on average (ChatGPT 25%, Claude 42.5%, Gemini 2.5%) — a 40-point spread.
- Warns about red flags or scams: 15.8% on average (ChatGPT 10%, Claude 22.5%, Gemini 15%) — a 13-point spread.
- Gives selection criteria: 13.3% on average (ChatGPT 10%, Claude 17.5%, Gemini 12.5%) — a 8-point spread.
- Gives price or cost information: 7.5% on average (ChatGPT 12.5%, Claude 5%, Gemini 5%) — a 8-point spread.
- Mentions local proximity: 7.5% on average (ChatGPT 7.5%, Claude 10%, Gemini 5%) — a 5-point spread.
- Mentions case studies or portfolio: 5% on average (ChatGPT 2.5%, Claude 10%, Gemini 2.5%) — a 8-point spread.
- Tells the buyer to verify credentials: 4.2% on average (ChatGPT 2.5%, Claude 2.5%, Gemini 7.5%) — a 5-point spread.
- Names a specific provider: 2.5% on average (ChatGPT 0%, Claude 2.5%, Gemini 5%) — a 5-point spread.
- Tells the buyer to check reviews: 0% on average (ChatGPT 0%, Claude 0%, Gemini 0%).
- Recommends multiple quotes: 0% on average (ChatGPT 0%, Claude 0%, Gemini 0%).
Trust signals
How well the models protect the cbd seo strategy buyer.
Beyond whether to hire, the rubric codes how carefully each assistant protects the cbd seo strategy buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 0% of answers on average. Verifying credentials or certifications appeared in 4.2%. Warning about red flags or scams appeared in 15.8%.
On structuring the decision, a selection-criteria checklist showed up in 13.3% of answers on average and a recommendation to gather multiple quotes in 0%. The single least-reproduced protective signal for cbd seo strategy is "tells the buyer to check reviews" 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 Cbd SEO Strategy providers?
For service providers the decisive question is whether these systems name anyone at all. Across 120 cbd seo strategy answers, a specific provider was named in 2.5% 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 cbd seo strategy: visibility comes from being the reasoning a model reproduces, not from being the named recommendation.
The question set
What these 40 Cbd SEO Strategy questions cover.
The 40 questions behind every percentage on this page were drawn from real cbd seo strategy (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 cbd seo strategy 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 cbd seo strategy 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 →