AI SEO Statistics: Best SEO Retail (2026-07 edition)
15 questions · 45/45 expected AI responses · 3 models · measured 2026-07-05
The question bank
The questions we tested — a frozen buyer-intent benchmark for best seo retail.
The question set was curated from a predefined buyer-intent taxonomy and held constant for this edition. Each model received the same wording. These are the prompts behind every percentage on this page.
Show all 15 questions
Model by model
17.4% question-level model disagreement.
This rate is the average pairwise disagreement between binary behavior codes across questions and behaviors. It is not the gap between the highest and lowest aggregated model percentages.
Behavior prevalence across 15 best seo retail benchmark questions, 2026-07 edition. Last column: equal-model mean.
| Behavior | ChatGPT | Claude | Gemini | Equal-model mean |
|---|---|---|---|---|
| Recommends hiring a professional | 60% | 40% | 46.7% | 48.9% |
| Suggests DIY first | 13.3% | 20% | 6.7% | 13.3% |
| Names specific providers | 6.7% | 6.7% | 6.7% | 6.7% |
| Gives price or cost info | 13.3% | 13.3% | 20% | 15.5% |
| Tells to check reviews | 0% | 0% | 0% | 0% |
| Tells to verify credentials | 0% | 0% | 0% | 0% |
| Mentions case studies / portfolio | 20% | 26.7% | 0% | 15.6% |
| Mentions local proximity | 0% | 0% | 0% | 0% |
| Gives selection criteria | 33.3% | 53.3% | 26.7% | 37.8% |
| Warns about red flags | 0% | 33.3% | 13.3% | 15.5% |
| Asks a clarifying question | 46.7% | 80% | 0% | 42.2% |
| Recommends multiple quotes | 0% | 0% | 0% | 0% |
Question-level agreement
How often all measured models received the same binary code.
Agreement is calculated question by question for each behavior. A high value can coexist with a low behavior prevalence; it means the models usually agreed on whether the behavior appeared.
All-model binary agreement by behavior across 15 benchmark questions.
| Behavior | All-model agreement |
|---|---|
| Recommends hiring a professional | 60% |
| Suggests DIY first | 73.3% |
| Names specific providers | 86.7% |
| Gives price or cost info | 80% |
| Tells to check reviews | 100% |
| Tells to verify credentials | 100% |
| Mentions case studies / portfolio | 66.7% |
| Mentions local proximity | 100% |
| Gives selection criteria | 46.7% |
| Warns about red flags | 60% |
| Asks a clarifying question | 13.3% |
| Recommends multiple quotes | 100% |
By model
How each assistant handled Best SEO Retail questions.
Reading the 45 answers model by model shows how differently the three assistants treat the same best seo retail questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 60% (ChatGPT) down to 40% (Claude), a 20-point gap on an identical question set.
Across the 15 best seo retail answers it produced, ChatGPT recommended hiring a professional in 60% of them and suggested a DIY approach first 13.3% of the time. It named a specific provider in 6.7% of answers (about 0.2 distinct providers per answer) and included price or cost information 13.3% of the time. ChatGPT asked a clarifying question before answering in 46.7% of cases, warned about red flags or scams in 0%, and told the buyer to verify credentials in 0%, averaging 651 words per answer. On the remaining cues it told the buyer to check reviews in 0%, pointed to case studies or a portfolio in 20%, and framed the choice around local proximity in 0%; a selection-criteria checklist appeared in 33.3% of its answers and a recommendation to gather multiple quotes in 0%.
Across the 15 best seo retail answers it produced, Claude recommended hiring a professional in 40% of them and suggested a DIY approach first 20% of the time. It named a specific provider in 6.7% of answers (about 0.2 distinct providers per answer) and included price or cost information 13.3% of the time. Claude asked a clarifying question before answering in 80% of cases, warned about red flags or scams in 33.3%, and told the buyer to verify credentials in 0%, averaging 341 words per answer. On the remaining cues it told the buyer to check reviews in 0%, pointed to case studies or a portfolio in 26.7%, and framed the choice around local proximity in 0%; a selection-criteria checklist appeared in 53.3% of its answers and a recommendation to gather multiple quotes in 0%.
Across the 15 best seo retail answers it produced, Gemini recommended hiring a professional in 46.7% of them and suggested a DIY approach first 6.7% of the time. It named a specific provider in 6.7% of answers (about 0.2 distinct providers per answer) and included price or cost information 20% of the time. Gemini asked a clarifying question before answering in 0% of cases, warned about red flags or scams in 13.3%, and told the buyer to verify credentials in 0%, averaging 247 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 0%; a selection-criteria checklist appeared in 26.7% 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 retail buyer to a professional (60%) and Claude the least (40%). ChatGPT produced the longest answers, at 651 words on average. Specific providers were named most often by ChatGPT (6.7%) — even there, roughly one answer in 15 carried a name.
Where they disagree
The behaviors where the choice of model changes the answer.
Question-level model disagreement is 17.4% — the average pairwise rate at which models received different binary codes across questions and behaviors. The observed rate spreads below are a separate measure showing where which assistant a best seo retail buyer happens to ask matters most:
- Asks a clarifying question: from 0% (Gemini) to 80% (Claude) — a 80-point spread.
- Warns about red flags or scams: from 0% (ChatGPT) to 33.3% (Claude) — a 33-point spread.
- Mentions case studies or portfolio: from 0% (Gemini) to 26.7% (Claude) — a 27-point spread.
- Gives selection criteria: from 26.7% (Gemini) to 53.3% (Claude) — a 27-point spread.
- Recommends hiring a professional: from 40% (Claude) to 60% (ChatGPT) — a 20-point spread.
The widest single gap — asks a clarifying question, 80 points — means a best seo retail 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 retail market.
Where they agree
The points of near-consensus in Best SEO Retail.
On other behaviors the three models move almost in lockstep — the points of near-consensus for best seo retail, where all three landed within a few points of each other:
- Names a specific provider: 6.7% across all three models.
- Tells the buyer to check reviews: 0% across all three models.
- Tells the buyer to verify credentials: 0% across all three models.
- Mentions local proximity: 0% across all three models.
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" (13.3%).
Every behavior, measured
All twelve coded behaviors for Best SEO Retail, averaged across the three models.
The behaviors AI models reproduce most often for best seo retail are recommends hiring a professional (48.9% on average), asks a clarifying question (42.2%) and gives selection criteria (37.8%); the rarest are recommends multiple quotes (0%), mentions local proximity (0%) and tells the buyer to verify credentials (0%). Each figure below is the share of a model's 15 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: 48.9% on average (ChatGPT 60%, Claude 40%, Gemini 46.7%) — a 20-point spread.
- Asks a clarifying question: 42.2% on average (ChatGPT 46.7%, Claude 80%, Gemini 0%) — a 80-point spread.
- Gives selection criteria: 37.8% on average (ChatGPT 33.3%, Claude 53.3%, Gemini 26.7%) — a 27-point spread.
- Mentions case studies or portfolio: 15.6% on average (ChatGPT 20%, Claude 26.7%, Gemini 0%) — a 27-point spread.
- Gives price or cost information: 15.5% on average (ChatGPT 13.3%, Claude 13.3%, Gemini 20%) — a 7-point spread.
- Warns about red flags or scams: 15.5% on average (ChatGPT 0%, Claude 33.3%, Gemini 13.3%) — a 33-point spread.
- Suggests a DIY approach first: 13.3% on average (ChatGPT 13.3%, Claude 20%, Gemini 6.7%) — a 13-point spread.
- Names a specific provider: 6.7% on average (ChatGPT 6.7%, Claude 6.7%, Gemini 6.7%).
- Tells the buyer to check reviews: 0% on average (ChatGPT 0%, Claude 0%, Gemini 0%).
- Tells the buyer to verify credentials: 0% on average (ChatGPT 0%, Claude 0%, Gemini 0%).
- Mentions local proximity: 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 best seo retail buyer.
Beyond whether to hire, the rubric codes how carefully each assistant protects the best seo retail 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 0%. Warning about red flags or scams appeared in 15.5%.
On structuring the decision, a selection-criteria checklist showed up in 37.8% of answers on average and a recommendation to gather multiple quotes in 0%. The single least-reproduced protective signal for best seo retail 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 Best SEO Retail providers?
For service providers the decisive question is whether these systems name anyone at all. Across 45 best seo retail answers, a specific provider was named in 6.7% of responses on average — roughly 0.2 distinct providers per answer. In practice the assistants behave far more as an explanatory layer than as a referral engine for best seo retail: visibility comes from being the reasoning a model reproduces, not from being the named recommendation.
The question set
What these 15 Best SEO Retail questions cover.
The 15 questions behind every percentage on this page form a frozen best seo retail (ecommerce / online retail; buyer hiring decisions for this specific service) buyer-intent benchmark. Each was put to all 3 models once, with identical wording, so the rates above describe how the assistants handled this exact best seo retail 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 15 answers in which the behavior appeared at least once — not a confidence score. Because each model answered every question exactly once on 2026-07-05, the figures describe this specific best seo retail 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.
15 frozen benchmark questions, one expected response per model per question (ChatGPT API (gpt-5-mini), Claude API (claude-sonnet-5), Gemini API (gemini-3-flash-preview)), collected 2026-07-05 and coded against a fixed 12-behavior rubric. The pipeline validates the schema, recomputes aggregates and reports consistency issues. AI outputs vary with model version, location and time, so the figures describe this edition's exact sample and measurement window. Read the full methodology →
Citation
Cite this edition.
Authority Specialist. “AI SEO Statistics: Best SEO Retail (2026-07 edition).” AuthoritySpecialist.com. https://authorityspecialist.com/research/ai-seo-statistics/services/ecommerce/best-seo-retail