AI models heavily favor providing selection criteria over directly recommending a single professional, meaning ecommerce businesses must optimize their content to align with these criteria rather than relying on direct brand mentions alone.
AI SEO Statistics: Ecommerce (2026-07 edition)
In the ecommerce sector, AI models display a stark divide between consultative and direct recommendation approaches. While ChatGPT and Claude frequently guide users through selection criteria and ask clarifying questions, Gemini favors shorter answers that directly name specific providers. Notably, traditional trust signals like case studies and portfolios are entirely ignored by all three models, signaling a shift in how AI evaluates ecommerce solutions.
40 questions · 120 AI responses · 3 models · measured 2026-07-02
Key statistics
Every number below is measured, anchored, and sourced.
The question bank
The questions we tested — sampled from real buyer journeys in ecommerce.
Each model answered every question once, same wording, same day. These are the prompts behind every percentage on this page.
Show all 40 questions
By service
Not all ecommerce services are treated the same by AI.
We ran the same measurement on 38 distinct ecommerce services. The rate at which ChatGPT, Claude and Gemini push buyers toward a professional swings widely, and that gap is exactly where authority is won or lost.
Measured across ChatGPT, Claude and Gemini · 15 buyer questions per service × 3 models · Authority Specialist AI Study. Free to cite with attribution.
Model by model
21-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 ecommerce buyers.
| ChatGPT | Claude | Gemini | Consensus | |
|---|---|---|---|---|
| Recommends hiring a professional | 25% | 13% | 5% | 78% |
| Suggests DIY first | 23% | 13% | 13% | 75% |
| Names specific providers | 33% | 50% | 65% | 53% |
| Gives price or cost info | 25% | 28% | 33% | 65% |
| Tells to check reviews | 23% | 28% | 0% | 55% |
| Tells to verify credentials | 13% | 13% | 5% | 80% |
| Mentions case studies / portfolio | 0% | 0% | 0% | 100% |
| Mentions local proximity | 15% | 10% | 3% | 78% |
| Gives selection criteria | 58% | 70% | 48% | 33% |
| Warns about red flags | 8% | 18% | 13% | 78% |
| Asks a clarifying question | 55% | 63% | 10% | 30% |
| Recommends multiple quotes | 0% | 0% | 0% | 100% |
What this means
What this means for ecommerce businesses.
The complete absence of case study and portfolio mentions across all models suggests that AI engines currently prioritize feature lists, pricing, and general criteria over past performance metrics when answering ecommerce queries.
The sharp divergence in conversational style—with Claude and ChatGPT frequently asking clarifying questions while Gemini defaults to immediate answers—means businesses must prepare for multi-turn AI search journeys on some platforms and zero-click summaries on others.
Gemini's high propensity to name specific providers (65%) and include pricing (33%), combined with its lack of emphasis on reviews (0%), indicates it acts more as a direct recommendation engine, whereas ChatGPT and Claude act as consultative guides.
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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 2026-07-02, 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 →