AI SEO Statistics: Cupcake Shops (2026-07 edition)

Reading the 120 answers model by model shows how differently the three assistants treat the same cupcake shops questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 30% (ChatGPT) down to 27.5% (Claude), a 3-point gap on an identical question set.

Across the 40 cupcake shops answers it produced, ChatGPT recommended hiring a professional in 30% of them and suggested a DIY approach first 10% 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 25% of the time. ChatGPT asked a clarifying question before answering in 60% of cases, warned about red flags or scams in 7.5%, and told the buyer to verify credentials in 7.5%, averaging 375 words per answer. On the remaining cues it told the buyer to check reviews in 12.5%, pointed to case studies or a portfolio in 7.5%, and framed the choice around local proximity in 35%; a selection-criteria checklist appeared in 50% of its answers and a recommendation to gather multiple quotes in 7.5%.

Across the 40 cupcake shops answers it produced, Claude recommended hiring a professional in 27.5% of them and suggested a DIY approach first 7.5% of the time. It named a specific provider in 12.5% of answers (about 0.3 distinct providers per answer) and included price or cost information 20% of the time. Claude asked a clarifying question before answering in 67.5% of cases, warned about red flags or scams in 12.5%, and told the buyer to verify credentials in 7.5%, averaging 245 words per answer. On the remaining cues it told the buyer to check reviews in 20%, pointed to case studies or a portfolio in 5%, and framed the choice around local proximity in 40%; a selection-criteria checklist appeared in 40% of its answers and a recommendation to gather multiple quotes in 10%.

Across the 40 cupcake shops answers it produced, Gemini recommended hiring a professional in 30% of them and suggested a DIY approach first 7.5% of the time. It named a specific provider in 27.5% of answers (about 1.1 distinct providers per answer) and included price or cost information 32.5% of the time. Gemini asked a clarifying question before answering in 5% of cases, warned about red flags or scams in 10%, and told the buyer to verify credentials in 5%, averaging 277 words per answer. On the remaining cues it told the buyer to check reviews in 5%, pointed to case studies or a portfolio in 2.5%, and framed the choice around local proximity in 32.5%; a selection-criteria checklist appeared in 30% of its answers and a recommendation to gather multiple quotes in 2.5%.

Taken together, ChatGPT is the assistant most likely to route a cupcake shops buyer to a professional (30%) and Claude the least (27.5%). ChatGPT produced the longest answers, at 375 words on average. Specific providers were named most often by Gemini (27.5%) — even there, roughly one answer in 4 carried a name.

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

• Recommends hiring a professional: 27.5%–30% across all three (a 3-point spread).
• Suggests a DIY approach first: 7.5%–10% across all three (a 3-point spread).
• Tells the buyer to verify credentials: 5%–7.5% across all three (a 3-point spread).
• Mentions case studies or portfolio: 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 verify credentials" (identical coding in 92.5% of questions) and least consistently on "asks a clarifying question" (7.5%).

Beyond whether to hire, the rubric codes how carefully each assistant protects the cupcake shops buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 12.5% of answers on average. Verifying credentials or certifications appeared in 6.7%. Warning about red flags or scams appeared in 10%.

On structuring the decision, a selection-criteria checklist showed up in 40% of answers on average and a recommendation to gather multiple quotes in 6.7%. The single least-reproduced protective signal for cupcake shops is "tells the buyer to verify credentials" at 6.7% on average — the clearest opening for content that supplies it, since the models are not yet reliably surfacing that guidance on their own.

The 40 questions behind every percentage on this page were drawn from real cupcake shops (hospitality; 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 cupcake shops 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.