AI SEO Statistics: Internet Cafes (2026-07 edition)

Reading the 120 answers model by model shows how differently the three assistants treat the same internet cafes questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 15% (ChatGPT) down to 7.5% (Claude), a 8-point gap on an identical question set.

Across the 40 internet cafes answers it produced, ChatGPT recommended hiring a professional in 15% of them and suggested a DIY approach first 20% of the time. It named a specific provider in 17.5% of answers (about 0.7 distinct providers per answer) and included price or cost information 10% of the time. ChatGPT asked a clarifying question before answering in 52.5% of cases, warned about red flags or scams in 5%, and told the buyer to verify credentials in 0%, averaging 325 words per answer. On the remaining cues it told the buyer to check reviews in 15%, pointed to case studies or a portfolio in 0%, and framed the choice around local proximity in 32.5%; a selection-criteria checklist appeared in 42.5% of its answers and a recommendation to gather multiple quotes in 0%.

Across the 40 internet cafes answers it produced, Claude recommended hiring a professional in 7.5% of them and suggested a DIY approach first 25% of the time. It named a specific provider in 25% of answers (about 0.6 distinct providers per answer) and included price or cost information 10% of the time. Claude asked a clarifying question before answering in 62.5% of cases, warned about red flags or scams in 5%, and told the buyer to verify credentials in 0%, averaging 232 words per answer. On the remaining cues it told the buyer to check reviews in 30%, pointed to case studies or a portfolio in 0%, and framed the choice around local proximity in 37.5%; a selection-criteria checklist appeared in 35% of its answers and a recommendation to gather multiple quotes in 0%.

Across the 40 internet cafes answers it produced, Gemini recommended hiring a professional in 10% of them and suggested a DIY approach first 10% of the time. It named a specific provider in 35% of answers (about 1.5 distinct providers per answer) and included price or cost information 32.5% of the time. Gemini asked a clarifying question before answering in 12.5% of cases, warned about red flags or scams in 7.5%, and told the buyer to verify credentials in 0%, averaging 270 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 0%, and framed the choice around local proximity in 27.5%; a selection-criteria checklist appeared in 30% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, ChatGPT is the assistant most likely to route an internet cafes buyer to a professional (15%) and Claude the least (7.5%). ChatGPT produced the longest answers, at 325 words on average. Specific providers were named most often by Gemini (35%) — even there, roughly one answer in 3 carried a name.

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

• Tells the buyer to verify credentials: 0% across all three models.
• Mentions case studies or portfolio: 0% across all three models.
• Recommends multiple quotes: 0% across all three models.
• Warns about red flags or scams: 5%–7.5% across all three (a 3-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 100% of questions) and least consistently on "asks a clarifying question" (30%).

Beyond whether to hire, the rubric codes how carefully each assistant protects the internet cafes buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 15.8% of answers on average. Verifying credentials or certifications appeared in 0%. Warning about red flags or scams appeared in 5.8%.

On structuring the decision, a selection-criteria checklist showed up in 35.8% of answers on average and a recommendation to gather multiple quotes in 0%. The single least-reproduced protective signal for internet cafes is "tells the buyer to verify credentials" 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.

The 40 questions behind every percentage on this page were drawn from real internet cafes (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 internet cafes 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.