Original research · 2026-07 edition

AI SEO Statistics: Cafe (2026-07 edition)

15 questions · 45 AI responses · 3 models · measured 2026-07-04

See how AI talks about YOUR businessFull data table

The question bank

The questions we tested — sampled from real buyer journeys in cafe.

Each model answered every question once, same wording, same day. These are the prompts behind every percentage on this page.

Where is a good spot to host a casual 1-on-1 business meeting that isn't too noisy or crowded?
Is it actually worth paying extra for a cafe that roasts their own beans on-site?
How do I find a coffee shop that is actually laptop-friendly and has enough power outlets for a long session?
What are the tell-tale signs of a high-quality espresso bar versus a generic fast-food coffee place?
I want to organize a small weekend meetup; how many shops should I call to check for group seating?
Are there specific things I should ask a barista to see if they really know their craft and bean origins?
Is it considered rude to sit in a cafe for three hours if I only bought one medium drip coffee?
What is the average price for a bag of local craft coffee beans compared to standard grocery store brands?
Show all 15 questions
I need a cafe with a patio that allows dogs but also provides decent shade and Wi-Fi for working.
Why do some modern cafes charge a service fee on top of the tip and is that becoming the industry standard?
What is the best way to judge a cafe's food menu quality before I actually commit to going there?
I am looking for a place that serves authentic ceremonial grade matcha rather than just sugary pre-mixed lattes.
Should I trust online reviews that complain about slow service at a specialty coffee shop or is that just part of the process?
What are the red flags that a cafe is using low-quality or expired syrups and milk alternatives in their drinks?
How can I find a local cafe that regularly hosts community events like open mic nights or book clubs?

Model by model

17-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 cafe buyers.

Behavior rates across 15 cafe buyer questions, 2026-07 edition. Last column: average across models.
ChatGPTClaudeGeminiConsensus
Recommends hiring a professional7%7%7%100%
Suggests DIY first20%7%20%80%
Names specific providers13%13%33%67%
Gives price or cost info13%13%20%80%
Tells to check reviews40%20%13%53%
Tells to verify credentials13%0%0%87%
Mentions case studies / portfolio0%0%0%100%
Mentions local proximity53%27%33%53%
Gives selection criteria73%60%47%60%
Warns about red flags40%33%27%80%
Asks a clarifying question67%40%13%40%
Recommends multiple quotes7%7%0%87%

Methodology

A controlled snapshot, documented end to end.

15 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 2026-07-04, 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 →