One buyer question per brand
The question a customer would actually type, not a keyword. Tracked as a topic, unchanged for the whole run.
Case studies
What AI actually says about real brands
We pick a household name, a question its buyers ask, and three AI assistants — then check every day for a week and publish everything that came back.
72 vs 70Walmart outscored Amazon across Gemini's seven answersAmazon vs Walmart in AI Answers: A 7-Day Study
We put one shopping question to ChatGPT, Gemini and Claude every day for a week. Amazon was named in all 21 answers — Gemini still scored Walmart higher.
Read the study →
23%share of voice, after finishing first in all 21 answersShopify in AI Answers: First Every Time, 23% Share
Seven days, three AI assistants, 21 answers. Shopify was named first in every one and still held just 23% share of voice. The full dataset, and why.
Read the study →Method
How every study on this page is run
The same four rules each time, so two studies can be compared with each other and not just read one at a time.
Three assistants, every day
ChatGPT, Gemini and Claude, each asked the raw question with no system prompt, each pinned to the tier a free-plan user really gets.
One judge, one scale
Every answer from every assistant is scored by the same model, so a Gemini number and a ChatGPT number belong in the same column.
Nothing illustrative
Every figure is recomputed from the stored answers by the same function that draws the dashboard. The screenshots are the real thing.
Run the same study
on your own brand.
One free check, no account — or track every buyer question daily across all three assistants.