Who AI recommends
when your buyers ask.
Every day we ask five AI platforms the questions buyers actually type before they shortlist a vendor, then count who gets named. These are the answers, by category.
387 answers
438 answers
382 answers
384 answers
378 answers
398 answers
381 answers
373 answers
389 answers
382 answers
377 answers
388 answers
363 answers
380 answers
358 answers
385 answers
373 answers
379 answers
434 answers
378 answers
376 answers
381 answers
428 answers
Every figure here is a 7-day mean. One day of a category is 10 questions across 5 platforms, and a share measured on that sample carries roughly 15 points of noise, so a single day is not a company's number and day-over-day movement is not a trend. The 7d column compares the last 7 days against the 7 before them, and stays blank until a category has both. A company needs a 1% share over the window to be ranked at all, which keeps a single stray mention off the board.
Each category carries a fixed set of 10 buyer questions. Every day we ask all of them on ChatGPT, Claude, Gemini, Perplexity and Google AI Overviews, then count how often each company is named and how often its domain is cited as a source. Share is the percentage of answers that name a company, so a category where the AI recommends several vendors at once sums past 100.
Read the full method →