Which indoor cycling brands does AI recommend?
01What we found
02The AI shortlist
How often AI names each brand when UK shoppers ask unbranded questions, averaged across six engines. The bracket on each bar shows the 95% range.
Share of answers that name the brand, with its rank range underneath
A one-page card with the brand's rate on each engine, the buying moments it wins and loses, the sites that decide its category and its nearest rival.
03Six engines, six shortlists
Every dot is one engine. They agree on the leaders and split hard on the challengers, so a brand's AI visibility depends on where its buyers ask.
04Ask twice, get a different answer
We asked every question three times. The engines rarely gave the same shortlist twice, which is why a one-off check of where you rank in ChatGPT misleads.
Gradient chips appeared in all three runs. Grey chips came and went.
Same brands in all three runs
Share of questions where an engine named exactly the same brands every time
Google AI Overviews
How often an overview appeared at all
05Who wins which buying moment
Every question is tagged with the moment behind it. Bigger, brighter circles mean AI names that brand more often for that kind of question.
06Who AI listens to
The sites cited most across all answers. Circle size is the share of answers that cite the site. Cycling media dominates, while Reddit and YouTube barely register.
Source mix by category
Share of all citations, by type of site
07Every question
All 309 questions. Open one to see which brands each engine named across three runs, and the sites they cited.