Research
We ask AI assistants the questions buyers ask, every week, and test what we believe against a threshold set before the data. Each finding says what would have proved it wrong.
Why does AI recommend what it recommends?
- AI removes friction and creates inertia, because its shortlist becomes the default. Test 1 collecting
- AI recommendations are predictable from the sources behind them. Test 2 collecting
- AI will always try to personalise. Test 7 collecting
What do AI recommendations do to people?
- AI removes friction and creates inertia, because its shortlist becomes the default. Test 3 collecting
- A higher relative index leads to higher demand. Test 5 collecting
What changes what AI recommends?
Not yet public.
The tests and what would disprove each → · How the data is collected →
Want to know how AI assistants treat your brand?
Run a test on your own brand