UI design tools
Interface design and collaboration tools for product teams. Which ones do AI engines actually name when buyers ask?
60 answers · 10 buyer questions · 3 engines
First snapshot — movement appears next week
designsystem.tools is the page engines cite for 2 of the top 10 — and isn’t on the board at all.
Sources for: Tokens Studio, Supernova. 5 of the top 10 are sourced from their own site.
| # | Product | Named in answers | Page engines cite for it |
|---|---|---|---|
| 1 | 75% ±11 45/60 | ||
| 2 | 52% ±12 31/60 | ||
| 3 | 28% ±11 17/60 | ||
| 4 | 18% ±10 11/60 | ||
| 5 | 17% ±9 10/60 | ||
| 6 | 15% ±9 9/60 | ||
| 7 | 12% ±8 7/60 | ||
| 8 | 12% ±8 7/60 | ||
| 9 | 10% ±8 6/60 | ||
| 10 | 10% ±8 6/60 |
“Named” is the share of the 60 answers that recommend the product by name, with a 95% interval — read #10 as “a handful of answers”, not a position. “Own site cited” is the share where the product’s own domain was a source. The page column is where the engines actually got their answer — attributed per product, from the citation the answer attaches to it.
Every week we ask 10 buyer questions to 3 engines, multiple runs each, through their official APIs. Products are extracted from the answers themselves and folded to one row per product (plans and tiers are not separate products). Products under 6 answers sit in “also named” — their positions aren’t distinguishable on this sample.
No sponsored rows, featured slots or paid placements — ever. The only way up is to be the answer. Run the check on your domain to see which answers you’re missing from, and why.
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