AI coding assistants
Editor copilots and agentic coding tools that write, edit and review code. Which ones do AI engines actually name when buyers ask?
60 answers · 10 buyer questions · 3 engines
First snapshot — movement appears next week
Only 6 of the top 10 are sourced from their own site. The other 4 are described to buyers by third-party pages.
Third-party sources: pecollective.com (Windsurf) · augmentcode.com (Tabnine) · kilo.ai (Continue) · stork.ai (Cody)
| # | Product | Named in answers | Page engines cite for it |
|---|---|---|---|
| 1 | 77% ±10 46/60 | ||
| 2 | 72% ±11 43/60 | ||
| 3 | 48% ±12 29/60 | ||
| 4 | 33% ±12 20/60 | ||
| 5 | 18% ±10 11/60 | ||
| 6 | 17% ±9 10/60 | ||
| 7 | 13% ±9 8/60 | ||
| 8 | 13% ±9 8/60 | ||
| 9 | 13% ±9 8/60 | ||
| 10 | 13% ±9 8/60 | ||
| 11 | 12% ±8 7/60 | ||
| 12 | 10% ±8 6/60 |
“Named” is the share of the 60 answers that recommend the product by name, with a 95% interval — read #12 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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