Who AI recommends for code review tools
The brands ChatGPT name most often when buyers ask about code review tools — ranked from our live query–domain index.
For code review tools, ChatGPT most often recommends github.com, sonarsource.com, snyk.io, among others. This is measured from 52 real buyer queries in this category that we’ve run through the models and recorded which domains they cite. The ranking below is by how many of those queries name each domain — not a subjective score. Coverage shown reflects the models we currently scan (ChatGPT); it refreshes as the index grows.
Which brands does AI recommend for code review tools?
Each row is a domain the models named in answer to a code review tools buyer question, ranked by how many distinct queries cite it. “Share” is that count over the 52 scanned queries in the category.
| # | Domain | Queries citing it | Share | Models |
|---|---|---|---|---|
| 1 | github.com | 47 | 90% | ChatGPT |
| 2 | sonarsource.com | 45 | 87% | ChatGPT |
| 3 | snyk.io | 39 | 75% | ChatGPT |
| 4 | codacy.com | 31 | 60% | ChatGPT |
| 5 | coderabbit.ai | 30 | 58% | ChatGPT |
| 6 | gitlab.com | 30 | 58% | ChatGPT |
| 7 | semgrep.dev | 29 | 56% | ChatGPT |
| 8 | reviewboard.org | 23 | 44% | ChatGPT |
| 9 | atlassian.com | 22 | 42% | ChatGPT |
| 10 | bitbucket.org | 22 | 42% | ChatGPT |
| 11 | gerritcodereview.com | 21 | 40% | ChatGPT |
| 12 | github.io | 18 | 35% | ChatGPT |
| 13 | deepsource.com | 17 | 33% | ChatGPT |
| 14 | amazon.com | 16 | 31% | ChatGPT |
| 15 | phacility.com | 16 | 31% | ChatGPT |
| 16 | veracode.com | 15 | 29% | ChatGPT |
| 17 | aicodereview.cc | 13 | 25% | ChatGPT |
| 18 | bito.ai | 13 | 25% | ChatGPT |
| 19 | sonarcloud.io | 13 | 25% | ChatGPT |
| 20 | checkmarx.com | 11 | 21% | ChatGPT |
Sample code review tools queries behind this ranking
A few of the real buyer questions in this category. The full query list, with the domains named in each answer, is what the free Domain Check returns for any domain.
- ai powered code review tools — commercial
- code review tools — informational
- review code tools — informational
- tools code review — informational
- tools for code review — informational
- ai code review tools — commercial
- code review tools for git — informational
- code review tools for github — commercial
How is this measured?
We continuously run real buyer questions through the AI assistants we scan, record the domains each answer cites, and store the query–domain links in an index. This page reads that index by category. Numbers are live and dated, not estimates — see the methodology for sample sizes, model coverage and caveats. To see where your domain stands in code review tools, run the free Domain Check.