Semgrep is a static analysis security testing (SAST) tool that allows users to write custom rules to detect and remediate vulnerabilities in source code. It supports multiple programming languages and integrates into CI/CD pipelines to identify security issues during development.
Four signals AI engines weigh when deciding which sources to cite.
AI cites Semgrep on 20.0% of the questions where Semgrep's site shows up.
When cited, Semgrep ranks #2.0 on average in AI's source list. Lower number means higher up.
Semgrep captures 16.3% of the search traffic across topics it could answer.
Search demand for Semgrep's topics is down 70% over the last 3 months.
Top 1 questions where AI cites Semgrep as a source, sorted by monthly volume.
"A “SAML response error” is a broad category-unfortunately the error messages are often vague. The fix depends on *what exactly is wrong in the SAML response*, but most issues fall into a few predictable buckets. Here’s a practical way to t…"
Subcategory peers; see methodology for selection logic.
| Brand | Score | Citation rate | Cited / tracked | Monthly volume |
|---|---|---|---|---|
| Contrast Security | 50 | 50.0% | 6 / 12 | 206 |
| Invicti | 45 | 44.4% | 16 / 36 | 534 |
| Semgrep | 27 | 20.0% | 1 / 5 | 86 |
| Checkmarx | 23 | 23.1% | 3 / 13 | 257 |
Citation-weighted search volume over time.
Visibility score blends four signals: how often AI cites the brand as a source (50%), where it ranks among sources (25%), the search volume of cited questions (20%), and a 3-month vs 3-month trend (5%). Score is on a 0–100 scale.
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