Snyk provides developer-focused security tools that identify and remediate vulnerabilities in open-source dependencies, container images, infrastructure as code, and proprietary application code.
Four signals AI engines weigh when deciding which sources to cite.
AI cites Snyk on 36.0% of the questions where Snyk's site shows up.
When cited, Snyk ranks #2.4 on average in AI's source list. Lower number means higher up.
Snyk captures 22.6% of the search traffic across topics it could answer.
Search demand for Snyk's topics is down 47% over the last 3 months.
Top 10 questions where AI cites Snyk as a source, sorted by monthly volume.
"It’s not that you should *never* use `localStorage`-it’s that people often misuse it for things it’s bad at. The main issues fall into three buckets: **security, performance, and control**. --- ## 🔐 1. Security is the biggest problem `lo…"
"“Licenses” are basically permissions-legal approval to do something that would otherwise be restricted. They come in different categories depending on context (government, business, software, etc.). [www.law.cornell.edu](https://www.law.cor…"
"Here’s a comprehensive breakdown of the **skills hackers - especially ethical hackers (white-hat cybersecurity professionals) - need** to be effective and successful. Much of this comes from expert guides on cybersecurity and ethical hackin…"
"A **lockfile** (like `package-lock.json`, `yarn.lock`, `Pipfile.lock`, etc.) exists to make sure your project installs **exactly the same dependencies every time**, no matter where or when it’s installed. Here’s the core idea: --- ## 🔑 …"
"Short answer: you *can* use `localStorage`, but there are important reasons you often **shouldn’t rely on it-especially for anything sensitive**. Here’s the real breakdown (not just “it’s bad,” but *why* 👇) --- # 🚨 1. It’s **not secure…"
"The **Log4j vulnerability**-often referred to as **Log4Shell** (CVE-2021-44228)-was a *critical* security flaw in the widely used Apache **Log4j** Java logging library. Because Log4j is embedded in millions of applications, services, and de…"
"Scanning code for vulnerabilities is a core part of **application security (AppSec)**. The short answer: you combine **automated tools + manual review + secure practices**. Here’s a clear, practical breakdown. --- # 🔍 1. Main ways to sca…"
"Short answer: **PKCS#7 itself isn’t exactly “deprecated,” but it *is obsolete and superseded***. Here’s the nuance: ### 1. The standard itself - PKCS #7 is an older spec (RFC 2315, 1998). - It has been **replaced by CMS (Cryptographic Mes…"
"Snyk is headquartered in **Boston, Massachusetts, United States**. [en.wikipedia.org](https://en.wikipedia.org/wiki/Snyk?utm_source=chatgpt.com) More specifically, its main office is located at **100 Summer Street in Boston**. [snyk.io](…"
"Here’s a breakdown of **how much Snyk costs** (approximate and typical pricing as of 2026): ### 💸 Snyk Pricing Overview **1. Free Plan** - $0 per contributing developer. - Good for **individual developers** or **small open-source pro…"
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 |
| JFrog | 41 | 37.0% | 17 / 46 | 666 |
| Snyk | 34 | 36.0% | 32 / 89 | 1,738 |
Citation-weighted search volume over time.
Yes, Snyk is cited in AI search results. It has been mentioned in 32 of the 89 tracked queries.
Snyk's AI visibility score is 34 out of 100. This score reflects its presence and recognition in AI search results.
AI cites Snyk for various questions, including 'why shouldn't we use localstorage?', 'what are common types of licenses?', and 'what is the purpose of a lockfile?'. These queries relate to application security and developer practices.
Snyk's AI visibility score of 34 is lower than its competitors, such as Contrast Security with a score of 50, Invicti at 45, and JFrog at 41. This indicates that Snyk has less recognition in AI search compared to these brands.
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.
Read full methodology →Discover your AI visibility gaps and start capturing millions of new product discovery clicks.
