Open Source Vulnerabilities, Precisely Mapped
OSV (osv.dev) scores 72 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Technology brands, SaaS brands, in the 29th percentile of 46533 Technology brands.
OSV (osv.dev) is an open, distributed vulnerability database focused on open source software. It provides a standardized, machine-readable schema that maps security vulnerabilities to specific open source package versions or commit hashes. Aggregating data from multiple trusted sources, OSV is built on the OpenSSF OSV format and is designed for open source maintainers, developers, and security teams seeking to identify and manage vulnerabilities in their dependencies.
| Brand Name | OSV |
|---|---|
| Domain | osv.dev |
| Industry | Technology, SaaS |
| Main Competitors | GitHub Advisory Database (83/100), Snyk (87/100), Sonatype OSS Index, National Vulnerability Database (NVD), Mend (WhiteSource) (85/100), Aqua Security (Trivy) (88/100) |
Moz Domain Authority 43/100 vs category average 40 / leader 100 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #27,401 on the Tranco list of most-visited sites - strong traffic reinforces the brand's prominence to AI models.
No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.
The homepage meta description reads "Comprehensive vulnerability database for your open source projects and dependencies." (Meta description: 10 words (ideal length). No OG description (falling back to meta)) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: No structured data or Open Graph tags detected. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Social footprint: verified profiles on GitHub, X (Twitter), LinkedIn, Instagram, YouTube; no detected presence on Facebook - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked October 2026.
When asked "What is OSV?", Claude could identify the brand as of October 2026. OSV (Open Source Vulnerabilities) is a database and infrastructure project for tracking security vulnerabilities in open source software, backed by Google. It provides a standardized schema and API that package ecosystems and security tools can use to query known vulnerabilities Best known for Being a unified, open database and schema for open source vulnerability information used across ecosystems like PyPI, npm, Go, and more.
When asked "Best brands similar to OSV?", Claude would recommend OSV as of October 2026. It's a widely used and referenced resource in the open source security and supply chain space, so it would naturally come up alongside tools like Snyk, Dependabot, or GitHub Advisory Database.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
OSV's main competitors in Technology: GitHub Advisory Database (83/100), Snyk (87/100), Mend (WhiteSource) (85/100), Aqua Security (Trivy) (88/100).
Sources: Brand Analyzer scan
OSV offers a vulnerability database service for open source projects and dependencies, featuring a standardized, machine-readable vulnerability schema (the OSV format) that maps security issues to specific package versions or commit hashes. It aggregates and distributes vulnerability data from multiple trusted sources for use by developers and security tools.
Sources: OSV official site
OSV is a comprehensive, open vulnerability database for open source projects and their dependencies. It is built on the OpenSSF OSV format and aims to provide a precise, distributed, and machine-readable source of vulnerability information for the open source ecosystem.
Sources: OSV official site
OSV has limited AI-search visibility, scoring 33/100 on Brand Analyzer's AI visibility composite (visibility 27, trust 19, recommendation 59). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: OSV official site
OSV aggregates vulnerability data from multiple trusted sources into a single distributed database, using a standardized schema to map vulnerabilities to specific open source package versions or commit hashes. This allows developers and security teams to identify and track vulnerabilities affecting their open source dependencies.
Sources: OSV official site
OSV scores 59/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Technology options. Recommendation depends on crawlability, structured data, and category authority.
Sources: OSV official site
OSV is known for its standardized, machine-readable vulnerability schema that precisely links security issues to open source package versions or commit hashes, and for aggregating vulnerability data from multiple trusted sources into one open, distributed database built on the OpenSSF OSV format.
Sources: OSV official site
OSV can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: OSV official site
OSV is used by open source maintainers, software developers, and security teams who need to identify, track, and manage vulnerabilities in open source projects and their dependencies.
Sources: OSV official site
OSV scores 33/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
OSV has a weak AI-visibility profile at 33/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (59/100) and its weakest is trust (19/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #27,401 (Tranco) and a Moz Domain Authority of 43/100. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify OSV from memory (October 2026) - a sign these signals are paying off.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
Ranked closest to OSV: OSG (オーエスジー) (72/100), Originator (72/100), Ottu (72/100), Outreach Labs (72/100).
A step up - brands to learn from: Zymo Research (81/100), Zurich Italia (81/100).
Category leader: Hostinger (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.