RRepoGEO

REPOGEO REPORT · LITE

vercel-labs/deepsec

Default branch main · commit 1475c461 · scanned 5/8/2026, 4:31:41 AM

GitHub: 1,696 stars · 98 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface vercel-labs/deepsec, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    security, vulnerability-scanner, ai, agent-based, code-security, static-analysis, deep-learning, vercel-labs
  • highreadme#2
    Strengthen README's opening sentence to emphasize AI/agent-powered nature

    Why:

    CURRENT
    # deepsec `deepsec` an agent-powered vulnerability scanner that you can run in your own infrastructure, optimized to perform on-demand review of all code in existing large-scale repos.
    COPY-PASTE FIX
    # deepsec `deepsec` is an **AI-powered, agent-based vulnerability scanner** that leverages deep learning to find hard-to-detect security issues in large codebases, designed to run in your own infrastructure.
  • mediumreadme#3
    Explicitly mention underlying AI technology in README

    Why:

    COPY-PASTE FIX
    Add a sentence to the introductory section, perhaps after the first paragraph, like: "It leverages advanced deep learning models, such as transformer models like CodeBERT, for contextual analysis to detect subtle and hard-to-find vulnerabilities."

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface vercel-labs/deepsec
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Snyk Code
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Snyk Code · recommended 2×
  2. Veracode Static Analysis · recommended 2×
  3. GitHub Advanced Security · recommended 1×
  4. CodeQL · recommended 1×
  5. GitHub Copilot · recommended 1×
  • CATEGORY QUERY
    Need a tool to identify deep security vulnerabilities in a large existing codebase with AI.
    you: not recommended
    AI recommended (in order):
    1. GitHub Advanced Security
    2. CodeQL
    3. GitHub Copilot
    4. Snyk Code
    5. Checkmarx SAST
    6. HCL AppScan Source
    7. Veracode Static Analysis
    8. DeepCode AI

    AI recommended 8 alternatives but never named vercel-labs/deepsec. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an advanced agent-based scanner for thorough and on-demand code security reviews.
    you: not recommended
    AI recommended (in order):
    1. Snyk Code
    2. Checkmarx SAST (CxSAST)
    3. Veracode Static Analysis
    4. SonarQube
    5. SonarSource's Security Hotspots
    6. Security Vulnerabilities
    7. Fortify Static Code Analyzer (SCA)

    AI recommended 7 alternatives but never named vercel-labs/deepsec. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of vercel-labs/deepsec?
    pass
    AI named vercel-labs/deepsec explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts vercel-labs/deepsec in production, what risks or prerequisites should they evaluate first?
    pass
    AI named vercel-labs/deepsec explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo vercel-labs/deepsec solve, and who is the primary audience?
    pass
    AI named vercel-labs/deepsec explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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vercel-labs/deepsec — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite