RRepoGEO

REPOGEO REPORT · LITE

lintsinghua/DeepAudit

Default branch v3.0.0 · commit 6a99a076 · scanned 6/23/2026, 1:46:26 AM

GitHub: 6,462 stars · 802 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 lintsinghua/DeepAudit, 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
  • highreadme#1
    Add a clear English introductory paragraph to the README

    Why:

    COPY-PASTE FIX
    DeepAudit is the first open-source **multi-agent AI system** designed for **code vulnerability discovery** and **automated PoC verification**. It empowers anyone to deploy an AI hacker team for comprehensive security auditing, supporting private LLM deployment (Ollama) and one-click report generation. Make security affordable and auditing simple.
  • mediumtopics#2
    Add specific topics for multi-agent systems and PoC verification

    Why:

    CURRENT
    ai, bug-detection, code-audit, code-quality, code-review, developer-tools, devsecops, google-gemini, llm, react, sast, security-scanner, supabase, typescript, vite, vulnerability-scanner, xai
    COPY-PASTE FIX
    ai, bug-detection, code-audit, code-quality, code-review, developer-tools, devsecops, google-gemini, llm, react, sast, security-scanner, supabase, typescript, vite, vulnerability-scanner, xai, multi-agent-system, poc-verification, code-vulnerability, security-auditing
  • lowhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://deepwiki.com/lintsinghua/DeepAudit

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 lintsinghua/DeepAudit
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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Snyk Code · recommended 1×
  2. GitHub Advanced Security (CodeQL) · recommended 1×
  3. Checkmarx SAST (CxSAST) · recommended 1×
  4. SonarQube · recommended 1×
  5. SonarCloud · recommended 1×
  • CATEGORY QUERY
    Need an AI-powered tool to automatically detect security vulnerabilities in my source code.
    you: not recommended
    AI recommended (in order):
    1. Snyk Code
    2. GitHub Advanced Security (CodeQL)
    3. Checkmarx SAST (CxSAST)
    4. SonarQube
    5. SonarCloud
    6. SonarLint
    7. Veracode Static Analysis
    8. HCL AppScan Static Analyzer
    9. DeepCode AI

    AI recommended 9 alternatives but never named lintsinghua/DeepAudit. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source solutions offer automated security auditing and PoC verification for code?
    you: not recommended
    AI recommended (in order):
    1. OWASP ZAP (zaproxy/zaproxy)
    2. Bandit (PyCQA/bandit)
    3. Semgrep (returntocorp/semgrep)
    4. Grype (anchore/grype)
    5. TruffleHog (trufflesecurity/trufflehog)
    6. Nuclei (projectdiscovery/nuclei)
    7. Dependency-Track (DependencyTrack/dependency-track)

    AI recommended 7 alternatives but never named lintsinghua/DeepAudit. 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 lintsinghua/DeepAudit?
    pass
    AI named lintsinghua/DeepAudit explicitly

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

  • If a team adopts lintsinghua/DeepAudit in production, what risks or prerequisites should they evaluate first?
    pass
    AI named lintsinghua/DeepAudit 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 lintsinghua/DeepAudit solve, and who is the primary audience?
    pass
    AI named lintsinghua/DeepAudit explicitly

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

Embed your GEO score

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lintsinghua/DeepAudit — 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
lintsinghua/DeepAudit — RepoGEO report