RRepoGEO

REPOGEO REPORT · LITE

arm/metis

Default branch main · commit 746c42f4 · scanned 6/15/2026, 8:26:32 PM

GitHub: 685 stars · 100 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 arm/metis, 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 improve categorization

    Why:

    COPY-PASTE FIX
    security, code-review, sast, ai, llm, vulnerability-detection, static-analysis
  • highreadme#2
    Clarify README's initial positioning to explicitly counter misinterpretations

    Why:

    CURRENT
    Metis is an open-source, agentic AI security framework for deep security code review, created by Arm's Product Security Team.
    COPY-PASTE FIX
    Metis is an open-source, agentic AI security framework for deep security code review, created by Arm's Product Security Team. **It is specifically designed for software security analysis and is not related to Arm hardware or machine learning optimization.**
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://your-project-homepage-url.com

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 arm/metis
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Veracode Static Analysis
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Veracode Static Analysis · recommended 2×
  2. returntocorp/semgrep · recommended 1×
  3. github/codeql · recommended 1×
  4. DeepCode AI · recommended 1×
  5. ShiftLeft Inspect · recommended 1×
  • CATEGORY QUERY
    What AI-powered tools can find subtle security vulnerabilities in complex codebases?
    you: not recommended
    AI recommended (in order):
    1. Semgrep (returntocorp/semgrep)
    2. CodeQL (github/codeql)
    3. DeepCode AI
    4. ShiftLeft Inspect
    5. Veracode Static Analysis
    6. Checkmarx SAST

    AI recommended 6 alternatives but never named arm/metis. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an intelligent code review assistant to improve secure coding and reduce manual effort.
    you: not recommended
    AI recommended (in order):
    1. Snyk Code
    2. GitHub Advanced Security (CodeQL)
    3. SonarQube (SonarSource/sonarqube)
    4. Checkmarx SAST (CxSAST)
    5. Veracode Static Analysis

    AI recommended 5 alternatives but never named arm/metis. 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 arm/metis?
    pass
    AI named arm/metis explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite