RRepoGEO

REPOGEO REPORT · LITE

zakirkun/deep-eye

Default branch main · commit 9fcdf38f · scanned 5/16/2026, 7:56:54 AM

GitHub: 1,453 stars · 274 forks

AI VISIBILITY SCORE
28 /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
2 / 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 zakirkun/deep-eye, 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
    vulnerability-scanner, penetration-testing, ai-security, bug-hunting, cybersecurity, ollama, openai, claude, grok, security-testing
  • mediumhomepage#2
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://github.com/zakirkun/deep-eye
  • lowreadme#3
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    Add a section or line in the README, for example: '## License
    This project is licensed under [describe the existing license(s) or point to the LICENSE file for details].'

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 zakirkun/deep-eye
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Invicti
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Invicti · recommended 2×
  2. Acunetix · recommended 2×
  3. AppScan · recommended 2×
  4. Veracode · recommended 2×
  5. Detectify · recommended 1×
  • CATEGORY QUERY
    What are the best AI-powered tools for automated vulnerability scanning and penetration testing?
    you: not recommended
    AI recommended (in order):
    1. Invicti
    2. Acunetix
    3. AppScan
    4. Detectify
    5. Veracode
    6. ImmuniWeb
    7. Greenbone Vulnerability Management

    AI recommended 7 alternatives but never named zakirkun/deep-eye. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a comprehensive security scanner with multi-AI support for intelligent payloads and reporting.
    you: not recommended
    AI recommended (in order):
    1. Invicti
    2. Acunetix
    3. AppScan
    4. Burp Suite Enterprise Edition
    5. OWASP ZAP (zaproxy/zaproxy)
    6. Veracode

    AI recommended 6 alternatives but never named zakirkun/deep-eye. 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 zakirkun/deep-eye?
    pass
    AI did not name zakirkun/deep-eye — likely talking about a different project

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

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

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

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zakirkun/deep-eye — 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