RRepoGEO

REPOGEO REPORT · LITE

adysec/ARL

Default branch master · commit 733a3af5 · scanned 6/4/2026, 4:51:50 AM

GitHub: 889 stars · 296 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 adysec/ARL, 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
    Reposition README opening to clearly state project purpose in English

    Why:

    CURRENT
    ## ARL(Asset Reconnaissance Lighthouse)资产侦察灯塔系统
    <a href="https://github.com/adysec/ARL/stargazers"></a>
    <a href="https://github.com/adysec/ARL/network/members"></a>
    <a href="https://github.com/adysec/ARL/issues"></a>
    
    ARL资产侦察灯塔系统备份项目,**已跑通**
    
    ### 简介
    旨在快速侦察与目标关联的互联网资产,构建基础资产信息库。
    协助甲方安全团队或者渗透测试人员有效侦察和检索资产,发现存在的薄弱点和攻击面。
    COPY-PASTE FIX
    ## ARL(Asset Reconnaissance Lighthouse)资产侦察灯塔系统
    ARL (Asset Reconnaissance Lighthouse) is a comprehensive system designed for rapid internet asset reconnaissance. It helps security teams and penetration testers build an asset information library, identify associated assets, and discover potential attack surfaces.
    
    <a href="https://github.com/adysec/ARL/stargazers"></a>
    <a href="https://github.com/adysec/ARL/network/members"></a>
    <a href="https://github.com/adysec/ARL/issues"></a>
    
    ARL资产侦察灯塔系统备份项目,**已跑通**
    
    ### 简介
    旨在快速侦察与目标关联的互联网资产,构建基础资产信息库。
    协助甲方安全团队或者渗透测试人员有效侦察和检索资产,发现存在的薄弱点和攻击面。
  • mediumtopics#2
    Expand topics with more specific asset reconnaissance terms

    Why:

    CURRENT
    arl, cyber-security, flask, fofa, python, scan, security, security-tools, shodan, tools
    COPY-PASTE FIX
    arl, cyber-security, flask, fofa, python, scan, security, security-tools, shodan, tools, asset-discovery, asset-inventory, attack-surface-management, reconnaissance, vulnerability-management
  • lowreadme#3
    Add a 'Key Features' section to the README

    Why:

    COPY-PASTE FIX
    ### Key Features
    
    - **Rapid Asset Discovery:** Quickly identifies internet-facing assets associated with a target organization.
    - **Comprehensive Asset Inventory:** Builds a foundational database of asset information.
    - **Attack Surface Identification:** Helps pinpoint weak points and potential attack vectors.
    - **Integrated Scanning Tools:** Leverages and updates tools like Nmap and Nuclei for enhanced reconnaissance.
    - **Extensible Fingerprint Database:** Includes and allows updates for various fingerprint libraries (eHole, FingerprintHub).

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 adysec/ARL
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Shodan
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Shodan · recommended 2×
  2. Censys · recommended 2×
  3. projectdiscovery/subfinder · recommended 2×
  4. projectdiscovery/httpx · recommended 2×
  5. nmap/nmap · recommended 1×
  • CATEGORY QUERY
    What tools help identify all internet-facing assets associated with a target organization?
    you: not recommended
    AI recommended (in order):
    1. Shodan
    2. Censys
    3. subfinder (projectdiscovery/subfinder)
    4. httpx (projectdiscovery/httpx)
    5. Nmap (nmap/nmap)
    6. Amass (owasp-amass/amass)
    7. OSINT Framework
    8. Google Dorks

    AI recommended 8 alternatives but never named adysec/ARL. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a system to build an comprehensive internet asset inventory and identify potential attack surfaces.
    you: not recommended
    AI recommended (in order):
    1. Shodan
    2. Censys
    3. CyCognito
    4. Randori
    5. Expanse by Palo Alto Networks
    6. Nmap
    7. Subfinder (projectdiscovery/subfinder)
    8. httpx (projectdiscovery/httpx)
    9. nuclei (projectdiscovery/nuclei)
    10. OpenVAS
    11. Greenbone Vulnerability Management (GVM)
    12. AWS Security Hub
    13. Azure Security Center
    14. Google Cloud Security Command Center

    AI recommended 14 alternatives but never named adysec/ARL. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 adysec/ARL?
    pass
    AI named adysec/ARL explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of adysec/ARL. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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adysec/ARL — 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