REPOGEO REPORT · LITE
adysec/ARL
Default branch master · commit 733a3af5 · scanned 6/4/2026, 4:51:50 AM
GitHub: 889 stars · 296 forks
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.
- highreadme#1Reposition 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#2Expand topics with more specific asset reconnaissance terms
Why:
CURRENTarl, cyber-security, flask, fofa, python, scan, security, security-tools, shodan, tools
COPY-PASTE FIXarl, cyber-security, flask, fofa, python, scan, security, security-tools, shodan, tools, asset-discovery, asset-inventory, attack-surface-management, reconnaissance, vulnerability-management
- lowreadme#3Add 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.
- Shodan · recommended 2×
- Censys · recommended 2×
- projectdiscovery/subfinder · recommended 2×
- projectdiscovery/httpx · recommended 2×
- nmap/nmap · recommended 1×
- CATEGORY QUERYWhat tools help identify all internet-facing assets associated with a target organization?you: not recommendedAI recommended (in order):
- Shodan
- Censys
- subfinder (projectdiscovery/subfinder)
- httpx (projectdiscovery/httpx)
- Nmap (nmap/nmap)
- Amass (owasp-amass/amass)
- OSINT Framework
- Google Dorks
AI recommended 8 alternatives but never named adysec/ARL. This is the gap to close.
Show full AI answer
- CATEGORY QUERYSeeking a system to build an comprehensive internet asset inventory and identify potential attack surfaces.you: not recommendedAI recommended (in order):
- Shodan
- Censys
- CyCognito
- Randori
- Expanse by Palo Alto Networks
- Nmap
- Subfinder (projectdiscovery/subfinder)
- httpx (projectdiscovery/httpx)
- nuclei (projectdiscovery/nuclei)
- OpenVAS
- Greenbone Vulnerability Management (GVM)
- AWS Security Hub
- Azure Security Center
- 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 completenesspass
- README presencepass
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?passAI 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?passAI 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?passAI 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
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[](https://repogeo.com/en/r/adysec/ARL)<a href="https://repogeo.com/en/r/adysec/ARL"><img src="https://repogeo.com/badge/adysec/ARL.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
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