RRepoGEO

REPOGEO REPORT · LITE

asaotomo/FofaMap

Default branch v2.0.0 · commit 6156752f · scanned 6/13/2026, 6:32:07 AM

GitHub: 673 stars · 88 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 asaotomo/FofaMap, 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 the README's core value proposition for AI agents

    Why:

    CURRENT
    # ✨ 一句话介绍
    > ❌ 它不是 FOFA 工具  
    ❌ 也不是 Nuclei 封装  
    ✅ 它是:**一个可以被 AI 接管、会自己反思、会自己决策扫描策略的「全网资产测绘智能体」**
    COPY-PASTE FIX
    FofaMap is an AI-driven red team asset mapping agent, designed for intelligent asset discovery and automated vulnerability scanning. It integrates natively with AI platforms via MCP protocol, featuring a self-reflecting AI mechanism for query optimization and smart Nuclei scan strategy recommendations.
  • mediumtopics#2
    Add more specific AI-related topics

    Why:

    CURRENT
    ai-agent, asset-mapping, fofa-api, fofamap, information-gathering-tools, mcp, mcp-protocol, nuclei-scan, python3, redteam, vulnerability-scanner
    COPY-PASTE FIX
    ai-agent, asset-mapping, fofa-api, fofamap, information-gathering-tools, mcp, mcp-protocol, nuclei-scan, python3, redteam, vulnerability-scanner, ai-security, generative-ai, intelligent-agent, self-reflecting-ai, automated-reconnaissance
  • lowreadme#3
    Add a 'Comparison with Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    ## 🆚 FofaMap vs. Traditional Tools
    
    Unlike traditional asset search engines (e.g., Shodan, Censys) or standalone vulnerability scanners (e.g., Nuclei), FofaMap is an **AI-driven agent**. It doesn't just collect data; it intelligently processes it, self-reflects to refine queries, and makes smart decisions on scanning strategies. While tools like Tenable.io or Qualys offer enterprise vulnerability management, FofaMap provides a flexible, open-source AI agent for red teams and security researchers to automate and enhance their reconnaissance and initial attack surface analysis.

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 asaotomo/FofaMap
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Tenable.io
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Tenable.io · recommended 1×
  2. Lumin · recommended 1×
  3. Exposure.ai · recommended 1×
  4. Qualys Cloud Platform · recommended 1×
  5. VMDR · recommended 1×
  • CATEGORY QUERY
    How can I use an AI agent for intelligent asset discovery and automated vulnerability scanning?
    you: not recommended
    AI recommended (in order):
    1. Tenable.io
    2. Lumin
    3. Exposure.ai
    4. Qualys Cloud Platform
    5. VMDR
    6. CyberSecurity Asset Management
    7. Wiz
    8. CrowdStrike Falcon Cloud Security
    9. Falcon Discover
    10. Microsoft Defender for Cloud
    11. Rapid7 InsightVM
    12. InsightCloudSec
    13. Orca Security

    AI recommended 13 alternatives but never named asaotomo/FofaMap. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a self-reflecting asset reconnaissance tool that integrates with AI assistants.
    you: not recommended
    AI recommended (in order):
    1. Nuclei
    2. Shodan
    3. Censys
    4. naabu
    5. httpx
    6. Maltego
    7. TheHarvester
    8. SpiderFoot

    AI recommended 8 alternatives but never named asaotomo/FofaMap. 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 asaotomo/FofaMap?
    pass
    AI named asaotomo/FofaMap explicitly

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

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

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite