RRepoGEO

REPOGEO REPORT · LITE

fr0gger/Awesome-GPT-Agents

Default branch main · commit 96939443 · scanned 5/20/2026, 6:46:50 PM

GitHub: 6,517 stars · 735 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 fr0gger/Awesome-GPT-Agents, 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 opening paragraph to clarify its nature as a curated list

    Why:

    CURRENT
    The "Awesome GPTs (Agents) Repo" represents an initial effort to compile a comprehensive list of GPT agents focused on cybersecurity (offensive and defensive), created by the community.
    COPY-PASTE FIX
    This is a curated, community-driven list of open-source GPT agents specifically designed for cybersecurity operations (offensive and defensive). It serves as a central hub for discovering and exploring AI agents built by the community to enhance security tasks.
  • mediumabout#2
    Add the repository URL as the homepage in the About section

    Why:

    COPY-PASTE FIX
    https://github.com/fr0gger/Awesome-GPT-Agents
  • lowtopics#3
    Add 'awesome-list' to the repository topics

    Why:

    CURRENT
    agents, cybersecurity, infosec, llm
    COPY-PASTE FIX
    agents, cybersecurity, infosec, llm, awesome-list

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 fr0gger/Awesome-GPT-Agents
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
CrowdStrike Falcon Insight XDR
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. CrowdStrike Falcon Insight XDR · recommended 1×
  2. Darktrace Enterprise Immune System · recommended 1×
  3. SentinelOne Singularity Platform · recommended 1×
  4. Microsoft Defender for Endpoint · recommended 1×
  5. Splunk Enterprise Security (ES) with Machine Learning Toolkit · recommended 1×
  • CATEGORY QUERY
    What AI-powered tools assist with offensive and defensive cybersecurity operations?
    you: not recommended
    AI recommended (in order):
    1. CrowdStrike Falcon Insight XDR
    2. Darktrace Enterprise Immune System
    3. SentinelOne Singularity Platform
    4. Microsoft Defender for Endpoint
    5. Splunk Enterprise Security (ES) with Machine Learning Toolkit
    6. OpenAI GPT-4
    7. Metasploit Framework
    8. Palo Alto Networks Cortex Xpanse
    9. HackerOne
    10. Bugcrowd

    AI recommended 10 alternatives but never named fr0gger/Awesome-GPT-Agents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find a curated list of large language model agents for information security?
    you: not recommended
    AI recommended (in order):
    1. Gryphon
    2. OpenAI's GPT models
    3. Microsoft Security Copilot
    4. Google Scholar
    5. Semantic Scholar
    6. Black Hat
    7. DEF CON
    8. USENIX Security
    9. IEEE S&P
    10. CrowdStrike
    11. Palo Alto Networks
    12. Microsoft
    13. Google Cloud
    14. IBM Security
    15. Reddit
    16. TechCrunch
    17. The Hacker News
    18. Dark Reading
    19. ZDNET

    AI recommended 19 alternatives but never named fr0gger/Awesome-GPT-Agents. 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 fr0gger/Awesome-GPT-Agents?
    pass
    AI did not name fr0gger/Awesome-GPT-Agents — 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 fr0gger/Awesome-GPT-Agents in production, what risks or prerequisites should they evaluate first?
    pass
    AI named fr0gger/Awesome-GPT-Agents 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 fr0gger/Awesome-GPT-Agents solve, and who is the primary audience?
    pass
    AI named fr0gger/Awesome-GPT-Agents 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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MARKDOWN (README)
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fr0gger/Awesome-GPT-Agents — 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