RRepoGEO

REPOGEO REPORT · LITE

raphabot/awesome-cybersecurity-agentic-ai

Default branch main · commit 7c2dc31c · scanned 6/28/2026, 1:52:13 AM

GitHub: 502 stars · 95 forks

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
1 / 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 raphabot/awesome-cybersecurity-agentic-ai, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise description to the 'About' section

    Why:

    COPY-PASTE FIX
    A curated list of awesome resources, research, tools, and frameworks at the intersection of agentic AI and cybersecurity.
  • mediumhomepage#2
    Set the repository's homepage URL

    Why:

    COPY-PASTE FIX
    https://github.com/raphabot/awesome-cybersecurity-agentic-ai

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 raphabot/awesome-cybersecurity-agentic-ai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Microsoft Azure Sentinel with Azure Machine Learning
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Microsoft Azure Sentinel with Azure Machine Learning · recommended 2×
  2. Splunk Enterprise Security (ES) with Splunk UBA · recommended 1×
  3. Elastic Security with Machine Learning · recommended 1×
  4. IBM Security QRadar Advisor with Watson · recommended 1×
  5. Exabeam Security Management Platform (SMP) · recommended 1×
  • CATEGORY QUERY
    How can I leverage AI agents to automate cybersecurity analysis and threat detection?
    you: not recommended
    AI recommended (in order):
    1. Splunk Enterprise Security (ES) with Splunk UBA
    2. Microsoft Azure Sentinel with Azure Machine Learning
    3. Elastic Security with Machine Learning
    4. IBM Security QRadar Advisor with Watson
    5. Exabeam Security Management Platform (SMP)
    6. CrowdStrike Falcon Platform
    7. Darktrace Enterprise Immune System

    AI recommended 7 alternatives but never named raphabot/awesome-cybersecurity-agentic-ai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help integrate AI agents with existing cybersecurity frameworks for enhanced defense?
    you: not recommended
    AI recommended (in order):
    1. Splunk Enterprise Security (ES) with Splunk UBA (User Behavior Analytics)
    2. IBM Security QRadar with QRadar Advisor with Watson
    3. Microsoft Azure Sentinel with Azure Machine Learning
    4. Elastic Security (formerly Elastic SIEM) with Elastic Machine Learning
    5. Palo Alto Networks Cortex XSOAR (formerly Demisto)
    6. CrowdStrike Falcon Platform with Falcon Fusion

    AI recommended 6 alternatives but never named raphabot/awesome-cybersecurity-agentic-ai. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 raphabot/awesome-cybersecurity-agentic-ai?
    pass
    AI did not name raphabot/awesome-cybersecurity-agentic-ai — 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 raphabot/awesome-cybersecurity-agentic-ai in production, what risks or prerequisites should they evaluate first?
    pass
    AI named raphabot/awesome-cybersecurity-agentic-ai 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 raphabot/awesome-cybersecurity-agentic-ai solve, and who is the primary audience?
    pass
    AI did not name raphabot/awesome-cybersecurity-agentic-ai — 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?

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raphabot/awesome-cybersecurity-agentic-ai — 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