RRepoGEO

REPOGEO REPORT · LITE

CuriousLearnerDev/Online_tools

Default branch master · commit 46acc07b · scanned 5/26/2026, 2:46:50 AM

GitHub: 1,029 stars · 98 forks

AI VISIBILITY SCORE
23 /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
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 CuriousLearnerDev/Online_tools, 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
  • highreadme#1
    Reposition the README's opening to clearly state the project's purpose

    Why:

    COPY-PASTE FIX
    Add a concise opening paragraph to the README, before the download section, that clearly states: 'CuriousLearnerDev/Online_tools is an AI-powered platform designed for cybersecurity operations, security auditing, and research. It functions as a centralized hub for downloading, updating, and automating the installation of various security and operations tools. Featuring HexStrike-Ai, it enables AI-driven automated scanning and ensures seamless tool execution, significantly boosting efficiency for security professionals and researchers.'
  • mediumlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the text of a standard open-source license, such as the MIT License or Apache-2.0 License.

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 CuriousLearnerDev/Online_tools
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Invicti
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Invicti · recommended 1×
  2. Acunetix · recommended 1×
  3. AppSec Phoenix · recommended 1×
  4. HackerOne · recommended 1×
  5. Snyk AppRisk · recommended 1×
  • CATEGORY QUERY
    Looking for an AI-powered platform to automate security scanning and penetration testing tools.
    you: not recommended
    AI recommended (in order):
    1. Invicti
    2. Acunetix
    3. AppSec Phoenix
    4. HackerOne
    5. Snyk AppRisk
    6. Veracode Intelligent Findings Platform
    7. Cobalt.io

    AI recommended 7 alternatives but never named CuriousLearnerDev/Online_tools. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find a collection of pre-configured security and ops tools with easy installation?
    you: not recommended
    AI recommended (in order):
    1. Security Onion (Security-Onion-Solutions/securityonion)
    2. Kali Linux
    3. Splunk Enterprise
    4. Elastic Stack
    5. OpenCTI (OpenCTI-Platform/opencti)
    6. OWASP ZAP (zaproxy/zaproxy)

    AI recommended 6 alternatives but never named CuriousLearnerDev/Online_tools. 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 CuriousLearnerDev/Online_tools?
    pass
    AI named CuriousLearnerDev/Online_tools explicitly

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

  • If a team adopts CuriousLearnerDev/Online_tools in production, what risks or prerequisites should they evaluate first?
    pass
    AI named CuriousLearnerDev/Online_tools 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 CuriousLearnerDev/Online_tools solve, and who is the primary audience?
    pass
    AI did not name CuriousLearnerDev/Online_tools — 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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CuriousLearnerDev/Online_tools — 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