RRepoGEO

REPOGEO REPORT · LITE

Joe-B-Security/awesome-prompt-injection

Default branch main · commit 593ce8f8 · scanned 6/17/2026, 9:02:57 AM

GitHub: 525 stars · 87 forks

AI VISIBILITY SCORE
22 /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
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 Joe-B-Security/awesome-prompt-injection, 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
  • hightopics#1
    Add specific technical topics to improve categorization

    Why:

    CURRENT
    awesome, awesome-list
    COPY-PASTE FIX
    awesome, awesome-list, prompt-injection, llm-security, machine-learning-security, ai-security, vulnerability
  • highreadme#2
    Reposition the README's opening description to clarify the repo's nature

    Why:

    CURRENT
    Learn about a type of vulnerability that specifically targets machine learning models.
    COPY-PASTE FIX
    A curated list of resources to learn about, detect, and mitigate prompt injection vulnerabilities in machine learning models.
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/Joe-B-Security/awesome-prompt-injection

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 Joe-B-Security/awesome-prompt-injection
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OWASP Top 10 for Large Language Model Applications
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OWASP Top 10 for Large Language Model Applications · recommended 1×
  2. Gandalf by Lakera AI · recommended 1×
  3. Simon Willison's "Prompt Injection Explained" · recommended 1×
  4. "Universal and Transferable Adversarial Attacks on Aligned Language Models" · recommended 1×
  5. Hugging Face · recommended 1×
  • CATEGORY QUERY
    How can I learn about prompt injection vulnerabilities in large language models?
    you: not recommended
    AI recommended (in order):
    1. OWASP Top 10 for Large Language Model Applications
    2. Gandalf by Lakera AI
    3. Simon Willison's "Prompt Injection Explained"
    4. "Universal and Transferable Adversarial Attacks on Aligned Language Models"
    5. Hugging Face
    6. PortSwigger's Web Security Academy

    AI recommended 6 alternatives but never named Joe-B-Security/awesome-prompt-injection. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are effective strategies to prevent prompt injection in AI applications?
    you: not recommended
    AI recommended (in order):
    1. OWASP Top 10 for LLMs
    2. Guardrails.ai
    3. NeMo Guardrails

    AI recommended 3 alternatives but never named Joe-B-Security/awesome-prompt-injection. 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 Joe-B-Security/awesome-prompt-injection?
    pass
    AI did not name Joe-B-Security/awesome-prompt-injection — 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 Joe-B-Security/awesome-prompt-injection in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Joe-B-Security/awesome-prompt-injection 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 Joe-B-Security/awesome-prompt-injection solve, and who is the primary audience?
    pass
    AI did not name Joe-B-Security/awesome-prompt-injection — 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?

Embed your GEO score

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Joe-B-Security/awesome-prompt-injection — 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