RRepoGEO

REPOGEO REPORT · LITE

jthack/PIPE

Default branch main · commit 2fc336f2 · scanned 6/15/2026, 7:37:36 AM

GitHub: 596 stars · 67 forks

AI VISIBILITY SCORE
30 /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
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 jthack/PIPE, 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 README's opening for AI clarity

    Why:

    CURRENT
    # PIPE - Prompt Injection Primer for Engineers
_Bringing clarity to questions about Prompt Injection Security_
    COPY-PASTE FIX
    # PIPE - Prompt Injection Primer for Engineers
_A comprehensive guide and primer for engineers on Prompt Injection Security._
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    prompt-injection, llm-security, ai-security, security-guide, primer, vulnerability, large-language-models
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the root of the repository containing the text of a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0).

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 jthack/PIPE
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 (LLM Top 10)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OWASP Top 10 for Large Language Model Applications (LLM Top 10) · recommended 1×
  2. Gandalf · recommended 1×
  3. Prompt Injection Playground · recommended 1×
  4. Prompt Engineering Guide · recommended 1×
  5. Hugging Face Learn Course on LLM Security · recommended 1×
  • CATEGORY QUERY
    How can I better understand prompt injection vulnerabilities in my AI applications?
    you: not recommended
    AI recommended (in order):
    1. OWASP Top 10 for Large Language Model Applications (LLM Top 10)
    2. Gandalf
    3. Prompt Injection Playground
    4. Prompt Engineering Guide
    5. Hugging Face Learn Course on LLM Security

    AI recommended 5 alternatives but never named jthack/PIPE. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best practices for securing AI applications against prompt injection attacks?
    you: not recommended
    AI recommended (in order):
    1. OWASP ESAPI
    2. Hugging Face Transformers Tokenizers
    3. Docker
    4. Kubernetes
    5. AWS IAM
    6. Azure AD
    7. Google Cloud IAM
    8. Istio
    9. Linkerd
    10. DOMPurify
    11. Bleach
    12. Apache Airflow
    13. Temporal
    14. OpenAI API
    15. Splunk
    16. ELK Stack
    17. Datadog
    18. New Relic
    19. Dynatrace
    20. OpenAI Moderation API
    21. Lakera Guard
    22. Protect AI
    23. Rebuff.ai

    AI recommended 23 alternatives but never named jthack/PIPE. 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 jthack/PIPE?
    pass
    AI named jthack/PIPE explicitly

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

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