RRepoGEO

REPOGEO REPORT · LITE

marv1nnnnn/llm-min.txt

Default branch main · commit ad59aece · scanned 5/30/2026, 3:01:58 AM

GitHub: 679 stars · 15 forks

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 marv1nnnnn/llm-min.txt, 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
    Add a direct, concise definition of llm-min.txt at the start of the README

    Why:

    CURRENT
    The README excerpt starts the 'What is llm-min.txt and Why is it Important?' section with: 'If you've ever used an AI coding assistant...'
    COPY-PASTE FIX
    Insert this sentence immediately after the H1 or as the very first sentence of the 'What is...' section: 'llm-min.txt is a Python tool designed to compress technical documentation and code into a highly efficient, machine-readable format, specifically optimized to maximize information density within Large Language Model (LLM) context windows.'
  • hightopics#2
    Replace irrelevant topics with accurate, descriptive ones

    Why:

    CURRENT
    ide, llm, vibe-coding
    COPY-PASTE FIX
    llm-context-window, text-compression, documentation-optimization, generative-ai, prompt-engineering, python
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/marv1nnnnn/llm-min.txt

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 marv1nnnnn/llm-min.txt
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Haystack
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Haystack · recommended 2×
  2. LangChain · recommended 2×
  3. NLTK · recommended 2×
  4. GPT-4 · recommended 1×
  5. spaCy · recommended 1×
  • CATEGORY QUERY
    How to compress technical documentation to fit more information into LLM context windows?
    you: not recommended
    AI recommended (in order):
    1. GPT-4
    2. Haystack
    3. LangChain
    4. NLTK
    5. spaCy
    6. LexRank
    7. TextRank
    8. sumy
    9. gensim
    10. Hugging Face Transformers Library
    11. KeyBERT
    12. YAKE!

    AI recommended 12 alternatives but never named marv1nnnnn/llm-min.txt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools for optimizing large text documents to improve LLM context window efficiency?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. NLTK
    5. SpaCy
    6. Cohere Summarize API
    7. OpenAI API
    8. Hugging Face Transformers

    AI recommended 8 alternatives but never named marv1nnnnn/llm-min.txt. 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 marv1nnnnn/llm-min.txt?
    pass
    AI named marv1nnnnn/llm-min.txt explicitly

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

  • If a team adopts marv1nnnnn/llm-min.txt in production, what risks or prerequisites should they evaluate first?
    pass
    AI named marv1nnnnn/llm-min.txt 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 marv1nnnnn/llm-min.txt solve, and who is the primary audience?
    pass
    AI did not name marv1nnnnn/llm-min.txt — 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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  • Brand-free category queries5 vs 2 in Lite
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