RRepoGEO

REPOGEO REPORT · LITE

mmz-001/knowledge_gpt

Default branch main · commit 6002862f · scanned 5/16/2026, 7:41:53 PM

GitHub: 1,645 stars · 791 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 mmz-001/knowledge_gpt, 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 highlight its self-hosted, open-source nature

    Why:

    CURRENT
    <h1 align="center">
📖KnowledgeGPT
</h1>

<div id="top" align="center">

[](https://twitter.com/mm_sasmitha)

</div>

**Accurate answers and instant citations for your documents.**
    COPY-PASTE FIX
    <h1 align="center">
📖KnowledgeGPT
</h1>

<div id="top" align="center">

[](https://twitter.com/mm_sasmitha)

</div>

**KnowledgeGPT is an open-source, self-hosted AI tool for accurate question answering and instant citations from your local documents.**
  • mediumreadme#2
    Explicitly mention RAG and local data privacy in the README

    Why:

    COPY-PASTE FIX
    Add a "Features" section or expand the main description to include: "Leverages Retrieval-Augmented Generation (RAG) to ensure answers are grounded in your documents." and "Process your documents locally, ensuring your data remains private and secure."

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 mmz-001/knowledge_gpt
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LlamaIndex
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 2×
  2. LangChain · recommended 2×
  3. Haystack · recommended 2×
  4. RAGatouille · recommended 2×
  5. PrivateGPT · recommended 1×
  • CATEGORY QUERY
    How to build a local AI tool for question answering on my own documents?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack
    4. RAGatouille
    5. PrivateGPT
    6. Ollama
    7. Chroma
    8. FAISS

    AI recommended 8 alternatives but never named mmz-001/knowledge_gpt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are open-source tools to extract answers and citations from uploaded PDFs?
    you: not recommended
    AI recommended (in order):
    1. Haystack
    2. LlamaIndex
    3. LangChain
    4. RAGatouille
    5. pdfminer.six
    6. spaCy
    7. NLTK
    8. PyMuPDF

    AI recommended 8 alternatives but never named mmz-001/knowledge_gpt. 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 mmz-001/knowledge_gpt?
    pass
    AI named mmz-001/knowledge_gpt explicitly

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

  • If a team adopts mmz-001/knowledge_gpt in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mmz-001/knowledge_gpt 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 mmz-001/knowledge_gpt solve, and who is the primary audience?
    pass
    AI did not name mmz-001/knowledge_gpt — 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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mmz-001/knowledge_gpt — 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