RRepoGEO

REPOGEO REPORT · LITE

run-llama/notebookllama

Default branch main · commit 849e221a · scanned 5/20/2026, 2:51:46 AM

GitHub: 1,886 stars · 240 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
35 /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
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 run-llama/notebookllama, 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 opening to clarify core function for LLM agents

    Why:

    CURRENT
    # NotebookLlaMa🦙
    
    ## A fluffy and open-source alternative to NotebookLM!
    COPY-PASTE FIX
    # NotebookLlaMa🦙: An Open-Source LLM Agent for Interactive Jupyter Notebooks
    
    ## A fully open-source, LlamaCloud-backed alternative to NotebookLM, designed for LLM agents to interact with and execute code directly within Jupyter notebooks.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    llm-agents, jupyter-notebooks, llama-index, open-source, notebooklm-alternative, code-execution, ai-tools
  • mediumhomepage#3
    Add a homepage URL

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://cloud.llamaindex.ai?utm_source=demo&utm_medium=notebookLM

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 run-llama/notebookllama
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Documenso
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Documenso · recommended 1×
  2. OpenKM · recommended 1×
  3. Mayan EDMS · recommended 1×
  4. Paperless-ngx · recommended 1×
  5. Glean · recommended 1×
  • CATEGORY QUERY
    Looking for an open-source knowledge management tool to analyze documents with AI.
    you: not recommended
    AI recommended (in order):
    1. Documenso
    2. OpenKM
    3. Mayan EDMS
    4. Paperless-ngx
    5. Glean
    6. Elasticsearch
    7. Apache Solr
    8. Hugging Face Transformers
    9. spaCy

    AI recommended 9 alternatives but never named run-llama/notebookllama. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a personal AI assistant to help summarize and query information across my notes.
    you: not recommended
    AI recommended (in order):
    1. Mem
    2. Obsidian
    3. Notion AI
    4. Evernote
    5. Logseq
    6. Readwise Reader

    AI recommended 6 alternatives but never named run-llama/notebookllama. 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 run-llama/notebookllama?
    pass
    AI named run-llama/notebookllama explicitly

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

  • If a team adopts run-llama/notebookllama in production, what risks or prerequisites should they evaluate first?
    pass
    AI named run-llama/notebookllama 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 run-llama/notebookllama solve, and who is the primary audience?
    pass
    AI named run-llama/notebookllama explicitly

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

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MARKDOWN (README)
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run-llama/notebookllama — 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