RRepoGEO

REPOGEO REPORT · LITE

PleasePrompto/notebooklm-skill

Default branch master · commit eea5cb28 · scanned 5/30/2026, 12:06:54 AM

GitHub: 6,720 stars · 764 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 PleasePrompto/notebooklm-skill, 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
    Refine the README's initial value proposition

    Why:

    CURRENT
    > Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini.
    COPY-PASTE FIX
    > This skill offers a complete, ready-to-use Retrieval Augmented Generation (RAG) solution for Claude Code, enabling direct communication with your Google NotebookLM notebooks for source-grounded, citation-backed answers from Gemini.
  • mediumabout#2
    Update the repository's 'About' description

    Why:

    CURRENT
    Use this skill to enable Claude Code to communicate directly with your Google NotebookLM notebooks. Query your uploaded documents and get source-grounded, citation-backed answers from Gemini. Features browser automation, library management, persistent authentication, and answers exclusively from your own knowledge base.
    COPY-PASTE FIX
    A ready-to-use Claude Code skill for Google NotebookLM. This application enables Claude Code to query your uploaded documents directly from NotebookLM, providing source-grounded, citation-backed answers from Gemini, exclusively from your own knowledge base. Features browser automation, library management, and persistent authentication.

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 PleasePrompto/notebooklm-skill
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pinecone
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Pinecone · recommended 2×
  2. OpenAI Assistants API with Retrieval · recommended 1×
  3. LangChain · recommended 1×
  4. Chroma · recommended 1×
  5. Weaviate · recommended 1×
  • CATEGORY QUERY
    How can an AI assistant query my private documents for source-grounded, citation-backed answers?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Assistants API with Retrieval
    2. LangChain
    3. Pinecone
    4. Chroma
    5. Weaviate
    6. OpenAI GPT-4
    7. Anthropic Claude
    8. LlamaIndex
    9. Milvus
    10. Qdrant
    11. Google Gemini
    12. Mistral AI
    13. Azure AI Search
    14. Azure OpenAI Service
    15. AWS Kendra
    16. Amazon Bedrock
    17. AI21 Labs Jurassic
    18. Amazon Titan

    AI recommended 18 alternatives but never named PleasePrompto/notebooklm-skill. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to prevent a local conversational AI from hallucinating by using my document library?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Haystack (deepset-ai/haystack)
    4. Faiss (facebookresearch/faiss)
    5. Sentence-Transformers (UKPLab/sentence-transformers)
    6. Chroma (chroma-core/chroma)
    7. Weaviate (weaviate/weaviate)
    8. Pinecone
    9. Rasa (RasaHQ/rasa)

    AI recommended 9 alternatives but never named PleasePrompto/notebooklm-skill. 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 PleasePrompto/notebooklm-skill?
    pass
    AI named PleasePrompto/notebooklm-skill explicitly

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

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