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
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.
- highreadme#1Refine 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#2Update the repository's 'About' description
Why:
CURRENTUse 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 FIXA 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.
- Pinecone · recommended 2×
- OpenAI Assistants API with Retrieval · recommended 1×
- LangChain · recommended 1×
- Chroma · recommended 1×
- Weaviate · recommended 1×
- CATEGORY QUERYHow can an AI assistant query my private documents for source-grounded, citation-backed answers?you: not recommendedAI recommended (in order):
- OpenAI Assistants API with Retrieval
- LangChain
- Pinecone
- Chroma
- Weaviate
- OpenAI GPT-4
- Anthropic Claude
- LlamaIndex
- Milvus
- Qdrant
- Google Gemini
- Mistral AI
- Azure AI Search
- Azure OpenAI Service
- AWS Kendra
- Amazon Bedrock
- AI21 Labs Jurassic
- Amazon Titan
AI recommended 18 alternatives but never named PleasePrompto/notebooklm-skill. This is the gap to close.
Show full AI answer
- CATEGORY QUERYTool to prevent a local conversational AI from hallucinating by using my document library?you: not recommendedAI recommended (in order):
- LangChain (langchain-ai/langchain)
- LlamaIndex (run-llama/llama_index)
- Haystack (deepset-ai/haystack)
- Faiss (facebookresearch/faiss)
- Sentence-Transformers (UKPLab/sentence-transformers)
- Chroma (chroma-core/chroma)
- Weaviate (weaviate/weaviate)
- Pinecone
- 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 completenesswarn
Suggestion:
- README presencepass
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?passAI 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?passAI 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?passAI 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?
Embed your GEO score
Drop this badge into the README of PleasePrompto/notebooklm-skill. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/PleasePrompto/notebooklm-skill)<a href="https://repogeo.com/en/r/PleasePrompto/notebooklm-skill"><img src="https://repogeo.com/badge/PleasePrompto/notebooklm-skill.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
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