RRepoGEO

REPOGEO REPORT · LITE

hwchase17/notion-qa

Default branch master · commit 71610847 · scanned 5/27/2026, 3:13:09 AM

GitHub: 2,156 stars · 363 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 hwchase17/notion-qa, 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
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    Enable natural language querying and question-answering over your Notion databases using LangChain and OpenAI. Deployable as a Python script or Streamlit app.
  • mediumreadme#2
    Strengthen the README's opening statement for clearer positioning

    Why:

    CURRENT
    # Notion Question-Answering

🤖Ask questions to your Notion database in natural language🤖

💪 Built with LangChain
    COPY-PASTE FIX
    # Notion Question-Answering

This repository provides a powerful, LangChain-powered solution to enable natural language querying and question-answering directly over your Notion databases. Transform your Notion content into an interactive knowledge base, easily deployable as a Python script or Streamlit app.

🤖Ask questions to your Notion database in natural language🤖

💪 Built with LangChain

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 hwchase17/notion-qa
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 1×
  2. GPT-4 · recommended 1×
  3. GPT-3.5 Turbo · recommended 1×
  4. Pinecone · recommended 1×
  5. Weaviate · recommended 1×
  • CATEGORY QUERY
    How can I enable natural language querying for my internal company knowledge base?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. GPT-4
    3. GPT-3.5 Turbo
    4. Pinecone
    5. Weaviate
    6. Chroma
    7. Azure OpenAI Service
    8. Azure AI Search
    9. Google Cloud Vertex AI
    10. PaLM 2
    11. Gemini
    12. Vertex AI Search and Conversation
    13. Hugging Face Transformers (huggingface/transformers)
    14. Llama 2
    15. Mistral
    16. Faiss (facebookresearch/faiss)
    17. Elasticsearch (elastic/elasticsearch)
    18. Amazon Bedrock
    19. Anthropic Claude
    20. AI21 Labs Jurassic
    21. Amazon Titan
    22. Amazon Kendra
    23. Cohere
    24. Command
    25. Embed
    26. LangChain (langchain-ai/langchain)
    27. LlamaIndex (run-llama/llama_index)

    AI recommended 27 alternatives but never named hwchase17/notion-qa. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Python library to build a conversational AI assistant for document retrieval.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. Hugging Face Transformers
    5. Faiss
    6. Sentence-Transformers

    AI recommended 6 alternatives but never named hwchase17/notion-qa. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 hwchase17/notion-qa?
    pass
    AI named hwchase17/notion-qa explicitly

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

  • If a team adopts hwchase17/notion-qa in production, what risks or prerequisites should they evaluate first?
    pass
    AI named hwchase17/notion-qa 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 hwchase17/notion-qa solve, and who is the primary audience?
    pass
    AI named hwchase17/notion-qa explicitly

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

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hwchase17/notion-qa — 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