RRepoGEO

REPOGEO REPORT · LITE

namuan/dr-doc-search

Default branch main · commit 5b64a279 · scanned 6/6/2026, 9:51:52 AM

GitHub: 596 stars · 59 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 namuan/dr-doc-search, 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 the README H1 and opening sentence to clarify its role as an AI-powered PDF conversational tool

    Why:

    CURRENT
    # Doc Search

Converse with a book (PDF)
    COPY-PASTE FIX
    # dr-doc-search: AI-powered Conversational Search for PDFs

This Python library allows you to build conversational AI interfaces to interact with your PDF documents, enabling you to ask questions and get answers directly from the content.
  • mediumtopics#2
    Add more specific topics to improve category matching

    Why:

    CURRENT
    gpt3, langchain, nlp-machine-learning, python, summarization
    COPY-PASTE FIX
    gpt3, nlp-machine-learning, python, summarization, pdf-chatbot, document-qa, conversational-ai
  • lowhomepage#3
    Add the project's documentation URL as the repository homepage

    Why:

    COPY-PASTE FIX
    https://namuan.github.io/dr-doc-search

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 namuan/dr-doc-search
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. PyPDF2 · recommended 2×
  4. OpenAI API · recommended 1×
  5. Hugging Face Transformers · recommended 1×
  • CATEGORY QUERY
    How can I build a conversational AI interface for interacting with PDF documents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI API
    4. Hugging Face Transformers
    5. Pinecone
    6. Weaviate
    7. ChromaDB
    8. PyPDF2
    9. pdfminer.six
    10. pypdf
    11. Streamlit
    12. Gradio

    AI recommended 12 alternatives but never named namuan/dr-doc-search. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Python library to create a chatbot that answers questions from uploaded PDF files?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack (deepset/haystack)
    4. Transformers
    5. PyPDF2

    AI recommended 5 alternatives but never named namuan/dr-doc-search. 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 namuan/dr-doc-search?
    pass
    AI did not name namuan/dr-doc-search — 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?

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

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

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  • Brand-free category queries5 vs 2 in Lite
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