RRepoGEO

REPOGEO REPORT · LITE

alejandro-ao/langchain-ask-pdf

Default branch main · commit 4f33490d · scanned 6/5/2026, 12:43:09 AM

GitHub: 634 stars · 311 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 alejandro-ao/langchain-ask-pdf, 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
  • highabout#1
    Update About Description to emphasize 'tutorial application'

    Why:

    CURRENT
    An AI-app that allows you to upload a PDF and ask questions about it. It uses OpenAI's LLMs to generate a response.
    COPY-PASTE FIX
    A Python tutorial application demonstrating how to build an AI app that answers questions from uploaded PDFs using LangChain and OpenAI LLMs.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root. Given the project's educational nature, a permissive license like MIT is often suitable for tutorial code. Alternatively, explicitly state the licensing terms for educational use within the README.
  • mediumtopics#3
    Refine repository topics for better categorization

    Why:

    CURRENT
    langchain, langchain-python, llms, openai
    COPY-PASTE FIX
    langchain, langchain-python, llms, openai, streamlit, pdf-qa, ai-app, tutorial, educational-project

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 alejandro-ao/langchain-ask-pdf
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. Hugging Face Transformers · recommended 2×
  4. Chroma · recommended 2×
  5. Pinecone · recommended 2×
  • CATEGORY QUERY
    How to build an AI application that answers questions from uploaded PDF documents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Hugging Face Transformers
    4. Sentence-Transformers
    5. OpenAI API
    6. Anthropic API
    7. Google Gemini API
    8. Chroma
    9. Pinecone
    10. Weaviate
    11. FAISS
    12. Streamlit
    13. Gradio

    AI recommended 13 alternatives but never named alejandro-ao/langchain-ask-pdf. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Python framework to build a question-answering system for custom document uploads?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack
    4. Rasa
    5. Gradio
    6. Streamlit
    7. FastAPI
    8. Flask
    9. PyPDF2
    10. python-docx
    11. unstructured
    12. sentence-transformers
    13. Chroma
    14. Pinecone
    15. Weaviate
    16. OpenAI
    17. Hugging Face Transformers

    AI recommended 17 alternatives but never named alejandro-ao/langchain-ask-pdf. 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 alejandro-ao/langchain-ask-pdf?
    pass
    AI named alejandro-ao/langchain-ask-pdf explicitly

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

  • If a team adopts alejandro-ao/langchain-ask-pdf in production, what risks or prerequisites should they evaluate first?
    pass
    AI named alejandro-ao/langchain-ask-pdf 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 alejandro-ao/langchain-ask-pdf solve, and who is the primary audience?
    pass
    AI did not name alejandro-ao/langchain-ask-pdf — 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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alejandro-ao/langchain-ask-pdf — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite