RRepoGEO

REPOGEO REPORT · LITE

mobarski/ask-my-pdf

Default branch main · commit 470d3196 · scanned 6/9/2026, 10:13:20 PM

GitHub: 600 stars · 271 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
35 /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
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 mobarski/ask-my-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
  • highreadme#1
    Reposition the README's opening to clearly state it's an AI application for PDF Q&A

    Why:

    CURRENT
    # Ask my PDF
    
    Thank you for your interest in my application. Please be aware that this is only a **Proof of Concept system** and may contain bugs or unfinished features. If you like this app you can ❤️ follow me on Twitter for news and updates.
    
    ### Ask my PDF - Question answering system built on top of GPT3
    
    🎲 The primary use case for this app is to assist users in answering questions about board game rules based on the instruction manual.
    COPY-PASTE FIX
    # Ask my PDF: AI-powered Question Answering System for Your Documents
    
    This application allows you to chat with your PDF files, extracting answers to your questions using GPT-3. It's designed as a user-friendly system for private, AI-powered document interaction. Please be aware that this is a **Proof of Concept system** and may contain bugs or unfinished features. While the app can be used for various tasks, its primary use case is to assist users in answering questions about board game rules based on instruction manuals.
  • highhomepage#2
    Add the Streamlit app URL to the repository homepage field

    Why:

    COPY-PASTE FIX
    https://ask-my-pdf.streamlit.app/
  • mediumtopics#3
    Expand topics to emphasize its role as a complete AI application

    Why:

    CURRENT
    gpt3, openai, openai-api, pdf, qna, streamlit
    COPY-PASTE FIX
    gpt3, openai, openai-api, pdf, qna, streamlit, chat-with-pdf, document-qa, llm-application, ai-assistant

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 mobarski/ask-my-pdf
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
pypdf/pypdf
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. pypdf/pypdf · recommended 1×
  2. apache/tika · recommended 1×
  3. deepset-ai/haystack · recommended 1×
  4. langchain-ai/langchain · recommended 1×
  5. Amazon Textract · recommended 1×
  • CATEGORY QUERY
    How to build a system for extracting answers from large PDF documents?
    you: not recommended
    AI recommended (in order):
    1. PyPDF2 (pypdf/pypdf)
    2. Apache Tika (apache/tika)
    3. Haystack (deepset-ai/haystack)
    4. LangChain (langchain-ai/langchain)
    5. Amazon Textract
    6. Google Cloud Document AI
    7. Azure Form Recognizer

    AI recommended 7 alternatives but never named mobarski/ask-my-pdf. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools can help me create an AI-powered Q&A interface for my documents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. OpenAI
    3. GPT-4
    4. gpt-3.5-turbo
    5. Anthropic's Claude
    6. Google's Gemini
    7. Pinecone
    8. Weaviate
    9. ChromaDB
    10. LlamaIndex
    11. Haystack
    12. Azure AI Search
    13. Azure OpenAI Service
    14. AWS Kendra
    15. Amazon Bedrock
    16. SageMaker JumpStart
    17. AI21 Labs' Jurassic
    18. Cohere Rerank
    19. You.com
    20. Perplexity AI API

    AI recommended 20 alternatives but never named mobarski/ask-my-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 mobarski/ask-my-pdf?
    pass
    AI named mobarski/ask-my-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 mobarski/ask-my-pdf in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mobarski/ask-my-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 mobarski/ask-my-pdf solve, and who is the primary audience?
    pass
    AI named mobarski/ask-my-pdf explicitly

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite