RRepoGEO

REPOGEO REPORT · LITE

postor/chatpdf-minimal-demo

Default branch main · commit 5d9ee944 · scanned 6/14/2026, 11:02:52 PM

GitHub: 610 stars · 105 forks

AI VISIBILITY SCORE
22 /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
1 / 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 postor/chatpdf-minimal-demo, 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
  • mediumreadme#1
    Clarify README's opening to emphasize 'demo application' nature

    Why:

    CURRENT
    chatpdf 的最小实现，和文章对话 | mvp of chatpdf
此项目目的在于研究 chatpdf 实现原理 | this project aims at learn how to build app like chatpdf
    COPY-PASTE FIX
    This project is a minimal, self-contained demo application for "Chat with PDF" functionality. It demonstrates how to build a basic RAG (Retrieval Augmented Generation) system for document Q&A using LLMs, primarily targeting developers and learners.
  • lowhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://github.com/postor/chatpdf-minimal-demo

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 postor/chatpdf-minimal-demo
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 2×
  2. chroma-core/chroma · recommended 2×
  3. facebookresearch/faiss · recommended 2×
  4. Pinecone · recommended 2×
  5. weaviate/weaviate · recommended 2×
  • CATEGORY QUERY
    How to implement a basic application for asking questions to uploaded documents?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. OpenAI API
    3. GPT-3.5 Turbo
    4. GPT-4
    5. Anthropic Claude
    6. Google Gemini
    7. Streamlit (streamlit/streamlit)
    8. Chroma (chroma-core/chroma)
    9. FAISS (facebookresearch/faiss)
    10. Pinecone
    11. Weaviate (weaviate/weaviate)
    12. LlamaIndex (run-llama/llama_index)
    13. Gradio (gradio-app/gradio)
    14. Hugging Face Transformers (huggingface/transformers)
    15. sentence-transformers/all-MiniLM-L6-v2
    16. Flask (pallets/flask)
    17. Django (django/django)
    18. React (facebook/react)
    19. Vue (vuejs/core)
    20. Svelte (sveltejs/svelte)
    21. Haystack (deepset-ai/haystack)
    22. Elasticsearch (elastic/elasticsearch)
    23. OpenSearch (opensearch-project/OpenSearch)
    24. Angular (angular/angular)
    25. PyPDF2 (py-pdf/pypdf)
    26. python-docx (python-openxml/python-docx)
    27. unstructured (Unstructured-IO/unstructured)

    AI recommended 27 alternatives but never named postor/chatpdf-minimal-demo. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What's the simplest way to build a document Q&A system using LLM embeddings?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex (run-llama/llama_index)
    2. LangChain (langchain-ai/langchain)
    3. Haystack (deepset-ai/haystack)
    4. Gradio (gradio-app/gradio)
    5. OpenAIEmbeddings
    6. SentenceTransformers (UKPLab/sentence-transformers)
    7. FAISS (facebookresearch/faiss)
    8. openai.ChatCompletion.create
    9. transformers (huggingface/transformers)
    10. Pinecone
    11. Weaviate (weaviate/weaviate)
    12. ChromaDB (chroma-core/chroma)

    AI recommended 12 alternatives but never named postor/chatpdf-minimal-demo. 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 postor/chatpdf-minimal-demo?
    pass
    AI did not name postor/chatpdf-minimal-demo — 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 postor/chatpdf-minimal-demo in production, what risks or prerequisites should they evaluate first?
    pass
    AI named postor/chatpdf-minimal-demo 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 postor/chatpdf-minimal-demo solve, and who is the primary audience?
    pass
    AI did not name postor/chatpdf-minimal-demo — 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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  • Brand-free category queries5 vs 2 in Lite
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