RRepoGEO

REPOGEO REPORT · LITE

bhaskatripathi/pdfGPT

Default branch main · commit 04d7a41a · scanned 5/24/2026, 8:13:01 AM

GitHub: 7,173 stars · 835 forks

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 bhaskatripathi/pdfGPT, 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 core differentiator to the top

    Why:

    CURRENT
    The current README starts with `# pdfGPT` then `## Demo`, with the differentiator buried further down.
    COPY-PASTE FIX
    Move the core differentiator statement to immediately follow the H1. For example, after `# pdfGPT`, add: "pdfGPT is the most accurate open-source application for chatting with PDF documents, known for its simple, unique architecture that avoids complex RAG frameworks, vector databases, and third-party APIs like Langchain, while still delivering precise responses."
  • mediumtopics#2
    Add more descriptive topics to clarify its application nature and unique architecture

    Why:

    CURRENT
    chatpdf, chatwithpdf, pdfgpt
    COPY-PASTE FIX
    chatpdf, chatwithpdf, pdfgpt, pdf-chatbot, document-qa, rag-application, simple-rag, no-langchain
  • lowreadme#3
    Create a dedicated 'Why pdfGPT?' or 'Key Differentiators' section in the README

    Why:

    CURRENT
    The differentiator is embedded in a paragraph under 'Demo'.
    COPY-PASTE FIX
    Add a new H2 section, e.g., `## Why pdfGPT Stands Out` or `## Key Differentiators`, and move the existing text about its accuracy, simple architecture, and avoidance of complex RAG frameworks (Langchain, vectorDB, indexing) into this dedicated section, perhaps as bullet points for clarity.

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 bhaskatripathi/pdfGPT
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. Haystack · recommended 2×
  4. FAISS · recommended 2×
  5. Mistral · recommended 2×
  • CATEGORY QUERY
    How can I build an open-source chatbot to interact with my PDF documents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. ChromaDB
    3. LlamaIndex
    4. Haystack
    5. Weaviate
    6. Apache Tika
    7. Rasa
    8. FAISS
    9. PyPDF2
    10. Llama 2
    11. Mistral
    12. Sentence-Transformers
    13. Pinecone
    14. Milvus
    15. NLTK
    16. SpaCy
    17. Scikit-learn
    18. SQLite

    AI recommended 18 alternatives but never named bhaskatripathi/pdfGPT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a simple, accurate open-source solution to chat with PDFs, avoiding complex RAG frameworks.
    you: not recommended
    AI recommended (in order):
    1. PrivateGPT
    2. LlamaIndex
    3. Ollama
    4. Llama 3
    5. Mistral
    6. LangChain
    7. FAISS
    8. Chroma
    9. transformers
    10. PDF.ai
    11. Haystack

    AI recommended 11 alternatives but never named bhaskatripathi/pdfGPT. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 bhaskatripathi/pdfGPT?
    pass
    AI did not name bhaskatripathi/pdfGPT — 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 bhaskatripathi/pdfGPT in production, what risks or prerequisites should they evaluate first?
    pass
    AI named bhaskatripathi/pdfGPT 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 bhaskatripathi/pdfGPT solve, and who is the primary audience?
    pass
    AI named bhaskatripathi/pdfGPT explicitly

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

Embed your GEO score

Drop this badge into the README of bhaskatripathi/pdfGPT. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
<a href="https://repogeo.com/en/r/bhaskatripathi/pdfGPT"><img src="https://repogeo.com/badge/bhaskatripathi/pdfGPT.svg" alt="RepoGEO" /></a>
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bhaskatripathi/pdfGPT — 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