RRepoGEO

REPOGEO REPORT · LITE

mukulpatnaik/researchgpt

Default branch main · commit fcd84165 · scanned 5/16/2026, 7:42:06 PM

GitHub: 3,530 stars · 318 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 mukulpatnaik/researchgpt, 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
    Rephrase the 'unmaintained' notice to highlight the successor and original's value

    Why:

    CURRENT
    ## **This repository is no longer actively maintained. A more advanced version of this project is available at chat.portal.so for free and will be open sourced soon.**
    COPY-PASTE FIX
    ## **Project Status: Successor Available**

This repository serves as a foundational proof-of-concept for an LLM-based research assistant. While active development has moved to a more advanced version available at [chat.portal.so](https://chat.portal.so) (which will be open-sourced soon), this original repository remains a valuable open-source reference for building a local, AI-powered PDF chat application.
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    pdf-chat, research-assistant, llm, fastapi, openai, embeddings, document-qa, local-deployment, open-source, python
  • mediumreadme#3
    Enhance the README's H1 and introductory paragraph

    Why:

    CURRENT
    # ResearchGPT

This is a simple fastapi app that provides a clean interface to enable a conversation with any pdf.
    COPY-PASTE FIX
    # ResearchGPT: Local AI Assistant for PDF Document Q&A

This open-source FastAPI application provides a clean, self-hostable interface to enable an AI-powered conversation with any PDF document. It's designed for researchers, students, and anyone needing to quickly extract insights and answers from academic papers or other documents by chatting directly with their content.

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 mukulpatnaik/researchgpt
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LM Studio
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LM Studio · recommended 1×
  2. imartinez/privateGPT · recommended 1×
  3. ollama/ollama · recommended 1×
  4. langchain-ai/langchain · recommended 1×
  5. nomic-ai/gpt4all · recommended 1×
  • CATEGORY QUERY
    How can I chat with PDF documents using an AI model locally?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. PrivateGPT (imartinez/privateGPT)
    3. Ollama (ollama/ollama)
    4. LangChain (langchain-ai/langchain)
    5. GPT4All (nomic-ai/gpt4all)
    6. LocalAI (mudler/LocalAI)

    AI recommended 6 alternatives but never named mukulpatnaik/researchgpt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an open-source tool to extract insights and answer questions from academic papers.
    you: not recommended
    AI recommended (in order):
    1. Haystack
    2. LlamaIndex
    3. DocArray
    4. Gensim
    5. spaCy
    6. NLTK

    AI recommended 6 alternatives but never named mukulpatnaik/researchgpt. 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 mukulpatnaik/researchgpt?
    pass
    AI named mukulpatnaik/researchgpt explicitly

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

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

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

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mukulpatnaik/researchgpt — 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