RRepoGEO

REPOGEO REPORT · LITE

deep-diver/paper-reviewer

Default branch main · commit 499cc7c2 · scanned 5/28/2026, 7:03:30 AM

GitHub: 834 stars · 92 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 deep-diver/paper-reviewer, 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
  • highreadme#1
    Reposition the README's opening to clarify its application nature

    Why:

    CURRENT
    # Paper Reviewer
    
    https://github.com/user-attachments/assets/4ee19af5-107e-4ae7-95fe-67f6227eb5b0
    
    Generate a comprehensive review of papers from arXiv and OpenReview, then turn it into a blog post. That is the goal of this project, and it comes with a set of tools to accomplish that. If you are curious how to build your own paper reviewing blog, check out AI Paper Reviewer which is powered by this project to auto-generate blog posts on the Hugging Face Daily Papers. The video above is the demo of it. As of Dec. 2024, this project also powers AI Paper Reviewer for NeurIPS 2024 web page.
    COPY-PASTE FIX
    # Paper Reviewer: AI-Powered Academic Paper Review & Blog Post Generator
    
    This project provides a complete application to automatically generate comprehensive reviews and blog posts from arXiv and OpenReview papers. It powers the Hugging Face Daily Papers website and the AI Paper Reviewer for NeurIPS 2024, demonstrating its capability to automate academic content creation.
  • mediumreadme#2
    Add a 'What it is (and isn't)' section to clarify scope

    Why:

    COPY-PASTE FIX
    ## What Paper Reviewer is (and isn't)
    
    Paper Reviewer is a complete application designed to automate the process of generating academic paper reviews and converting them into blog posts. It is built using LLMs but is not a generic LLM framework like LangChain or LlamaIndex, nor is it a general-purpose document parser. Instead, it offers a focused solution for researchers and content creators to streamline their academic content workflow.

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 deep-diver/paper-reviewer
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Grobid
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Grobid · recommended 1×
  2. LangChain · recommended 1×
  3. LlamaIndex · recommended 1×
  4. OpenAI API · recommended 1×
  5. Anthropic Claude · recommended 1×
  • CATEGORY QUERY
    How can I automate generating AI-powered reviews and blog posts from academic papers?
    you: not recommended
    AI recommended (in order):
    1. Grobid
    2. LangChain
    3. LlamaIndex
    4. OpenAI API
    5. Anthropic Claude
    6. Hugging Face Transformers
    7. SpaCy
    8. NLTK
    9. Streamlit
    10. Gradio

    AI recommended 10 alternatives but never named deep-diver/paper-reviewer. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a tool to convert arXiv research papers into structured blog post summaries.
    you: not recommended
    AI recommended (in order):
    1. ChatGPT
    2. Parsr (axa-group/Parsr)
    3. Haystack (deepset-ai/haystack)
    4. PyMuPDF (pymupdf/PyMuPDF)
    5. Semantic Scholar API
    6. Hugging Face Transformers (huggingface/transformers)
    7. Doccano (doccano/doccano)

    AI recommended 7 alternatives but never named deep-diver/paper-reviewer. 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 deep-diver/paper-reviewer?
    pass
    AI did not name deep-diver/paper-reviewer — 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 deep-diver/paper-reviewer in production, what risks or prerequisites should they evaluate first?
    pass
    AI named deep-diver/paper-reviewer 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 deep-diver/paper-reviewer solve, and who is the primary audience?
    pass
    AI named deep-diver/paper-reviewer 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 deep-diver/paper-reviewer. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/deep-diver/paper-reviewer.svg)](https://repogeo.com/en/r/deep-diver/paper-reviewer)
HTML
<a href="https://repogeo.com/en/r/deep-diver/paper-reviewer"><img src="https://repogeo.com/badge/deep-diver/paper-reviewer.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

deep-diver/paper-reviewer — 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