RRepoGEO

REPOGEO REPORT · LITE

imelnyk/ArxivPapers

Default branch main · commit 8354909a · scanned 5/30/2026, 12:02:40 PM

GitHub: 539 stars · 59 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 imelnyk/ArxivPapers, 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 README's opening to highlight AI-powered video/audio conversion

    Why:

    CURRENT
    # ArXiv Paper Reader

Official implementation of the algorithm behind:
```
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv_papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
```

The main idea of this work is to simplify and streamline ArXiv paper reading.
If you're a visual learner, this code will covert a paper to an engaging video format.
If you are on the run and like listening, this code will also generate audio for listening.
    COPY-PASTE FIX
    # ArXiv Papers to Video/Audio Converter

This repository contains the official implementation of the algorithm that converts ArXiv papers into engaging video and audio summaries, powered by AI. It's the engine behind the content on:
```
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv_papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
```

If you're a visual learner, this code will convert a paper to an engaging video format. If you are on the run and like listening, this code will also generate audio for listening, simplifying and streamlining ArXiv paper comprehension.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    arxiv, paper-summarization, text-to-speech, video-generation, ai, machine-learning, natural-language-processing, gpt, ffmpeg, academic-papers
  • mediumlicense#3
    Add a LICENSE file

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root, for example, with the MIT License text.

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 imelnyk/ArxivPapers
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ChatGPT
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ChatGPT · recommended 1×
  2. Claude 3 Opus · recommended 1×
  3. SciSummary · recommended 1×
  4. ElevenLabs · recommended 1×
  5. Descript · recommended 1×
  • CATEGORY QUERY
    How can I automatically convert academic research papers into engaging video or audio summaries?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT
    2. Claude 3 Opus
    3. SciSummary
    4. ElevenLabs
    5. Descript
    6. Murf.ai
    7. Pictory.ai
    8. InVideo
    9. Synthesys Studio

    AI recommended 9 alternatives but never named imelnyk/ArxivPapers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools use AI to simplify and explain complex scientific articles for easier comprehension?
    you: not recommended
    AI recommended (in order):
    1. Elicit
    2. Scite.ai
    3. Semantic Scholar
    4. ResearchRabbit
    5. ChatGPT / GPT-4
    6. Humata AI
    7. Consensus

    AI recommended 7 alternatives but never named imelnyk/ArxivPapers. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 imelnyk/ArxivPapers?
    pass
    AI named imelnyk/ArxivPapers explicitly

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

  • If a team adopts imelnyk/ArxivPapers in production, what risks or prerequisites should they evaluate first?
    pass
    AI named imelnyk/ArxivPapers 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 imelnyk/ArxivPapers solve, and who is the primary audience?
    pass
    AI did not name imelnyk/ArxivPapers — 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?

Embed your GEO score

Drop this badge into the README of imelnyk/ArxivPapers. 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/imelnyk/ArxivPapers.svg)](https://repogeo.com/en/r/imelnyk/ArxivPapers)
HTML
<a href="https://repogeo.com/en/r/imelnyk/ArxivPapers"><img src="https://repogeo.com/badge/imelnyk/ArxivPapers.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

imelnyk/ArxivPapers — 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