RRepoGEO

REPOGEO REPORT · LITE

talkingwallace/ChatGPT-Paper-Reader

Default branch main · commit cb123e11 · scanned 6/7/2026, 6:27:27 AM

GitHub: 756 stars · 111 forks

AI VISIBILITY SCORE
17 /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
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 talkingwallace/ChatGPT-Paper-Reader, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root. You should choose a license that fits your project's goals, such as MIT, Apache-2.0, or GPL-3.0, and include its full text in the file.
  • mediumreadme#2
    Clarify the README's opening statement to emphasize its application nature

    Why:

    CURRENT
    This repository provides a simple interface that utilizes the `gpt-3.5-turbo` model to read academic papers in PDF format locally.
    COPY-PASTE FIX
    ChatGPT-Paper-Reader is a user-friendly application that leverages `gpt-3.5-turbo` to help you efficiently read, summarize, and ask questions about academic papers in PDF format, all processed locally.

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 talkingwallace/ChatGPT-Paper-Reader
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Elicit
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Elicit · recommended 1×
  2. Humata AI · recommended 1×
  3. ChatGPT · recommended 1×
  4. Claude · recommended 1×
  5. Perplexity AI · recommended 1×
  • CATEGORY QUERY
    Need an AI assistant to summarize long academic papers and answer questions.
    you: not recommended
    AI recommended (in order):
    1. Elicit
    2. Humata AI
    3. ChatGPT
    4. Claude
    5. Perplexity AI
    6. SciSpace

    AI recommended 6 alternatives but never named talkingwallace/ChatGPT-Paper-Reader. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help me extract information and query scientific PDFs using AI models?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. PyPDF2 (py-pdf/pypdf)
    3. pdfminer.six (pdfminer/pdfminer.six)
    4. LlamaIndex (run-llama/llama_index)
    5. LangChain (langchain-ai/langchain)
    6. Haystack (deepset-ai/haystack)
    7. SciBERT
    8. BioBERT
    9. Hugging Face Transformers (huggingface/transformers)
    10. Parsr (axa-group/Parsr)
    11. Adobe Acrobat Pro

    AI recommended 11 alternatives but never named talkingwallace/ChatGPT-Paper-Reader. 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 talkingwallace/ChatGPT-Paper-Reader?
    pass
    AI did not name talkingwallace/ChatGPT-Paper-Reader — 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 talkingwallace/ChatGPT-Paper-Reader in production, what risks or prerequisites should they evaluate first?
    pass
    AI named talkingwallace/ChatGPT-Paper-Reader 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 talkingwallace/ChatGPT-Paper-Reader solve, and who is the primary audience?
    pass
    AI did not name talkingwallace/ChatGPT-Paper-Reader — 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

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MARKDOWN (README)
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talkingwallace/ChatGPT-Paper-Reader — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite