RRepoGEO

REPOGEO REPORT · LITE

AutoLab-SAI-SJTU/Paper2Rebuttal

Default branch main · commit d9d348b7 · scanned 6/3/2026, 9:58:21 AM

GitHub: 520 stars · 21 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 AutoLab-SAI-SJTU/Paper2Rebuttal, 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 root of the repository, choosing a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that best suits your project's needs.
  • mediumhomepage#2
    Add the project homepage to the repository's About section

    Why:

    COPY-PASTE FIX
    https://mqleet.github.io/Paper2Rebuttal_ProjectPage/

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 AutoLab-SAI-SJTU/Paper2Rebuttal
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Elicit
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Elicit · recommended 2×
  2. ChatGPT/GPT-4 · recommended 1×
  3. QuillBot · recommended 1×
  4. Grammarly · recommended 1×
  5. DeepL Write · recommended 1×
  • CATEGORY QUERY
    What AI tools can assist with drafting effective responses to academic paper reviews?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT/GPT-4
    2. QuillBot
    3. Grammarly
    4. DeepL Write
    5. Elicit

    AI recommended 5 alternatives but never named AutoLab-SAI-SJTU/Paper2Rebuttal. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an AI-powered system to generate high-quality rebuttals for research paper submissions.
    you: not recommended
    AI recommended (in order):
    1. ChatGPT
    2. Claude
    3. Google Gemini Advanced
    4. Perplexity AI
    5. Elicit
    6. Scite.ai

    AI recommended 6 alternatives but never named AutoLab-SAI-SJTU/Paper2Rebuttal. 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 AutoLab-SAI-SJTU/Paper2Rebuttal?
    pass
    AI named AutoLab-SAI-SJTU/Paper2Rebuttal explicitly

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

  • If a team adopts AutoLab-SAI-SJTU/Paper2Rebuttal in production, what risks or prerequisites should they evaluate first?
    pass
    AI named AutoLab-SAI-SJTU/Paper2Rebuttal 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 AutoLab-SAI-SJTU/Paper2Rebuttal solve, and who is the primary audience?
    pass
    AI did not name AutoLab-SAI-SJTU/Paper2Rebuttal — 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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AutoLab-SAI-SJTU/Paper2Rebuttal — 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