RRepoGEO

REPOGEO REPORT · LITE

ChenLiu-1996/figures4papers

Default branch main · commit ebebf0e6 · scanned 5/25/2026, 3:13:13 PM

GitHub: 2,109 stars · 134 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 ChenLiu-1996/figures4papers, 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 opening to clarify relationship with generic plotting libraries

    Why:

    CURRENT
    This is a centralized repository of my own **Python scripts for high-quality figures**.
    COPY-PASTE FIX
    This repository provides a centralized collection of my **Python scripts and helper functions for Matplotlib**, specifically designed to generate **high-quality, publication-ready figures** for top AI conferences and journals.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Add a LICENSE file to the repository root, or clearly state the licensing terms in the README if a custom license is intended.
  • mediumabout#3
    Update the 'About' description for clarity and specificity

    Why:

    CURRENT
    My Python scripts to make high-quality figures for publications in top AI conferences and journals.
    COPY-PASTE FIX
    Python scripts and helper functions for Matplotlib to create high-quality, publication-ready figures for AI conferences and journals.

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 ChenLiu-1996/figures4papers
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Matplotlib
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Matplotlib · recommended 2×
  2. Seaborn · recommended 2×
  3. Plotly · recommended 2×
  4. Altair · recommended 2×
  5. plotnine · recommended 1×
  • CATEGORY QUERY
    How to create high-quality scientific figures for academic publications using Python?
    you: not recommended
    AI recommended (in order):
    1. Matplotlib
    2. Seaborn
    3. Plotly
    4. Altair
    5. plotnine
    6. Bokeh
    7. Veusz

    AI recommended 7 alternatives but never named ChenLiu-1996/figures4papers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Python tools for generating bar, radar, and trend plots for machine learning research papers?
    you: not recommended
    AI recommended (in order):
    1. Matplotlib
    2. Seaborn
    3. Plotly
    4. Altair
    5. Pandas .plot()

    AI recommended 5 alternatives but never named ChenLiu-1996/figures4papers. 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 ChenLiu-1996/figures4papers?
    pass
    AI named ChenLiu-1996/figures4papers explicitly

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

  • If a team adopts ChenLiu-1996/figures4papers in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ChenLiu-1996/figures4papers 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 ChenLiu-1996/figures4papers solve, and who is the primary audience?
    pass
    AI did not name ChenLiu-1996/figures4papers — 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?

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ChenLiu-1996/figures4papers — 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