RRepoGEO

REPOGEO REPORT · LITE

ChenLiu-1996/CitationMap

Default branch main · commit 2f39480c · scanned 6/7/2026, 7:42:40 PM

GitHub: 709 stars · 63 forks

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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/CitationMap, 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 to clarify project identity and unique value

    Why:

    CURRENT
    The current README starts with a strong title but the AI still misunderstands the project's nature.
    COPY-PASTE FIX
    Add a clear, concise statement early in the README, e.g., 'CitationMap is a standalone, pip-installable Python tool designed specifically for researchers to visualize their personal Google Scholar citations on a world map. It is the world's first free tool for this purpose, not a university project or a general citation network analysis system.'
  • highhomepage#2
    Update homepage to point to the tool's primary presence

    Why:

    CURRENT
    https://openreview.net/pdf?id=BqJgCgl1IA
    COPY-PASTE FIX
    https://pypi.org/project/citation-map/
  • mediumlicense#3
    Clarify the license in the README

    Why:

    COPY-PASTE FIX
    Add a section or line in the README, e.g., 'This project is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0). See the LICENSE file for details.'

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/CitationMap
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google My Maps
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google My Maps · recommended 1×
  2. Tableau Public · recommended 1×
  3. QGIS · recommended 1×
  4. Python · recommended 1×
  5. Folium · recommended 1×
  • CATEGORY QUERY
    How can I visualize my academic citations on a world map using Google Scholar data?
    you: not recommended
    AI recommended (in order):
    1. Google My Maps
    2. Tableau Public
    3. QGIS
    4. Python
    5. Folium
    6. Plotly
    7. Geopandas

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

    Show full AI answer
  • CATEGORY QUERY
    Python tool to generate a geographical visualization of my Google Scholar research impact?
    you: not recommended
    AI recommended (in order):
    1. scholar (scholarly-python-package/scholarly)
    2. geopandas
    3. matplotlib
    4. folium
    5. pandas
    6. geopy
    7. plotly
    8. requests
    9. BeautifulSoup
    10. bokeh
    11. Google Earth Engine

    AI recommended 11 alternatives but never named ChenLiu-1996/CitationMap. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

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

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

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