RRepoGEO

REPOGEO REPORT · LITE

JasonKessler/scattertext

Default branch master · commit a805fdbf · scanned 5/29/2026, 10:06:47 PM

GitHub: 2,329 stars · 285 forks

AI VISIBILITY SCORE
35 /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
3 / 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 JasonKessler/scattertext, 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
    Strengthen README's opening sentence to emphasize interactive text visualization

    Why:

    CURRENT
    A tool for finding distinguishing terms in corpora and displaying them in an interactive HTML scatter plot.
    COPY-PASTE FIX
    Scattertext is an interactive text visualization tool that creates HTML scatter plots to display distinguishing terms and how language differs among document types.
  • highhomepage#2
    Add a project homepage URL

    Why:

    COPY-PASTE FIX
    https://jasonkessler.github.io/scattertext/
  • mediumabout#3
    Refine the repository description for clarity and specificity

    Why:

    CURRENT
    Beautiful visualizations of how language differs among document types.
    COPY-PASTE FIX
    Interactive text visualization tool for creating HTML scatter plots to display distinguishing terms and how language differs among document types.

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 JasonKessler/scattertext
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Voyant Tools
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Voyant Tools · recommended 2×
  2. Tableau Public · recommended 2×
  3. AntConc · recommended 1×
  4. Power BI · recommended 1×
  5. nltk/nltk · recommended 1×
  • CATEGORY QUERY
    How to visualize distinguishing terms and word usage differences across text documents?
    you: not recommended
    AI recommended (in order):
    1. Voyant Tools
    2. AntConc
    3. Tableau Public
    4. Power BI
    5. NLTK (nltk/nltk)
    6. spaCy (explosion/spaCy)
    7. Orange (biolab/orange3)
    8. LexisNexis Content Analysis
    9. quanteda (quanteda/quanteda)
    10. ggplot2 (tidyverse/ggplot2)
    11. scikit-learn (scikit-learn/scikit-learn)
    12. matplotlib (matplotlib/matplotlib)
    13. seaborn (mwaskom/seaborn)

    AI recommended 13 alternatives but never named JasonKessler/scattertext. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for interactive text visualization to explore linguistic differences in large datasets?
    you: not recommended
    AI recommended (in order):
    1. Voyant Tools
    2. Tableau Public
    3. Tableau Desktop
    4. Gephi
    5. Observable Plot
    6. D3.js
    7. Orange3
    8. Plotly
    9. Bokeh

    AI recommended 9 alternatives but never named JasonKessler/scattertext. 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 JasonKessler/scattertext?
    pass
    AI named JasonKessler/scattertext explicitly

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

  • If a team adopts JasonKessler/scattertext in production, what risks or prerequisites should they evaluate first?
    pass
    AI named JasonKessler/scattertext 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 JasonKessler/scattertext solve, and who is the primary audience?
    pass
    AI named JasonKessler/scattertext explicitly

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

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JasonKessler/scattertext — 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