RRepoGEO

REPOGEO REPORT · LITE

HarleyCoops/Math-To-Manim

Default branch main · commit dbc2e872 · scanned 5/23/2026, 12:26:42 AM

GitHub: 2,063 stars · 228 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 HarleyCoops/Math-To-Manim, 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
  • hightopics#1
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    manim, ai-code-generation, math-animation, physics-animation, educational-tool, llm-agent, python
  • highlicense#2
    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 with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • mediumreadme#3
    Clarify the AI-powered generation aspect in the README's main heading

    Why:

    CURRENT
    # Math to Manim
    COPY-PASTE FIX
    # Math to Manim: AI-Powered Animation & Study Note Generation

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 HarleyCoops/Math-To-Manim
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Unity
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Unity · recommended 2×
  2. Desmos · recommended 2×
  3. Manim Community Edition · recommended 1×
  4. Blender · recommended 1×
  5. Processing · recommended 1×
  • CATEGORY QUERY
    How can I automatically generate engaging math and physics animations from text descriptions?
    you: not recommended
    AI recommended (in order):
    1. Manim Community Edition
    2. Blender
    3. Unity
    4. Processing
    5. P5.js
    6. ChatGPT / GPT-4
    7. Desmos

    AI recommended 7 alternatives but never named HarleyCoops/Math-To-Manim. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help create dynamic visual explanations for complex mathematical concepts and physics principles?
    you: not recommended
    AI recommended (in order):
    1. Manim (3b1b/manim)
    2. GeoGebra (geogebra/geogebra)
    3. Desmos
    4. Blender (blender/blender)
    5. p5.js (processing/p5.js)
    6. Wolfram Mathematica
    7. Unity

    AI recommended 7 alternatives but never named HarleyCoops/Math-To-Manim. 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 HarleyCoops/Math-To-Manim?
    pass
    AI named HarleyCoops/Math-To-Manim explicitly

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

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