RRepoGEO

REPOGEO REPORT · LITE

marcelo-earth/generative-manim

Default branch main · commit 458689b1 · scanned 6/15/2026, 6:32:15 AM

GitHub: 876 stars · 128 forks

AI VISIBILITY SCORE
27 /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
1 / 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 marcelo-earth/generative-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
  • highreadme#1
    Reposition the README's opening statement to clarify Manim focus

    Why:

    CURRENT
    🎨 GPT-4o powered generative videos. Concept. ⚡️
    COPY-PASTE FIX
    🎨 Generative Manim: AI-powered video creation *for Manim* using GPT-4o. ⚡️
  • highreadme#2
    Add a clear statement about the project's prototype status and maintenance

    Why:

    COPY-PASTE FIX
    ## ⚠️ Project Status

Generative Manim is currently a conceptual prototype exploring AI-driven Manim video generation. It is actively developed for research and demonstration purposes, not yet intended for production environments.
  • mediumtopics#3
    Expand topics to include broader AI video generation terms alongside Manim

    Why:

    CURRENT
    2d, animation, gpt, gpt-4, gpt3, gpt3-turbo, manim, openai, prompt2manim, python-3, rendering, streamlit, text2manim, video
    COPY-PASTE FIX
    2d, animation, gpt, gpt-4, gpt3, gpt3-turbo, manim, openai, prompt2manim, python-3, rendering, streamlit, text2manim, video, ai-video-generation, llm-animation, manim-ai, educational-video

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 marcelo-earth/generative-manim
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DeepMotion
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. DeepMotion · recommended 2×
  2. RunwayML · recommended 2×
  3. Synthesia · recommended 1×
  4. HeyGen · recommended 1×
  5. Fliki · recommended 1×
  • CATEGORY QUERY
    How can I generate animated educational videos from text descriptions using AI?
    you: not recommended
    AI recommended (in order):
    1. Synthesia
    2. HeyGen
    3. DeepMotion
    4. Fliki
    5. Pictory AI
    6. InVideo
    7. RunwayML

    AI recommended 7 alternatives but never named marcelo-earth/generative-manim. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools automate 2D animation creation from natural language prompts using LLMs?
    you: not recommended
    AI recommended (in order):
    1. RunwayML
    2. Kinetix
    3. DeepMotion
    4. Adobe Animate
    5. Synfig Studio
    6. Character Animator

    AI recommended 6 alternatives but never named marcelo-earth/generative-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
    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 marcelo-earth/generative-manim?
    pass
    AI did not name marcelo-earth/generative-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?

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