RRepoGEO

REPOGEO REPORT · LITE

lichao-sun/Mora

Default branch main · commit 7a030e29 · scanned 7/1/2026, 12:57:52 PM

GitHub: 1,590 stars · 111 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
30 /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
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 lichao-sun/Mora, 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    video-generation, ai-video, sora-like, multi-agent, deep-learning, computer-vision, generative-ai
  • 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 root of the repository with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • mediumreadme#3
    Elevate the 'What is Mora' description to the top of the README

    Why:

    CURRENT
    > 🔍 See our newest Video Generation paper: **"Mora: Enabling Generalist Video Generation via A Multi-Agent Framework"** [](http://arxiv.org/abs/2403.13248)  )
    COPY-PASTE FIX
    Mora is a multi-agent framework designed to facilitate generalist video generation tasks, leveraging a collaborative approach with multiple visual agents. It aims to replicate and extend the capabilities of OpenAI's Sora. 

 > 🔍 See our newest Video Generation paper: **"Mora: Enabling Generalist Video Generation via A Multi-Agent Framework"** [](http://arxiv.org/abs/2403.13248)  )

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 lichao-sun/Mora
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
RunwayML Gen-2
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. RunwayML Gen-2 · recommended 2×
  2. Pika Labs · recommended 2×
  3. Stability-AI/generative-models · recommended 1×
  4. Meta's Make-A-Video · recommended 1×
  5. Google's Imagen Video · recommended 1×
  • CATEGORY QUERY
    Need a framework for generating diverse videos from text prompts, similar to advanced AI models.
    you: not recommended
    AI recommended (in order):
    1. RunwayML Gen-2
    2. Pika Labs
    3. Stability AI's Stable Video Diffusion (SVD) (Stability-AI/generative-models)
    4. Meta's Make-A-Video
    5. Google's Imagen Video
    6. Phenaki
    7. Synthesia
    8. HeyGen

    AI recommended 8 alternatives but never named lichao-sun/Mora. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Exploring tools for generalist video generation, focusing on object consistency and motion smoothness.
    you: not recommended
    AI recommended (in order):
    1. RunwayML Gen-2
    2. Pika Labs
    3. Stability AI's Stable Video Diffusion (SVD)
    4. Kandinsky Video
    5. Google's Lumiere
    6. Meta's Emu Video

    AI recommended 6 alternatives but never named lichao-sun/Mora. 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 lichao-sun/Mora?
    pass
    AI named lichao-sun/Mora explicitly

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

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

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

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lichao-sun/Mora — 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