RRepoGEO

REPOGEO REPORT · LITE

OpenMOSS/MOVA

Default branch main · commit 0fde19d4 · scanned 5/26/2026, 12:28:34 AM

GitHub: 1,013 stars · 87 forks

AI VISIBILITY SCORE
40 /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
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 OpenMOSS/MOVA, 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
  • highabout#1
    Clarify 'about' description to emphasize generative AI

    Why:

    CURRENT
    MOVA: Towards Scalable and Synchronized Video–Audio Generation
    COPY-PASTE FIX
    MOVA: A generative AI foundation model for scalable, synchronized video-audio creation, distinct from editing tools.
  • mediumtopics#2
    Add 'generative-ai' to repository topics

    Why:

    CURRENT
    diffusion-models, multimodal, sglang, video-audio-generation
    COPY-PASTE FIX
    diffusion-models, multimodal, sglang, video-audio-generation, generative-ai
  • lowreadme#3
    Strengthen README's unique value proposition against other generative models

    Why:

    CURRENT
    We introduce **MOVA** (**MO**SS **V**ideo and **A**udio), a foundation model designed to break the "silent era" of open-source video generation. Unlike cascaded pipelines that generate sound as an afterthought, MOVA synthesizes video and audio simultaneously for perfect alignment.
    COPY-PASTE FIX
    We introduce **MOVA** (**MO**SS **V**ideo and **A**udio), a foundation model designed to break the "silent era" of open-source video generation. Unlike many existing generative models that rely on cascaded pipelines, MOVA uniquely synthesizes video and audio simultaneously, ensuring perfect synchronization from the outset.

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 OpenMOSS/MOVA
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DaVinci Resolve
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. DaVinci Resolve · recommended 1×
  2. Adobe Premiere Pro · recommended 1×
  3. Adobe Audition · recommended 1×
  4. Final Cut Pro · recommended 1×
  5. Descript · recommended 1×
  • CATEGORY QUERY
    How to generate video content with perfectly synchronized, integrated audio?
    you: not recommended
    AI recommended (in order):
    1. DaVinci Resolve
    2. Adobe Premiere Pro
    3. Adobe Audition
    4. Final Cut Pro
    5. Descript
    6. Vegas Pro
    7. CapCut

    AI recommended 7 alternatives but never named OpenMOSS/MOVA. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a model to create high-fidelity video and audio together, avoiding separate generation steps.
    you: not recommended
    AI recommended (in order):
    1. V2A
    2. AudioGen/AudioCraft
    3. Phenaki / Imagen Video
    4. Sora
    5. Gen-2

    AI recommended 5 alternatives but never named OpenMOSS/MOVA. 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 OpenMOSS/MOVA?
    pass
    AI named OpenMOSS/MOVA explicitly

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

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

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

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MARKDOWN (README)
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OpenMOSS/MOVA — 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