RRepoGEO

REPOGEO REPORT · LITE

genmoai/mochi

Default branch main · commit 0c86aebf · scanned 6/26/2026, 10:58:00 AM

GitHub: 3,674 stars · 485 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)

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

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 genmoai/mochi, 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", "generative-ai", "deep-learning", "machine-learning", "text-to-video", "ai-models", "open-source", "video-model", "comfyui"]
  • highreadme#2
    Strengthen the README's opening statement for clear categorization

    Why:

    CURRENT
    # Mochi 1
    Blog | Direct Download | Hugging Face | Playground | Careers
    
    A state of the art video generation model by Genmo.
    COPY-PASTE FIX
    # Mochi 1: State-of-the-Art Open-Source Video Generation Model
    
    An open-source, state-of-the-art video generation model by Genmo, designed for high-fidelity motion and strong prompt adherence. Mochi dramatically closes the gap between closed and open video generation systems.
  • mediumhomepage#3
    Add an official homepage URL

    Why:

    COPY-PASTE FIX
    https://[YOUR_OFFICIAL_MOCHI_HOMEPAGE_URL_HERE]

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 genmoai/mochi
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
VideoCrafter
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. VideoCrafter · recommended 2×
  2. Phenaki · recommended 2×
  3. Stable Video Diffusion (SVD) / SVD-XT · recommended 1×
  4. ModelScope Text-to-Video Synthesis (T2V) · recommended 1×
  5. CogVideo · recommended 1×
  • CATEGORY QUERY
    What open-source models generate high-fidelity video with strong prompt adherence?
    you: not recommended
    AI recommended (in order):
    1. Stable Video Diffusion (SVD) / SVD-XT
    2. ModelScope Text-to-Video Synthesis (T2V)
    3. VideoCrafter
    4. CogVideo
    5. Phenaki

    AI recommended 5 alternatives but never named genmoai/mochi. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I fine-tune a video generation model on consumer GPUs?
    you: not recommended
    AI recommended (in order):
    1. RunwayML Gen-1/Gen-2
    2. Stable Video Diffusion (SVD)
    3. Hugging Face Diffusers
    4. LoRA (Low-Rank Adaptation)
    5. ControlNet
    6. AnimateDiff
    7. ModelScope Text-to-Video Synthesis
    8. VideoCrafter
    9. Phenaki
    10. Make-A-Video
    11. PEFT
    12. QLoRA
    13. RunPod
    14. Vast.ai
    15. Google Colab Pro/Pro+
    16. AWS
    17. GCP
    18. Azure

    AI recommended 18 alternatives but never named genmoai/mochi. 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 genmoai/mochi?
    pass
    AI named genmoai/mochi explicitly

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

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

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

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genmoai/mochi — 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