RRepoGEO

REPOGEO REPORT · LITE

genmoai/mochi

Default branch main · commit 0c86aebf · scanned 5/15/2026, 5:48:13 PM

GitHub: 3,651 stars · 477 forks

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
  • highreadme#1
    Reposition README H1 and opening sentence to emphasize video generation

    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 Text-to-Video Generation Model
Blog | Direct Download | Hugging Face | Playground | Careers

Mochi is a state-of-the-art open-source model for generating high-quality videos from text prompts, developed by Genmo. It offers high-fidelity motion and strong prompt adherence, closing the gap between closed and open video generation systems.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    video-generation, text-to-video, generative-ai, deep-learning, machine-learning, diffusion-models, lora-finetuning, comfyui, open-source-ai
  • mediumcomparison#3
    Add a dedicated comparison section in the README

    Why:

    COPY-PASTE FIX
    Add a new section titled 'Comparison with other Video Generation Models' (e.g., after the 'Overview' or 'News' section) that explicitly highlights Mochi's unique features, such as its state-of-the-art quality, high-fidelity motion, strong prompt adherence, LoRA fine-tuning support, and consumer-GPU compatibility, in contrast to other leading open-source or closed-source alternatives.

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
Stable Video Diffusion (SVD)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Stable Video Diffusion (SVD) · recommended 1×
  2. Stability AI · recommended 1×
  3. Stable Diffusion · recommended 1×
  4. ModelScope Text-to-Video Synthesis (T2V) · recommended 1×
  5. ModelScope library · recommended 1×
  • CATEGORY QUERY
    What are the best open-source models for generating high-quality videos from text prompts?
    you: not recommended
    AI recommended (in order):
    1. Stable Video Diffusion (SVD)
    2. Stability AI
    3. Stable Diffusion
    4. ModelScope Text-to-Video Synthesis (T2V)
    5. ModelScope library

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

    Show full AI answer
  • CATEGORY QUERY
    Looking for a video generation tool supporting LoRA fine-tuning on consumer-grade GPUs.
    you: not recommended
    AI recommended (in order):
    1. Stability AI's Stable Diffusion
    2. RunwayML Gen-1/Gen-2
    3. Pika Labs
    4. Deforum Stable Diffusion
    5. Fooocus
    6. ComfyUI

    AI recommended 6 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?

Embed your GEO score

Drop this badge into the README of genmoai/mochi. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/genmoai/mochi.svg)](https://repogeo.com/en/r/genmoai/mochi)
HTML
<a href="https://repogeo.com/en/r/genmoai/mochi"><img src="https://repogeo.com/badge/genmoai/mochi.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

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