RRepoGEO

REPOGEO REPORT · LITE

VectorSpaceLab/OmniGen

Default branch main · commit d4752019 · scanned 5/30/2026, 11:17:51 AM

GitHub: 4,322 stars · 363 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 VectorSpaceLab/OmniGen, 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 to emphasize 'unified framework' for AI/ML

    Why:

    CURRENT
    <h1 align="center">OmniGen: Unified Image Generation</h1>
    COPY-PASTE FIX
    <h1 align="center">OmniGen: A Unified Multi-Modal Framework for AI/ML Image Generation</h1>

OmniGen is a comprehensive framework designed for AI researchers and machine learning engineers, offering unified multi-modal synthetic data generation and diverse image creation and manipulation capabilities.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://vectorspacelab.github.io/OmniGen/
  • mediumtopics#3
    Add more specific topics to highlight its framework and multi-modal nature

    Why:

    CURRENT
    diffusion, image, image-edit, image-generation, multi-modal, multi-task
    COPY-PASTE FIX
    diffusion, image, image-edit, image-generation, multi-modal, multi-task, ai-framework, synthetic-data, research-tool, machine-learning

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 VectorSpaceLab/OmniGen
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Stable Diffusion
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Stable Diffusion · recommended 2×
  2. DALL-E 3 · recommended 2×
  3. Midjourney · recommended 2×
  4. Adobe Firefly · recommended 2×
  5. SDXL · recommended 1×
  • CATEGORY QUERY
    What's a good unified model for various image generation and editing tasks?
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion
    2. SDXL
    3. DALL-E 3
    4. ChatGPT Plus/API
    5. Microsoft Copilot
    6. Midjourney
    7. Adobe Firefly
    8. Photoshop
    9. Illustrator
    10. ControlNet

    AI recommended 10 alternatives but never named VectorSpaceLab/OmniGen. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a powerful diffusion model capable of diverse image creation and manipulation.
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion
    2. Midjourney
    3. DALL-E 3
    4. Adobe Firefly
    5. Fooocus (lllyasviel/Fooocus)
    6. InvokeAI (invoke-ai/InvokeAI)

    AI recommended 6 alternatives but never named VectorSpaceLab/OmniGen. 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 VectorSpaceLab/OmniGen?
    pass
    AI named VectorSpaceLab/OmniGen explicitly

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

  • If a team adopts VectorSpaceLab/OmniGen in production, what risks or prerequisites should they evaluate first?
    pass
    AI named VectorSpaceLab/OmniGen 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 VectorSpaceLab/OmniGen solve, and who is the primary audience?
    pass
    AI named VectorSpaceLab/OmniGen 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 VectorSpaceLab/OmniGen. 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/VectorSpaceLab/OmniGen.svg)](https://repogeo.com/en/r/VectorSpaceLab/OmniGen)
HTML
<a href="https://repogeo.com/en/r/VectorSpaceLab/OmniGen"><img src="https://repogeo.com/badge/VectorSpaceLab/OmniGen.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

VectorSpaceLab/OmniGen — 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