RRepoGEO

REPOGEO REPORT · LITE

VectorSpaceLab/OmniGen2

Default branch main · commit 18e6f9d5 · scanned 5/30/2026, 4:02:38 PM

GitHub: 4,076 stars · 27 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/OmniGen2, 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 clearly define OmniGen2's purpose and audience.

    Why:

    COPY-PASTE FIX
    OmniGen2 is an open-source research framework for advanced multimodal generation and instruction-guided image editing, featuring a unified architecture and state-of-the-art reward models like EditScore for reinforcement learning.
  • hightopics#2
    Add specific topics to improve categorization.

    Why:

    COPY-PASTE FIX
    multimodal-generation, image-editing, reward-models, reinforcement-learning, generative-ai, deep-learning, research-framework, instruction-guided
  • mediumhomepage#3
    Set the repository homepage URL in the 'About' section.

    Why:

    COPY-PASTE FIX
    https://vectorspacelab.github.io/OmniGen2

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/OmniGen2
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Adobe Photoshop
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Adobe Photoshop · recommended 1×
  2. Midjourney · recommended 1×
  3. Stability-AI/StableDiffusion · recommended 1×
  4. DALL-E 3 · recommended 1×
  5. RunwayML · recommended 1×
  • CATEGORY QUERY
    What tools can I use for advanced instruction-guided image editing and multimodal generation?
    you: not recommended
    AI recommended (in order):
    1. Adobe Photoshop
    2. Midjourney
    3. Stable Diffusion (Stability-AI/StableDiffusion)
    4. DALL-E 3
    5. RunwayML
    6. Fooocus (lllyasviel/Fooocus)

    AI recommended 6 alternatives but never named VectorSpaceLab/OmniGen2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for open-source reward models to improve image editing with reinforcement learning.
    you: not recommended
    AI recommended (in order):
    1. LAION-Aesthetics V2
    2. CLIP
    3. BLIP-2
    4. Open-Dalle's Aesthetic Predictor
    5. Image Quality Assessment (IQA) Models
    6. PickScore
    7. Hugging Face's `transformers` library

    AI recommended 7 alternatives but never named VectorSpaceLab/OmniGen2. 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/OmniGen2?
    pass
    AI named VectorSpaceLab/OmniGen2 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/OmniGen2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named VectorSpaceLab/OmniGen2 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/OmniGen2 solve, and who is the primary audience?
    pass
    AI named VectorSpaceLab/OmniGen2 explicitly

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

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VectorSpaceLab/OmniGen2 — 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