RRepoGEO

REPOGEO REPORT · LITE

Yuanshi9815/OminiControl

Default branch main · commit 331dd34e · scanned 6/24/2026, 5:38:06 PM

GitHub: 1,920 stars · 147 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 Yuanshi9815/OminiControl, 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
    Clarify repo's core purpose in README's opening

    Why:

    CURRENT
    The README currently starts with links and paper titles after the H1.
    COPY-PASTE FIX
    Add the following sentence immediately after the `# OminiControl` heading: "This repository presents OminiControl, a minimal and universal control framework for Diffusion Transformer models, enabling advanced image generation capabilities."
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    diffusion-transformer, image-generation, controlnet, computer-vision, deep-learning, generative-ai, machine-learning, flux-model
  • mediumhomepage#3
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2411.15098

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 Yuanshi9815/OminiControl
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ControlNet
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ControlNet · recommended 1×
  2. T2I-Adapter · recommended 1×
  3. GLIGEN · recommended 1×
  4. DreamBooth · recommended 1×
  5. LoRA · recommended 1×
  • CATEGORY QUERY
    How to achieve unified subject-driven and spatial control for diffusion transformer models?
    you: not recommended
    AI recommended (in order):
    1. ControlNet
    2. T2I-Adapter
    3. GLIGEN
    4. DreamBooth
    5. LoRA
    6. IP-Adapter
    7. StyleGAN-XL
    8. Custom Diffusion
    9. Textual Inversion
    10. InstructPix2Pix
    11. Composer
    12. Diff-GAN
    13. GigaGAN

    AI recommended 13 alternatives but never named Yuanshi9815/OminiControl. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are efficient methods for conditioning diffusion transformer models for image generation?
    you: not recommended
    AI recommended (in order):
    1. CLIP
    2. T5
    3. Stable Diffusion

    AI recommended 3 alternatives but never named Yuanshi9815/OminiControl. 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 Yuanshi9815/OminiControl?
    pass
    AI named Yuanshi9815/OminiControl explicitly

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

  • If a team adopts Yuanshi9815/OminiControl in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Yuanshi9815/OminiControl 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 Yuanshi9815/OminiControl solve, and who is the primary audience?
    pass
    AI named Yuanshi9815/OminiControl 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 Yuanshi9815/OminiControl. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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Yuanshi9815/OminiControl — 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