RRepoGEO

REPOGEO REPORT · LITE

limuloo/MIGC

Default branch main · commit effd6cc2 · scanned 6/12/2026, 7:03:08 PM

GitHub: 611 stars · 30 forks

AI VISIBILITY SCORE
28 /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
2 / 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 limuloo/MIGC, 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
    Add explicit disambiguation in README to prevent miscategorization

    Why:

    COPY-PASTE FIX
    Add the following sentence immediately after the main title in the README: "Note: This project, MIGC (Multi-Instance Generation Controller), is for advanced text-to-image synthesis and is *not* related to NVIDIA's Multi-Instance GPU (MIG) technology."
  • highhomepage#2
    Populate the repository's homepage URL

    Why:

    COPY-PASTE FIX
    https://migcproject.github.io/
  • mediumlicense#3
    Clarify the project's license(s) directly in the README

    Why:

    COPY-PASTE FIX
    Add a section or line in the README stating: "This project is released under [Specify License Name(s) here, e.g., 'a custom license, please refer to the LICENSE file for details' or 'the MIT License and Apache 2.0 License for different components']. Please see the LICENSE file for full details."

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 limuloo/MIGC
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. Stable Diffusion · recommended 1×
  3. ComfyUI · recommended 1×
  4. GLIGEN · recommended 1×
  5. LayoutDiffusion · recommended 1×
  • CATEGORY QUERY
    How can I precisely control multiple object instances in AI-generated images?
    you: not recommended
    AI recommended (in order):
    1. ControlNet
    2. Stable Diffusion
    3. ComfyUI
    4. GLIGEN
    5. LayoutDiffusion
    6. Automatic1111's Stable Diffusion WebUI
    7. DreamBooth
    8. LoRA (Low-Rank Adaptation)
    9. InstructPix2Pix
    10. Midjourney
    11. Adobe Firefly

    AI recommended 11 alternatives but never named limuloo/MIGC. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools allow specifying object locations with masks and bounding boxes for stable diffusion?
    you: not recommended
    AI recommended (in order):
    1. Automatic1111's Stable Diffusion web UI (AUTOMATIC1111/stable-diffusion-webui)
    2. ControlNet (lllyasviel/ControlNet)
    3. Regional Prompter
    4. Latent Couple
    5. ComfyUI (comfyanonymous/ComfyUI)
    6. InvokeAI (invoke-ai/InvokeAI)
    7. Fooocus (lllyasviel/Fooocus)
    8. Diffusers (huggingface/diffusers)

    AI recommended 8 alternatives but never named limuloo/MIGC. 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 limuloo/MIGC?
    pass
    AI named limuloo/MIGC explicitly

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

  • If a team adopts limuloo/MIGC in production, what risks or prerequisites should they evaluate first?
    pass
    AI named limuloo/MIGC 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 limuloo/MIGC solve, and who is the primary audience?
    pass
    AI did not name limuloo/MIGC — likely talking about a different project

    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 limuloo/MIGC. 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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MARKDOWN (README)
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HTML
<a href="https://repogeo.com/en/r/limuloo/MIGC"><img src="https://repogeo.com/badge/limuloo/MIGC.svg" alt="RepoGEO" /></a>
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limuloo/MIGC — 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