RRepoGEO

REPOGEO REPORT · LITE

1038lab/ComfyUI-RMBG

Default branch main · commit d7402513 · scanned 5/29/2026, 11:38:06 AM

GitHub: 1,966 stars · 118 forks

AI VISIBILITY SCORE
27 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 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 1038lab/ComfyUI-RMBG, 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 H1 to clearly state its function as a ComfyUI custom node

    Why:

    CURRENT
    # ComfyUI-RMBG
    COPY-PASTE FIX
    # ComfyUI-RMBG: Advanced Background Removal & Segmentation Custom Node for ComfyUI
  • mediumreadme#2
    Add a 'Key Features' or 'Why ComfyUI-RMBG?' section to highlight differentiators

    Why:

    COPY-PASTE FIX
    Add a new section, e.g., '## Key Features' or '## Why ComfyUI-RMBG?', immediately after the introductory paragraph, listing bullet points such as:
- **Comprehensive Model Support:** Integrates RMBG-2.0, INSPYRENET, BEN, BEN2, BiRefNet, SDMatte, SAM, SAM2, SAM3, and GroundingDINO for diverse segmentation needs.
- **Real-time Background Replacement:** Unique capability for dynamic background changes within ComfyUI workflows.
- **Enhanced Edge Detection:** Improves accuracy for complex segmentation tasks.
- **Fashion & Clothing Segmentation:** Specialized nodes for precise isolation of apparel elements.
- **Seamless ComfyUI Integration:** Designed as custom nodes for direct use in your ComfyUI pipelines.
  • lowtopics#3
    Add more specific ComfyUI-related topics

    Why:

    CURRENT
    comfyui, comfyui-nodes, image, mask, remove-background, segmentation, stable-diffusion
    COPY-PASTE FIX
    comfyui, comfyui-nodes, image, mask, remove-background, segmentation, stable-diffusion, comfyui-workflow, comfyui-extension, ai-image-processing, generative-ai-workflow

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 1038lab/ComfyUI-RMBG
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Segment Anything Model (SAM)
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Segment Anything Model (SAM) · recommended 2×
  2. Adobe Photoshop · recommended 1×
  3. Remove.bg · recommended 1×
  4. Figma · recommended 1×
  5. Canva · recommended 1×
  • CATEGORY QUERY
    How to achieve precise image background removal and object segmentation in a workflow?
    you: not recommended
    AI recommended (in order):
    1. Adobe Photoshop
    2. Remove.bg
    3. Figma
    4. Canva
    5. GIMP
    6. Segment Anything Model (SAM)

    AI recommended 6 alternatives but never named 1038lab/ComfyUI-RMBG. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What custom nodes are available for advanced fashion and clothing segmentation in image processing?
    you: not recommended
    AI recommended (in order):
    1. Segment Anything Model (SAM)
    2. MobileSAM
    3. YOLO-World
    4. YOLO-NAS
    5. Mask2Former
    6. Mask DINO
    7. Detectron2
    8. HRNet
    9. U-Net
    10. DeepLabV3+

    AI recommended 10 alternatives but never named 1038lab/ComfyUI-RMBG. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 1038lab/ComfyUI-RMBG?
    pass
    AI did not name 1038lab/ComfyUI-RMBG — 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?

  • If a team adopts 1038lab/ComfyUI-RMBG in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 1038lab/ComfyUI-RMBG 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 1038lab/ComfyUI-RMBG solve, and who is the primary audience?
    pass
    AI did not name 1038lab/ComfyUI-RMBG — 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

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MARKDOWN (README)
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1038lab/ComfyUI-RMBG — 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