RRepoGEO

REPOGEO REPORT · LITE

ZHO-ZHO-ZHO/ComfyUI-YoloWorld-EfficientSAM

Default branch main · commit dcb78653 · scanned 6/7/2026, 12:37:37 AM

GitHub: 822 stars · 72 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 ZHO-ZHO-ZHO/ComfyUI-YoloWorld-EfficientSAM, 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
  • hightopics#1
    Add specific functionality topics

    Why:

    CURRENT
    comfyui, stable-diffusion
    COPY-PASTE FIX
    comfyui, stable-diffusion, object-detection, segmentation, yolo-world, efficientsam, instance-segmentation
  • highreadme#2
    Refine README's opening sentence for user benefit

    Why:

    CURRENT
    Unofficial implementation of YOLO-World + EfficientSAM & YOLO-World for ComfyUI
    COPY-PASTE FIX
    ComfyUI-YoloWorld-EfficientSAM provides custom nodes for advanced, efficient object detection and instance segmentation within ComfyUI workflows, leveraging YOLO-World and EfficientSAM models.
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://github.com/ZHO-ZHO-ZHO/ComfyUI-YoloWorld-EfficientSAM

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 ZHO-ZHO-ZHO/ComfyUI-YoloWorld-EfficientSAM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ComfyUI-Impact-Pack
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ComfyUI-Impact-Pack · recommended 2×
  2. Grounding DINO · recommended 2×
  3. Mask R-CNN · recommended 2×
  4. Segment Anything Model (SAM) · recommended 1×
  5. ComfyUI-SAM-Loader · recommended 1×
  • CATEGORY QUERY
    How can I perform efficient object detection and segmentation for images in ComfyUI workflows?
    you: not recommended
    AI recommended (in order):
    1. Segment Anything Model (SAM)
    2. ComfyUI-Impact-Pack
    3. ComfyUI-SAM-Loader
    4. YOLO-NAS
    5. ComfyUI-YOLO-NAS
    6. Grounding DINO
    7. ComfyUI-GroundingDINO
    8. OWL-ViT
    9. ComfyUI-OWL-ViT
    10. Mask R-CNN
    11. ComfyUI-MaskRCNN

    AI recommended 11 alternatives but never named ZHO-ZHO-ZHO/ComfyUI-YoloWorld-EfficientSAM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools provide object mask separation and extraction capabilities within ComfyUI?
    you: not recommended
    AI recommended (in order):
    1. Segment Anything (SAM)
    2. Grounding DINO
    3. YOLO-World
    4. Mask R-CNN
    5. Detectron2
    6. RemBG
    7. CLIPSeg
    8. ComfyUI-Impact-Pack
    9. ComfyUI-Custom-Nodes
    10. ComfyUI-Manager

    AI recommended 10 alternatives but never named ZHO-ZHO-ZHO/ComfyUI-YoloWorld-EfficientSAM. 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 ZHO-ZHO-ZHO/ComfyUI-YoloWorld-EfficientSAM?
    pass
    AI named ZHO-ZHO-ZHO/ComfyUI-YoloWorld-EfficientSAM explicitly

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

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