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

Of all named tools, what % are you?

Top rival

ComfyUI-Impact-Pack

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

ComfyUI-Impact-Pack · recommended 2×
Grounding DINO · recommended 2×
Mask R-CNN · recommended 2×
Segment Anything Model (SAM) · recommended 1×
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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HTML

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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