REPOGEO REPORT · LITE

IuvenisSapiens/ComfyUI_Qwen3-VL-Instruct

Default branch main · commit 70cc35ed · scanned 6/3/2026, 11:13:12 PM

GitHub: 551 stars · 63 forks

AI VISIBILITY SCORE

22 /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

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 IuvenisSapiens/ComfyUI_Qwen3-VL-Instruct, 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 README H1 to clearly state it's a ComfyUI custom node

Why:

CURRENT

# Comfyui_Qwen3-VL-Instruct

This is an implementation of Qwen3-VL-Instruct by ComfyUI...

COPY-PASTE FIX

# ComfyUI_Qwen3-VL-Instruct: Qwen3-VL-Instruct Custom Nodes for ComfyUI

This repository provides custom nodes for integrating the Qwen3-VL-Instruct series into the ComfyUI platform, enabling seamless support for text-based, video, single-image, and multi-image queries to generate captions or responses.

hightopics#2

Add relevant topics to the repository

Why:

COPY-PASTE FIX

comfyui, comfyui-custom-nodes, qwen3-vl-instruct, vision-language-model, vlm, multimodal-ai, image-captioning, video-captioning, generative-ai

mediumhomepage#3
Add a homepage URL to the repository
Why:
COPY-PASTE FIX
```
https://github.com/comfyanonymous/ComfyUI
```

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 IuvenisSapiens/ComfyUI_Qwen3-VL-Instruct

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

BLIP-2

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

BLIP-2 · recommended 2×
AWS Rekognition · recommended 2×
Hugging Face Transformers · recommended 1×
ViT-GPT2 · recommended 1×
BLIP · recommended 1×

CATEGORY QUERY
How to generate descriptive captions from various inputs like images and videos?
you: not recommended
AI recommended (in order):
1. Hugging Face Transformers
2. ViT-GPT2
3. BLIP
4. BLIP-2
5. Google Cloud Vision API
6. Microsoft Azure AI Vision
7. OpenAI CLIP
8. GPT-3
9. GPT-4
10. AWS Rekognition
11. Pytorch-Image-Captioning
12. TensorFlow Models
AI recommended 12 alternatives but never named IuvenisSapiens/ComfyUI_Qwen3-VL-Instruct. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for a tool to process text, image, and video queries for AI responses.
you: not recommended
AI recommended (in order):
1. OpenAI API
2. GPT-4o
3. GPT-4V
4. DALL-E 3
5. Whisper
6. Google Cloud Vertex AI
7. Gemini
8. Vision AI
9. Video AI
10. Speech-to-Text
11. Hugging Face Transformers (huggingface/transformers)
12. LLaVA
13. BLIP-2
14. ViT
15. ResNet
16. T5
17. GPT-2/3
18. VideoMAE
19. Azure AI Services
20. Azure OpenAI Service
21. Azure AI Vision
22. Azure AI Video Indexer
23. Azure AI Speech
24. AWS Rekognition
25. AWS Transcribe
26. Amazon Bedrock
27. Claude
28. Llama 2
29. Clarifai
AI recommended 29 alternatives but never named IuvenisSapiens/ComfyUI_Qwen3-VL-Instruct. 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 IuvenisSapiens/ComfyUI_Qwen3-VL-Instruct?
pass
AI did not name IuvenisSapiens/ComfyUI_Qwen3-VL-Instruct — 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 IuvenisSapiens/ComfyUI_Qwen3-VL-Instruct in production, what risks or prerequisites should they evaluate first?
pass
AI named IuvenisSapiens/ComfyUI_Qwen3-VL-Instruct 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 IuvenisSapiens/ComfyUI_Qwen3-VL-Instruct solve, and who is the primary audience?
pass
AI did not name IuvenisSapiens/ComfyUI_Qwen3-VL-Instruct — 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 IuvenisSapiens/ComfyUI_Qwen3-VL-Instruct. 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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IuvenisSapiens/ComfyUI_Qwen3-VL-Instruct — 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