REPOGEO REPORT · LITE

1038lab/ComfyUI-QwenVL

Default branch main · commit fcd1ada8 · scanned 6/12/2026, 10:37:57 AM

GitHub: 782 stars · 124 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 1038lab/ComfyUI-QwenVL, 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

Expand repository topics for better category visibility

Why:

CURRENT

comfyui, customnodes, qwen-vl, qwen3-vl

COPY-PASTE FIX

comfyui, customnodes, qwen-vl, qwen3-vl, gguf, vision-language-model, multimodal-ai, image-understanding, video-analysis

mediumhomepage#2
Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIX
```
https://github.com/1038lab/ComfyUI-QwenVL
```

lowreadme#3

Refine README opening for stronger self-mention

Why:

CURRENT

# **QwenVL for ComfyUI**

The ComfyUI-QwenVL custom node integrates the powerful Qwen-VL series of vision-language models (LVLMs) from Alibaba Cloud, including the latest Qwen3-VL and Qwen2.5-VL, plus GGUF backends and text-only Qwen3 support. This advanced node enables seamless multimodal AI capabilities within your ComfyUI workflows, allowing for efficient text generation, image understanding, and video analysis.

COPY-PASTE FIX

# **ComfyUI-QwenVL: Qwen-VL Integration for ComfyUI**

This ComfyUI-QwenVL custom node provides the definitive integration for Alibaba Cloud's powerful Qwen-VL series of vision-language models (LVLMs), including the latest Qwen3-VL and Qwen2.5-VL, with robust GGUF backends and text-only Qwen3 support. It enables seamless multimodal AI capabilities within your ComfyUI workflows, allowing for efficient text generation, image understanding, and video analysis.

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-QwenVL

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

ComfyUI Manager

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

ComfyUI Manager · recommended 1×
ComfyUI_LLaVA / ComfyUI_LLaVA_Nodes · recommended 1×
ComfyUI-Image-Captioning · recommended 1×
ComfyUI_VLM_nodes · recommended 1×
Hugging Face Transformers · recommended 1×

CATEGORY QUERY
How can I integrate advanced multimodal AI models into my ComfyUI workflows?
you: not recommended
AI recommended (in order):
1. ComfyUI Manager
2. ComfyUI_LLaVA / ComfyUI_LLaVA_Nodes
3. ComfyUI-Image-Captioning
4. ComfyUI_VLM_nodes
5. Hugging Face Transformers
6. LLaVA
7. BLIP / BLIP-2
8. CLIP
9. MiniGPT-4
10. OpenAI API
11. GPT-4V
12. DALL-E 3
13. ComfyUI_OpenAI_Nodes
14. Google Gemini API
15. Gemini Pro Vision
16. ComfyUI_Google_Gemini_Nodes
17. PyTorch
AI recommended 17 alternatives but never named 1038lab/ComfyUI-QwenVL. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What tools support GGUF vision-language models for image and video analysis?
you: not recommended
AI recommended (in order):
1. llama.cpp (ggerganov/llama.cpp)
2. LlamaIndex (run-llama/llama_index)
3. LangChain (langchain-ai/langchain)
4. Ollama (ollama/ollama)
5. Hugging Face `transformers` library (huggingface/transformers)
6. PrivateGPT (PrivateGPT/PrivateGPT)
AI recommended 6 alternatives but never named 1038lab/ComfyUI-QwenVL. 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 1038lab/ComfyUI-QwenVL?
pass
AI named 1038lab/ComfyUI-QwenVL explicitly
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-QwenVL in production, what risks or prerequisites should they evaluate first?
pass
AI named 1038lab/ComfyUI-QwenVL 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-QwenVL solve, and who is the primary audience?
pass
AI did not name 1038lab/ComfyUI-QwenVL — 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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Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/1038lab/ComfyUI-QwenVL.svg)](https://repogeo.com/en/r/1038lab/ComfyUI-QwenVL)

HTML

<a href="https://repogeo.com/en/r/1038lab/ComfyUI-QwenVL"><img src="https://repogeo.com/badge/1038lab/ComfyUI-QwenVL.svg" alt="RepoGEO" /></a>

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1038lab/ComfyUI-QwenVL — 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