REPOGEO REPORT · LITE

alibaba/AliceMind

Default branch main · commit a6d5afe5 · scanned 5/18/2026, 1:52:15 PM

GitHub: 2,044 stars · 299 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE

35 /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

3 / 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 alibaba/AliceMind, 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 opening to emphasize AliceMind as a collection of multimodal and Chinese LLMs

Why:

CURRENT

# AliceMind
#### AliceMind: ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab
This repository provides pre-trained encoder-decoder models and its related optimization techniques developed by Alibaba's MinD (Machine IntelligeNce of Damo) Lab.

COPY-PASTE FIX

# AliceMind: Alibaba's Collection of State-of-the-Art Multimodal and Chinese Large Language Models
#### AliceMind: ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab
This repository provides a comprehensive collection of pre-trained multimodal and Chinese large language models (LLMs), along with their related optimization techniques, developed by Alibaba's MinD (Machine IntelligeNce of Damo) Lab. AliceMind is your go-to resource for cutting-edge models in multimodal understanding and generation, Chinese video-language processing, and advanced dialogue systems.

mediumtopics#2

Add specific topics for multimodal LLMs and video-language models

Why:

CURRENT

bert, deep-learning, natural-language-processing, nlp

COPY-PASTE FIX

bert, deep-learning, natural-language-processing, nlp, large-language-models, llm, multimodal-ai, multimodal-llm, video-llm, chinese-nlp, dialogue-systems

lowhomepage#3
Add a homepage URL to the repository settings
Why:
COPY-PASTE FIX
```
https://damo.alibaba.com/research/nlp
```

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 alibaba/AliceMind

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

MiniGPT-4

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

MiniGPT-4 · recommended 2×
LLaVA · recommended 1×
CogVLM · recommended 1×
Fuyu-8B · recommended 1×
BakLLaVA · recommended 1×

CATEGORY QUERY
What are good open-source large language models for multimodal understanding and generation?
you: not recommended
AI recommended (in order):
1. LLaVA
2. CogVLM
3. Fuyu-8B
4. BakLLaVA
5. Qwen-VL
6. MiniGPT-4
AI recommended 6 alternatives but never named alibaba/AliceMind. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for pre-trained models to enhance Chinese video-language understanding and dialogue systems.
you: not recommended
AI recommended (in order):
1. Video-ChatGPT
2. InternVideo
3. BLIP-2
4. mPLUG-Owl
5. MiniGPT-4
6. PandaGPT
7. LLaMA/LLaMA 2
8. Chinese-LLaMA-Alpaca
AI recommended 8 alternatives but never named alibaba/AliceMind. 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 alibaba/AliceMind?
pass
AI named alibaba/AliceMind explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts alibaba/AliceMind in production, what risks or prerequisites should they evaluate first?
pass
AI named alibaba/AliceMind 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 alibaba/AliceMind solve, and who is the primary audience?
pass
AI named alibaba/AliceMind explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/alibaba/AliceMind.svg)](https://repogeo.com/en/r/alibaba/AliceMind)

HTML

<a href="https://repogeo.com/en/r/alibaba/AliceMind"><img src="https://repogeo.com/badge/alibaba/AliceMind.svg" alt="RepoGEO" /></a>

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Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite