REPOGEO REPORT · LITE

zai-org/CogVLM2

Default branch main · commit 6700ae7c · scanned 5/29/2026, 9:17:21 PM

GitHub: 2,438 stars · 163 forks

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 zai-org/CogVLM2, 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

Add a concise value proposition to the top of the README

Why:

CURRENT

# CogVLM2 & CogVLM2-Video

[中文版README](./README_zh.md)

<div align="center">
 
</div>

<p align="center">
    👋 Join our <a href="resources/WECHAT.md" target="_blank">Wechat</a> · 💡Try CogVLM2 <a href="http://cogvlm2-online.cogviewai.cn:7861/" target="_blank">Online</a> 💡Try CogVLM2-Video <a href="http://cogvlm2-online.cogviewai.cn:7868/" target="_blank">Online</a>
</p>
<p align="center">
📍Experience the larger-scale CogVLM model on the <a href="https://open.bigmodel.cn/?utm_campaign=open&_channel_track_key=OWTVNma9">ZhipuAI Open Platform</a>.
</p>

## Recent updates

COPY-PASTE FIX

# CogVLM2 & CogVLM2-Video

CogVLM2 is a GPT4V-level open-source multi-modal model built on Llama3-8B, offering advanced vision-language capabilities and comprehensive video understanding.

[中文版README](./README_zh.md)

<div align="center">
 
</div>

<p align="center">
    👋 Join our <a href="resources/WECHAT.md" target="_blank">Wechat</a> · 💡Try CogVLM2 <a href="http://cogvlm2-online.cogviewai.cn:7861/" target="_blank">Online</a> 💡Try CogVLM2-Video <a href="http://cogvlm2-online.cogviewai.cn:7868/" target="_blank">Online</a>
</p>
<p align="center">
📍Experience the larger-scale CogVLM model on the <a href="https://open.bigmodel.cn/?utm_campaign=open&_channel_track_key=OWTVNma9">ZhipuAI Open Platform</a>.
</p>

## Recent updates

mediumhomepage#2
Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIX
```
http://cogvlm2-online.cogviewai.cn:7861/
```

mediumtopics#3

Add more specific topics to improve categorization

Why:

CURRENT

cogvlm, language-model, multi-modal, pretrained-models

COPY-PASTE FIX

cogvlm, language-model, multi-modal, pretrained-models, vision-language-model, large-multimodal-model, video-understanding

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 zai-org/CogVLM2

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

LLaVA

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

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

CATEGORY QUERY
Which open-source multi-modal models provide GPT4V-level performance for vision-language tasks?
you: not recommended
AI recommended (in order):
1. LLaVA
2. CogVLM
3. Fuyu-8B
4. BakLLaVA
5. MiniGPT-4 / MiniGPT-v2
6. Qwen-VL
7. BLIP-2
AI recommended 7 alternatives but never named zai-org/CogVLM2. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking a robust open-source multi-modal model for comprehensive video and image understanding.
you: not recommended
AI recommended (in order):
1. LLaVA
2. BLIP-2
3. OpenFlamingo
4. InternVL
5. MiniGPT-4
6. Video-LLaMA
AI recommended 6 alternatives but never named zai-org/CogVLM2. 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 zai-org/CogVLM2?
pass
AI named zai-org/CogVLM2 explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts zai-org/CogVLM2 in production, what risks or prerequisites should they evaluate first?
pass
AI named zai-org/CogVLM2 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 zai-org/CogVLM2 solve, and who is the primary audience?
pass
AI named zai-org/CogVLM2 explicitly
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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MARKDOWN (README)

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HTML

<a href="https://repogeo.com/en/r/zai-org/CogVLM2"><img src="https://repogeo.com/badge/zai-org/CogVLM2.svg" alt="RepoGEO" /></a>

Pro

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zai-org/CogVLM2 — 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