RRepoGEO

REPOGEO REPORT · LITE

zai-org/VisualGLM-6B

Default branch main · commit e314fb9c · scanned 5/22/2026, 1:13:07 AM

GitHub: 4,159 stars · 425 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 zai-org/VisualGLM-6B, 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 the core project description to the top of the README

    Why:

    CURRENT
    # VisualGLM-6B

<p align="center">
🤗 <a href="https://huggingface.co/THUDM/visualglm-6b" target="_blank">HF Repo</a> • ⚒️ <a href="https://github.com/THUDM/SwissArmyTransformer" target="_blank">SwissArmyTransformer (sat)</a> • 🐦 <a href="https://twitter.com/thukeg" target="_blank">Twitter</a> 
</p>
...
## News
[2023.10] ...

## 介绍
VisualGLM-6B is an open-source, multi-modal dialog language model...
    COPY-PASTE FIX
    # VisualGLM-6B

VisualGLM-6B is an open-source, multi-modal dialog language model that supports **images, Chinese, and English**. The language model is based on ChatGLM-6B with 6.2 billion parameters; the image part builds a bridge between the visual model and the language model through the training of BLIP2-Qformer, with the total model comprising 7.8 billion parameters.

<p align="center">
🤗 <a href="https://huggingface.co/THUDM/visualglm-6b" target="_blank">HF Repo</a> • ⚒️ <a href="https://github.com/THUDM/SwissArmyTransformer" target="_blank">SwissArmyTransformer (sat)</a> • 🐦 <a href="https://twitter.com/thukeg" target="_blank">Twitter</a> 
</p>
...
  • hightopics#2
    Update repository topics to be more specific and include 'open-source' and 'bilingual'

    Why:

    CURRENT
    chatglm-6b, gpt, multi-modal
    COPY-PASTE FIX
    multimodal-llm, open-source-ai, bilingual-ai, vision-language-model, chatglm-6b
  • mediumhomepage#3
    Add a homepage link to the repository metadata

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://huggingface.co/THUDM/visualglm-6b

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/VisualGLM-6B
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GPT-4V
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. GPT-4V · recommended 2×
  2. GPT-4 · recommended 2×
  3. GPT-3.5 Turbo · recommended 2×
  4. Google Cloud Vertex AI · recommended 1×
  5. Gemini Pro Vision · recommended 1×
  • CATEGORY QUERY
    How to build a conversational AI system that understands both images and bilingual text?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Vertex AI
    2. Gemini Pro Vision
    3. PaLM 2
    4. Gemini Pro Text
    5. Vertex AI Conversation
    6. Dialogflow CX
    7. Dialogflow ES
    8. Azure AI Services
    9. Azure OpenAI Service
    10. GPT-4V
    11. GPT-4
    12. GPT-3.5 Turbo
    13. Azure AI Vision
    14. Azure Bot Service
    15. Microsoft Copilot Studio
    16. Hugging Face Transformers (huggingface/transformers)
    17. BLIP-2
    18. LLaVA (haotian-liu/LLaVA)
    19. mT5 (Multilingual T5)
    20. NLLB (No Language Left Behind)
    21. Rasa (RasaHQ/rasa)
    22. Amazon Web Services (AWS)
    23. Amazon Rekognition
    24. Amazon Titan Multimodal Embeddings
    25. Amazon Translate
    26. Amazon Comprehend
    27. Amazon Lex
    28. OpenAI API
    29. GPT-4V
    30. GPT-4
    31. GPT-3.5 Turbo
    32. LangChain (langchain-ai/langchain)
    33. LlamaIndex (run-llama/llama_index)

    AI recommended 33 alternatives but never named zai-org/VisualGLM-6B. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which open-source models support multimodal conversations in both English and Chinese?
    you: not recommended
    AI recommended (in order):
    1. Qwen-VL-Chat
    2. LLaVA-1.5
    3. MiniGPT-4 / MiniGPT-v2
    4. InternLM-XComposer
    5. PandaGPT

    AI recommended 5 alternatives but never named zai-org/VisualGLM-6B. 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/VisualGLM-6B?
    pass
    AI named zai-org/VisualGLM-6B 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/VisualGLM-6B in production, what risks or prerequisites should they evaluate first?
    pass
    AI named zai-org/VisualGLM-6B 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/VisualGLM-6B solve, and who is the primary audience?
    pass
    AI named zai-org/VisualGLM-6B explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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zai-org/VisualGLM-6B — 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