RRepoGEO

REPOGEO REPORT · LITE

zai-org/CogVLM

Default branch main · commit f7283b2c · scanned 6/28/2026, 11:53:18 AM

GitHub: 6,742 stars · 453 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/CogVLM, 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, direct value proposition to the top of the README

    Why:

    CURRENT
    # CogVLM & CogAgent

📗 [中文版README](./README_zh.md)

🌟 **Jump to detailed introduction: [Introduction to CogVLM](#introduction-to-cogvlm)，
🆕 [Introduction to CogAgent](#introduction-to-cogagent)**
    COPY-PASTE FIX
    # CogVLM & CogAgent

**CogVLM is a state-of-the-art open-source visual language model (VLM) excelling in image understanding and multi-turn dialogue, with CogAgent extending capabilities to GUI agents.**

📗 [中文版README](./README_zh.md)

🌟 **Jump to detailed introduction: [Introduction to CogVLM](#introduction-to-cogvlm)，
🆕 [Introduction to CogAgent](#introduction-to-cogagent)**
  • highhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://cogvlm.ai
  • mediumtopics#3
    Expand repository topics with more specific terms

    Why:

    CURRENT
    cross-modality, language-model, multi-modal, pretrained-models, visual-language-models
    COPY-PASTE FIX
    cross-modality, language-model, multi-modal, pretrained-models, visual-language-models, vlm, multimodal-llm, image-understanding, multi-turn-dialogue, gui-agent

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/CogVLM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LLaVA
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LLaVA · recommended 1×
  2. InstructBLIP · recommended 1×
  3. MiniGPT-4 · recommended 1×
  4. mPLUG-Owl · recommended 1×
  5. Otter · recommended 1×
  • CATEGORY QUERY
    What are the best open-source visual language models for image understanding and multi-turn dialogue?
    you: not recommended
    AI recommended (in order):
    1. LLaVA
    2. InstructBLIP
    3. MiniGPT-4
    4. mPLUG-Owl
    5. Otter
    6. Qwen-VL

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

    Show full AI answer
  • CATEGORY QUERY
    Seeking a powerful multi-modal pretrained model excelling in cross-modal benchmarks and high-resolution input.
    you: not recommended
    AI recommended (in order):
    1. OpenAI's CLIP
    2. Google's PaLI
    3. Google's Flamingo
    4. Meta's Data2vec
    5. Microsoft's Florence

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