RRepoGEO

REPOGEO REPORT · LITE

zai-org/CogView4

Default branch main · commit 1f21551a · scanned 5/11/2026, 6:23:42 PM

GitHub: 1,103 stars · 81 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/CogView4, 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 unique selling proposition (USP) in README

    Why:

    CURRENT
    The current README H1 is "# CogView4 & CogView3 & CogView-3Plus", and the Chinese input mention is in "Project Updates".
    COPY-PASTE FIX
    Add the following sentence directly under the main title or in the first paragraph of the README: "CogView4 excels in high-quality text-to-image generation, with specialized optimization for native Chinese input and superior performance on Chinese prompts."
  • mediumtopics#2
    Add more specific topics

    Why:

    CURRENT
    eccv2024, high-resolution, image-generation, text-to-image
    COPY-PASTE FIX
    eccv2024, high-resolution, image-generation, text-to-image, chinese-text-to-image, multilingual, diffusion-model, generative-ai
  • mediumhomepage#3
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://huggingface.co/spaces/THUDM-HF-SPACE/CogView4

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/CogView4
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DALL-E 3
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. DALL-E 3 · recommended 2×
  2. Midjourney v6 · recommended 1×
  3. Stable Diffusion XL (SDXL) · recommended 1×
  4. Adobe Firefly · recommended 1×
  5. Leonardo.Ai · recommended 1×
  • CATEGORY QUERY
    What are the best models for generating high-resolution images from text prompts?
    you: not recommended
    AI recommended (in order):
    1. Midjourney v6
    2. Stable Diffusion XL (SDXL)
    3. DALL-E 3
    4. Adobe Firefly
    5. Leonardo.Ai

    AI recommended 5 alternatives but never named zai-org/CogView4. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a text-to-image model that supports native Chinese input and generation.
    you: not recommended
    AI recommended (in order):
    1. Baidu Wenxin Yige
    2. Tencent Hunyuan
    3. Alibaba Tongyi Wanxiang
    4. Midjourney
    5. Stable Diffusion
    6. DALL-E 3

    AI recommended 6 alternatives but never named zai-org/CogView4. 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/CogView4?
    pass
    AI named zai-org/CogView4 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/CogView4 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named zai-org/CogView4 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/CogView4 solve, and who is the primary audience?
    pass
    AI named zai-org/CogView4 explicitly

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

Embed your GEO score

Drop this badge into the README of zai-org/CogView4. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/zai-org/CogView4.svg)](https://repogeo.com/en/r/zai-org/CogView4)
HTML
<a href="https://repogeo.com/en/r/zai-org/CogView4"><img src="https://repogeo.com/badge/zai-org/CogView4.svg" alt="RepoGEO" /></a>
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zai-org/CogView4 — 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