RRepoGEO

REPOGEO REPORT · LITE

jd-opensource/JoyAI-Image

Default branch main · commit 4cf9aa3a · scanned 5/14/2026, 1:02:58 PM

GitHub: 2,140 stars · 150 forks

AI VISIBILITY SCORE
28 /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
2 / 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 jd-opensource/JoyAI-Image, 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
  • hightopics#1
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    ["multimodal-ai", "image-generation", "text-to-image", "image-editing", "foundation-model", "computer-vision", "deep-learning", "generative-ai", "diffusers", "spatial-intelligence"]
  • highreadme#2
    Add an introductory sentence to the README after the H1

    Why:

    CURRENT
    The README currently starts with the H1 and then a series of links, lacking an immediate introductory paragraph.
    COPY-PASTE FIX
    JoyAI-Image is the unified multimodal foundation model for image understanding, text-to-image generation, and instruction-guided image editing.
  • mediumhomepage#3
    Add a project homepage URL

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2605.04128

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 jd-opensource/JoyAI-Image
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. ControlNet · recommended 2×
  3. Midjourney v6 · recommended 1×
  4. Adobe Photoshop · recommended 1×
  5. Generative Fill · recommended 1×
  • CATEGORY QUERY
    How can I generate images from text descriptions and edit them with instructions?
    you: not recommended
    AI recommended (in order):
    1. Midjourney v6
    2. Adobe Photoshop
    3. Generative Fill
    4. DALL-E 3
    5. ChatGPT Plus
    6. Microsoft Copilot
    7. Stable Diffusion
    8. Automatic1111 UI
    9. ComfyUI
    10. SDXL
    11. Realistic Vision
    12. Juggernaut XL
    13. ControlNet
    14. Leonardo.Ai
    15. Fooocus

    AI recommended 15 alternatives but never named jd-opensource/JoyAI-Image. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best multimodal models for unified image understanding and generation?
    you: not recommended
    AI recommended (in order):
    1. GPT-4o
    2. DALL-E 3
    3. Gemini
    4. Stable Diffusion XL
    5. ControlNet
    6. IP-Adapter
    7. CogVLM
    8. CogView
    9. LLaVA
    10. BLIP-2

    AI recommended 10 alternatives but never named jd-opensource/JoyAI-Image. 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 jd-opensource/JoyAI-Image?
    pass
    AI did not name jd-opensource/JoyAI-Image — likely talking about a different project

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

  • If a team adopts jd-opensource/JoyAI-Image in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jd-opensource/JoyAI-Image 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 jd-opensource/JoyAI-Image solve, and who is the primary audience?
    pass
    AI named jd-opensource/JoyAI-Image 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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jd-opensource/JoyAI-Image — RepoGEO report