RRepoGEO

REPOGEO REPORT · LITE

jd-opensource/JoyAI-Image

Default branch main · commit d6b6fae8 · scanned 6/25/2026, 2:08:08 AM

GitHub: 2,180 stars · 156 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 the repository

    Why:

    COPY-PASTE FIX
    multimodal-ai, foundation-model, image-generation, text-to-image, image-editing, computer-vision, deep-learning, diffusers, openspatial
  • highreadme#2
    Add an explicit positioning statement in the README introduction

    Why:

    COPY-PASTE FIX
    Add this sentence immediately after the main H1 title: "JoyAI-Image is an open-source unified multimodal foundation model designed for broad applications in image understanding, text-to-image generation, and instruction-guided image editing, offering a powerful and accessible alternative to proprietary solutions."
  • mediumhomepage#3
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://github.com/jd-opensource/JoyAI-Image

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. Midjourney · recommended 2×
  3. Adobe Firefly · recommended 2×
  4. Google Imagen · recommended 2×
  5. Stable Diffusion XL (SDXL) · recommended 1×
  • CATEGORY QUERY
    What unified multimodal models offer text-to-image generation and instruction-guided image editing capabilities?
    you: not recommended
    AI recommended (in order):
    1. DALL-E 3
    2. Midjourney
    3. Stable Diffusion XL (SDXL)
    4. Clipdrop
    5. ControlNet
    6. Adobe Firefly
    7. Google Imagen
    8. Ideogram

    AI recommended 8 alternatives but never named jd-opensource/JoyAI-Image. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to find a foundation model for comprehensive image understanding, generation, and editing?
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion
    2. DALL-E 3
    3. Midjourney
    4. Google Imagen
    5. CLIP
    6. Adobe Firefly

    AI recommended 6 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

Drop this badge into the README of jd-opensource/JoyAI-Image. 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)
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HTML
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jd-opensource/JoyAI-Image — 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