RRepoGEO

REPOGEO REPORT · LITE

jina-ai/discoart

Default branch main · commit 03946299 · scanned 5/16/2026, 5:07:13 PM

GitHub: 3,831 stars · 243 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
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 jina-ai/discoart, 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 README's opening to highlight programmatic, multi-model abstraction

    Why:

    CURRENT
    <p align="center">
<b>Create compelling Disco Diffusion artworks in one line</b>
</p>
    COPY-PASTE FIX
    <p align="center">
<b>DiscoArt is a unified, programmatic Python library and CLI for generating high-quality AI art from text prompts, abstracting away the complexities of various diffusion models like Disco Diffusion and DALL-E.</b>
</p>
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://jina.ai/discoart
  • lowreadme#3
    Clarify the project's license directly in the README

    Why:

    COPY-PASTE FIX
    This project is licensed under [License Name(s)]. See the LICENSE file for full details.

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 jina-ai/discoart
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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. DALL-E 3 · recommended 1×
  2. Midjourney · recommended 1×
  3. Stable Diffusion · recommended 1×
  4. Hugging Face Diffusers Library · recommended 1×
  5. Replicate API · recommended 1×
  • CATEGORY QUERY
    How can I programmatically generate creative images from text descriptions with minimal code?
    you: not recommended
    AI recommended (in order):
    1. DALL-E 3
    2. Midjourney
    3. Stable Diffusion
    4. Hugging Face Diffusers Library
    5. Replicate API
    6. Google Imagen
    7. Google Cloud Vertex AI
    8. Adobe Firefly

    AI recommended 8 alternatives but never named jina-ai/discoart. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best open-source tools for creating AI art using guided diffusion techniques?
    you: not recommended
    AI recommended (in order):
    1. Automatic1111's Stable Diffusion web UI
    2. ComfyUI
    3. InvokeAI
    4. Diffusers
    5. Fooocus
    6. SD.Next

    AI recommended 6 alternatives but never named jina-ai/discoart. 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 jina-ai/discoart?
    pass
    AI named jina-ai/discoart explicitly

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

  • If a team adopts jina-ai/discoart in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jina-ai/discoart 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 jina-ai/discoart solve, and who is the primary audience?
    pass
    AI named jina-ai/discoart explicitly

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

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jina-ai/discoart — 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