REPOGEO REPORT · LITE

jina-ai/discoart

Default branch main · commit 03946299 · scanned 6/27/2026, 2:41:40 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 the README's opening to emphasize programmatic integration

Why:

CURRENT

Create compelling Disco Diffusion artworks in one line

DiscoArt is an elegant way of creating compelling Disco Diffusion artworks for generative artists, AI enthusiasts and hard-core developers. DiscoArt has a modern & professional API with a beautiful codebase, ensuring high usability and maintainability. It introduces handy features such as result recovery and persistence, gRPC/HTTP serving w/o TLS, post-analysis, easing the integration to larger cross-modal or multi-modal applications.

COPY-PASTE FIX

DiscoArt is a Python library and API for programmatically generating high-quality Disco Diffusion artworks from text prompts, designed for generative artists, AI enthusiasts, and developers integrating text-to-image models into applications. It offers an elegant, modern API for creating compelling Disco Diffusion artworks in one line, with features like result recovery, persistence, and gRPC/HTTP serving.

mediumhomepage#2
Add a homepage URL to the repository's 'About' section
Why:
COPY-PASTE FIX
```
https://jina.ai/discoart
```

lowlicense#3

Clarify the project's license in the README

Why:

COPY-PASTE FIX

## License

DiscoArt's licensing terms are detailed in the `LICENSE` file. Please refer to it for specific usage rights and restrictions.

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

Of all named tools, what % are you?

Top rival

Midjourney

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Midjourney · recommended 1×
DALL-E 3 · recommended 1×
ChatGPT Plus · recommended 1×
Microsoft Copilot Pro · recommended 1×
Stable Diffusion · recommended 1×

CATEGORY QUERY
How can I easily generate high-quality AI artworks from text descriptions?
you: not recommended
AI recommended (in order):
1. Midjourney
2. DALL-E 3
3. ChatGPT Plus
4. Microsoft Copilot Pro
5. Stable Diffusion
6. Automatic1111 web UI (AUTOMATIC1111/stable-diffusion-webui)
7. ComfyUI (comfyanonymous/ComfyUI)
8. DreamStudio
9. Leonardo.Ai
10. Adobe Firefly
AI recommended 10 alternatives but never named jina-ai/discoart. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What tools help integrate text-to-image generative art models into custom applications?
you: not recommended
AI recommended (in order):
1. Hugging Face Diffusers
2. OpenAI DALL-E API
3. Stability AI API
4. Replicate
5. RunPod
6. Vast.ai
7. Google Cloud Vertex AI
AI recommended 7 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?

Embed your GEO score

Drop this badge into the README of jina-ai/discoart. 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/jina-ai/discoart.svg)](https://repogeo.com/en/r/jina-ai/discoart)

HTML

<a href="https://repogeo.com/en/r/jina-ai/discoart"><img src="https://repogeo.com/badge/jina-ai/discoart.svg" alt="RepoGEO" /></a>

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Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite