RRepoGEO

REPOGEO REPORT · LITE

jina-ai/dalle-flow

Default branch main · commit 8539f979 · scanned 5/15/2026, 12:03:58 AM

GitHub: 2,833 stars · 211 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 jina-ai/dalle-flow, 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 sentence to emphasize its platform role

    Why:

    CURRENT
    A Human-in-the-loop workflow for creating HD images from text
    COPY-PASTE FIX
    DALL·E Flow is a comprehensive, interactive text-to-image generation platform that provides a human-in-the-loop workflow for creating high-definition images from text prompts.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root.
  • mediumtopics#3
    Expand repository topics with broader category keywords

    Why:

    CURRENT
    dalle, dalle-mega, dalle-mini, generative-art, glid3, human-in-the-loop, jina, neural-search, openai, swinir
    COPY-PASTE FIX
    dalle, dalle-mega, dalle-mini, generative-art, glid3, human-in-the-loop, jina, neural-search, openai, swinir, text-to-image, image-generation, ai-art, diffusion-models, upscaling, interactive-ai

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/dalle-flow
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Midjourney
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Midjourney · recommended 2×
  2. Leonardo.Ai · recommended 2×
  3. Stable Diffusion · recommended 1×
  4. Automatic1111 · recommended 1×
  5. InvokeAI · recommended 1×
  • CATEGORY QUERY
    How to generate high-definition images from text prompts with human feedback?
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion
    2. Automatic1111
    3. InvokeAI
    4. Midjourney
    5. DALL-E 3
    6. ChatGPT Plus
    7. Microsoft Copilot
    8. Adobe Firefly
    9. Photoshop
    10. Illustrator
    11. Leonardo.Ai
    12. Topaz Gigapixel AI

    AI recommended 12 alternatives but never named jina-ai/dalle-flow. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools provide an interactive workflow for text-to-image generation and upscaling?
    you: not recommended
    AI recommended (in order):
    1. Automatic1111 Stable Diffusion Web UI (AUTOMATIC1111/stable-diffusion-webui)
    2. ComfyUI (comfyanonymous/ComfyUI)
    3. Fooocus (lllyasviel/Fooocus)
    4. InvokeAI (invoke-ai/InvokeAI)
    5. Midjourney
    6. Leonardo.Ai

    AI recommended 6 alternatives but never named jina-ai/dalle-flow. 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/dalle-flow?
    pass
    AI did not name jina-ai/dalle-flow — 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 jina-ai/dalle-flow in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jina-ai/dalle-flow 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/dalle-flow solve, and who is the primary audience?
    pass
    AI named jina-ai/dalle-flow 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/dalle-flow. 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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  • Brand-free category queries5 vs 2 in Lite
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