RRepoGEO

REPOGEO REPORT · LITE

ai-forever/ru-dalle

Default branch master · commit 0255cec5 · scanned 5/17/2026, 3:51:41 PM

GitHub: 1,647 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)

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

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 ai-forever/ru-dalle, 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 H1/H2 to emphasize Russian language

    Why:

    CURRENT
    # ruDALL-E
### Generate images from texts
    COPY-PASTE FIX
    # ruDALL-E: State-of-the-Art Russian Text-to-Image Generation
### Generate high-quality images from Russian texts with powerful DALL-E models.
  • mediumcomparison#2
    Add a 'Why ruDALL-E?' or 'Key Differentiators' section to README

    Why:

    COPY-PASTE FIX
    ## Why choose ruDALL-E?
Unlike general text-to-image models, ruDALL-E is specifically trained and optimized for the Russian language and cultural context, ensuring higher relevance and quality for Russian prompts.
  • lowexamples#3
    Ensure README examples prominently feature Russian text prompts

    Why:

    COPY-PASTE FIX
    Review all code examples in the README (e.g., 'Minimal Example', 'Finetuning example') and ensure the text prompts used for image generation are clearly in Russian. For instance, `text = "кошка на крыше"` instead of `text = "cat on a roof"`.

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 ai-forever/ru-dalle
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. DALL-E 3 · recommended 2×
  3. Stable Diffusion · recommended 2×
  4. Kandinsky 2.2 · recommended 2×
  5. ChatGPT Plus · recommended 1×
  • CATEGORY QUERY
    How can I generate high-quality visual content from Russian textual 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
    7. ComfyUI
    8. DreamStudio
    9. Kandinsky 2.2
    10. Leonardo.Ai
    11. NightCafe Creator

    AI recommended 11 alternatives but never named ai-forever/ru-dalle. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Python-based solution to create images from non-English text prompts.
    you: not recommended
    AI recommended (in order):
    1. DALL-E 3
    2. Stable Diffusion
    3. Midjourney
    4. DeepFloyd IF
    5. Kandinsky 2.2

    AI recommended 5 alternatives but never named ai-forever/ru-dalle. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 ai-forever/ru-dalle?
    pass
    AI did not name ai-forever/ru-dalle — 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 ai-forever/ru-dalle in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ai-forever/ru-dalle 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 ai-forever/ru-dalle solve, and who is the primary audience?
    pass
    AI named ai-forever/ru-dalle explicitly

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

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  • Brand-free category queries5 vs 2 in Lite
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ai-forever/ru-dalle — RepoGEO report