RRepoGEO

REPOGEO REPORT · LITE

kandinskylab/kandinsky-5

Default branch main · commit 3a74261b · scanned 6/13/2026, 10:12:32 PM

GitHub: 774 stars · 60 forks

AI VISIBILITY SCORE
27 /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
1 / 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 kandinskylab/kandinsky-5, 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 opening to emphasize video and its top ranking

    Why:

    CURRENT
    In this repository, we provide a family of diffusion models to generate a video or an image given a textual prompt and/or image.
    COPY-PASTE FIX
    Kandinsky 5.0 is a leading family of diffusion models for high-quality video and image generation, notably ranked as the Top-1 open-source Text-to-Video model at LMArena. This repository provides models to generate video clips or images from textual prompts and/or input images.
  • hightopics#2
    Expand topics to include more specific video generation terms

    Why:

    CURRENT
    diffusion, distillation, kandinsky, text-to-video, video, video-generation
    COPY-PASTE FIX
    diffusion, distillation, kandinsky, text-to-video, video, video-generation, generative-video, ai-video-generator, video-synthesis
  • mediumreadme#3
    Add a dedicated 'Key Features' or 'Why Kandinsky 5.0?' section to the README

    Why:

    COPY-PASTE FIX
    ## Key Features
*   **Top-tier Video Generation:** Ranked as the Top-1 open-source Text-to-Video model at LMArena.
*   **Versatile Media Creation:** Generate both high-quality video clips and still images.
*   **Multilingual Support:** Leverage a robust multilingual text encoder for diverse prompt inputs.
*   **Model Family:** Access a range of models including Video Pro, Video Lite, and Image Lite.

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 kandinskylab/kandinsky-5
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Stable Diffusion
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Stable Diffusion · recommended 2×
  2. RunwayML Gen-2 · recommended 1×
  3. Midjourney · recommended 1×
  4. Pika Labs · recommended 1×
  5. Deforum Stable Diffusion · recommended 1×
  • CATEGORY QUERY
    How can I generate high-quality video clips and images from text prompts?
    you: not recommended
    AI recommended (in order):
    1. RunwayML Gen-2
    2. Midjourney
    3. Pika Labs
    4. Stable Diffusion
    5. Deforum Stable Diffusion
    6. AnimateDiff
    7. DALL-E 3
    8. ChatGPT Plus
    9. Leonardo.Ai
    10. Adobe Firefly

    AI recommended 10 alternatives but never named kandinskylab/kandinsky-5. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for open-source diffusion models to create videos and still images.
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion
    2. Stable Video Diffusion
    3. RunwayML Gen-1 / Gen-2
    4. Meta Make-A-Video
    5. Google Phenaki
    6. Kandinsky

    AI recommended 6 alternatives but never named kandinskylab/kandinsky-5. 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 kandinskylab/kandinsky-5?
    pass
    AI did not name kandinskylab/kandinsky-5 — 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 kandinskylab/kandinsky-5 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named kandinskylab/kandinsky-5 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 kandinskylab/kandinsky-5 solve, and who is the primary audience?
    pass
    AI did not name kandinskylab/kandinsky-5 — 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?

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kandinskylab/kandinsky-5 — 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