RRepoGEO

REPOGEO REPORT · LITE

ai-forever/Kandinsky-2

Default branch main · commit aeefc1ce · scanned 5/14/2026, 1:27:49 AM

GitHub: 2,816 stars · 319 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 ai-forever/Kandinsky-2, 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
  • highabout#1
    Update repository description to explicitly include 'Kandinsky 2.2'

    Why:

    CURRENT
    Kandinsky 2 — multilingual text2image latent diffusion model
    COPY-PASTE FIX
    Official repository for Kandinsky 2.2 — a multilingual text2image latent diffusion model with ControlNet support.
  • mediumhomepage#2
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://fusionbrain.ai/
  • lowreadme#3
    Add a concise introductory sentence to the README highlighting unique strengths

    Why:

    COPY-PASTE FIX
    This repository provides the official implementation of Kandinsky 2.2, featuring a powerful CLIP-ViT-G encoder, multilingual text understanding, and advanced ControlNet support for precise image generation.

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/Kandinsky-2
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Stable Diffusion XL (SDXL)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Stable Diffusion XL (SDXL) · recommended 1×
  2. Stable Diffusion 1.5 / 2.1 · recommended 1×
  3. DeepFloyd IF · recommended 1×
  4. Kandinsky 2.2 · recommended 1×
  5. Playground v2.5 · recommended 1×
  • CATEGORY QUERY
    What are the best open-source latent diffusion models for generating high-quality images from text?
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion XL (SDXL)
    2. Stable Diffusion 1.5 / 2.1
    3. DeepFloyd IF
    4. Kandinsky 2.2
    5. Playground v2.5
    6. PixArt-α

    AI recommended 6 alternatives but never named ai-forever/Kandinsky-2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a flexible image generation model with ControlNet support for precise creative control.
    you: not recommended
    AI recommended (in order):
    1. Stability AI Stable Diffusion XL (SDXL)
    2. Stability AI Stable Diffusion 1.5
    3. Fooocus
    4. ComfyUI
    5. InvokeAI

    AI recommended 5 alternatives but never named ai-forever/Kandinsky-2. 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 ai-forever/Kandinsky-2?
    pass
    AI did not name ai-forever/Kandinsky-2 — 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/Kandinsky-2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ai-forever/Kandinsky-2 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/Kandinsky-2 solve, and who is the primary audience?
    pass
    AI named ai-forever/Kandinsky-2 explicitly

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

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ai-forever/Kandinsky-2 — 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