RRepoGEO

REPOGEO REPORT · LITE

carson-katri/dream-textures

Default branch main · commit c2622a8a · scanned 5/28/2026, 5:46:55 PM

GitHub: 8,162 stars · 434 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 carson-katri/dream-textures, 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 opening with a clear value proposition

    Why:

    CURRENT
    The README currently starts with badges and feature bullet points.
    COPY-PASTE FIX
    Dream Textures is the leading open-source Blender add-on that seamlessly integrates Stable Diffusion, allowing 3D artists to generate textures, concept art, and more directly within Blender.
  • mediumhomepage#2
    Add the homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://www.blendermarket.com/products/dream-textures
  • mediumtopics#3
    Add more specific topics related to 3D texture generation

    Why:

    CURRENT
    ai, blender, blender-addon, image-generation, stable-diffusion
    COPY-PASTE FIX
    ai, blender, blender-addon, image-generation, stable-diffusion, texture-generation, 3d-art, concept-art, seamless-textures

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 carson-katri/dream-textures
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Photoshop
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Photoshop · recommended 2×
  2. Dream Textures · recommended 1×
  3. Blender AI Tools (by Blender Sensei) · recommended 1×
  4. Blender Stable Diffusion Addon (by carlchm) · recommended 1×
  5. Midjourney · recommended 1×
  • CATEGORY QUERY
    How can I generate AI-powered textures and concept art directly within Blender?
    you: not recommended
    AI recommended (in order):
    1. Dream Textures
    2. Blender AI Tools (by Blender Sensei)
    3. Blender Stable Diffusion Addon (by carlchm)
    4. Midjourney
    5. DALL-E 3
    6. Stable Diffusion WebUI (Automatic1111/ComfyUI)
    7. Leonardo.Ai
    8. Material Maker
    9. Krita
    10. Photoshop

    AI recommended 10 alternatives but never named carson-katri/dream-textures. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools allow generating seamless 3D model textures from text prompts locally?
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion
    2. Automatic1111's Stable Diffusion web UI
    3. ControlNet
    4. ComfyUI
    5. InvokeAI
    6. Fooocus
    7. DreamStudio
    8. Seamless Texture Generator
    9. Photoshop
    10. GIMP

    AI recommended 10 alternatives but never named carson-katri/dream-textures. 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 carson-katri/dream-textures?
    pass
    AI did not name carson-katri/dream-textures — 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 carson-katri/dream-textures in production, what risks or prerequisites should they evaluate first?
    pass
    AI named carson-katri/dream-textures 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 carson-katri/dream-textures solve, and who is the primary audience?
    pass
    AI named carson-katri/dream-textures explicitly

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

Embed your GEO score

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