RRepoGEO

REPOGEO REPORT · LITE

Maks-s/sd-akashic

Default branch master · commit 3947f210 · scanned 6/26/2026, 5:32:48 PM

GitHub: 1,637 stars · 79 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)

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

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 Maks-s/sd-akashic, 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 clarify its role as a curated resource compendium

    Why:

    CURRENT
    A compendium of information regarding Stable Diffusion (SD)
    COPY-PASTE FIX
    A curated compendium of studies, art styles, prompts, and essential resources for Stable Diffusion.
  • highhomepage#2
    Add repository URL as homepage

    Why:

    COPY-PASTE FIX
    https://github.com/Maks-s/sd-akashic
  • mediumtopics#3
    Expand topics with more specific content keywords

    Why:

    CURRENT
    diffusion, guide, stable-diffusion
    COPY-PASTE FIX
    diffusion, guide, stable-diffusion, prompting, art-styles, keywords, ai-art-resources, latent-space

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 Maks-s/sd-akashic
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
dair-ai/Prompt-Engineering-Guide
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. dair-ai/Prompt-Engineering-Guide · recommended 1×
  2. Stable Diffusion Prompt Book by PromptHero · recommended 1×
  3. Lexica.art · recommended 1×
  4. Civitai · recommended 1×
  5. Krea.ai · recommended 1×
  • CATEGORY QUERY
    Where can I find comprehensive guides and resources for mastering Stable Diffusion prompting?
    you: not recommended
    AI recommended (in order):
    1. Prompt Engineering Guide (dair-ai/Prompt-Engineering-Guide)
    2. Stable Diffusion Prompt Book by PromptHero
    3. Lexica.art
    4. Civitai
    5. Krea.ai
    6. r/StableDiffusion
    7. r/PromptEngineering
    8. Olivio Sarikas
    9. Aitrepreneur

    AI recommended 9 alternatives but never named Maks-s/sd-akashic. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a curated list of art styles, artists, and keywords for AI image generation.
    you: not recommended
    AI recommended (in order):
    1. Unreal Engine 5
    2. Octane Render
    3. V-Ray

    AI recommended 3 alternatives but never named Maks-s/sd-akashic. 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 Maks-s/sd-akashic?
    pass
    AI named Maks-s/sd-akashic explicitly

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

  • If a team adopts Maks-s/sd-akashic in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Maks-s/sd-akashic 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 Maks-s/sd-akashic solve, and who is the primary audience?
    pass
    AI did not name Maks-s/sd-akashic — 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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Maks-s/sd-akashic — RepoGEO report