RRepoGEO

REPOGEO REPORT · LITE

shrimbly/node-banana

Default branch master · commit 6179f0bb · scanned 5/25/2026, 10:51:47 PM

GitHub: 1,491 stars · 329 forks

AI VISIBILITY SCORE
35 /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
3 / 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 shrimbly/node-banana, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • mediumabout#1
    Update the repository description for clarity

    Why:

    CURRENT
    Free and open node based generative workflows.
    COPY-PASTE FIX
    Visual node-based editor for building AI image, video, 3D, and audio generation pipelines.
  • mediumhomepage#2
    Add the project's official website or documentation URL as the homepage

    Why:

    COPY-PASTE FIX
    https://[your-documentation-or-project-website-url-here]

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 shrimbly/node-banana
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
RunwayML
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. RunwayML · recommended 2×
  2. ComfyUI · recommended 1×
  3. InvokeAI · recommended 1×
  4. Stable Diffusion WebUI (Automatic1111) · recommended 1×
  5. NVIDIA Canvas · recommended 1×
  • CATEGORY QUERY
    How to build complex AI image and video generation pipelines visually?
    you: not recommended
    AI recommended (in order):
    1. ComfyUI
    2. InvokeAI
    3. Stable Diffusion WebUI (Automatic1111)
    4. RunwayML
    5. NVIDIA Canvas
    6. TouchDesigner

    AI recommended 6 alternatives but never named shrimbly/node-banana. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for visually chaining multiple AI models for creative media generation?
    you: not recommended
    AI recommended (in order):
    1. ComfyUI (comfyanonymous/ComfyUI)
    2. InvokeAI (invoke-ai/InvokeAI)
    3. Automatic1111's Stable Diffusion WebUI (AUTOMATIC1111/stable-diffusion-webui)
    4. RunwayML
    5. n8n (n8n-io/n8n)
    6. Zapier
    7. Make

    AI recommended 7 alternatives but never named shrimbly/node-banana. 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 shrimbly/node-banana?
    pass
    AI named shrimbly/node-banana explicitly

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

  • If a team adopts shrimbly/node-banana in production, what risks or prerequisites should they evaluate first?
    pass
    AI named shrimbly/node-banana 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 shrimbly/node-banana solve, and who is the primary audience?
    pass
    AI named shrimbly/node-banana explicitly

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

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shrimbly/node-banana — 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