RRepoGEO

REPOGEO REPORT · LITE

melMass/comfy_mtb

Default branch main · commit b705a177 · scanned 6/10/2026, 2:42:55 AM

GitHub: 709 stars · 83 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)

2 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 melMass/comfy_mtb, 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 H1 to specify it's a ComfyUI node pack

    Why:

    CURRENT
    # MTB Nodes
    COPY-PASTE FIX
    # MTB Nodes: Animation-Oriented ComfyUI Node Pack
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/melMass/comfy_mtb (or a more specific project page if one exists)
  • mediumreadme#3
    Expand README introduction to highlight specific capabilities

    Why:

    COPY-PASTE FIX
    Add a sentence or two after the H1, e.g., 'This node pack provides advanced tools for ComfyUI, specializing in smooth video interpolation, realistic face swapping, and dynamic animation workflows.'

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 melMass/comfy_mtb
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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Stable Diffusion · recommended 1×
  2. Deforum · recommended 1×
  3. AnimateDiff · recommended 1×
  4. RunwayML Gen-1 · recommended 1×
  5. RunwayML Gen-2 · recommended 1×
  • CATEGORY QUERY
    How to generate smooth, dynamic animations using open-source generative image models?
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion
    2. Deforum
    3. AnimateDiff
    4. RunwayML Gen-1
    5. RunwayML Gen-2
    6. StyleGAN
    7. StyleGAN2
    8. StyleGAN3
    9. Disco Diffusion
    10. Kandinsky 2.x
    11. FFmpeg

    AI recommended 11 alternatives but never named melMass/comfy_mtb. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a visual programming environment extension for advanced video interpolation and face swapping.
    you: not recommended
    AI recommended (in order):
    1. ComfyUI
    2. Automatic1111's Stable Diffusion WebUI
    3. TouchDesigner
    4. Nuke
    5. Blender

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

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

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melMass/comfy_mtb — 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