RRepoGEO

REPOGEO REPORT · LITE

lightningpixel/modly

Default branch main · commit 166788d0 · scanned 5/11/2026, 7:37:32 PM

GitHub: 3,328 stars · 348 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 lightningpixel/modly, 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 H1 to specify category and core function

    Why:

    CURRENT
    # Modly

**Local, open source, AI-powered image-to-3D mesh generation.**
Turn any photo into a 3D model using open source AI models running entirely on your GPU.
Modly is a desktop application for Windows and Linux (macOS coming soon)
    COPY-PASTE FIX
    # Modly: Desktop AI for 3D Model Generation

**Modly is a desktop application that generates 3D models from images using local AI, running entirely on your GPU.** Turn any photo into a 3D mesh with this open-source tool for Windows and Linux (macOS coming soon).
  • mediumreadme#2
    Add a 'Why Modly?' or comparison section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, for example: `## Why Choose Modly?

Modly stands out from research-focused tools like Instant Mesh or COLMAP by offering a user-friendly desktop application for Windows and Linux. It leverages local, open-source AI models running entirely on your GPU, ensuring privacy and performance without complex command-line setups or cloud dependencies. Its unique extension system also allows for easy integration of new AI models.`
  • lowreadme#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    Add a 'License' section to the README, stating: `## License

Modly is released under [describe the actual license(s) here, e.g., "a custom license combining Apache 2.0 and MIT terms"]. Please see the [LICENSE file](LICENSE) for full details.`

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 lightningpixel/modly
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Instant Mesh
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Instant Mesh · recommended 1×
  2. COLMAP · recommended 1×
  3. Meshroom · recommended 1×
  4. Instant-NGP · recommended 1×
  5. Nerfstudio · recommended 1×
  • CATEGORY QUERY
    How can I generate 3D models from images using local AI on my desktop?
    you: not recommended
    AI recommended (in order):
    1. Instant Mesh
    2. COLMAP
    3. Meshroom
    4. Instant-NGP
    5. Nerfstudio
    6. Open3D
    7. RealityCapture

    AI recommended 7 alternatives but never named lightningpixel/modly. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source desktop applications create 3D meshes from photos using local GPU processing?
    you: not recommended
    AI recommended (in order):
    1. Meshroom (AliceVision/Meshroom)
    2. OpenSfM (mapillary/OpenSfM)
    3. COLMAP (colmap/colmap)
    4. 3DF Zephyr Free
    5. Regard3D (Regard3D/Regard3D)

    AI recommended 5 alternatives but never named lightningpixel/modly. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 lightningpixel/modly?
    pass
    AI named lightningpixel/modly explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of lightningpixel/modly. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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lightningpixel/modly — 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