RRepoGEO

REPOGEO REPORT · LITE

neilsonnn/image-blaster

Default branch main · commit 4acb43ba · scanned 5/20/2026, 9:18:08 AM

GitHub: 3,733 stars · 363 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 neilsonnn/image-blaster, 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 clearly state image-to-3D purpose

    Why:

    CURRENT
    ## `image-blaster`
    COPY-PASTE FIX
    ## `image-blaster`: Image-to-3D Environment & Asset Generator
  • hightopics#2
    Add specific topics for 3D generation and AI tools

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    3d-generation, image-to-3d, claude-ai, world-labs, fal-ai, game-development, 3d-modeling, gaussian-splatting
  • mediumabout#3
    Update the repository description for clarity

    Why:

    CURRENT
    An image-to-world skillset for Claude.
    COPY-PASTE FIX
    Generates 3D environments, models, and spatial audio from a single image using Claude, World Labs, and FAL.

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 neilsonnn/image-blaster
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Luma AI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Luma AI · recommended 1×
  2. NVlabs/instant-ngp · recommended 1×
  3. Polycam · recommended 1×
  4. Blockade Labs · recommended 1×
  5. Spline · recommended 1×
  • CATEGORY QUERY
    How can I quickly generate 3D assets and environments from a single image?
    you: not recommended
    AI recommended (in order):
    1. Luma AI
    2. Instant NGP (NVlabs/instant-ngp)
    3. Polycam
    4. Blockade Labs
    5. Spline
    6. Meshy
    7. DreamGaussian (dreamgaussian/dreamgaussian)

    AI recommended 7 alternatives but never named neilsonnn/image-blaster. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools convert 2D photos into full 3D scenes with spatial audio for game engines?
    you: not recommended
    AI recommended (in order):
    1. RealityCapture
    2. Agisoft Metashape
    3. Meshroom (alicevision/Meshroom)
    4. Unreal Engine
    5. Unity
    6. FMOD Studio
    7. Wwise
    8. Adobe Aero

    AI recommended 8 alternatives but never named neilsonnn/image-blaster. 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 neilsonnn/image-blaster?
    pass
    AI did not name neilsonnn/image-blaster — 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 neilsonnn/image-blaster in production, what risks or prerequisites should they evaluate first?
    pass
    AI named neilsonnn/image-blaster 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 neilsonnn/image-blaster solve, and who is the primary audience?
    pass
    AI named neilsonnn/image-blaster 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 neilsonnn/image-blaster. 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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HTML
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neilsonnn/image-blaster — 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