RRepoGEO

REPOGEO REPORT · LITE

ProjectUnifree/unifree

Default branch main · commit dc9aa70d · scanned 6/23/2026, 10:12:42 PM

GitHub: 1,403 stars · 72 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
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 ProjectUnifree/unifree, 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
  • highabout#1
    Add a concise 'About' description

    Why:

    COPY-PASTE FIX
    A tool to aid in migrating Unity projects to other game engines like Godot and Unreal Engine.
  • mediumreadme#2
    Add a clear introductory sentence to the README

    Why:

    CURRENT
    # Migrate Unity projects to other engines!

### :warning: This is an early prototype! :warning:
    COPY-PASTE FIX
    # Migrate Unity projects to other engines!

This project provides a utility to assist in porting existing Unity game projects to alternative engines such as Godot and Unreal Engine.

### :warning: This is an early prototype! :warning:

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 ProjectUnifree/unifree
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Unreal Engine
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Unreal Engine · recommended 2×
  2. Unity · recommended 1×
  3. godotengine/godot · recommended 1×
  4. Blender · recommended 1×
  5. Aseprite · recommended 1×
  • CATEGORY QUERY
    What are the best methods to port existing game projects to an alternative development environment?
    you: not recommended
    AI recommended (in order):
    1. Unreal Engine
    2. Unity
    3. Godot Engine (godotengine/godot)
    4. Blender
    5. Aseprite
    6. Krita
    7. Photoshop
    8. FMOD Studio
    9. Wwise
    10. C#
    11. MonoGame (MonoGame/MonoGame)
    12. .NET
    13. C++
    14. Python
    15. Pygame (pygame/pygame)
    16. Box2D (erincatto/Box2D)
    17. Bullet Physics (bulletphysics/bullet3)
    18. Dear ImGui (ocornut/imgui)

    AI recommended 18 alternatives but never named ProjectUnifree/unifree. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a utility to aid migrating game projects between different interactive content platforms.
    you: not recommended
    AI recommended (in order):
    1. Unity's Project Tiny / DOTS
    2. Unreal Engine
    3. Godot Engine
    4. FNA / MonoGame
    5. LibGDX
    6. Ogre3D
    7. LÖVE2D

    AI recommended 7 alternatives but never named ProjectUnifree/unifree. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 ProjectUnifree/unifree?
    pass
    AI named ProjectUnifree/unifree explicitly

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

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