RRepoGEO

REPOGEO REPORT · LITE

nobodywho-ooo/nobodywho

Default branch main · commit 454e5789 · scanned 6/16/2026, 10:01:37 PM

GitHub: 1,002 stars · 69 forks

AI VISIBILITY SCORE
33 /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
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 nobodywho-ooo/nobodywho, 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's opening statement to explicitly state the project's purpose

    Why:

    CURRENT
    <p align="center">
      <strong> On-device AI for any device.</strong><br/>
      NobodyWho is an inference engine that lets you run LLMs locally and efficiently.
    </p>
    COPY-PASTE FIX
    <p align="center">
      <strong>NobodyWho is a powerful, cross-platform inference engine for running Large Language Models (LLMs) locally and efficiently on any device.</strong><br/>
      It enables on-device AI for mobile, desktop, and game development platforms.
    </p>
  • mediumtopics#2
    Add more specific topics for LLM inference and platforms

    Why:

    CURRENT
    ai, flutter, godot, godot-engine, godot-plugin, godot4, inference-engine, kotlin, llm, on-device-ai, python, python-llm, react-native, slm, swift
    COPY-PASTE FIX
    ai, flutter, godot, godot-engine, godot-plugin, godot4, inference-engine, kotlin, llm, on-device-ai, python, python-llm, react-native, slm, swift, local-llm, offline-llm, edge-ai, mobile-ai, cross-platform-llm, llm-runtime
  • lowreadme#3
    Complete the 'Platforms' installation and documentation table in the README

    Why:

    CURRENT
    | Platform | Installation | Documentation |
    ||||
    | **Kotlin** | [Maven Central](#kotlin) | doc
    COPY-PASTE FIX
    | Platform | Installation | Documentation |
    |---|---|---|
    | **Kotlin** | [Maven Central](https://pub.dev/packages/nobodywho) | [Docs](https://docs.nobodywho.ooo) |
    | **Swift** | [Swift Package Manager](https://github.com/nobodywho-ooo/nobodywho#swift) | [Docs](https://docs.nobodywho.ooo) |
    | **Python** | [PyPI](https://pypi.org/project/nobodywho/) | [Docs](https://docs.nobodywho.ooo) |
    | **Flutter** | [pub.dev](https://pub.dev/packages/nobodywho) | [Docs](https://docs.nobodywho.ooo) |
    | **React Native** | [npm](https://www.npmjs.com/package/react-native-nobodywho) | [Docs](https://docs.nobodywho.ooo) |
    | **Godot** | [Godot Asset Library](https://godotengine.org/asset-library/asset/2886) | [Docs](https://docs.nobodywho.ooo) |

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 nobodywho-ooo/nobodywho
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Core ML
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Core ML · recommended 2×
  2. ggerganov/llama.cpp · recommended 1×
  3. ollama/ollama · recommended 1×
  4. mlc-ai/mlc-llm · recommended 1×
  5. xenova/transformers.js · recommended 1×
  • CATEGORY QUERY
    How can I run large language models directly on a user's device for offline access?
    you: not recommended
    AI recommended (in order):
    1. llama.cpp (ggerganov/llama.cpp)
    2. Ollama (ollama/ollama)
    3. MLC LLM (mlc-ai/mlc-llm)
    4. Transformers.js (xenova/transformers.js)
    5. Core ML
    6. TensorFlow Lite
    7. PyTorch Mobile
    8. ONNX Runtime (microsoft/onnxruntime)

    AI recommended 8 alternatives but never named nobodywho-ooo/nobodywho. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools enable efficient local LLM inference across multiple mobile and game development platforms?
    you: not recommended
    AI recommended (in order):
    1. MLX
    2. ONNX Runtime
    3. TFLite
    4. Core ML
    5. MediaPipe
    6. GGML/llama.cpp

    AI recommended 6 alternatives but never named nobodywho-ooo/nobodywho. 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 nobodywho-ooo/nobodywho?
    pass
    AI named nobodywho-ooo/nobodywho explicitly

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

  • If a team adopts nobodywho-ooo/nobodywho in production, what risks or prerequisites should they evaluate first?
    pass
    AI named nobodywho-ooo/nobodywho 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 nobodywho-ooo/nobodywho solve, and who is the primary audience?
    pass
    AI did not name nobodywho-ooo/nobodywho — 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?

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite