RRepoGEO

REPOGEO REPORT · LITE

kyuz0/amd-strix-halo-toolboxes

Default branch main · commit adf72bdd · scanned 5/15/2026, 8:08:58 AM

GitHub: 1,478 stars · 151 forks

AI VISIBILITY SCORE
17 /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
1 / 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 kyuz0/amd-strix-halo-toolboxes, 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
    Update the 'About' description

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    Pre-built containerized toolboxes for optimized Llama.cpp LLM inference on AMD Ryzen AI Max 'Strix Halo' integrated GPUs.
  • mediumlicense#2
    Add a LICENSE file to clarify usage terms

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Add a LICENSE file (e.g., MIT, Apache-2.0, or GPL-3.0) to the repository root, containing the full text of your chosen open-source license.

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 kyuz0/amd-strix-halo-toolboxes
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ROCm/ROCm
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ROCm/ROCm · recommended 1×
  2. moby/moby · recommended 1×
  3. containers/podman · recommended 1×
  4. pytorch/pytorch · recommended 1×
  5. tensorflow/tensorflow · recommended 1×
  • CATEGORY QUERY
    How can I set up LLM inference on AMD integrated GPUs with containerized solutions?
    you: not recommended
    AI recommended (in order):
    1. ROCm (ROCm/ROCm)
    2. Docker (moby/moby)
    3. Podman (containers/podman)
    4. PyTorch (pytorch/pytorch)
    5. TensorFlow (tensorflow/tensorflow)
    6. DirectML (microsoft/DirectML)
    7. DirectX 12
    8. ONNX Runtime (microsoft/onnxruntime)
    9. OpenCL
    10. llama.cpp (ggerganov/llama.cpp)

    AI recommended 10 alternatives but never named kyuz0/amd-strix-halo-toolboxes. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for pre-built environments to optimize Llama.cpp inference on AMD APUs, including performance tuning.
    you: not recommended
    AI recommended (in order):
    1. ROCm
    2. Llama.cpp
    3. HIP
    4. rocBLAS
    5. MIOpen
    6. DirectML
    7. ONNX Runtime
    8. Hugging Face Transformers
    9. MIGraphX
    10. Oobabooga's Text Generation WebUI
    11. LM Studio

    AI recommended 11 alternatives but never named kyuz0/amd-strix-halo-toolboxes. 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 kyuz0/amd-strix-halo-toolboxes?
    pass
    AI did not name kyuz0/amd-strix-halo-toolboxes — 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 kyuz0/amd-strix-halo-toolboxes in production, what risks or prerequisites should they evaluate first?
    pass
    AI named kyuz0/amd-strix-halo-toolboxes 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 kyuz0/amd-strix-halo-toolboxes solve, and who is the primary audience?
    pass
    AI did not name kyuz0/amd-strix-halo-toolboxes — 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?

Embed your GEO score

Drop this badge into the README of kyuz0/amd-strix-halo-toolboxes. 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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kyuz0/amd-strix-halo-toolboxes — 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