RRepoGEO

REPOGEO REPORT · LITE

lemonade-sdk/llamacpp-rocm

Default branch main · commit b6cbeea3 · scanned 6/8/2026, 4:36:58 AM

GitHub: 529 stars · 52 forks

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 lemonade-sdk/llamacpp-rocm, 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
  • hightopics#1
    Add specific topics for LLM inference, AMD ROCm, and optimized builds

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ["llama.cpp", "rocm", "amd-gpu", "llm-inference", "gpu-acceleration", "optimized-builds", "ai-models", "large-language-models"]
  • mediumreadme#2
    Strengthen the README's opening sentence to highlight LLM focus and ready-to-use builds

    Why:

    CURRENT
    We provide nightly builds of **llama.cpp** with **AMD ROCm™ 7** acceleration based on TheRock - delivering the freshest, cutting-edge builds available.
    COPY-PASTE FIX
    We provide nightly, ready-to-use builds of **llama.cpp** for **Large Language Model (LLM)** inference with **AMD ROCm™ 7** acceleration based on TheRock - delivering the freshest, cutting-edge builds available.
  • lowabout#3
    Refine the repository description to explicitly mention LLM inference

    Why:

    CURRENT
    Fresh builds of llama.cpp with AMD ROCm™ 7 acceleration
    COPY-PASTE FIX
    Optimized, fresh builds of llama.cpp for Large Language Model (LLM) inference with AMD ROCm™ 7 acceleration.

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 lemonade-sdk/llamacpp-rocm
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ROCm PyTorch
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ROCm PyTorch · recommended 1×
  2. torch.compile · recommended 1×
  3. BetterTransformer · recommended 1×
  4. ONNX Runtime · recommended 1×
  5. TensorRT-LLM · recommended 1×
  • CATEGORY QUERY
    How can I accelerate Llama model inference using AMD ROCm GPUs?
    you: not recommended
    AI recommended (in order):
    1. ROCm PyTorch
    2. torch.compile
    3. BetterTransformer
    4. ONNX Runtime
    5. TensorRT-LLM
    6. MIGraphX
    7. llama.cpp

    AI recommended 7 alternatives but never named lemonade-sdk/llamacpp-rocm. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where to find optimized builds for running LLMs on AMD graphics cards?
    you: not recommended
    AI recommended (in order):
    1. ROCm (ROCm/ROCm)
    2. Hugging Face Transformers (huggingface/transformers)
    3. PyTorch (pytorch/pytorch)
    4. llama.cpp (ggerganov/llama.cpp)
    5. TensorFlow (tensorflow/tensorflow)
    6. AMD's Official AI/ML Software Hub
    7. Reddit r/AMD
    8. Reddit r/LocalLLaMA

    AI recommended 8 alternatives but never named lemonade-sdk/llamacpp-rocm. 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 lemonade-sdk/llamacpp-rocm?
    pass
    AI did not name lemonade-sdk/llamacpp-rocm — 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 lemonade-sdk/llamacpp-rocm in production, what risks or prerequisites should they evaluate first?
    pass
    AI named lemonade-sdk/llamacpp-rocm 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 lemonade-sdk/llamacpp-rocm solve, and who is the primary audience?
    pass
    AI named lemonade-sdk/llamacpp-rocm explicitly

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

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lemonade-sdk/llamacpp-rocm — 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