RRepoGEO

REPOGEO REPORT · LITE

AnswerDotAI/gpu.cpp

Default branch main · commit cfdbcc6c · scanned 5/26/2026, 12:37:01 AM

GitHub: 3,970 stars · 193 forks

AI VISIBILITY SCORE
35 /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
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 AnswerDotAI/gpu.cpp, 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
    Clarify README's opening to emphasize general-purpose GPU compute, not LLMs

    Why:

    CURRENT
    # gpu.cpp

gpu.cpp is a lightweight library that makes portable GPU compute with C++ simple.
    COPY-PASTE FIX
    # gpu.cpp

gpu.cpp is a lightweight C++ library for general-purpose, low-level GPU computation, leveraging WebGPU for portable execution across Nvidia, Intel, AMD, and other GPUs. It is designed for native GPU compute, not specifically for large language models (LLMs).
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    webgpu, gpu, compute, c++, cross-platform, low-level, vulkan, metal, directx, gpgpu
  • mediumreadme#3
    Emphasize 'single-file C++ header' in the README's opening

    Why:

    COPY-PASTE FIX
    Integrate 'single-file C++ header' into the opening description, e.g., by modifying the first paragraph to: `gpu.cpp is a lightweight, single-file C++ library for general-purpose, low-level GPU computation...`

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 AnswerDotAI/gpu.cpp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
SYCL
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. SYCL · recommended 2×
  2. HIP · recommended 2×
  3. Vulkan Compute · recommended 1×
  4. Vulkan-Hpp · recommended 1×
  5. OpenCL · recommended 1×
  • CATEGORY QUERY
    How can I perform cross-platform GPU computation in C++ with minimal dependencies?
    you: not recommended
    AI recommended (in order):
    1. Vulkan Compute
    2. Vulkan-Hpp
    3. OpenCL
    4. SYCL
    5. oneAPI DPC++
    6. CUDA
    7. HIP
    8. DirectCompute
    9. WebGPU
    10. Dawn
    11. wgpu-native

    AI recommended 11 alternatives but never named AnswerDotAI/gpu.cpp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What is a lightweight C++ library for low-level general purpose GPU compute?
    you: not recommended
    AI recommended (in order):
    1. CUDA C++
    2. OpenCL C++ API
    3. HIP
    4. SYCL
    5. Kokkos
    6. Boost.Compute

    AI recommended 6 alternatives but never named AnswerDotAI/gpu.cpp. 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 AnswerDotAI/gpu.cpp?
    pass
    AI named AnswerDotAI/gpu.cpp explicitly

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

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

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

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AnswerDotAI/gpu.cpp — 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