RRepoGEO

REPOGEO REPORT · LITE

openxla/xprof

Default branch master · commit 17c8c27e · scanned 6/5/2026, 12:01:52 PM

GitHub: 526 stars · 87 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 openxla/xprof, 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 to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    machine-learning, deep-learning, profiling, performance-analysis, xla, tensorflow, jax, gpu, tpu, accelerators, ml-profiler
  • highreadme#2
    Strengthen README's opening statement with core differentiator

    Why:

    CURRENT
    An open, scalable, and extensible profiler for the modern ML stack.
    COPY-PASTE FIX
    XProf is an open, scalable, and extensible profiler specifically designed for XLA-compiled machine learning workloads, providing deep, device-side performance insights for accelerators like TPUs and GPUs.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    A relevant project homepage URL (e.g., a dedicated project site or documentation portal).

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 openxla/xprof
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
MLflow
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. MLflow · recommended 1×
  2. TensorBoard · recommended 1×
  3. Weights & Biases (W&B) · recommended 1×
  4. Scikit-learn · recommended 1×
  5. Matplotlib · recommended 1×
  • CATEGORY QUERY
    How can I analyze and visualize the performance of my machine learning models?
    you: not recommended
    AI recommended (in order):
    1. MLflow
    2. TensorBoard
    3. Weights & Biases (W&B)
    4. Scikit-learn
    5. Matplotlib
    6. Seaborn
    7. SHAP
    8. ELI5

    AI recommended 8 alternatives but never named openxla/xprof. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help identify performance bottlenecks in deep learning model execution across multiple devices?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Nsight Systems
    2. NVIDIA Nsight Compute
    3. TensorBoard Profiler
    4. PyTorch Profiler
    5. Intel VTune Profiler
    6. AMD Radeon GPU Profiler (RGP)
    7. DeepSpeed

    AI recommended 7 alternatives but never named openxla/xprof. 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 openxla/xprof?
    pass
    AI named openxla/xprof explicitly

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

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

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

Embed your GEO score

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MARKDOWN (README)
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openxla/xprof — 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