RRepoGEO

REPOGEO REPORT · LITE

deepseek-ai/profile-data

Default branch main · commit 44960242 · scanned 5/13/2026, 3:58:08 AM

GitHub: 1,156 stars · 147 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 deepseek-ai/profile-data, 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
  • highreadme#1
    Reposition README H1 to clarify the repo's purpose as a data repository

    Why:

    CURRENT
    # Profiling Data in DeepSeek Infra
    COPY-PASTE FIX
    # DeepSeek Infra Profiling Data: Understanding Communication-Computation Overlap
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root, clearly stating the terms under which the profiling data is shared. If a standard SPDX license is chosen, use its template; otherwise, provide the full license text.

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 deepseek-ai/profile-data
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
NVIDIA Nsight Systems
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. NVIDIA Nsight Systems · recommended 2×
  2. PyTorch Profiler · recommended 2×
  3. TensorBoard · recommended 1×
  4. Intel VTune Profiler · recommended 1×
  5. Horovod Timeline · recommended 1×
  • CATEGORY QUERY
    What tools help analyze and visualize computation-communication overlap in distributed deep learning models?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Nsight Systems
    2. TensorBoard
    3. PyTorch Profiler
    4. Intel VTune Profiler
    5. Horovod Timeline
    6. DeepSpeed Profiler
    7. Matplotlib (matplotlib/matplotlib)
    8. Plotly (plotly/plotly.py)

    AI recommended 8 alternatives but never named deepseek-ai/profile-data. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking profiling data examples to understand MoE communication-computation strategies for large models.
    you: not recommended
    AI recommended (in order):
    1. TensorFlow Profiler
    2. TensorBoard Profiler
    3. NVIDIA Nsight Systems
    4. DeepSpeed (microsoft/DeepSpeed)
    5. FairScale (facebookresearch/fairscale)
    6. PyTorch Profiler

    AI recommended 6 alternatives but never named deepseek-ai/profile-data. 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 deepseek-ai/profile-data?
    pass
    AI did not name deepseek-ai/profile-data — 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 deepseek-ai/profile-data in production, what risks or prerequisites should they evaluate first?
    pass
    AI named deepseek-ai/profile-data 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 deepseek-ai/profile-data solve, and who is the primary audience?
    pass
    AI did not name deepseek-ai/profile-data — 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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MARKDOWN (README)
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deepseek-ai/profile-data — 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