RRepoGEO

REPOGEO REPORT · LITE

Azure/AzurePublicDataset

Default branch master · commit 7a9b713f · scanned 5/16/2026, 12:26:57 PM

GitHub: 1,130 stars · 180 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 Azure/AzurePublicDataset, 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 cloud traces and research datasets

    Why:

    COPY-PASTE FIX
    cloud-computing, workload-traces, azure, public-datasets, research-data, vm-traces, serverless-traces, llm-inference-traces, multimodal-inference, cloud-workload-patterns
  • highreadme#2
    Clarify README overview to emphasize direct provision of datasets

    Why:

    CURRENT
    # Overview

This repository contains public releases of Microsoft Azure traces for the benefit of the research and academic community.
    COPY-PASTE FIX
    # Overview

This repository provides direct access to public releases of Microsoft Azure traces, including VM, Azure Functions, and LLM/Multimodal inference data, for the benefit of the research and academic community.
  • mediumabout#3
    Expand the repository description for clarity

    Why:

    CURRENT
    Microsoft Azure Traces
    COPY-PASTE FIX
    Public releases of Microsoft Azure VM, Functions, and LLM/Multimodal inference traces for cloud computing research and academic use.

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 Azure/AzurePublicDataset
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Public Datasets
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Public Datasets · recommended 1×
  2. Microsoft Azure Public Datasets · recommended 1×
  3. Alibaba Cluster Trace Program · recommended 1×
  4. Bitbrains Workload Traces · recommended 1×
  5. CloudSuite Benchmarks · recommended 1×
  • CATEGORY QUERY
    Where can I find large-scale public datasets for analyzing cloud computing workload patterns?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Public Datasets
    2. Microsoft Azure Public Datasets
    3. Alibaba Cluster Trace Program
    4. Bitbrains Workload Traces
    5. CloudSuite Benchmarks
    6. PlanetLab Workload Traces
    7. Ceilometer
    8. Gnocchi

    AI recommended 8 alternatives but never named Azure/AzurePublicDataset. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking real-world execution traces of large language model inference for research.
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Nsight Systems
    2. DeepSpeed
    3. TensorRT
    4. PyTorch Profiler
    5. TensorFlow Profiler
    6. OpenVINO Profiler

    AI recommended 6 alternatives but never named Azure/AzurePublicDataset. 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 Azure/AzurePublicDataset?
    pass
    AI named Azure/AzurePublicDataset explicitly

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

  • If a team adopts Azure/AzurePublicDataset in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Azure/AzurePublicDataset 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 Azure/AzurePublicDataset solve, and who is the primary audience?
    pass
    AI did not name Azure/AzurePublicDataset — 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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Azure/AzurePublicDataset — RepoGEO report