RRepoGEO

REPOGEO REPORT · LITE

Azure/AzurePublicDataset

Default branch master · commit 207bed67 · scanned 6/27/2026, 9:16:29 AM

GitHub: 1,148 stars · 182 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README H1 and opening sentence for clarity

    Why:

    CURRENT
    # Overview

This repository contains public releases of Microsoft Azure traces for the benefit of the research and academic community.
    COPY-PASTE FIX
    # Microsoft Azure Public Datasets & Workload Traces for Research

This repository provides official public releases of diverse Microsoft Azure workload traces, including VM, Azure Functions, and AI inference data, specifically curated for the benefit of the research and academic community.
  • mediumhomepage#2
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/Azure/AzurePublicDataset

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 (Google Cluster Traces)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Public Datasets (Google Cluster Traces) · recommended 1×
  2. Microsoft Azure Traces · recommended 1×
  3. Alibaba Cluster Traces · recommended 1×
  4. CloudSuite Benchmarks and Traces · recommended 1×
  5. Tsinghua University Cloud Trace Archive · recommended 1×
  • CATEGORY QUERY
    Where can I find real-world cloud infrastructure workload traces for academic research?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Public Datasets (Google Cluster Traces)
    2. Microsoft Azure Traces
    3. Alibaba Cluster Traces
    4. CloudSuite Benchmarks and Traces
    5. Tsinghua University Cloud Trace Archive
    6. Workload Archive (Workload.org)
    7. SPEC Cloud IaaS 2018 Benchmark

    AI recommended 7 alternatives but never named Azure/AzurePublicDataset. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking datasets containing serverless function invocation or AI inference performance metrics.
    you: not recommended
    AI recommended (in order):
    1. AWS Lambda Performance Dataset
    2. Azure Functions Performance Dataset
    3. Google Cloud Functions Performance Dataset
    4. FaaSBench (FaaSBench/FaaSBench)
    5. OpenWhisk (apache/openwhisk)
    6. MLPerf
    7. ServerlessBench (ServerlessBench/ServerlessBench)

    AI recommended 7 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 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?

  • 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 named Azure/AzurePublicDataset explicitly

    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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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite