RRepoGEO

REPOGEO REPORT · LITE

AutoMQ/automq

Default branch main · commit 8d706a6d · scanned 6/28/2026, 1:32:17 AM

GitHub: 10,150 stars · 730 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)

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

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 AutoMQ/automq, 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
  • highabout#1
    Update the repository's 'About' description to clarify its category

    Why:

    CURRENT
    Diskless Kafka® on S3. 10x Cost-Effective. No Cross-AZ Traffic Cost. Autoscale in seconds. Single-digit ms latency. Multi-AZ Availability.
    COPY-PASTE FIX
    AutoMQ is a cloud-native, diskless Kafka-compatible streaming platform built on S3. It offers 10x cost-effectiveness, no cross-AZ traffic costs, autoscaling in seconds, single-digit ms latency, and multi-AZ availability.
  • hightopics#2
    Expand repository topics with category and architecture keywords

    Why:

    CURRENT
    automq, diskless, kafka, serverless
    COPY-PASTE FIX
    automq, diskless, kafka, serverless, streaming-platform, message-queue, cloud-native, object-storage, s3
  • mediumreadme#3
    Add a concise introductory paragraph to the README after the H1

    Why:

    COPY-PASTE FIX
    AutoMQ is a cloud-native, Kafka-compatible streaming platform that re-architects Kafka's storage layer to leverage cloud object storage (like S3) as its primary durable storage. This innovative diskless design eliminates local disks and EBS dependencies, enabling superior cost-efficiency, instant scalability, and multi-AZ availability without compromising on performance or Kafka API compatibility.

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 AutoMQ/automq
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Pub/Sub
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Pub/Sub · recommended 2×
  2. Apache Kafka · recommended 2×
  3. Amazon S3 · recommended 1×
  4. AWS Lambda · recommended 1×
  5. Amazon SQS · recommended 1×
  • CATEGORY QUERY
    How can I achieve cost-effective, auto-scaling message streaming using cloud object storage?
    you: not recommended
    AI recommended (in order):
    1. Amazon S3
    2. AWS Lambda
    3. Amazon SQS
    4. Amazon SNS
    5. Google Cloud Storage
    6. Google Cloud Functions
    7. Google Cloud Pub/Sub
    8. Azure Blob Storage
    9. Azure Functions
    10. Azure Event Grid
    11. Azure Service Bus
    12. MinIO
    13. Apache Kafka
    14. Kubernetes
    15. Cloudflare R2
    16. Cloudflare Workers
    17. Cloudflare Queues

    AI recommended 17 alternatives but never named AutoMQ/automq. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a low-latency, diskless distributed messaging system with multi-AZ availability.
    you: not recommended
    AI recommended (in order):
    1. Apache Kafka
    2. Redis Streams
    3. NATS
    4. Apache Pulsar
    5. Amazon Kinesis Data Streams
    6. Google Cloud Pub/Sub

    AI recommended 6 alternatives but never named AutoMQ/automq. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 AutoMQ/automq?
    pass
    AI named AutoMQ/automq explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of AutoMQ/automq. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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  • Brand-free category queries5 vs 2 in Lite
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