RRepoGEO

REPOGEO REPORT · LITE

robustmq/robustmq

Default branch main · commit 8042a336 · scanned 5/8/2026, 10:12:21 PM

GitHub: 1,576 stars · 218 forks

AI VISIBILITY SCORE
33 /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
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 robustmq/robustmq, 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
    Emphasize RobustMQ as a unified broker in the repository description

    Why:

    CURRENT
    Communication infrastructure for the AI era — one binary, one broker, one storage layer, any protocol
    COPY-PASTE FIX
    RobustMQ: A unified messaging broker for the AI era. One binary, one broker, one storage layer, any protocol (MQTT, Kafka, NATS, AMQP).
  • mediumtopics#2
    Add specific topics for edge deployment and multi-protocol capabilities

    Why:

    CURRENT
    agent-communication, ai, ai-agnet, amqp, data, infra, kafka, message, message-queue, middleware, mq, mq9, mqtt, mqtt-broker, queue, rust, serverless, storage, streaming
    COPY-PASTE FIX
    agent-communication, ai, ai-agnet, amqp, data, edge-computing, infra, kafka, message, message-queue, middleware, mq, mq9, multi-protocol, mqtt, mqtt-broker, queue, rust, serverless, storage, streaming, unified-messaging
  • lowcomparison#3
    Add a 'Comparison' section to explicitly state core differentiators

    Why:

    COPY-PASTE FIX
    Add a new section titled '## 🆚 Comparison' or '## 🚀 Why RobustMQ?' that clearly outlines how RobustMQ differs from Kafka, RabbitMQ, NATS, etc., specifically highlighting its unified storage and multi-protocol support within a single broker.

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 robustmq/robustmq
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
rabbitmq/rabbitmq-server
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. rabbitmq/rabbitmq-server · recommended 2×
  2. nats-io/nats-server · recommended 2×
  3. apache/kafka · recommended 1×
  4. Google Cloud Pub/Sub · recommended 1×
  5. Azure Service Bus · recommended 1×
  • CATEGORY QUERY
    Seeking a unified messaging engine for AI agent communication across various protocols.
    you: not recommended
    AI recommended (in order):
    1. Apache Kafka (apache/kafka)
    2. RabbitMQ (rabbitmq/rabbitmq-server)
    3. NATS.io (nats-io/nats-server)
    4. Google Cloud Pub/Sub
    5. Azure Service Bus
    6. Redis Pub/Sub (redis/redis)
    7. ZeroMQ (zeromq/libzmq)

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

    Show full AI answer
  • CATEGORY QUERY
    What are lightweight Rust messaging brokers suitable for edge deployment and multiple protocols?
    you: not recommended
    AI recommended (in order):
    1. rumqttd (rumqtt/rumqttd)
    2. NATS Server (nats-io/nats-server)
    3. nats.rs (nats-io/nats.rs)
    4. Redpanda (redpanda-data/redpanda)
    5. Apache ActiveMQ Artemis (apache/activemq-artemis)
    6. Mosquitto (eclipse/mosquitto)
    7. RabbitMQ (rabbitmq/rabbitmq-server)
    8. lapin (amqp-rs/lapin)

    AI recommended 8 alternatives but never named robustmq/robustmq. 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 robustmq/robustmq?
    pass
    AI did not name robustmq/robustmq — 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 robustmq/robustmq in production, what risks or prerequisites should they evaluate first?
    pass
    AI named robustmq/robustmq 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 robustmq/robustmq solve, and who is the primary audience?
    pass
    AI named robustmq/robustmq explicitly

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

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