RRepoGEO

REPOGEO REPORT · LITE

Atmosphere/atmosphere

Default branch main · commit 3cb6aa51 · scanned 6/23/2026, 9:01:47 AM

GitHub: 3,780 stars · 759 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 Atmosphere/atmosphere, 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
  • highreadme#1
    Clarify the README H1 to explicitly state the AI agent focus

    Why:

    CURRENT
    <h1>Atmosphere</h1>
    COPY-PASTE FIX
    <h1>Atmosphere: Real-time Transport for Java AI Agents</h1>
  • mediumreadme#2
    Add a section to clarify Atmosphere's role with existing AI frameworks

    Why:

    COPY-PASTE FIX
    Add a new section, e.g., 'How Atmosphere Complements AI Frameworks', explaining how it works with frameworks like LangChain4j, Spring AI, or custom implementations to provide production-grade transport and governance.
  • mediumtopics#3
    Add more specific AI agent-related topics

    Why:

    CURRENT
    acp, agentic-ai, embabel, event-driven, java, koog, langchain4j, mcp, multiagent, quarkus, spring-ai, spring-boot, sse, websocket
    COPY-PASTE FIX
    acp, agentic-ai, ai-agent-orchestration, ai-agent-runtime, embabel, event-driven, java, koog, langchain4j, mcp, multiagent, quarkus, real-time-ai, spring-ai, spring-boot, sse, websocket

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 Atmosphere/atmosphere
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Spring Boot
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Spring Boot · recommended 1×
  2. Spring Cloud Stream · recommended 1×
  3. Apache Kafka · recommended 1×
  4. RabbitMQ · recommended 1×
  5. Deeplearning4j · recommended 1×
  • CATEGORY QUERY
    How to build real-time, streaming AI agents in Java with multiple transport options?
    you: not recommended
    AI recommended (in order):
    1. Spring Boot
    2. Spring Cloud Stream
    3. Apache Kafka
    4. RabbitMQ
    5. Deeplearning4j
    6. TensorFlow for Java
    7. Apache Flink
    8. ONNX Runtime
    9. PMML
    10. Quarkus
    11. SmallRye Reactive Messaging
    12. Akka Streams
    13. Alpakka
    14. Vert.x
    15. Apache NiFi
    16. JMS
    17. ActiveMQ Artemis

    AI recommended 17 alternatives but never named Atmosphere/atmosphere. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework helps manage and observe production-grade AI agent interactions over various protocols?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. OpenAI Assistants API
    5. Rasa

    AI recommended 5 alternatives but never named Atmosphere/atmosphere. 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 Atmosphere/atmosphere?
    pass
    AI named Atmosphere/atmosphere explicitly

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

  • If a team adopts Atmosphere/atmosphere in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Atmosphere/atmosphere 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 Atmosphere/atmosphere solve, and who is the primary audience?
    pass
    AI named Atmosphere/atmosphere 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 Atmosphere/atmosphere. 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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HTML
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Atmosphere/atmosphere — 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