RRepoGEO

REPOGEO REPORT · LITE

a2aproject/a2a-samples

Default branch main · commit 22b48d5e · scanned 5/25/2026, 8:57:42 PM

GitHub: 1,595 stars · 679 forks

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 a2aproject/a2a-samples, 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
    Reposition README H1 to emphasize generative AI agent communication

    Why:

    CURRENT
    # Agent2Agent (A2A) Samples
    COPY-PASTE FIX
    # Agent2Agent (A2A) Samples: Examples for Generative AI Agent Communication
  • mediumtopics#2
    Expand topics to include more specific generative AI agent terms

    Why:

    CURRENT
    a2a, a2a-client, a2a-mcp, a2a-protocol, a2a-server, agents, generative-ai
    COPY-PASTE FIX
    a2a, a2a-client, a2a-mcp, a2a-protocol, a2a-server, agents, generative-ai, multi-agent-systems, ai-agents, agent-orchestration, llm-agents
  • mediumreadme#3
    Add a 'Why A2A?' section to clarify its unique value for generative AI agents

    Why:

    COPY-PASTE FIX
    ## Why A2A for Generative AI Agents?

The Agent2Agent (A2A) Protocol provides a standardized, secure, and efficient way for autonomous generative AI agents to communicate and collaborate. Unlike general-purpose messaging systems, A2A is specifically designed to handle the complex interactions, data exchange, and orchestration needs of modern AI agent ecosystems, enabling seamless integration and robust multi-agent applications.

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 a2aproject/a2a-samples
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
grpc/grpc
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. grpc/grpc · recommended 1×
  2. apache/kafka · recommended 1×
  3. rabbitmq/rabbitmq-server · recommended 1×
  4. OpenAI Function Calling · recommended 1×
  5. AWS App Mesh · recommended 1×
  • CATEGORY QUERY
    How to implement secure and efficient communication between multiple generative AI agents?
    you: not recommended
    AI recommended (in order):
    1. gRPC (grpc/grpc)
    2. Apache Kafka (apache/kafka)
    3. RabbitMQ (rabbitmq/rabbitmq-server)
    4. OpenAI Function Calling
    5. AWS App Mesh
    6. Istio (istio/istio)
    7. ZeroMQ (zeromq/libzmq)

    AI recommended 7 alternatives but never named a2aproject/a2a-samples. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find sample code for developing agent-to-agent communication protocols?
    you: not recommended
    AI recommended (in order):
    1. JADE
    2. SPADE
    3. Akka
    4. Go-Agent
    5. MASSim

    AI recommended 5 alternatives but never named a2aproject/a2a-samples. 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 a2aproject/a2a-samples?
    pass
    AI named a2aproject/a2a-samples explicitly

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

  • If a team adopts a2aproject/a2a-samples in production, what risks or prerequisites should they evaluate first?
    pass
    AI named a2aproject/a2a-samples 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 a2aproject/a2a-samples solve, and who is the primary audience?
    pass
    AI named a2aproject/a2a-samples explicitly

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

Embed your GEO score

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  • Brand-free category queries5 vs 2 in Lite
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