RRepoGEO

REPOGEO REPORT · LITE

google/adk-go

Default branch main · commit 83692605 · scanned 5/8/2026, 12:12:13 PM

GitHub: 7,777 stars · 661 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 google/adk-go, 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 explicitly state 'AI Agent'

    Why:

    CURRENT
    # Agent Development Kit (ADK) for Go
    COPY-PASTE FIX
    # AI Agent Development Kit (ADK) for Go
  • mediumreadme#2
    Move core description to immediately follow H1

    Why:

    COPY-PASTE FIX
    An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
  • lowcomparison#3
    Add a 'Comparison to Alternatives' section in README

    Why:

    COPY-PASTE FIX
    ## 💡 Comparison to Alternatives

While projects like Go-LLM or Go-OpenAI provide direct interfaces to Large Language Models, ADK for Go offers a comprehensive framework for building, evaluating, and deploying sophisticated AI agents that leverage these models. Unlike general-purpose concurrency or actor frameworks such as Akka.NET.Go or Go-Actor, ADK is specifically designed for the unique challenges of multi-agent AI systems and their orchestration.

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 google/adk-go
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
go-llm/llm
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. go-llm/llm · recommended 1×
  2. mudler/LocalAI · recommended 1×
  3. gorgonia/gorgonia · recommended 1×
  4. sashabaranov/go-openai · recommended 1×
  5. gin-gonic/gin · recommended 1×
  • CATEGORY QUERY
    What Go frameworks help build, evaluate, and deploy sophisticated AI agents?
    you: not recommended
    AI recommended (in order):
    1. Go-LLM (go-llm/llm)
    2. LocalAI (mudler/LocalAI)
    3. Gorgonia (gorgonia/gorgonia)
    4. Go-OpenAI (sashabaranov/go-openai)
    5. Gin (gin-gonic/gin)
    6. Echo (labstack/echo)
    7. Go-Redis (go-redis/redis)
    8. Zap (go.uber.org/zap)
    9. Logrus (sirupsen/logrus)

    AI recommended 9 alternatives but never named google/adk-go. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Go toolkit for orchestrating complex multi-agent collaboration systems.
    you: not recommended
    AI recommended (in order):
    1. Akka.NET (akkadotnet/akka.net)
    2. Akka.NET.Go
    3. Go-Actor (AsynkronIT/protoactor-go)
    4. Asynq (hibiken/asynq)
    5. Temporal (temporalio/temporal)
    6. Cadence (uber/cadence)
    7. gRPC (grpc/grpc)
    8. NATS (nats-io/nats-server)
    9. Kafka (apache/kafka)
    10. Go channels and `sync` primitives

    AI recommended 10 alternatives but never named google/adk-go. 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 google/adk-go?
    pass
    AI named google/adk-go explicitly

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

  • If a team adopts google/adk-go in production, what risks or prerequisites should they evaluate first?
    pass
    AI named google/adk-go 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 google/adk-go solve, and who is the primary audience?
    pass
    AI named google/adk-go 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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MARKDOWN (README)
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HTML
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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite