RRepoGEO

REPOGEO REPORT · LITE

google/adk-docs

Default branch main · commit 7d0a76a8 · scanned 5/25/2026, 8:32:34 PM

GitHub: 1,370 stars · 1,046 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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-docs, 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
    Update README H1 to explicitly state 'AI Agent'

    Why:

    CURRENT
    # Agent Development Kit (ADK)
    COPY-PASTE FIX
    # AI Agent Development Kit (ADK)
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai-agents, agent-framework, generative-ai, large-language-models, llm, python, kotlin, go, java, multi-agent-systems, agentic-ai, google-gemini
  • mediumcomparison#3
    Add a comparison section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, e.g., 'ADK vs. Other Frameworks', detailing ADK's unique strengths (code-first, modularity, Google ecosystem optimization, model/deployment agnosticism) compared to frameworks like LangChain or LlamaIndex.

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-docs
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. run-llama/llama_index · recommended 1×
  3. deepset-ai/haystack · recommended 1×
  4. Significant-Gravitas/AutoGPT · recommended 1×
  5. yoheinakajima/babyagi · recommended 1×
  • CATEGORY QUERY
    What are the best frameworks for developing and deploying flexible AI agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Haystack (deepset-ai/haystack)
    4. AutoGPT (Significant-Gravitas/AutoGPT)
    5. BabyAGI (yoheinakajima/babyagi)
    6. Microsoft Semantic Kernel (microsoft/semantic-kernel)
    7. OpenAI Assistants API

    AI recommended 7 alternatives but never named google/adk-docs. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a model-agnostic toolkit to build and orchestrate complex AI agent workflows.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGPT
    5. Microsoft Semantic Kernel
    6. CrewAI
    7. Marvin

    AI recommended 7 alternatives but never named google/adk-docs. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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-docs?
    pass
    AI named google/adk-docs 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-docs in production, what risks or prerequisites should they evaluate first?
    pass
    AI named google/adk-docs 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-docs solve, and who is the primary audience?
    pass
    AI named google/adk-docs 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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google/adk-docs — 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