RRepoGEO

REPOGEO REPORT · LITE

AIDC-AI/Agentic-ADK

Default branch main · commit 8222c282 · scanned 6/11/2026, 2:53:03 AM

GitHub: 681 stars · 128 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
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 AIDC-AI/Agentic-ADK, 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
  • hightopics#1
    Add relevant topics for AI agent frameworks

    Why:

    COPY-PASTE FIX
    agent-framework, ai-agents, llm-orchestration, agentic-ai, google-adk, alibaba-ai, multimodal-ai
  • mediumreadme#2
    Integrate core differentiator into README's 'About' section

    Why:

    CURRENT
    Agentic ADK is an Agent application development framework launched by Alibaba International AI Business, based on Google-ADK and Ali-LangEngine. It is used for developing, constructing, evaluating, and deploying powerful, flexible, and controllable complex AI Agents. ADK aims to make Agent development simpler and more user-friendly, enabling developers to more easily build, deploy, and orchestrate various Agent applications ranging from simple tasks to complex collaborations.
    COPY-PASTE FIX
    Agentic ADK is an Agent application development framework launched by Alibaba International AI Business, based on Google-ADK and Ali-LangEngine. It provides a structured, opinionated framework specifically designed for building autonomous AI agents that follow a complete agentic loop (perception, reasoning, planning, action, reflection). It is used for developing, constructing, evaluating, and deploying powerful, flexible, and controllable complex AI Agents, aiming to make Agent development simpler and more user-friendly, enabling developers to more easily build, deploy, and orchestrate various Agent applications ranging from simple tasks to complex collaborations.
  • lowreadme#3
    Fix typo in 'Features Overview' heading

    Why:

    CURRENT
    Features OverviewBased on the Google ADK interface
    COPY-PASTE FIX
    Features Overview. Based on the Google ADK interface

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 AIDC-AI/Agentic-ADK
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. Haystack · recommended 2×
  4. Microsoft Semantic Kernel · recommended 2×
  5. AutoGen · recommended 2×
  • CATEGORY QUERY
    What framework helps build, deploy, and orchestrate complex AI agent applications efficiently?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. Microsoft Semantic Kernel
    5. AutoGen
    6. CrewAI

    AI recommended 6 alternatives but never named AIDC-AI/Agentic-ADK. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a framework to simplify AI agent development, including debugging and evaluation tools.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LangSmith
    3. LlamaIndex
    4. Microsoft Semantic Kernel
    5. Haystack
    6. AutoGen
    7. CrewAI

    AI recommended 7 alternatives but never named AIDC-AI/Agentic-ADK. 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 AIDC-AI/Agentic-ADK?
    pass
    AI named AIDC-AI/Agentic-ADK explicitly

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

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

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

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AIDC-AI/Agentic-ADK — 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