RRepoGEO

REPOGEO REPORT · LITE

bhancockio/agent-development-kit-crash-course

Default branch main · commit ab64b9b2 · scanned 6/9/2026, 11:22:43 AM

GitHub: 875 stars · 726 forks

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
1 / 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 bhancockio/agent-development-kit-crash-course, 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

1 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    A crash course with practical examples for learning Google's Agent Development Kit (ADK) to build LLM-powered agents.

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 bhancockio/agent-development-kit-crash-course
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Haystack · recommended 1×
  4. OpenAI API · recommended 1×
  5. Microsoft Semantic Kernel · recommended 1×
  • CATEGORY QUERY
    What are the best tools for creating LLM-powered conversational agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. OpenAI API
    5. Microsoft Semantic Kernel
    6. Botpress
    7. Voiceflow

    AI recommended 7 alternatives but never named bhancockio/agent-development-kit-crash-course. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find resources to learn building intelligent agents with large language models?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. DeepLearning.AI
    4. Hugging Face Transformers Agents (huggingface/transformers)
    5. OpenAI Cookbook
    6. Coursera
    7. Microsoft Semantic Kernel (microsoft/semantic-kernel)

    AI recommended 7 alternatives but never named bhancockio/agent-development-kit-crash-course. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 bhancockio/agent-development-kit-crash-course?
    pass
    AI did not name bhancockio/agent-development-kit-crash-course — likely talking about a different project

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

  • If a team adopts bhancockio/agent-development-kit-crash-course in production, what risks or prerequisites should they evaluate first?
    pass
    AI named bhancockio/agent-development-kit-crash-course 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 bhancockio/agent-development-kit-crash-course solve, and who is the primary audience?
    pass
    AI did not name bhancockio/agent-development-kit-crash-course — likely talking about a different project

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

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bhancockio/agent-development-kit-crash-course — 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