RRepoGEO

REPOGEO REPORT · LITE

adongwanai/AgentGuide

Default branch main · commit c62afb71 · scanned 5/13/2026, 12:57:45 PM

GitHub: 4,729 stars · 482 forks

AI VISIBILITY SCORE
28 /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
2 / 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 adongwanai/AgentGuide, 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
    Clarify repo's identity as a guide in the README's opening

    Why:

    CURRENT
    # AgentGuide
    COPY-PASTE FIX
    # AgentGuide
This repository is a comprehensive guide for AI Agent development, focusing on career transition and interview preparation.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root, choosing an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that aligns with your project's goals and clearly states the terms of use.
  • mediumhomepage#3
    Add homepage URL to repository About section

    Why:

    COPY-PASTE FIX
    https://adongwanai.github.io/AgentGuide

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 adongwanai/AgentGuide
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. OpenAI API · recommended 1×
  4. AutoGen · recommended 1×
  5. CrewAI · recommended 1×
  • CATEGORY QUERY
    How can I get started with AI agent development for a career transition?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI API
    4. AutoGen
    5. CrewAI
    6. Haystack
    7. BabyAGI
    8. Auto-GPT

    AI recommended 8 alternatives but never named adongwanai/AgentGuide. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find a comprehensive guide for advanced RAG and LLM interview preparation?
    you: not recommended
    AI recommended (in order):
    1. Generative AI with Python and TensorFlow 2
    2. DeepLearning.AI
    3. LangChain
    4. Hugging Face
    5. transformers
    6. arXiv
    7. Towards Data Science
    8. Analytics Vidhya
    9. LlamaIndex

    AI recommended 9 alternatives but never named adongwanai/AgentGuide. 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 adongwanai/AgentGuide?
    pass
    AI named adongwanai/AgentGuide explicitly

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

  • If a team adopts adongwanai/AgentGuide in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name adongwanai/AgentGuide — 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?

  • In one sentence, what problem does the repo adongwanai/AgentGuide solve, and who is the primary audience?
    pass
    AI named adongwanai/AgentGuide explicitly

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

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adongwanai/AgentGuide — 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