RRepoGEO

REPOGEO REPORT · LITE

automata/aicodeguide

Default branch main · commit ec604672 · scanned 5/24/2026, 4:08:17 AM

GitHub: 2,559 stars · 246 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 automata/aicodeguide, 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
    Add a direct statement of purpose at the top of the README

    Why:

    CURRENT
    > Everything you wanted to know about using AI to help you code and/or to code for you.
    COPY-PASTE FIX
    This repository is the AI Code Guide: a comprehensive roadmap to start coding with AI, covering tools, practices, and modern development with large language models.

> Everything you wanted to know about using AI to help you code and/or to code for you.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT, Apache-2.0, GPL-3.0) in the root of the repository, choosing the license that best fits the project's intent.
  • mediumtopics#3
    Expand repository topics to include more specific AI development terms

    Why:

    CURRENT
    ai, aicode, aicoding, course, llm, roadmap, vibe-coding
    COPY-PASTE FIX
    ai, aicode, aicoding, course, llm, roadmap, vibe-coding, ai-software-development, prompt-engineering, code-generation

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 automata/aicodeguide
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 2×
  2. The Pragmatic Programmer, 20th Anniversary Edition · recommended 1×
  3. Clean Code: A Handbook of Agile Software Craftsmanship · recommended 1×
  4. DeepLearning.AI's "Generative AI with Large Language Models" Specialization · recommended 1×
  5. Amazon CodeWhisperer · recommended 1×
  • CATEGORY QUERY
    Looking for a comprehensive guide to learn AI-assisted coding and modern development practices.
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. The Pragmatic Programmer, 20th Anniversary Edition
    3. Clean Code: A Handbook of Agile Software Craftsmanship
    4. DeepLearning.AI's "Generative AI with Large Language Models" Specialization
    5. Amazon CodeWhisperer
    6. Google Gemini Code Assist
    7. Microsoft Learn Modules
    8. Azure OpenAI Service
    9. Effective Python: 90 Specific Ways to Write Better Python
    10. Fireship
    11. ThePrimeagen
    12. freeCodeCamp.org

    AI recommended 12 alternatives but never named automata/aicodeguide. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What is a good roadmap to understand and apply AI tools for software development?
    you: not recommended
    AI recommended (in order):
    1. Python
    2. NumPy
    3. Pandas
    4. Matplotlib
    5. Seaborn
    6. Scikit-learn
    7. TensorFlow
    8. PyTorch
    9. GitHub Copilot
    10. Tabnine
    11. OpenAI Codex
    12. Ponicode
    13. Symflower
    14. TensorFlow Serving
    15. PyTorch Serve
    16. Docker
    17. Kubernetes
    18. MLflow
    19. AWS SageMaker
    20. Google Cloud AI Platform
    21. Azure Machine Learning
    22. Coursera
    23. fast.ai
    24. Kaggle

    AI recommended 24 alternatives but never named automata/aicodeguide. 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 automata/aicodeguide?
    pass
    AI named automata/aicodeguide explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite