RRepoGEO

REPOGEO REPORT · LITE

codeaholicguy/ai-devkit

Default branch main · commit ee05c796 · scanned 5/15/2026, 3:41:46 PM

GitHub: 1,191 stars · 193 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 codeaholicguy/ai-devkit, 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
    Reposition the README's opening statement to clarify its niche

    Why:

    CURRENT
    The toolkit for AI-assisted software development. AI DevKit helps AI coding agents work more effectively with your codebase. It provides structured workflows, persistent memory, and reusable skills — so agents follow the same engineering standards as senior developers.
    COPY-PASTE FIX
    The **universal CLI toolkit for AI coding agents** to standardize workflows and enforce engineering practices. AI DevKit helps AI coding agents work more effectively with your codebase by providing structured workflows, persistent memory, and reusable skills — so agents follow the same engineering standards as senior developers.
  • highlicense#2
    Add a LICENSE file to the repository root

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the full text of the MIT License.
  • mediumtopics#3
    Add more specific topics to reinforce the project's core purpose

    Why:

    CURRENT
    agent-skills, ai, ai-assisted-development, antigravity, claude-code, codex, cursor, development, engineering, engineering-enablement, engineering-experience, prd
    COPY-PASTE FIX
    ai-agents, agent-workflows, engineering-standards, cli-toolkit, ai-development, code-generation, agent-orchestration, agent-skills, ai, ai-assisted-development, antigravity, claude-code, codex, cursor, development, engineering, engineering-enablement, engineering-experience, prd

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 codeaholicguy/ai-devkit
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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 2×
  2. mlflow/mlflow · recommended 1×
  3. iterative/dvc · recommended 1×
  4. GitHub Actions · recommended 1×
  5. GitLab CI/CD · recommended 1×
  • CATEGORY QUERY
    How to standardize AI coding agent workflows and engineering practices across a team?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. MLflow (mlflow/mlflow)
    3. DVC (iterative/dvc)
    4. GitHub Actions
    5. GitLab CI/CD
    6. Pydantic (pydantic/pydantic)
    7. black (psf/black)
    8. isort (PyCQA/isort)
    9. flake8 (PyCQA/flake8)
    10. ruff (astral-sh/ruff)
    11. Jupyter Notebooks (jupyter/jupyter)

    AI recommended 11 alternatives but never named codeaholicguy/ai-devkit. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help integrate and manage multiple AI coding assistants for development tasks?
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. Continue.dev (continue-dev/continue)
    3. VS Code
    4. GitHub Copilot
    5. Codeium
    6. Tabnine
    7. ChatGPT
    8. OpenAI API
    9. Azure OpenAI Service
    10. LangChain (langchain-ai/langchain)
    11. LlamaIndex (run-llama/llama_index)
    12. JetBrains IDEs

    AI recommended 12 alternatives but never named codeaholicguy/ai-devkit. 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 codeaholicguy/ai-devkit?
    pass
    AI named codeaholicguy/ai-devkit explicitly

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

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