RRepoGEO

REPOGEO REPORT · LITE

mizchi/ailab

Default branch main · commit a18699ac · scanned 6/2/2026, 9:08:41 AM

GitHub: 706 stars · 21 forks

AI VISIBILITY SCORE
30 /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
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 mizchi/ailab, 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 an English introductory paragraph to clarify the repo's core purpose

    Why:

    COPY-PASTE FIX
    # AI + Deno コード生成の実験場

This project is an experimental playground for AI-driven code generation, specifically focusing on defining coding rules and modes for **AI coding agents** (like CLINE/Roo) within Deno projects. It aims to improve the quality and efficiency of AI-generated code by managing configuration files that define Deno-specific coding rules and implementation modes.

このプロジェクトは、AI（特にコーディングエージェント）と Deno を組み合わせたコード生成の実験場です。Deno プロジェクトにおけるコーディングルールとモードを定義するための設定ファイルを管理し、AI によるコード生成の品質と効率を向上させることを目的としています。
  • hightopics#2
    Add relevant topics to improve categorization and recall

    Why:

    COPY-PASTE FIX
    ai-code-generation, deno, typescript, coding-agents, code-rules, zod-schema-generation, type-inference, experimentation
  • highabout#3
    Add a concise English description to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    An experimental playground for AI-driven code generation in Deno, focusing on defining coding rules and modes for AI agents, and including a module for TypeScript type inference and Zod schema generation from JSON.

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 mizchi/ailab
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
eslint/eslint
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. eslint/eslint · recommended 1×
  2. typescript-eslint/typescript-eslint · recommended 1×
  3. eslint-plugin-deno · recommended 1×
  4. deno fmt · recommended 1×
  5. deno lint · recommended 1×
  • CATEGORY QUERY
    How to define coding rules and modes for AI agents generating Deno TypeScript code?
    you: not recommended
    AI recommended (in order):
    1. ESLint (eslint/eslint)
    2. typescript-eslint (typescript-eslint/typescript-eslint)
    3. eslint-plugin-deno
    4. deno fmt
    5. deno lint
    6. TypeScript Compiler
    7. Prettier (prettier/prettier)
    8. JSON Schema
    9. import_map.json
    10. deno.json

    AI recommended 10 alternatives but never named mizchi/ailab. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to infer TypeScript types and generate Zod schemas from JSON data in Deno projects.
    you: not recommended
    AI recommended (in order):
    1. Typewiz
    2. json-to-zod
    3. quicktype
    4. json2ts
    5. ts-json-schema-generator
    6. json-schema-to-zod

    AI recommended 6 alternatives but never named mizchi/ailab. 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 mizchi/ailab?
    pass
    AI named mizchi/ailab explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of mizchi/ailab. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/mizchi/ailab.svg)](https://repogeo.com/en/r/mizchi/ailab)
HTML
<a href="https://repogeo.com/en/r/mizchi/ailab"><img src="https://repogeo.com/badge/mizchi/ailab.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

mizchi/ailab — 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