RRepoGEO

REPOGEO REPORT · LITE

MadAppGang/claudish

Default branch main · commit cd1a1a44 · scanned 6/12/2026, 11:17:04 AM

GitHub: 905 stars · 123 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 MadAppGang/claudish, 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 README H3 to emphasize universal adapter role

    Why:

    CURRENT
    ### Claude Code. Any Model.
    COPY-PASTE FIX
    ### Run Claude Code with Any AI Model via a Unified CLI.
  • highlicense#2
    Add a standard open-source license file

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root containing the text of a standard open-source license (e.g., MIT License). Then, update the `About` section on GitHub to reflect the chosen license.
  • mediumtopics#3
    Expand repository topics for better categorization

    Why:

    CURRENT
    ai, claude, claudecode
    COPY-PASTE FIX
    ai, claude, claudecode, cli, coding-agent, model-agnostic, unified-api, llm-tools

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 MadAppGang/claudish
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. AutoGen · recommended 1×
  4. CrewAI · recommended 1×
  5. OpenDevin · recommended 1×
  • CATEGORY QUERY
    How can I use a Claude-like coding agent with my existing OpenAI or local models?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGen
    4. CrewAI
    5. OpenDevin

    AI recommended 5 alternatives but never named MadAppGang/claudish. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tool allows running various AI models through a unified coding assistant interface?
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. VS Code
    3. GitHub Copilot
    4. Codeium
    5. Tabnine
    6. Continue
    7. JetBrains IDEs
    8. AI Assistant
    9. Ollama
    10. Open Interpreter

    AI recommended 10 alternatives but never named MadAppGang/claudish. 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 MadAppGang/claudish?
    pass
    AI named MadAppGang/claudish explicitly

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

  • If a team adopts MadAppGang/claudish in production, what risks or prerequisites should they evaluate first?
    pass
    AI named MadAppGang/claudish 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 MadAppGang/claudish solve, and who is the primary audience?
    pass
    AI named MadAppGang/claudish 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 MadAppGang/claudish. 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/MadAppGang/claudish.svg)](https://repogeo.com/en/r/MadAppGang/claudish)
HTML
<a href="https://repogeo.com/en/r/MadAppGang/claudish"><img src="https://repogeo.com/badge/MadAppGang/claudish.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

MadAppGang/claudish — 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