RRepoGEO

REPOGEO REPORT · LITE

kaitranntt/ccs

Default branch main · commit 95ad454e · scanned 5/9/2026, 8:01:44 AM

GitHub: 2,309 stars · 195 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 kaitranntt/ccs, 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 H1 and subtitle to reflect broad multi-AI provider scope

    Why:

    CURRENT
    # CCS - Claude Code Switch
### The multi-provider profile and runtime manager for Claude Code and compatible CLIs
    COPY-PASTE FIX
    # CCS - Unified AI Runtime & Profile Manager
### The multi-provider solution for Claude, Gemini, Copilot, OpenRouter, and compatible CLIs
  • mediumcomparison#2
    Add a 'Comparison with Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    ## Comparison with Alternatives

While tools like LiteLLM and Ollama focus on [their primary use case], CCS stands out by offering [specific differentiators from 'Why CCS' section, e.g., unified profile switching across multiple providers (Claude, Gemini, Copilot, OpenRouter), an OAuth proxy, and a visual dashboard, all designed for zero-config production readiness].
  • lowreadme#3
    Integrate 'Zero-config to production-ready' into the README's introduction

    Why:

    COPY-PASTE FIX
    Add the sentence 'Designed for immediate use, CCS is zero-config to production-ready, providing robust multi-provider management for any team.' to the introductory section of the README, perhaps right after the main title/subtitle.

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 kaitranntt/ccs
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LiteLLM
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LiteLLM · recommended 2×
  2. OpenAI Python Library · recommended 2×
  3. LM Studio · recommended 1×
  4. Ollama · recommended 1×
  5. Anthropic Python Library · recommended 1×
  • CATEGORY QUERY
    How to easily switch between different AI assistant models and accounts via command line?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. LiteLLM
    4. OpenAI Python Library
    5. Anthropic Python Library
    6. Google Generative AI Python Library

    AI recommended 6 alternatives but never named kaitranntt/ccs. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a CLI tool to manage multiple large language model APIs and credentials efficiently.
    you: not recommended
    AI recommended (in order):
    1. LiteLLM
    2. LMQL
    3. OpenAI Python Library
    4. LangChain
    5. Hugging Face `transformers`
    6. direnv
    7. envdir

    AI recommended 7 alternatives but never named kaitranntt/ccs. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 kaitranntt/ccs?
    pass
    AI named kaitranntt/ccs explicitly

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

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

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

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kaitranntt/ccs — 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