RRepoGEO

REPOGEO REPORT · LITE

jianshuo/ccglass

Default branch main · commit 71b429ec · scanned 6/19/2026, 9:23:16 AM

GitHub: 518 stars · 34 forks

AI VISIBILITY SCORE
28 /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
2 / 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 jianshuo/ccglass, 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
  • hightopics#1
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai-agent-monitoring, llm-proxy, developer-tools, debugging, prompt-engineering, claude, openai-codex, kimi, ollama
  • highabout#2
    Refine the 'About' description for AI clarity

    Why:

    CURRENT
    See what your coding agent (Claude Code, Codex, Kimi) sends to the model — local proxy + web dashboard
    COPY-PASTE FIX
    Local proxy + web dashboard to inspect and debug what your AI coding agent (Claude Code, Codex, Kimi, Ollama) sends to language models.
  • mediumreadme#3
    Strengthen README's opening for AI context

    Why:

    CURRENT
    # ccglass **See exactly what your coding agent sends to the model.** A lightweight local logging reverse-proxy + web dashboard for **Claude Code, Codex, OpenCode, DeepSeek-TUI, Reasonix, CodeBuddy, Kimi, Ollama, OpenRouter, and more**.
    COPY-PASTE FIX
    # ccglass **See exactly what your AI coding agent sends to the model.** Debug and understand your AI assistant's behavior with this lightweight local logging reverse-proxy + web dashboard for **Claude Code, Codex, OpenCode, DeepSeek-TUI, Reasonix, CodeBuddy, Kimi, Ollama, OpenRouter, and more**.

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 jianshuo/ccglass
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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 1×
  2. Cursor · recommended 1×
  3. Codeium · recommended 1×
  4. VS Code Developer Tools · recommended 1×
  5. JetBrains IDEs · recommended 1×
  • CATEGORY QUERY
    How can I inspect the exact prompts and requests my AI coding assistant sends?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Cursor
    3. Codeium
    4. VS Code Developer Tools
    5. JetBrains IDEs
    6. Fiddler
    7. Charles Proxy
    8. Wireshark
    9. OpenAI

    AI recommended 9 alternatives but never named jianshuo/ccglass. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to monitor and analyze API calls from my AI development agent to language models.
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LangSmith
    3. OpenReplay (openreplay/openreplay)
    4. Datadog
    5. New Relic
    6. Honeycomb
    7. Grafana Tempo (grafana/tempo)

    AI recommended 7 alternatives but never named jianshuo/ccglass. 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 jianshuo/ccglass?
    pass
    AI named jianshuo/ccglass explicitly

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

  • If a team adopts jianshuo/ccglass in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jianshuo/ccglass 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 jianshuo/ccglass solve, and who is the primary audience?
    pass
    AI did not name jianshuo/ccglass — likely talking about a different project

    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 jianshuo/ccglass. 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/jianshuo/ccglass.svg)](https://repogeo.com/en/r/jianshuo/ccglass)
HTML
<a href="https://repogeo.com/en/r/jianshuo/ccglass"><img src="https://repogeo.com/badge/jianshuo/ccglass.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

jianshuo/ccglass — 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