RRepoGEO

REPOGEO REPORT · LITE

countbot-ai/CountBot

Default branch main · commit 62486dd8 · scanned 6/11/2026, 12:57:01 AM

GitHub: 720 stars · 88 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 countbot-ai/CountBot, 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 H1 to explicitly state its core function as an AI Agent Framework

    Why:

    CURRENT
    <h1>CountBot</h1>
      <p>面向中文用户的开源 AI Agent 框架与运行中枢</p>
    COPY-PASTE FIX
    <h1>CountBot - 面向中文用户的开源 AI Agent 框架与运行中枢</h1>
  • mediumabout#2
    Refine the GitHub repository description to explicitly include 'framework', 'platform', and 'task orchestration' keywords

    Why:

    CURRENT
    更适配中文用户的轻量开源AI Agent | 国产大模型Coding plan支持 | 兼容OpenClaw Skills生态| 已接入微信ClawBot/微博龙虾/飞书/钉钉/QQ/小智AI/Telegram/deepseek-v4。
    COPY-PASTE FIX
    CountBot: 面向中文用户的轻量级AI Agent框架与运行中枢,支持国产大模型编程与任务编排,兼容OpenClaw Skills生态,并深度集成主流IM渠道(微信、微博、飞书、钉钉、QQ、Telegram等)及deepseek-v4等大模型。
  • lowtopics#3
    Add more descriptive topics to improve discoverability for related queries

    Why:

    CURRENT
    agent-skills, ai-agents, ai-assisted, assistant, deepseek-v4, official
    COPY-PASTE FIX
    agent-skills, ai-agents, ai-assisted, assistant, deepseek-v4, official, orchestration, workflow, multi-channel, chatbot, im-integration, chinese-ai, llm-framework

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 countbot-ai/CountBot
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. Dify · recommended 1×
  3. AgentScope · recommended 1×
  4. OpenDAN · recommended 1×
  5. Botpress · recommended 1×
  • CATEGORY QUERY
    What are the best open-source AI agent frameworks for Chinese language users with IM integration?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Dify
    3. AgentScope
    4. OpenDAN
    5. Botpress

    AI recommended 5 alternatives but never named countbot-ai/CountBot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a flexible AI agent platform for orchestrating tasks across various chat applications.
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Microsoft Semantic Kernel (microsoft/semantic-kernel)
    4. Botpress (botpress/botpress)
    5. Rasa (RasaHQ/rasa)
    6. OpenAI Assistants API

    AI recommended 6 alternatives but never named countbot-ai/CountBot. 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 countbot-ai/CountBot?
    pass
    AI named countbot-ai/CountBot explicitly

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

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

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

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MARKDOWN (README)
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countbot-ai/CountBot — 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