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Chainlon Geo

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infometa
chainlon-geo

链龙 GEO 可见度检测。查询品牌在 AI 搜索里的真实可见度、生成关键词矩阵、输出综合诊断与行动建议。当用户问「我们品牌在 AI 里能不能搜到」「AI 会不会推荐我们」「帮我做 GEO 诊断」「生成关键词矩阵」时使用。

Overview

Publisherinfometa
Repositoryworkbuddyskills
Skill namechainlon-geo
Stars
376
Forks
124
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by infometa on GitHub. Read the source before you install it.

Installation

Install the Chainlon Geo AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/infometa/workbuddyskills/tree/main/connectors/chainlon-geo-mcp/skills/chainlon-geo
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/infometa/workbuddyskills.git /tmp/workbuddyskills
mkdir -p .claude/skills
cp -r /tmp/workbuddyskills/connectors/chainlon-geo-mcp/skills/chainlon-geo .claude/skills/chainlon-geo
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Chainlon Geo in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Chainlon Geo on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Chainlon Geo is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

链龙 GEO 可见度检测

这是「链龙 GEO 连接器」配套的使用说明。 它的作用是:教 AI 什么时候该调哪个工具、参数怎么填、返回结果怎么看。 它就是一组远程工具,AI 通过它们拿到真实检索数据(不是模型凭记忆猜的)。


一、最重要的原则(务必遵守,违反会出事)

  1. 绝不编造分数、排名、结论。 本连接器只返回真实检索到的内容。当数据源未配置或检索失败时, 返回里会带 degraded: true,表示「没查到真实数据」。 此时你必须如实转述:"当前未配置真实检索数据源,无法给出真实可见度结论。" 禁止用你自己的记忆、印象、推测去补一个分数或排名。 链龙踩过这个坑:早期整套诊断都是模型编的,差点被当成真实报告卖出去。

  2. 如实标注数据来源。 有真实数据时,说明"数据来源:博查 AI 搜索"等; 降级时,明确说"无真实数据"。

  3. 一次回答不要重复调用同一个工具。 每个工具都有超时保护(25 秒),重复调用只会拖慢。


二、三个工具

1. check_visibility —— 查品牌在 AI 搜索里的可见度

什么时候用:用户问「XX 品牌在 AI 里能不能搜到 / 被提到 / 有没有存在感」。

参数必填默认值说明
brand是无品牌名,如「某某造型」
industry否美发行业,如「美发」「美容」「口腔」
city否''(空)城市,如「北京」。有城市就一定要填,本地生意的检索结果差别很大

返回怎么看:

  • degraded: false → 有真实数据。看 mentioned(是否被提到)、found_count(几个查询命中)、sources(命中证据:标题+站点+链接)。
  • degraded: true → 没查到真实数据。此时 mentioned/found_count 一律不存在, 你必须如实说明,不能自己补。

2. keyword_matrix —— 生成关键词矩阵

什么时候用:用户问「该布局哪些词」「有哪些关键词」「帮我出关键词方案」。

参数必填默认值说明
industry是无行业,如「美发」
city是无城市,如「杭州」

返回:三组关键词,每组 5-8 个:

  • brand_words 品牌词:直接搜品牌的词(看有没有公开内容资产)
  • recommend_words 推荐词:用户问「哪家店好」的典型问法
  • demand_words 需求词:带明确需求的问法(价格、哪家、怎么选)

注意:这是检索词模板,不是实测数据。转述时说"这是建议布局的检索词", 不要说"这些词的排名是 X"。

3. diagnose —— 综合诊断

什么时候用:用户要一份完整的 GEO 诊断 / 行动建议。

参数必填默认值说明
brand是无品牌名
industry否美发行业
city否''(空)城市

返回:visibility(可见度结果)+ advice(行动建议列表)+ data_status(数据状态)。

注意:degraded: true 时,advice 是通用行动清单(不针对该品牌的实测结论), 转述时必须说明这一点。


三、调用示例

用户说:"查一下某某造型在 AI 搜索里的可见度"

→ 调 check_visibility(brand="某某造型", industry="美发", city="北京")

用户说:"帮我生成一份杭州美发的关键词矩阵"

→ 调 keyword_matrix(industry="美发", city="杭州")

用户说:"给某某造型做个 GEO 综合诊断"

→ 调 diagnose(brand="某某造型", industry="美发", city="北京")


四、错误处理

情况返回特征你怎么回复用户
未配置检索数据源degraded: true,reason 含「未配置」"当前未配置真实检索数据源,无法给出真实可见度。请先到链龙后台配置数据源。"
检索超时(>25 秒)error 含「超时」"这次查询超时了,请稍后重试。" 不要自己猜结果。
参数缺失error 含参数名提醒用户补全参数(最常见是忘了填品牌名/城市)。
服务连不上调用本身失败"GEO 服务暂时不可用,请稍后再试。"

五、不要做的事

  • 不要在没有真实数据时,凭印象说「这个品牌知名度较低」——这是编的。
  • 不要给品牌打一个 0-100 的分数——本连接器不产出分数。
  • 不要把 keyword_matrix 的模板词说成「已验证有效的词」。
  • 不要向用户暴露任何密钥、接口地址细节。

Frequently asked questions

What does the Chainlon Geo AI skill do?

链龙 GEO 可见度检测。查询品牌在 AI 搜索里的真实可见度、生成关键词矩阵、输出综合诊断与行动建议。当用户问「我们品牌在 AI 里能不能搜到」「AI 会不会推荐我们」「帮我做 GEO 诊断」「生成关键词矩阵」时使用。

Why use Chainlon Geo on TypingMind?

Because you install it once and use it with any model. Chainlon Geo is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Chainlon Geo in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/infometa/workbuddyskills/tree/main/connectors/chainlon-geo-mcp/skills/chainlon-geo. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Chainlon Geo?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Chainlon Geo?

As many as you like. As long as a model supports skills, you can use Chainlon Geo with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Chainlon Geo AI skill free?

It is published on GitHub by infometa. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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