Ai Visibility

io.github.sharozdawa由 GitHub 账号 sharozdawa 发布v1.0.0更新于 Oct 24, 2026

Track brand visibility across ChatGPT, Perplexity, Claude, and Gemini.

已验证STDIO仅桌面数据与分析商业与电商

概览

AI 生成的概览

一个本地 MCP 服务器，报告 ChatGPT、Perplexity、Claude 和 Gemini 等 AI 平台如何提及某品牌，并给出评分、情感倾向和竞品数据。

可以做什么
检查品牌在四个 AI 平台上的可见度，包含提及率、排名位置、情感倾向和竞品分析；也可针对单一平台上的特定查询，获取提及状态、位置、上下文片段和情感倾向。计算 0-100 的整体可见度评分，附等级评定、各平台明细和改进建议。将 2 至 10 个品牌并排比较，给出排名结果和各平台得分。列出支持的平台及各自获取品牌信息的方式。
适用场景
适合营销人员或品牌方快速、可重复地了解 AI 助手如何描述自家品牌及竞品，并获得改进 AI 可见度的优先建议。
运行要求
通过 stdio 在本地运行，通常用 npx 从 npm 包 ai-visibility-mcp 启动，因此需要 Node.js。未声明需要账号、API 密钥或环境变量。可选的自托管网页仪表板需要数据库连接字符串。
安装前请注意
README 说明结果使用带种子的随机数，因此评分是可复现的模拟结果，而非对 AI 平台的实时查询，应视为参考而非实测。可选的仪表板配置要求在本地环境文件中填写数据库连接字符串。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Ai Visibility，将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only，通过 STDIO。 STDIO 服务会启动本地进程，因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

[图片]

[npm version] [GitHub stars] [License] [PRs Welcome] [AI Visibility MCP server]

Know exactly how AI platforms talk about your brand.
Track mentions, sentiment, position, and competitors across the AI platforms that shape buying decisions.

Features

  • Multi-Platform Tracking — Monitor visibility across ChatGPT, Perplexity, Claude, and Gemini simultaneously
  • Visibility Scoring — Get a 0-100 score with tier ratings (Excellent / Good / Moderate / Low / Very Low)
  • Sentiment Analysis — Understand whether AI platforms describe your brand positively, neutrally, or negatively
  • Competitor Intelligence — See which competitors appear alongside your brand in AI responses
  • Brand Comparison — Compare up to 10 brands side by side with per-platform breakdowns
  • Actionable Recommendations — Get prioritized steps to improve your AI visibility
  • MCP Server — Works with Claude Desktop, Cursor, and any MCP-compatible client
  • Consistent Results — Seeded randomness ensures reproducible results for the same brand

MCP Server Installation

Claude Desktop

Add to your claude_desktop_config.json:

json
{  "mcpServers": {    "ai-visibility": {      "command": "npx",      "args": ["-y", "ai-visibility-mcp"]    }  }}

Cursor

Add to your Cursor MCP settings (.cursor/mcp.json):

json
{  "mcpServers": {    "ai-visibility": {      "command": "npx",      "args": ["-y", "ai-visibility-mcp"]    }  }}

npx (standalone)

bash
npx ai-visibility-mcp

MCP Tools

ToolDescription
check_brand_visibilityCheck a brand's visibility across AI platforms with detailed per-platform results, mention rates, positions, sentiment, and competitor analysis
check_single_queryCheck brand mention for a specific query on a specific platform — get mention status, position, context snippet, and sentiment
get_visibility_scoreCalculate overall AI visibility score (0-100) with tier rating, per-platform breakdowns, and improvement recommendations
compare_brandsCompare visibility of 2-10 brands side by side with ranked results and per-platform scores
get_recommendationsGet prioritized, actionable recommendations to improve AI visibility based on current score
list_platformsList all supported AI platforms with details on how each sources and presents brand information

How Scoring Works

The visibility score (0-100) is calculated from three components:

ComponentWeightWhat It Measures
Mention Rate40%How often the brand appears in AI responses
Position Quality30%Where the brand is mentioned (1st = best, 5th = worst)
Sentiment30%Whether mentions are positive, neutral, or negative

Score Tiers:

  • 80-100 Excellent — Strong presence across platforms
  • 60-79 Good — Visible but room to improve
  • 40-59 Moderate — Appears in some responses
  • 20-39 Low — Limited visibility
  • 0-19 Very Low — Rarely mentioned

Self-Hosting

Clone the repo and build the MCP server:

bash
git clone https://github.com/sharozdawa/ai-visibility.gitcd ai-visibility/mcp-servernpm installnpm run build

Run the MCP server directly:

bash
node dist/index.js

Or point your MCP client to the local build:

json
{  "mcpServers": {    "ai-visibility": {      "command": "node",      "args": ["/path/to/ai-visibility/mcp-server/dist/index.js"]    }  }}

Run the Web Dashboard

The project includes a Next.js dashboard for visual tracking:

bash
cd ai-visibilitycp .env.example .env# Set your DATABASE_URL in .envnpm installnpx prisma db pushnpm run dev

Platforms Tracked

PlatformCompanyHow It Sources Information
ChatGPTOpenAITrained on web data; optional web browsing for real-time info
PerplexityPerplexity AIReal-time web search with source citations
ClaudeAnthropicTrained on web data; focuses on accurate, well-reasoned responses
GeminiGoogleLeverages Google Search index and Knowledge Graph

Why AI Visibility vs Paid Alternatives

Featureai-visibilityOtterlyAthenaHQ
Platforms tracked432
Visibility scoreYesYesYes
Competitor analysisYesYesLimited
Sentiment analysisYesNoNo
Self-hostableYesNoNo
Open sourceYesNoNo
PriceFree$100-300/mo$200-500/mo

More Open Source SEO Tools

ToolDescription
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robotstxt-aiVisual robots.txt manager for AI crawlers
indexnow-mcpInstant URL indexing via IndexNow
schema-genSchema.org JSON-LD markup generator

License

MIT

Built by Sharoz Dawa
[GitHub]

[图片]

来源：README.md，提交 ba0253d

工具

0
SourceWeft 尚未在沙箱中启动过该软件包，因此其工具未知。

版本历史

1
  1. v1.0.0最新Sep 16, 2026

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