模型上下文协议 (MCP) 服务器,用于 SEO 和 AEOV1.0 现已上线

Give your AI agents 实时 SEO、AEO 和搜索智能

Connect Claude 代码, Cursor, Windsurf, or custom Python/TypeScript agents directly to live Google SERP data, AI brand visibility checks, bot visit logs, and page audits — over Anthropic's open Model Context Protocol.

快速设置 — 一行命令添加

Add AI Rank Lab tools directly to your terminal agent in one command.

claude mcp add --transport http airanklab https://www.airanklab.com/api/v1/mcp \
  --header "x-api-key: YOUR_API_KEY" \
  --header "x-api-secret: YOUR_API_SECRET"
Interactive Agent Workflow

AI 代理如何在 MCP 上执行 SEO 任务

您的 AI 代理利用自然语言推理进行规划,查询 AI Rank Lab 的真实搜索数据库,并实时更新代码或输出报告。

无需任何自定义爬虫You don't need to write Python scrapers or manage Selenium/Puppeteer instances. The MCP server handles proxying, live Google SERP extraction, and DOM analysis natively.
MCP Execution Stream — Cursor IDE
已连接
用户提示: "Read my local blog file landing-page.tsx, then run a live AEO audit via AI Rank Lab MCP and rewrite the meta & schema tags directly in my file."
代理执行步骤:
1.Cursor connects to https://www.airanklab.com/api/v1/mcp
2.Executes run_url_audit(url: "https://mysite.com")
3.Receives JSON audit payload: missing JSON-LD schema & low H2 keyword density
4.Applies code fixes directly inside landing-page.tsx
Result ready in editor端点:/api/v1/mcp
Built-in Tool Ecosystem

通过 MCP 提供 12+ 生产就绪的 SEO 工具

我们的开发者 API 中提供的所有工具,您的 MCP 代理都可以自动调用,并具有严格的模式验证和预估信用额度。

run_url_audit

Full SEO + AEO + GEO Page Audit

Comprehensive analysis of any web page — technical health, Core Web Vitals, Schema markup, and AI Engine Optimization (AEO) readiness.

示例提示:"Run a full AEO and technical SEO audit on https://example.com/blog/ai-tools and give me a prioritized fix list."
输入: url: string, depth?: string
输出: SEO score, AEO score, GEO recommendations, critical fixes list
check_ai_brand_visibility

AI Search & LLM Citation Audit

Queries ChatGPT (GPT-4o), Claude 3.5, Gemini 1.5, and Perplexity to see if your brand is recommended for buyer queries vs. competitors.

示例提示:"Check if ChatGPT and Gemini cite our brand when asked: what is the best AI rank tracker software?"
输入: brand: string, domain: string, query: string
输出: Mention percentage, citation URLs, competitor gap analysis
search_keywords

Keyword Universe & SERP Intent

Pulls live search volumes, keyword difficulty (KD), CPC, SERP features (AI Overviews, PAA, Featured Snippets), and topic clusters.

示例提示:"Search keywords related to generative engine optimization and build a list sorted by volume and low difficulty."
输入: query: string, country?: string
输出: Keyword metrics array, difficulty score, SERP features, related terms
get_bot_visits

AI Bot Visit Logs (GPTBot, ClaudeBot)

Logs and reports how often AI engine crawlers (GPTBot, ClaudeBot, PerplexityBot, Bytespider) visit your website pages.

示例提示:"Fetch the bot visit logs for my domain over the last 14 days and show which pages GPTBot crawled most."
输入: domain: string, timeframe?: string
输出: Bot hit counts, top crawled URLs, crawler breakdown chart data
generate_llms_txt

llms.txt & llms-full.txt Generator

Generates standard /llms.txt files that structure your site content specifically for LLM scraping and AI citations.

示例提示:"Audit my website pages and generate a production-ready /llms.txt file to help AI models cite our product docs."
输入: domain: string, includeFull?: boolean
输出: Formatted markdown /llms.txt and /llms-full.txt code content
core_web_vitals

Core Web Vitals & PageSpeed Scan

Executes Google PageSpeed Insights scans for mobile and desktop, returning exact LCP, CLS, FID, and performance opportunities.

示例提示:"Check the Core Web Vitals for my landing page on mobile and tell me what is causing LCP delay."
输入: url: string, strategy?: "mobile" | "desktop"
输出: Performance score, Core Web Vitals pass/fail, diagnostics list
get_page_citations

Live AI Citation & Source Tracker

Retrieves active citations across ChatGPT, Perplexity, and Gemini search answers with source link verification.

示例提示:"Fetch all live AI citations for our pricing page and show which queries bring Perplexity users to us."
输入: domain: string, targetKeyword?: string
输出: Citation count, AI Engine source URLs, sentiment rating
generate_schema_markup

AI-Ready Schema.org JSON-LD Generator

Builds validated Organization, Product, Article, FAQ, and HowTo JSON-LD schemas optimized for AI search parsers.

示例提示:"Generate an FAQ JSON-LD schema markup for our top 5 product questions to place on our homepage."
输入: type: "article" | "product" | "faq", data: object
输出: Validated JSON-LD schema snippet string
analyze_competitor_gaps

Competitor AEO & Keyword Gap Matrix

Compares your website against up to 3 competitors to uncover missing keywords, AI Overview opportunities, and backlink gaps.

示例提示:"Compare our domain against competitorA.com and competitorB.com to find keywords where they rank in Google AI Overviews."
输入: myDomain: string, competitors: string[]
输出: Shared keywords, missing high-intent terms, AI gap score
get_search_console_queries

GSC AI Cannibalization & Decay Detector

Connects to Google Search Console to detect decaying pages, CTR anomalies, and internal keyword cannibalization.

示例提示:"Identify all blog pages on our site that lost more than 20% impressions in Search Console over the last month."
输入: domain: string, timeframe?: string
输出: Decaying URLs list, low-CTR keywords, cannibalization alerts
get_ga4_ai_traffic

GA4 AI Bot Referral Traffic Analyzer

Analyzes GA4 analytics data for referral traffic originating from ChatGPT, Claude, Perplexity, and Meta AI.

示例提示:"Show GA4 referral traffic coming from ChatGPT and Perplexity over the past 30 days and top landing pages."
输入: propertyId: string, timeframe?: string
输出: AI referral visitor count, conversion rate, top landing pages
generate_ai_content_brief

AI Content Brief & Outline Generator

Creates exhaustive content briefs with heading structures (H2/H3), semantic LSI keywords, and entity definitions designed for AEO.

示例提示:"Generate a comprehensive AI content brief targeting the keyword Model Context Protocol for SEO."
输入: topic: string, targetPersona?: string
输出: Markdown content brief with outline, entity list, target word count
High Performance Infrastructure

专为 AI 代理规模化和机构安全而打造

AI Rank Lab 的托管 MCP 服务器与传统 API 和自定义爬虫有何不同。

特性 / 功能AI Rank Lab MCP传统 SEO API (Ahrefs/Semrush)自定义爬虫 (Puppeteer)
协议标准原生 MCP (可流式 HTTP)REST (需要自定义粘合代码)无 (原始 DOM)
AI 品牌与 LLM 引用是 (ChatGPT, Claude, Gemini)不可靠 (被 Cloudflare 阻止)
按月订阅0 美元强制费用 (通用积分)每月 500 - 1,200 美元高昂的代理和服务器成本
预估成本安全内置 (提前预估)否 (超额部分直接计费)不适用
IDE 集成 (Cursor/Claude)一键添加需要复杂封装需要本地子进程
UNIVERSAL CREDIT BILLING

透明的按需付费 MCP 费率

MCP 调用使用您的标准 API 密钥进行认证,并从您账户的通用月度积分余额中扣除。无任何隐藏费用。

ai-citation-check

Ask ChatGPT, Perplexity, Claude and Gemini one question and see who cites you

per engine

100积分/次调用
backlinks-list

Every individual backlink, with anchors, authority and spam signals

150积分/次调用
seo-aeo-geo-audit

Full SEO + AEO + GEO checker — the same three-pillar report as the dashboard

50积分/次调用
audits

Technical + AEO audit of a single URL

50积分/次调用
google-search

Live Google SERP for one query, by country and device

100积分/次调用
google-ai-overview

Google's AI Overview answer and the sources it cites

100积分/次调用
常见问题

常见问题

关于如何通过 MCP 设置和调用 AI Rank Lab,你需要知道的一切。

Model Context Protocol (MCP) is an open standard developed by Anthropic that lets AI clients (such as Claude Code, Cursor, Windsurf, or custom Python scripts) securely connect to external tools and data sources. Instead of writing custom API code for every tool, MCP lets the AI natively discover and execute functions directly within a chat or terminal session.

准备好用搜索智能为你的 AI 代理赋能了吗?

即刻生成 API 密钥,并立即连接 Claude Code、Cursor 或你的自定义代理框架。