SEO 및 AEO를 위한 모델 컨텍스트 프로토콜(MCP) 서버V1.0 정식 출시

Give your AI agents 실시간 SEO, AEO 및 검색 인텔리전스

Connect Claude 코드, 커서, 윈드서프, 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.

Get Free MCP API KeysTry Autopilot Agent UI
빠른 설정 — 한 번의 명령으로 추가

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 에이전트가 MCP를 통해 SEO 작업을 실행하는 방법

귀하의 AI 에이전트는 자연어 추론을 사용하여 계획하고, AI Rank Lab의 실제 검색 데이터베이스에 쿼리하며, 실시간으로 코드를 업데이트하거나 보고서를 출력합니다.

맞춤형 스크레이퍼 불필요You 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
연결됨
사용자 프롬프트: "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."
에이전트 실행 단계:
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 editor엔드포인트: /api/v1/mcp
Built-in Tool Ecosystem

MCP를 통한 12개 이상의 상용화된 SEO 도구

당사 개발자 API에서 제공되는 모든 도구는 귀하의 MCP 에이전트가 엄격한 스키마 유효성 검사와 사전 크레딧 예상 기능을 통해 자동으로 호출할 수 있습니다.

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.

샘플 프롬프트:"Run a full AEO and technical SEO audit on https://example.com/blog/ai-tools and give me a prioritized fix list."
입력: url: string, depth?: string
출력: 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.

샘플 프롬프트:"Check if ChatGPT and Gemini cite our brand when asked: what is the best AI rank tracker software?"
입력: brand: string, domain: string, query: string
출력: 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.

샘플 프롬프트:"Search keywords related to generative engine optimization and build a list sorted by volume and low difficulty."
입력: query: string, country?: string
출력: 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.

샘플 프롬프트:"Fetch the bot visit logs for my domain over the last 14 days and show which pages GPTBot crawled most."
입력: domain: string, timeframe?: string
출력: 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.

샘플 프롬프트:"Audit my website pages and generate a production-ready /llms.txt file to help AI models cite our product docs."
입력: domain: string, includeFull?: boolean
출력: 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.

샘플 프롬프트:"Check the Core Web Vitals for my landing page on mobile and tell me what is causing LCP delay."
입력: url: string, strategy?: "mobile" | "desktop"
출력: 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.

샘플 프롬프트:"Fetch all live AI citations for our pricing page and show which queries bring Perplexity users to us."
입력: domain: string, targetKeyword?: string
출력: 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.

샘플 프롬프트:"Generate an FAQ JSON-LD schema markup for our top 5 product questions to place on our homepage."
입력: type: "article" | "product" | "faq", data: object
출력: 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.

샘플 프롬프트:"Compare our domain against competitorA.com and competitorB.com to find keywords where they rank in Google AI Overviews."
입력: myDomain: string, competitors: string[]
출력: 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.

샘플 프롬프트:"Identify all blog pages on our site that lost more than 20% impressions in Search Console over the last month."
입력: domain: string, timeframe?: string
출력: 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.

샘플 프롬프트:"Show GA4 referral traffic coming from ChatGPT and Perplexity over the past 30 days and top landing pages."
입력: propertyId: string, timeframe?: string
출력: 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.

샘플 프롬프트:"Generate a comprehensive AI content brief targeting the keyword Model Context Protocol for SEO."
입력: topic: string, targetPersona?: string
출력: Markdown content brief with outline, entity list, target word count
High Performance Infrastructure

AI 에이전트 확장성 및 에이전시 보안을 위해 구축됨

AI Rank Lab의 관리형 MCP 서버가 기존 API 및 맞춤형 스크레이퍼와 어떻게 다른지

기능 / 역량AI Rank Lab MCP기존 SEO API (Ahrefs/Semrush)맞춤형 스크레이퍼 (Puppeteer)
프로토콜 표준네이티브 MCP (스트리밍 HTTP 지원)REST (맞춤형 글루 코드 필요)없음 (원시 DOM)
AI 브랜드 및 LLM 인용예 (ChatGPT, Claude, Gemini)아니요신뢰할 수 없음 (Cloudflare에 의해 차단됨)
월간 구독$0 의무 수수료 (범용 크레딧)월 $500 - $1,200높은 프록시 및 서버 비용
사전 비용 예측 안전성내장 (사전 견적)아니요 (초과분 직접 청구됨)해당 없음
IDE 통합 (Cursor/Claude)1회 명령 추가복잡한 래퍼 필요로컬 서브 프로세스 필요
UNIVERSAL CREDIT BILLING

투명한 종량제 MCP 요금

MCP 호출은 표준 API 키를 사용하여 인증되며, 계정의 범용 월별 크레딧 잔액에서 차감됩니다. 숨겨진 수수료는 없습니다.

ai-citation-check

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

per engine

100호출당 크레딧
backlinks-list

Every individual backlink, with anchors, authority and spam signals

150호출당 크레딧
seo-aeo-geo-audit

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

50호출당 크레딧
audits

Technical + AEO audit of a single URL

50호출당 크레딧
google-search

Live Google SERP for one query, by country and device

100호출당 크레딧
google-ai-overview

Google's AI Overview answer and the sources it cites

100호출당 크레딧
View complete pricing breakdown & credit plans
자주 묻는 질문

자주 묻는 질문

MCP를 통해 AI Rank Lab을 설정하고 호출하는 데 필요한 모든 정보

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.

검색 인텔리전스로 AI 에이전트의 성능을 강화할 준비가 되셨나요?

몇 초 만에 API 키를 생성하고, 오늘 Claude Code, Cursor 또는 맞춤형 에이전트 프레임워크에 연결하세요.

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