Server del Protocollo di Contesto del Modello (MCP) per SEO & AEOV1.0 LIVE

Give your AI agents Intelligenza SEO, AEO e di Ricerca in Tempo Reale

Connect Codice Claude, Cursore, 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.

Configurazione Rapida — Aggiunta con 1 Comando

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

Come gli Agenti AI eseguono le attività SEO tramite MCP

Il tuo agente AI utilizza il ragionamento in linguaggio naturale per pianificare, interrogare il database di ricerca reale di AI Rank Lab e aggiornare il codice o generare report in tempo reale.

Nessuno Scraper Personalizzato RichiestoYou 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
Connesso
Prompt Utente: "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."
Fasi di Esecuzione dell'Agente:
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 editorEndpoint: /api/v1/mcp
Built-in Tool Ecosystem

Oltre 12 Strumenti SEO Pronti per la Produzione tramite MCP

Ogni strumento disponibile nella nostra API per sviluppatori è richiamabile automaticamente dal tuo agente MCP con una rigorosa convalida dello schema e stime di credito preliminari.

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.

Prompt di Esempio:"Run a full AEO and technical SEO audit on https://example.com/blog/ai-tools and give me a prioritized fix list."
Input: url: string, depth?: string
Output: 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.

Prompt di Esempio:"Check if ChatGPT and Gemini cite our brand when asked: what is the best AI rank tracker software?"
Input: brand: string, domain: string, query: string
Output: 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.

Prompt di Esempio:"Search keywords related to generative engine optimization and build a list sorted by volume and low difficulty."
Input: query: string, country?: string
Output: 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.

Prompt di Esempio:"Fetch the bot visit logs for my domain over the last 14 days and show which pages GPTBot crawled most."
Input: domain: string, timeframe?: string
Output: 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.

Prompt di Esempio:"Audit my website pages and generate a production-ready /llms.txt file to help AI models cite our product docs."
Input: domain: string, includeFull?: boolean
Output: 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.

Prompt di Esempio:"Check the Core Web Vitals for my landing page on mobile and tell me what is causing LCP delay."
Input: url: string, strategy?: "mobile" | "desktop"
Output: 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.

Prompt di Esempio:"Fetch all live AI citations for our pricing page and show which queries bring Perplexity users to us."
Input: domain: string, targetKeyword?: string
Output: 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.

Prompt di Esempio:"Generate an FAQ JSON-LD schema markup for our top 5 product questions to place on our homepage."
Input: type: "article" | "product" | "faq", data: object
Output: 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.

Prompt di Esempio:"Compare our domain against competitorA.com and competitorB.com to find keywords where they rank in Google AI Overviews."
Input: myDomain: string, competitors: string[]
Output: 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.

Prompt di Esempio:"Identify all blog pages on our site that lost more than 20% impressions in Search Console over the last month."
Input: domain: string, timeframe?: string
Output: 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.

Prompt di Esempio:"Show GA4 referral traffic coming from ChatGPT and Perplexity over the past 30 days and top landing pages."
Input: propertyId: string, timeframe?: string
Output: 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.

Prompt di Esempio:"Generate a comprehensive AI content brief targeting the keyword Model Context Protocol for SEO."
Input: topic: string, targetPersona?: string
Output: Markdown content brief with outline, entity list, target word count
High Performance Infrastructure

Progettato per la Scalabilità degli Agenti AI e la Sicurezza delle Agenzie

Come il server MCP gestito di AI Rank Lab si confronta con le API legacy e gli scraper personalizzati.

Funzionalità / CapacitàAI Rank Lab MCPAPI SEO Legacy (Ahrefs/Semrush)Scraper Personalizzati (Puppeteer)
Standard di ProtocolloMCP Nativo (HTTP Trasmissibile)REST (Richiede codice di raccordo personalizzato)Nessuno (DOM Grezzo)
Citazioni Marchio AI e LLMSì (ChatGPT, Claude, Gemini)NoInaffidabile (Bloccato da Cloudflare)
Abbonamenti Mensili$0 Quota Obbligatoria (Crediti Universali)$500 - $1.200 / meseCosti elevati di proxy e server
Sicurezza Costi PreliminareIntegrato (Stime anticipate)No (Sovraconsumi fatturati direttamente)N/D
Integrazione IDE (Cursor/Claude)Aggiunta a 1 comandoWrapper complesso richiestoRichiede sottoprocessi locali
UNIVERSAL CREDIT BILLING

Tariffe MCP Trasparenti a Consumo

Le chiamate MCP si autenticano utilizzando la tua chiave API standard e vengono dedotte dal saldo mensile universale di crediti del tuo account. Zero costi nascosti.

ai-citation-check

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

per engine

100crediti / chiamata
backlinks-list

Every individual backlink, with anchors, authority and spam signals

150crediti / chiamata
seo-aeo-geo-audit

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

50crediti / chiamata
audits

Technical + AEO audit of a single URL

50crediti / chiamata
google-search

Live Google SERP for one query, by country and device

100crediti / chiamata
google-ai-overview

Google's AI Overview answer and the sources it cites

100crediti / chiamata
FAQ

Domande Frequenti

Tutto quello che devi sapere su come configurare e chiamare AI Rank Lab su MCP.

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.

Pronto a potenziare i tuoi agenti AI con l'intelligenza di ricerca?

Genera la tua chiave API in pochi secondi e collega Claude Code, Cursor o il tuo framework di agente personalizzato oggi stesso.