"Analyzing Competitor SEO Strategies Through Google SERPs" matching MCP servers:

Enables AI assistants to search Google SERPs, track rankings across locations, run Lighthouse SEO audits, find broken internal links, analyze backlinks, and get keyword volume data through a hosted service.

AutomateLab AI-SEO audits, scores, and rewrites web pages for AI citation eligibility, AEO and GEO. No API keys or registration. Works with Claude, Cursor, Codex, and other MCP clients. Product and documentation: https://automatelab.tech/products/mcp/ai-seo/

Get access to real-time SEO data, including: keyword insights, backlink data, traffic estimates and more. Allow AI tools and Large Language Models (LLMs) to tap into the real-time SEO Review Tools API with natural language commands.

Connects AI assistants to SEO data from Yandex Webmaster, Google Search Console, Yandex Metrica, and Topvisor, enabling natural language analysis of search performance, indexation, positions, and audits.

SEO MCP connects AI assistants to Search Console, technical SEO audits, crawl insights, Core Web Vitals, and uptime data.

MCP server for technical SEO audits, powered by the detail.web engine. Run a site audit straight from your AI agent to get a health score, issues across 8 categories, and a GEO sub-score.

Official Google Analytics MCP Server

42 local SEO tools for AI assistants. SERP tracking, Google Business Profile data, review monitoring, keyword research, AI visibility scoring, geogrid rank scans, citation audits, and competitive analysis.

MCP server that provides tools and resources for interacting with Google Ads API, enabling search, metadata retrieval, and account management through natural language.

Enables LLMs to interact with Google Ads accounts via tools like list_accounts and search_stream, using a standardized Model Context Protocol integration.

Enables Large Language Models to interact with Google Ads API for querying campaigns, ad groups, and performing mutations like creating budgets and ads.

Lets any AI agent audit any website for SEO, GEO/AEO, and speed problems, reporting issues and recommendations without modifying the site.

A Model Context Protocol (MCP) server for Chrome Enterprise Premium that exposes DLP rules, content detectors, connector policies, browser telemetry, and license management as MCP tools, enabling any MCP-compatible AI agent to inspect and configure a Chrome Enterprise environment.

Zero-trust local MCP bridge that exposes read-only database tools and structured book navigation to AI agents, with two-tier PII redaction and MPS audit integration.

Enables AI assistants to manage Google Cloud NetApp Volumes resources including storage pools, volumes, snapshots, backups, and more through natural language.

Create, launch, and manage Meta + Google ads from Claude and ChatGPT. Analytics, strategy, and autopilot automation for any store.

MCP server for Google Ads. Audit spend, find wasted budget, create campaigns, monitor performance, and optimize ads directly from ChatGPT, Claude, or any MCP-compatible client.

Monitors brand mentions, citations, sentiment, competitor share of voice, and GEO performance across AI search engines.

Integrates the Serpstat SEO API with the Model Context Protocol to provide AI assistants with comprehensive data for domain analysis, keyword research, and competitor tracking. It enables users to perform complex SEO tasks like backlink analysis and site audits through natural language interfaces.

Enables AI assistants to discover, evaluate, and execute DeFi yield strategies across EVM and Solana chains through natural conversation, with transactions signed locally.