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Run automated audits for SEO, performance, accessibility, security, and AI search readiness.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "seo-gaca-mcp" yet — see the docs or source repo.
Run a full audit for https://example.com, focusing on technical SEO, Lighthouse performance, mobile experience, Core Web Vitals, and accessibility issues, then prioritize fixes by severity.
A structured audit report with SEO issues, performance metrics, accessibility gaps, and prioritized fixes.
Analyze https://example.com/blog/ai-guide for visibility in AI search and traditional search, evaluating content structure, entity coverage, FAQs, heading hierarchy, and summary quality, then suggest improvements.
A content optimization checklist showing what affects search visibility and actionable rewrite recommendations.
Audit https://example.com for security configuration and user experience, checking HTTPS, common security headers, page usability, navigation clarity, form experience, and accessibility compliance, then list high-risk issues.
A security and UX risk summary with issue descriptions, impact scope, and recommended remediation directions.
Connect GSC, Bing, and GA4 for analytics, health checks, and SEO insights.
Query Google Search Console data, inspect URLs, and manage sitemaps in natural language.
Analyze SEO, GEO, and AI visibility data directly from chat.
Analyze SEO performance, content decay, and CTR opportunities from Search Console data.
Connect AI to SEO analytics platforms for natural-language performance insights.
Analyze GSC data to detect cannibalization and track rank changes.