Analyze per-URL SEO performance and recommend refresh, merge, expand, or removal.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "SEO Performance MCP" MCP server from askskill: Run: claude mcp add 'io-github-automatelab-tech-seo-performance-mcp' -- npx -y @automatelab/seo-performance-mcp
Using per-URL data from GSC, GA4, Matomo, Clarity, and AI citations, identify URLs with declining traffic over the last 90 days but still showing search demand. Classify them as refresh now, monitor, or no action, and explain why.
A prioritized list of URLs with recommended actions and the reasoning for each decision.
Analyze keyword overlap, traffic performance, and user behavior across related site content. Find URLs with cannibalization or topic duplication, and recommend which pages should be merged, including the primary page and pages to consolidate.
A content consolidation recommendation list showing overlapping pages, primary targets, and the rationale for merging.
Find URLs with long-term zero organic traffic, no conversions, poor engagement, and no clear brand or backlink value. Determine which pages should be removed or redirected, and explain the risks.
A report of pages recommended for removal or redirection, including risks and execution guidance.
Analyze SEO performance, content decay, and CTR opportunities from Search Console data.
Analyze SEO, GEO, and AI visibility data directly from chat.
Run automated audits for SEO, performance, accessibility, security, and AI search readiness.
Analyze GSC data to detect cannibalization and track rank changes.
Connect AI to SEO analytics platforms for natural-language performance insights.
Query search and analytics data to diagnose SEO issues and growth opportunities.