Master Your SEMrush Data — Improvado MCP

Finding keyword gaps requires exporting your domain's keywords, exporting a competitor's keywords, loading both into a spreadsheet, deduplicating, filtering by volume and difficulty, and sorting the output. By the time you've done it for 3 competitors, you've lost an afternoon and the data is already aging.

Ask your AI agent to run the gap analysis directly from SEMrush data. It queries your domain and competitor domains simultaneously, identifies keywords they rank for that you don't, and filters by volume and difficulty — in one conversation.

You run a backlink audit once a quarter because it's a 90-minute process: export referring domains, check for toxic scores, cross-reference with disavow file, identify new high-authority links, write the summary. By the time you're done, a month has passed and new links have come in.

Your AI agent pulls the current backlink profile from SEMrush, scores referring domains by authority and spam flag, compares against the previous snapshot, and surfaces net-new high-value links and potential toxic patterns — in minutes.

SEMrush site audits return 200+ issues across technical, on-page, and linking categories. Everyone prioritizes differently. Some engineers fix easy wins, others tackle whatever looks important. There's no systematic scoring that considers both issue severity and traffic impact.

Ask your AI agent to cross-reference SEMrush audit issues with your organic traffic data. It surfaces issues that affect your highest-traffic pages first — crawlability errors on money pages rank above duplicate meta tags on low-traffic posts.