Improvado's MCP server connects SEMrush data to your AI agent. Query keyword rankings, audit traffic trends, analyze competitor domains, and track backlink growth — all in natural language. Works with Claude, Cursor, and any MCP-compatible tool.
Stop downloading SEMrush reports to get basic answers. Ask your AI agent about organic keyword rankings, competitor traffic estimates, backlink acquisition trends, or site audit issues — and get answers in seconds.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
Set up position tracking projects, configure site audit schedules, and manage keyword lists directly through your AI agent. The SEMrush project management that normally lives buried in menus.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Set AI-powered watches on keyword rankings, competitor traffic shifts, and backlink velocity. Get notified about significant changes before they impact your organic strategy.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Set up position tracking projects, configure site audit schedules, and manage keyword lists directly through your AI agent. The SEMrush project management that normally lives buried in menus.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
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.
Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.
Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.
Organic keyword rankings, estimated traffic metrics, competitor domain analysis, backlink profiles, referring domain data, site audit results, and position tracking history. Essentially all data accessible via the SEMrush API is queryable through the MCP connection.
Yes. The MCP server connects to your SEMrush account and reads your existing position tracking projects, site audit configurations, and keyword campaigns. You can also create and update projects through the MCP connection.
Yes. Improvado's MCP server covers 500+ data sources. You can combine SEMrush organic rankings with Google Ads paid keyword data, Google Search Console impressions, and web analytics in a single query — all through one MCP connection.
Data freshness depends on SEMrush's own update cadence — keyword rankings and traffic estimates update on their standard schedule (typically monthly database updates, with position tracking updating daily). When you query through the MCP server, you're getting the same freshness as if you queried SEMrush's API directly.
Yes, each data pull from SEMrush consumes API units according to your SEMrush plan, just as a direct API call would. Improvado MCP caches results to minimize redundant calls — repeated queries for the same dataset within a session typically do not re-fetch from the source. You can configure cache TTL to balance freshness against credit usage.
SEMrush's native tools are designed for single-platform analysis and manual export workflows. Improvado MCP makes the same data queryable by AI agents alongside data from other platforms — for example, correlating keyword rankings with paid ad spend or CRM pipeline data in one question. This cross-source analysis is not possible within SEMrush's native interface.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.