When AI agents do the research: Building smarter SEO workflows with the Semrush API & MCP

AI agents for real marketing workflows, powered by Semrush data.

• Synopsis

  Most SEO tools were built for a web that no longer exists. Google has been semantic for 14 years. Now agentic AI systems retrieve, rerank, and evaluate content across multi-step pipelines before surfacing an answer. Yet the software most practitioners use is still largely lexical, still built around PageRank approximations, still optimized for a search landscape that is undergoing a technological revolution.
  
  This session tells the story of how Michael King, Founder and Chief Relevance Engineer at iPullRank, built the Search Telemetry Project: an open-source crawler that derives over 14,000 features per URL, including approximations of Google's own internal quality signals from the Content Warehouse API leak, powered in part by the Semrush API and MCP.
  
  Real architecture, workflows, and implementation details from the expert who built and deployed it in production.
  

• Leave knowing how to:

  • Use the Semrush MCP as a data backbone for next-generation agentic workflows
  • Identify specific signals accessible programmatically that no dashboard delivers
  • Optimize content for interpretation rather than indexing
  • Decode the architecture behind iPullRank's Search Telemetry Project and how Semrush APIs power it
  • Apply the blueprint: semantic drift detection, link graph pruning, content-to-keyword vector alignment
  • Build what comes next and stay ahead in AI-driven search
    

• Take it from the expert

  Michael King is Founder and CEO of iPullRank, a leading digital marketing agency known for advanced SEO, data science, and machine learning applications in marketing. He’s a recognized authority in technical SEO and AI-driven marketing strategy, frequently speaking at global conferences and advising enterprise brands on search, analytics, and automation.