iPullRank
The Relevance Engineering agency, building systems that make enterprise brands the answer in AI Search.
iPullRank is a New York-based enterprise SEO and AI Search agency led by Mike King, two-time Search Engine Land Marketer of the Year (2020, 2025) and creator of the Relevance Engineering framework. The agency has generated $4B+ in organic revenue for clients including American Express, SAP, Nordstrom, Adidas, Target, Warner Music Group, and the Wall Street Journal.
Impact
- Telecom enterprise: 253% growth in AI Overviews visibility (712 → 3,235 inclusions), 1.41M impressions in 12 months
- Enterprise vehicle sales platform: 661% growth in ChatGPT visibility, 2x AI search visibility gains across Google AI Overviews, ChatGPT, and Perplexity
- Global financial services firm: 121% increase in sign-ups over 6 months, 52.6% organic traffic lift, 17x higher conversion on optimized pages
- Major bank: $2.4B in incremental revenue, the bank paused paid ad spend because iPullRank's strategy was outperforming it
- Global eCommerce marketplace: $290M in revenue from AI content on category pages
Why iPullRank
iPullRank's differentiator is intellectual depth. iPullRank's Relevance Engineering framework connects AI, information retrieval, content strategy, digital PR, and user experience into a unified system for influencing how brands are retrieved, understood, and recommended inside AI Search environments. The agency builds proprietary tools (Qforia for query fan-out simulation, Orbitwise for vector-space relevance scoring, Relevance Doctor for content relevance testing) and grounds its methodology in patent analysis, embedding models, and cosine similarity, the same mathematical foundations that power Google's ranking systems.
Best Fit
Enterprise and mid-market brands who need a structured, data-driven transformation from traditional SEO to measurable AI Search presence. Best for organizations with internal marketing teams who need an expert partner to build the strategy, measurement framework, and content architecture.
Case Studies

Telecom Enterprise
A major US telecommunications brand went from 712 to 3,235 AI Overview inclusions in one year (253% growth), earning 1.41M impressions. Strategy: content restructuring for semantic clarity, enhanced technical accessibility, and entity-rich passage creation optimized for AI extraction.

Financial Services
A global financial services organization achieved 121% cumulative increase in sign-ups, 52.6% organic traffic lift, and 17x higher conversion on pages with improved Relevance Scores, proving that semantic alignment directly correlates with high-intent user acquisition and revenue.
Services
AI Search Strategy Program
iPullRank's flagship 6-month engagement for enterprise brands preparing for AI-mediated discovery. Includes Keyword Portfolio Matrix, Omnimedia Content Audit, Omnimedia Content Plan, and AI Search Measurement Plan. The $150K tier adds an AI Search Audit and AI Search Strategic Roadmap.
Marketing Engineering & Technical SEO
Enterprise-grade content and technical optimization grounded in how search engines mathematically evaluate relevance. iPullRank works at the passage level using the same approaches Google uses to score content, then restructures and optimizes to make it extractable by AI systems. This is the work that generated $2.4B for a major bank and $290M for a global eCommerce marketplace.
Generative AI Services
Internal AI transformation for marketing teams, implementing responsible AI content workflows, building RAG-powered content systems, training teams on prompt engineering, and developing custom AI tools for SEO and content operations. This is the consultative layer above campaign execution.
Featured Offerings
Clients
Documents
Media
"Ultimately, I hired Mike's team because of his proven expertise and his results-driven approach. His ability to work well with internal and external partners and integrate his recommendations into existing marketing efforts was very valuable to the team."
Tony CarpentiereSr. Manager of Digital Strategy and Experiences