iPullRank
Updated 2026-06-28iPullRank is Mike King's New York technical-SEO agency, now built around AI search and his Relevance Engineering framework. Recent work: the AI Search Strategic Roadmap service, click-to-citation measurement metrics, and the open-source Qforia query-fan-out tool.
Three scores, refreshed weekly from live market signals rather than a once-a-year analyst report. Presence is how established a vendor is in the market right now. Velocity is how fast they are shipping, raising, and winning customers. Agent Readiness is how easily your own agents can build on them through an API, MCP server, SDK, or CLI. Scores are relative across the vendors we track; the raw inputs ship in the downloadable dataset.
The Solution & Approach
iPullRank is Mike King's technical-SEO agency, repositioned around AI search. Its organizing frame is Relevance Engineering, King's reframing of SEO as an engineering discipline of semantic relevance to retrieval systems rather than keyword mapping.
The agency builds the category through publishing rather than product. It released the AI Search Manual, a 24-chapter public guide it calls the official documentation for Relevance Engineering, open-sourced the Qforia query-fan-out tool, and runs its own primary research, including the 2024 Google Search API leak analysis and a Gmail-as-AI-search-signal experiment. Named services include the AI Search Strategic Roadmap and a From Clicks to Citations measurement framework.
iPullRank sits in the 'reset' camp of the AEO debate. King argues that traditional rank-tracking is obsolete, that single-shot RAG has given way to agentic retrieval, and that content must survive multiple gatekeepers to be cited. The agency hosts the annual SEO Week conference in New York, and King was named Search Engine Land's AI Search Marketer of the Year in 2025.
Best for
Enterprises and brands that want a technical-SEO agency to engineer their AI-search visibility through Relevance Engineering audits and the AI Search Strategic Roadmap, backed by original research.
Pricing & trial
Pricing not public; iPullRank is a services-led agency with engagements like the AI Search Strategic Roadmap rather than self-serve software.
Agent Experience
How you build on this platform (or wire it into your own agents):
| Surface | Available | Docs |
|---|---|---|
| API | No | — |
| MCP | No | — |
| SDK | No | — |
| CLI | No | — |
| llms.txt | No | — |
Not a build-on platform; iPullRank is a services agency, though it open-sourced Qforia, a Gemini-powered query fan-out tool, on GitHub.
Recent moves
- 2026-06-12Published its SEO Week 2026 Day 4 recap covering answer engine optimization, the 'validation layer' concept, and 'Earned Architecture' framing third-party validation over owned content. source
- 2026-06-11Published 'AI Security and Safety: A Wake-Up Call to Marketers,' an educational piece on AI security threats and mitigation strategies. source
- 2026-06-04Published 'Wikipedia at 25,' arguing Wikipedia presence is a critical AI-search visibility lever and introducing a seven-step framework. source
- 2026-05-28Published 'Is AI Visibility Ushering in a Golden Era of Digital Content?', naming 'agentic chunking' as a methodology for AI retrieval. source
- 2026-05-26Mike King published 'Machine Media: The Death of the Open Web,' citing 187% AI bot traffic growth in 2025 and positioning Relevance Engineering as the required operating layer. source
- 2026-05-21Published original research showing Gmail seeding raised brand visibility in Google's AI Mode from 23.9% to 66.8% versus control. source
Company, Financials & Funding History
iPullRank is the technical-SEO agency of founder Mike King, based in New York. King introduced the Relevance Engineering framework at SMX Advanced and SEO Week in 2025, and was named Search Engine Land's AI Search Marketer of the Year in 2025, his second such recognition.
Analyst placement
Search Engine Land named founder Mike King its 2025 AI Search Marketer of the Year, his second such recognition, citing SEO Week, the Relevance Engineering framework, the AI Search Manual, and Qforia. source