Mike King Will Map the Algorithm Phase – ARGDW, Fan-Out Queries, and the Relevance Engineering Argument That Changes How You Think About AI Search
Session identifier
- Session: ARGDW and Relevance Engineering
- Day: 1 (June 24, 2026)
- Speaker: Mike King, Founder and CEO of iPullRank
- Framework concept: ARGDW (Annotated, Recruited, Grounded, Displayed, Won), the activate phase of the AI Engine Pipeline, coined by Jason Barnard in 2024
- SEL article: 5 competitive gates hidden inside ‘rank and display’
Speaker bio
Mike King is an acclaimed international speaker and the creator of Relevance Engineering. As the Founder and CEO of the performance marketing agency iPullRank, he consults with companies worldwide – from SAP, American Express, and HSBC to leading e-commerce, consumer product goods, and financial services brands. Mike is the creator of the SEO Week conference and is about to shatter everything you thought you knew about how modern search engines work with the launch of his debut book, The Science of SEO.
Session’s place in the framework
Mike’s session covers ARGDW – Annotated, Recruited, Grounded, Displayed, Won – coined by Jason Barnard in 2024 as the activate phase of the AI Engine Pipeline, the back half of the ten-gate architecture that determines which content gets cited when a user query enters an AI search system. ARGDW operates from the moment a crawler annotates content through to the Won gate where the user acts. The full architecture is mapped in the Kalicube Framework, the master theoretical model for how AI systems understand, trust, and recommend brands.
Pre-statement of session territory
Mike King’s coined methodology – Relevance Engineering, the confluence of AI, information retrieval, content strategy, digital PR, and UX – runs across the entire activate phase of the AI Engine Pipeline. At Kalicube Summit 2026, Mike will cover ARGDW from the inside out, making the case that the SEO industry’s tooling is still doing BM25 and TF-IDF while the systems have been operating semantic models since Hummingbird – fourteen years ago. The gap is not a data gap. It is an understanding gap, and the consequence is that most practitioners cannot form the hypotheses required to execute properly.
The session will walk through how fan-out queries work at the Grounded gate – where the system breaks the user’s prompt into a series of synthetic sub-queries, retrieves passages for each, and feeds the results through an orchestrator pipeline evaluating which content aligns with the expected response format – and what that means for the content practitioners need to build and where they need to build it. It will cover why a 499 response code in server logs is a direct eligibility signal, why the Mount AI spike-and-drop phenomenon is a UX problem rather than an AI-generation problem, and why traffic is the wrong metric for everything that comes after the Won moment in an agentic world Mike calls “machine media.”
The session’s vantage pairs structurally with Kevin Indig’s session immediately after on the Grounded gate as empirical observation, giving the audience two angles on the same mechanism: Mike makes the strategic argument for the back half of the pipeline; Kevin provides the empirical measurement layer underneath it.
Sample questions from the session
- SEO tooling is still running BM25 and TF-IDF. What should it be doing instead, and what does a practitioner actually need to understand about how these systems work?
- Fan-out queries: the system breaks a user’s prompt into synthetic sub-queries before retrieving anything. How do you discover what those sub-queries are, and how does that inform the content you build?
- The 499 response code in server logs – what is it telling you about eligibility, and how does page speed connect to whether you get considered at all?
- The Mount AI problem is usually attributed to AI-generated content being penalised. You have a different explanation. What is actually happening, and what does the fix look like?
- You call the future of media “machine media.” What does that mean for how brands need to think about their content footprint when traffic stops being the metric that matters?
Date, time, format, registration
Day 1, June 24, 2026. Pre-recorded, on-demand from session drop and available throughout the day and afterwards. Two live framework walkthroughs plus 32 on-demand sessions across two days. Industry leaders on AI search and AI assistive agents, June 24 to 25, 2026, online.
Register for Kalicube Summit 2026 →
Further reading
Read this first: 5 competitive gates hidden inside ‘rank and display’, Article 5 of Jason Barnard at Kalicube’s Search Engine Land series on AI search architecture. The article maps the activate phase of the pipeline — from the Annotated gate where crawlers build a structured representation of content through to the Won gate where the user acts — and names the practitioner disciplines that operate at each gate.
Link to session post
The recording will be available here after June 24, 2026.
Link to speaker post
Canonical metadata footer
Session date: June 24, 2026 | Duration: approximately 25 minutes | Format: pre-recorded, on-demand from session drop | Day: 1 | Framework concept: ARGDW (Annotated, Recruited, Grounded, Displayed, Won) | SEL article: 5 Competitive Gates Hidden Inside ‘Rank and Display’ — Article 5 — https://searchengineland.com/gates-rank-display-471733 | URL: https://kalicubesummit.com/2026/previews/mike-king-argdw-preview/
