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Designing AI Search Metrics

For Experimentation

Join Patrick Schofield (Lead Relevance Engineer) and Garrett Sussman (Director of Marketing) for a one-hour webinar on how to approach AI Search with an experimental mindset. This session focuses on how to design content and semantic metrics, use them to surface insights, and turn those insights into structured experiments.

The discussion is grounded in an internal iPullRank case study analyzing large-scale content patterns across different query types. The goal is to show how measurement choices influence what you learn and how those learnings translate into action.

REGISTER

WHEN:

Friday, February 13th 12:00 PM ET

WHO

Patrick Schofield, Lead Relevance Engineer, iPullRank

Garrett Sussman

Garrett Sussman, Marketing Director, iPullRank

What You Can Expect:

You will see how specific content signals behave differently across head, mid-tail, and long-tail queries, and how those differences inform experimentation. The session walks through how metrics are defined, how patterns are identified, and how those patterns become testable hypotheses.

Examples focus on content structure, entity focus, and conceptual depth, with emphasis on how teams can adapt templates and guidance based on query type.

Key Topics

  • Designing AI Search metrics that reflect how systems interpret content

  • Interpreting metric behavior by query type and intent

  • Identifying content patterns worth testing

  • Translating insights into controlled experiments

  • Applying findings to content templates and editorial strategy

What You'll Learn

  • How to define AI Search metrics that support experimentation

  • How to analyze metric output to identify actionable patterns

  • How to frame hypotheses based on observed behavior

  • How to design experiments around content structure and focus

  • How to create feedback loops between measurement and execution

Who Is This Webinar For?

  • SEO strategists and relevance engineers

  • Content leaders managing large editorial systems

  • Enterprise teams building AI Search measurement frameworks

  • Agencies running structured SEO and content experiments

Register
Now

Meet the experts

Patrick Schofield

Lead Relevance Engineer | iPullRank

Patrick Schofield brings over 8 years of SEO experience to iPullRank, with a deep focus on technical strategy, automation, and relevance optimization. Prior to joining the team, he led SEO strategy for B2B SaaS, media, and industrial brands, helping them scale performance and gain visibility in LLMs. As Lead Relevance Engineer, Patrick develops solutions that align organic strategy with evolving search behavior and AI-powered discovery.

Garrett Sussman

Garrett Sussman

Director of Marketing | iPullRank

Garrett Sussman has worked in marketing for over fourteen years across a number of disciplines, including content marketing, demand generation, affiliate marketing, and SEO. Garrett previously led marketing at online review SaaS startup Grade.us (acquired by Traject in 2019). He’s hosted 2 podcasts and recorded over 150 podcast episodes.

FAQ

How do I join the webinar?

A link will be emailed upon registration.


How long is the webinar?

Approximately 60 minutes, including the Q&A session.


Will the panel be webinar?

Yes, a recording will be emailed to registered participants.

Catch our previous webinars

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Local Visibility in AI Search: Findings from 6.8M Citations | iPullRank Webinar 

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Everything You Should Know About Query Fan Out | iPullRank Conference Deck

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12.4.25

AI Search to Sale: What the Data Reveals About AI Search Ecommerce Behavior | iPullRank Webinar 

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How to Win Visibility in AI Search: The AI Search Manual Walkthrough | iPullRank Webinar 

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//.eBook

The AI Search Manual

The AI Search Manual is your operating manual for being seen in the next iteration of Organic Search where answers are generated, not linked.

SEARCH HAS CHANGED.

Here’s the Playbook.

The AI Search Manual explains how search is changing and what to do about it. It covers the rise of conversational search platforms, the mechanics behind Generative Engine Optimization (GEO), and how Relevance Engineering helps you stay visible when traditional SEO falls short. If you want to understand where AI Search is headed and how to show up in it, this guide lays it all out.

Read the Manual

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iPullRank is a pioneering content marketing and enterprise SEO agency leading the way in Relevance Engineering, Audience-Focused SEO, and Content Strategy. People-first in our approach, we’ve delivered $4B+ in organic search results for our clients.

© 2025 iPullRank

[WEBINAR]

Designing AI Search Metrics

For Experimentation

FRIDAY, FEBRUARY 13th, 2026 12:00 PM ET

Join Patrick Schofield and Garrett Sussman for a one-hour webinar on how to approach AI Search with an experimental mindset. This session focuses on how to design content and semantic metrics, use them to surface insights, and turn those insights into structured experiments.

 

Let’s Talk