Let’s Talk

Your Inbox Might Be

The Next AI Search Signal

Join Garrett Sussman (Director of Marketing), Michael Tandoh (SEO Engineer), and Cate Dombrowski (Associate BI Analyst) for a one-hour webinar on how Google’s Personal Intelligence points to a more hyper-personalized version of AI Search.

We’ll break down iPullRank’s controlled study testing whether connected personal context from Gmail and Google Photos can influence which brands AI Mode recommends. Across 1,922 AI Mode responses, seeded brands in a Personal Intelligence-connected account saw statistically significant visibility lift compared with a non-connected control account.

The bigger issue for marketers and SEOs: AI Search visibility is becoming shaped by more than public rankings. Brand recommendations may change based on prompt framing, category, citations, personal history, and connected data points. That creates opportunity, but it makes measurement and strategy far more complex.

REGISTER

WHEN:

Thursday, June 11th 1:00 PM ET

WHO:

Garrett Sussman

Garrett Sussman, Marketing Director, iPullRank

Michael Tandoh, SEO Engineer, iPullRank

Cate Dombrowski, Associate BI Analyst, iPullRank

What You Can Expect:

What You Can Expect:

You will see how Google’s Personal Intelligence-connected AI Mode behaved after brand signals were seeded into Gmail and Google Photos. The session walks through the study design, the strongest findings, and what they mean for marketers and SEOs preparing for a more personalized search experience.

Examples focus on implicit context, prompt framing, brand recommendations, citation behavior, and category-level differences. The goal is to show why AI Search strategy can’t sit inside one team, one channel, or one measurement model.

Key Topics

  • How Personal Intelligence changes the AI Search measurement problem
  • What happened when brand signals were added to connected Google data sources
  • Why implicit user context may shape AI Mode recommendations
  • How prompt framing changes brand visibility
  • Why personalization makes search more powerful and harder to measure
  • How C-suite marketers and SEO leaders should think about integrated teams
  • Why brands need alignment across SEO, content, PR, analytics, lifecycle, and product data

What You'll Learn

  • How iPullRank designed a controlled study around AI Mode and Personal Intelligence
  • How seeded brands performed against a non-connected control account
  • Why AI Search visibility may vary by user, prompt, category, and context
  • How connected data points can create a more personalized recommendation set
  • Why public web visibility still matters when AI Search becomes more personal
  • How to build a more integrated approach to AI Search strategy and measurement

Who Is This Webinar For?

  • CMOs and marketing executives planning for AI Search
  • SEO leaders responsible for visibility across AI-driven search experiences
  • Content leaders managing enterprise editorial strategy
  • Analytics and measurement teams tracking AI Search performance
  • Brand and communications leaders focused on authority and category visibility
  • Enterprise teams trying to break down silos across search, content, brand, and data

Register
Now

Meet the experts

Garrett Sussman

Garrett Sussman

Director of Marketing | iPullRank

Garrett Sussman is the Director of Marketing at iPullRank, where he leads marketing strategy across AI Search, enterprise SEO, Relevance Engineering, content strategy, events, and thought leadership.

He has written for Search Engine Land and Moz, and was a speaker at SEO Week, where his work focused on the psychology of SEO, conversational search, cognitive bias, and hyper-personalization. Garrett regularly hosts and contributes to iPullRank’s webinars, research, and video programming, helping marketers understand how AI systems retrieve, cite, and recommend brands.

Michael Tandoh

SEO Engineer | iPullRank

Michael Tandoh is a results-driven, data-focused SEO Engineer with expertise in statistical methodologies, including regression analysis, logistic regression, and time series analysis. Proficient in Python, R, and SQL, he is skilled in using Tableau and Looker Studio for data visualization.

He has experience analyzing search performance data to uncover insights, identify opportunities, and inform strategic recommendations that drive measurable results. Adept at automating reporting tools, performing market analysis, and driving performance strategies, Michael is a strong collaborator who works effectively across technical and non-technical teams to achieve business goals in fast-paced environments.

Cate Dombrowski

Associate BI Analyst | iPullRank

Cate Dombrowski is an Associate Business Intelligence Analyst specializing in AI search research, experimentation, and data storytelling. Her work focuses on how personalization and large language models are reshaping search visibility and user behavior.

She combines statistical analysis, survey research, and cross-platform data to turn complex findings into actionable insights, usually driven by a hypothesis she’s determined to prove right (or at least investigate until the data humbles her). She’s especially interested in the psychology behind how people search, trust, and interact with AI-generated information.

At iPullRank, she contributes to research on the future of AI-driven discovery and search. Outside of work, she enjoys yoga, trying new restaurants, and reading in Central Park.

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

//.recent_webinars

Your Inbox Might Be the Next AI Search Signal | iPullRank Webinar 

by Garrett Sussman

06.11.26

Designing AI Search Metrics for Experimentation | iPullRank Webinar 

by Garrett Sussman

02.13.26

Everything You Need to Know About the Query Fan-Out | iPullRank Webinar 

by Garrett Sussman

01.16.26

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

by Garrett Sussman

12.10.25

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

by Garrett Sussman

12.4.25

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

by Garrett Sussman

11.6.25

//.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]

Your Inbox Might Be

For Experimentation

THURSDAY, JUNE 11th, 2026 1:00 PM ET

Join Garrett Sussman (Director of Marketing), Michael Tandoh (SEO Engineer) and Cate Dombrowski (Associate BI Analyst) for a one-hour webinar on how Google’s Personal Intelligence points to a more hyper-personalized version of AI Search.

 

Let’s Talk