▶  ai search · S5E119 · · May 18, 2026

“The Funnel Got Eaten by LLMs” – Aimee Jurenka on Measuring AI Visibility

Guest: Aimee Jurenka, Ecosystem Wide GEO Manager at Okta
Hosts: Jon Clark & Joe DeVita

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about the episode

Aimee Jurenka breaks down how SEO is evolving in the age of AI search. From topic entities and semantic signals to prompt tracking pitfalls and brand visibility measurement, this conversation reveals what marketers need to rethink now. Stay through the final minutes for Aimee’s practical take on where AI visibility is headed and how SEOs can prepare without chasing every shiny new tool. In this episode of the Page 2 Podcast, Jon Clark and Joe DeVita sit down with Aimee Jurenka, SEO and AI Visibility Strategist at Rickety Roo and founder of seo SUSTAINABLE, to unpack what SEO looks like as AI search, LLMs, and answer engine optimization reshape brand discovery. Aimee explains why modern SEO strategy is moving beyond traditional keyword targeting and toward topic entities, semantic associations, brand positioning, and what a company wants to be known for. She shares how marketers can measure brand visibility inside LLMs, why one-off prompt tracking can be misleading, and how SEOs can use competitor comparisons, branded queries, and content gaps to improve visibility across AI-driven search experiences.

In This Episode

  • Why keyword research is becoming fuel for broader topic entity strategy
  • How to think about what your brand wants to be known for in AI search
  • The difference between what LLMs know about your brand and what they associate you with
  • Why single-shot prompt tracking can create unreliable visibility data
  • How branded search, mention rate, and competitive context help measure AI visibility
  • The role of semantic triplets in clarifying brand identity and positioning
  • Why side-by-side comparison content can outperform generic listicles
  • How small businesses can learn from larger competitors without copying them
  • What SEOs should understand about AI crawlers, bots, and technical accessibility
  • How tools like ChatGPT, Gemini, Claude, Perplexity, NotebookLM, and Screaming Frog fit into AI visibility workflows

This episode is packed with practical insights for SEOs, content strategists, and marketers who want to build stronger brand visibility across both traditional search and emerging AI answer engines.

Connect with Aimee Jurenka

Aimees Website
Aimee on LinkedIn

Chapters

  • 0:00

    Introduction to AI and AEO Strategies

  • 2:04

    Researching Keywords and Entities

  • 5:02

    Understanding Brand Visibility and Competitor Analysis

  • 9:46

    Shifting from Traffic to AI Visibility

  • 15:03

    Measuring Success in AI Search

  • 19:54

    Developing a Mention Rate Tool

  • 25:11

    Log File Analysis and Future Strategies

  • 30:06

    Exploring Content Opportunities and AI’s Role

  • 32:01

    The Evolution of AI in Content Strategy

  • 34:09

    Automating SEO Processes with AI Tools

  • 36:35

    Understanding Query Fan Out and AI Needs

  • 39:42

    The Shift Towards Local SEO Strategies

  • 43:47

    Adapting to Client Needs in Local SEO

  • 46:51

    The Importance of Specificity in Local SEO

Resources mentioned