<description>&lt;p&gt;John Lovett has seen every chapter of digital analytics from the inside. He started as a marketer curious about how messages reach people, moved through analyst roles at Jupiter Research and Forrester, co-founded Web Analytics Demystified with Eric Peterson, served as president of the Digital Analytics Association during the pivotal renaming from &amp;#8220;web&amp;#8221; to &amp;#8220;digital&amp;#8221; analytics, and is now VP of Analytics &amp;#38; Insights at Seer Interactive, where he&amp;#8217;s building AI into every layer of the analytics practice.&lt;/p&gt; &lt;p&gt;In this episode, John and I dig into what actually makes an analyst an AI analyst &amp;#8211; and his answer surprised me. It&amp;#8217;s less about new skills and more about bringing AI into the curiosity and critical thinking that always made someone a good analyst in the first place. He walks us through how Seer identified 15 core deliverables and systematically disrupted each one with AI, creating a team that starts every task with an agent rather than a blank template.&lt;/p&gt; &lt;p&gt;We then dive deep into agentic commerce &amp;#8211; the emerging reality of AI agents that browse, compare, and buy on behalf of consumers. John shares what Seer is learning about distinguishing human from bot traffic (spoiler: humans do &amp;#8220;clicky clicky scrolly scrolly,&amp;#8221; agents do surgical strikes), why log file analysis is making a comeback, and his hypothesis on which product categories will see agentic purchasing first.&lt;/p&gt; &lt;p&gt;Finally, John walks us through his groundbreaking GEO research using the 2026 Winter Olympics as a case study &amp;#8211; running 5,000 prompts across every major LLM to understand how models find, trust, and cite brands. The results reveal a fascinating divide between models that search the web and those that hit what he calls &amp;#8220;the binary cliff.&amp;#8221; Plus, we talk about his new book, The New Big Book of KPIs, and why the best time to start with AI would have been yesterday &amp;#8211; but the next best time is today.&lt;/p&gt; &lt;p&gt;All episodes on our website: &lt;a href="https://ask-y.ai/knowledge-distillation-podcast/?utm_source=podcast&amp;#38;utm_medium=episode_description&amp;#38;utm_campaign=podcast"&gt;www.ask-y.ai/knowledge-distillation-podcast&lt;/a&gt;&lt;/p&gt; &lt;p&gt;Learn more about ASK-Y: &lt;a href="https://ask-y.ai/?utm_source=podcast&amp;#38;utm_medium=episode_description&amp;#38;utm_campaign=podcast"&gt;www.ask-y.ai&lt;/a&gt;&lt;/p&gt;</description>

Knowledge Distillation Podcast

ASK-Y

15# John Lovett (Seer Interactive, Web Analytics Demystified, Digital Analytics Association, Forrester, Jupiter Research) on What Makes an Analyst an AI Analyst, Detecting Agentic Browsers in Your Traffic, and What 5,000 Olympic Prompts Reveal About How LLMs Think

APR 10, 202661 MIN
Knowledge Distillation Podcast

15# John Lovett (Seer Interactive, Web Analytics Demystified, Digital Analytics Association, Forrester, Jupiter Research) on What Makes an Analyst an AI Analyst, Detecting Agentic Browsers in Your Traffic, and What 5,000 Olympic Prompts Reveal About How LLMs Think

APR 10, 202661 MIN

Description

<p>John Lovett has seen every chapter of digital analytics from the inside. He started as a marketer curious about how messages reach people, moved through analyst roles at Jupiter Research and Forrester, co-founded Web Analytics Demystified with Eric Peterson, served as president of the Digital Analytics Association during the pivotal renaming from &#8220;web&#8221; to &#8220;digital&#8221; analytics, and is now VP of Analytics &#38; Insights at Seer Interactive, where he&#8217;s building AI into every layer of the analytics practice.</p> <p>In this episode, John and I dig into what actually makes an analyst an AI analyst &#8211; and his answer surprised me. It&#8217;s less about new skills and more about bringing AI into the curiosity and critical thinking that always made someone a good analyst in the first place. He walks us through how Seer identified 15 core deliverables and systematically disrupted each one with AI, creating a team that starts every task with an agent rather than a blank template.</p> <p>We then dive deep into agentic commerce &#8211; the emerging reality of AI agents that browse, compare, and buy on behalf of consumers. John shares what Seer is learning about distinguishing human from bot traffic (spoiler: humans do &#8220;clicky clicky scrolly scrolly,&#8221; agents do surgical strikes), why log file analysis is making a comeback, and his hypothesis on which product categories will see agentic purchasing first.</p> <p>Finally, John walks us through his groundbreaking GEO research using the 2026 Winter Olympics as a case study &#8211; running 5,000 prompts across every major LLM to understand how models find, trust, and cite brands. The results reveal a fascinating divide between models that search the web and those that hit what he calls &#8220;the binary cliff.&#8221; Plus, we talk about his new book, The New Big Book of KPIs, and why the best time to start with AI would have been yesterday &#8211; but the next best time is today.</p> <p>All episodes on our website: <a href="https://ask-y.ai/knowledge-distillation-podcast/?utm_source=podcast&#38;utm_medium=episode_description&#38;utm_campaign=podcast">www.ask-y.ai/knowledge-distillation-podcast</a></p> <p>Learn more about ASK-Y: <a href="https://ask-y.ai/?utm_source=podcast&#38;utm_medium=episode_description&#38;utm_campaign=podcast">www.ask-y.ai</a></p>