How brands can prepare for the Direct-to-Agent era of AI discovery
episode
Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast
40 min
2 speakers
7 chapters
transcribed 1 month ago
Transcript
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Transcript generated automatically by AI and may contain errors.
What is the main topic discussed in this episode?
The Voices of Search Podcast is a proud member of the I Hear Everything Podcast Network. Looking to launch or scale your podcast? I Hear Everything delivers podcast production, growth, and monetization solutions that transform your words into profit. Ready to give your brand a voice? Then visit IHear Everything.com. Welcome to the Voices of Search Podcast, a member of the I Hear Everything Podcast Network. Ready to expedite your company's organic growth efforts? Sit back, relax, and get ready for your daily dose of search engine optimization wisdom. Here's today's host of the Voices of Search Podcast, Tyson Stockton.
ChatGPT alone processes more than 2.5 billion prompts a day, including 330 million from the US alone. But those billions of prompts aren't just replacements to old searches, they're the start of a new discovery model where agents are making decisions for users. Optimizing for in consumers isn't enough anymore. Your brand needs to show up when AI agents are shopping, and that's just the beginning. My name's Tyson, and joining me today is Brian Stempek, co-founder and CEO at Evertrune. His team runs over 1.2 million AI prompts monthly for Fortune 500 clients, so he knows everything there is about how to stay visible in AI search. Today, Brian and I are gonna be walking through Through how to influence AI agents and not just users, and why brands mastering generative engine optimization will dominate the next era of search.
So with that, Brian, welcome to the podcast.
Thanks for having me, Tyson. Glad to be here.
I'm excited to hear a bit more about, you know, some of the findings you have, because you have access to, I think, a wealth of knowledge as far as how brands are looking at prompts, what are the trends within those. So maybe just to kind of set the stage, tell us a little bit about kind of like the data sets you're working with and how you're looking at performance. In generative AI.
Yeah, for sure. So at Evertune, we're trying to help large global brands and agencies figure out what's happening in AI search. So our starting point is understanding what are consumers doing. So I think we've all seen in our own behavior and others, people are moving quickly to use Chat GPT, they're using Gemini and Google, sometimes they're using Meta's tools instead of Instagram or WhatsApp, they're using Perplexity. It's a whole range of AI models. models that they're not searching on. So step one is understanding like the patterns of how many people are now using those types of tools and then look at the types of things they're searching for. So we actually have a big data set of twenty-five million panelists.
So we can see what are people searching for in real life. And how is what they use AI for? How's that different from how they might use Google search? So, easy example in traditional Google search, average keyword length that somebody enters into Google is three, four words. They're spending 10 seconds on Google and they're clicking somewhere else, whether it's an organic web blank or a paid search ad. In AI, it's different. So average prompt length is more like 20 to 25 words. So the average person is giving more context. And you're shopping for a coffee maker, you're telling them what kind of coffee you like, whether you want an espresso machine, how big your kitchen is, you're giving additional detail because you know you're gonna get a longer response.
And so you get a longer response where the AI model summarizes: here's some good coffee makers or espresso makers for you, here are a few options, here's the strengths and weaknesses of each one. And on average, people are spending six or seven minutes in AI. So it's a very different experience.
What is the impact of AI agents processing billions of daily prompts on brand discovery?
from traditional search engines where it's less of about quick navigation and getting to where you're going. Now it's more about give context, give detail. Because I'm gonna get detail in return. I can ask follow-up questions. And so one general trend we're seeing is that the considerations cycle or purchase funnel is shortening.
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Chapters
7 chapters
1
What is the main topic discussed in this episode?
0:00–3:38
2
What is the impact of AI agents processing billions of daily prompts on brand discovery?
3:38–8:34
3
How do brands establish a baseline across geographies, personas, and product lines for AI recommendation patterns?
8:34–16:28
4
What are the two optimization tracks (core model vs. search‑enhanced) and how do they differ for brands?
16:28–24:44
5
Why is detailed product‑spec content more important than traditional consumer‑focused messaging for AI agents?
24:44–33:10
6
How can brands use large‑scale prompt data to map AI recommendation heat‑maps and identify strengths/weaknesses?
33:10–37:53
7
Which content sources (Reddit, YouTube, review sites, licensed data) most influence AI model recommendations?
37:53–40:17