Biggest shock about how LLMs rank content
episode
Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast
5 min
2 speakers
6 chapters
transcribed 1 month ago
Transcript
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Transcript generated automatically by AI and may contain errors.
What is the core premise of the episode and who is the guest?
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, Jordan Cooney.
I'm Jordan Coon.
Why does Will Critchlow say the biggest shock about LLMs is that they actually work?
And joining me is Will Critchlow, CEO at SearchPilot. Search Pilot is the leading SEO A B testing platform for enterprise sites. And they just launched the industry's first GEO testing system, purpose built for AI search. You know, you've been in this industry for for two decades now, and you've seen a lot of things that that have changed. Um, what's the most shocking thing that you've seen as it pertains to LLM and ranking content?
I'm gonna actually just say the the most shocking thing is that it works at all. Um I have uh my background, my academic background was in um math and statistics and I studied neural networks before they were cool. Um when they didn't work famously. Yeah. They famously were a dead end.
How did early neural networks evolve into the powerful LLMs we see today?
And then it was only when you threw like billions and billions and billions of uh you know data points and CPUs and GPUs and all this other stuff that suddenly suddenly Only gradient descent worked. So I I'm just mind blown that we're we're getting anything that resembles intelligence out of uh out of this nonsense.
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And do you think that these uh more maybe more more eloquently said, these LLM responses, not necessarily rankings, um, do you think that these LLM responses are gonna become more um opinionated, more broad sweeping, or are they gonna become more and more narrow focused and more and more specific in their nature over over time?
Will LLM responses become more opinionated or more focused like traditional search results?
I'm gonna take a specific version of that question, which is around product. s right, when you're looking for a thing to buy. Yeah. Yeah. I think in that specific Ніж Actually we're gonna see them look more like search results. I think we're gonna see more links. I think we're gonna see more uh you know, read more about and those links maybe to sub conversations or uh you know, expanded information.
How can marketers apply testing‑first methodologies to prove SEO value with AI?
But I think that as humans, when we're researching particularly big ticket purchases or uh things that are important to us, we're gonna want that information ourselves. And what these things are going to provide us is a fast route to those to that information and summarizing and and so forth rather than uh rather than abstracting that all the way and saying, Hey, I bought you one.
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Chapters
6 chapters
1
What is the core premise of the episode and who is the guest?
0:00–0:46
2
Why does Will Critchlow say the biggest shock about LLMs is that they actually work?
0:46–1:36
3
How did early neural networks evolve into the powerful LLMs we see today?
1:36–2:26
4
What does the sponsor Previsible recommend for SEO teams in an AI‑driven world?
2:26–3:48
5
Will LLM responses become more opinionated or more focused like traditional search results?
3:48–4:16
6
How can marketers apply testing‑first methodologies to prove SEO value with AI?
4:16–5:12