One word for the current understanding of LLM discovery within enterprises?
episode
Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast
3 min
2 speakers
5 chapters
transcribed 29 days ago
Transcript
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What single word captures the current state of LLM discovery in enterprises?
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Why is early experimentation essential for organizations adopting AI search?
Here's today's host of the Voices of Search Podcast, Jordan Cooney.
All right, next lightning round question. What's the word? What is one word that sums up the current understanding of LLM discovery within enterprises? Early. Okay.
I invite everyone to experiment to learn. Anyone who tells you they've you said it earlier, uh you something like this.
How can companies avoid treating LLM discovery as just a side project?
Anyone who tells you they have it completely figured out is lying. No one does, not even the LLMs themselves. Uh and so there is, should it be strategically important for your business, there's absolutely advantage to be gained by leaning in to our discussion earlier about 88% of sites, top sites not having schema on them. You're not. behind everyone is learning or if you are behind you're not that far behind
Correct.
Uh and there's real opportunity here.
Yeah, I think it's really well said.
What staffing and talent strategies are critical for successful AI‑driven search transformation?
That is a a core reality that we all have to come to, in especially the us knowledge workers and in in the tech space is like we're not behind. We're all figuring it out, like big and small. And I think enterprises right now, there's a huge appetite to just have it right, but there is no perfect, you know, uh plan yet for for LLM discovery.
To your point, I think the the one mistake potentially to avoid is if it's strategically important to your business, have that huge appetite. This is not the this is a major strategic initiative, not a little side project. And I don't know that it requires radically different resourcing, but it should be a real thing on people's radars.
Would
you agree with that?
A hundred percent agree with that.
Where can listeners connect with the guest and learn more about Webflow’s AI frameworks?
Putting the right teams, putting the right talent behind solving these problems is absolutely critical for any enterprise. And I think that's where a lot of them get it get it wrong. Is you know, you just put two people or you hire a big consulting firm, not that there's anything wrong with consulting firms, but that's not the only solution. You have to really integrate your use of AI across the organization. And that's a great place for us to wrap up this episode of the Voices of Search podcast. Huge thank you to Guy from Webflow for joining us. If you'd like to contact Guy, you can find a link to his LinkedIn profile in our show notes or at the voicesofsearch.com. For more information about Webflow, visit webflow.com.
If you haven't subscribed yet and want a daily stream of SEO and content marketing knowledge in your podcast feed, hit the subscribe button in your podcast app or on YouTube, and we'll be back in your feed soon. Okay, that's all for today, but until next time, remember the answers are always in the data.
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Chapters
5 chapters
1
What single word captures the current state of LLM discovery in enterprises?
0:00–0:37
2
Why is early experimentation essential for organizations adopting AI search?
0:37–1:03
3
How can companies avoid treating LLM discovery as just a side project?
1:03–1:30
4
What staffing and talent strategies are critical for successful AI‑driven search transformation?
1:30–2:15
5
Where can listeners connect with the guest and learn more about Webflow’s AI frameworks?
2:15–3:08