Experience Networks in the absence of search engine rankings
episode
Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast
3 min
2 speakers
5 chapters
transcribed 1 month ago
Transcript
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Transcript generated automatically by AI and may contain errors.
Why will experience networks become more important if search engines only show AI summaries?
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.
How do peer‑recommended conversations turn into structured data that AI can read?
Here's today's host of the Voices of Search Podcast, Jordan Cooney. Okay, buy or sell. If search engines stopped showing rankings and only delivered AI summaries and responses, would experience networks become more or less important? More important. Ooh.
Yeah, more important. Way more important. Tell me more.
Can experience networks shape the way ChatGPT, Gemini, or Google’s AI respond to travel queries?
Yeah, it's um because now suddenly we are we are locked into the machine and now I am told that like I don't even get to search. Like we said, right? We value some choice. Too much choice is overload. No choice feels restrictive. And so I think if it only gives you the AI summary, then I think experience networks become way more important because I think people draw even harder. back to that feeling of I want to talk to someone across the fence and we use the digital medium that we have to do it.
Oh, absolutely.
What framework does Seeq use to convert unstructured consumer talk into AI‑readable layers?
And do you think that experience networks will be able to influence the way these AI responses are formulated? So, so think about like, you know, I'm looking for this vacation in Mexico with my family, and I'm putting in this massive, you know, prompt to like request all this information about Mexico vacations. Will experience networks now change the way way the ChatGPT or Gemini or AI mode in Google responds.
I believe that if if they're smart, right, they're going to listen because we are essentially turning an unstructured data layer into a structured data layer. And I would imagine now that, yes, like if they don't take note, if they're not offering up sequences in their results when people are asking for trips, I think they will miss the boat. I think they will be forced to. To use sequences in their results for best results.
How should brands position experience‑driven content to influence large‑language‑model results?
Got it. And that wraps up this episode of the Voice of Search Podcast. A huge thank you to John Levesque, CEO of Seek, for joining us. If you'd like to contact John, you can find a link to his LinkedIn profile in our show notes or on thevoicesofsearch.com. You can also visit his website, seekse.ig. If you haven't subscribed yet and would like 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 every week. 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
Why will experience networks become more important if search engines only show AI summaries?
0:00–0:37
2
How do peer‑recommended conversations turn into structured data that AI can read?
0:37–1:02
3
Can experience networks shape the way ChatGPT, Gemini, or Google’s AI respond to travel queries?
1:02–1:34
4
What framework does Seeq use to convert unstructured consumer talk into AI‑readable layers?
1:34–2:35
5
How should brands position experience‑driven content to influence large‑language‑model results?
2:35–3:10