The clearest sign a company is not ready for AI-driven discovery
episode
Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast
4 min
1 speaker
5 chapters
transcribed 1 month ago
Transcript
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Transcript generated automatically by AI and may contain errors.
What metric should I trust over traffic when measuring AI‑driven discoverability?
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 IHearEverything.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.
How can self‑reported attribution help track AI‑generated leads?
I'm Jordan Cooney, and joining me today is Malta Landwehr, CMO and Chief Product Officer at Peak AI. What signal do you trust more than traffic when evaluating AI discoverability?
Self-reported attribution, as I mentioned earlier. Ask your leads, ask your users. It's the best thing I have at the moment.
Great. And you also mentioned earlier the concepts of prompt selection and being mindful of that. Tell me a little bit more about that.
Yeah, so don't over obsess about it.
Why shouldn’t I obsess over exact user prompts in AI search?
You don't need to know word for word what a user typed yesterday because for the next six months, nobody might cite the exact same prompt word for word anyways. And LLMs are very good at understanding context, topic and intent. So just think about a topic
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How do I create diversified prompts that reflect different personas and funnel stages?
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and then write a couple of prompts.
What’s the best way to monitor AI search visibility across multiple topics and prompts?
Use maybe an LLM to help you, like what would somebody who cares about this write to get this answer? If you have customer support tickets, if you have transcripts from sales calls, if you have a search bar on your website, if you have a chatbot on your website, look into that to understand the exact terminology your users are using, your real users. Not how you as a vendor talk about it, but the words that your users are using. and give that as an input either to an LM or to yourself when you write prompts. Never check your visibility for one prompt on one day. Always think about a topic with multiple prompts and then think about, do I have different personas? Do I have different sales funnel stages, different search intents that I care about?
And then also generate prompts for these per topic and always look at this aggregated data.
That's all for today. And until next time, remember, the answers are always in the data.
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Chapters
5 chapters
1
What metric should I trust over traffic when measuring AI‑driven discoverability?
0:00–0:43
2
How can self‑reported attribution help track AI‑generated leads?
0:43–1:19
3
Why shouldn’t I obsess over exact user prompts in AI search?
1:19–2:03
4
How do I create diversified prompts that reflect different personas and funnel stages?
2:03–3:07
5
What’s the best way to monitor AI search visibility across multiple topics and prompts?
3:07–4:03