
The clearest sign a company is not ready for AI-driven discovery
About this episode
Most companies lack systematic approaches to measure AI-driven search visibility beyond traditional traffic metrics. Malte Landwehr, CMO and Chief Product Officer at Peak AI, shares proven methodologies for evaluating discoverability across AI-powered search platforms. The discussion covers self-reported attribution frameworks for tracking AI-generated leads, prompt diversification strategies that account for user intent variations across sales funnel stages, and systematic visibility monitoring approaches that aggregate data across multiple prompts rather than relying on single-query assessments.
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Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast — The clearest sign a company is not ready for AI-driven discovery. Machine-transcribed; use the interactive transcript above to jump the player to any line.
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 I Hear Everything dot 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 Cooney, and joining me today is Multilandry, a CMO and Chief Product Officer at PKI. 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. Right, 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. You don't need to know word for word, what a user type 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. Time for a one minute break to hear from our sponsor, Previsible. So you're looking for SEO help and you got a couple of options. You could start replying to spam from agencies that claim they can get you to rank number one on Google. You can pay an hourly rate for a consultant who will inevitably nickel and dime you with hourly charges or you can work with a cookie cutter agency to quickly launch a strategy less project with low success rate. None of those sound very good. Now do they? Well, that's where Previsible's integrated consulting model comes in.
Previsible draws from a collective 40 years of SEO and digital marketing experience to unlock your organic growth opportunities. They build custom solutions that combine strategy, technical expertise, content, and reporting to effectively operationalize SEO for your business. Previsible's four-stage approach ensures that your SEO programs thrive by starting off with a strategy first approach. Then they support you in your efforts to create quality content, help you identify technical issues, and most importantly, they'll work with your cross-functional teams to integrate your SEO strategies to make sure that your SEO budget actually drives results. Not just your agency's bottom line. So join brands like Yelp, eBay, Candle, Atlassian, Square, all who rely on the SEO consultants at Previsible. For more information, go to Previsible.io. That's Previsible, P-R-E-V-I-S-I-B-L-E-D-I-O. And then write a couple of prompts. Use maybe an LLM to help you. What would somebody who cares
about this right 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 final stages, different search intent 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. Until next time, remember, the answers are always in the data.
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