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Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast

16 Sep 2026 · 1m · 1 chapter

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Which AI search platform are marketers paying the least attention to today?

In short

Which AI search platforms marketers are paying least attention to, and how to measure attention across tools rather than guessing based on personal habits.

Guest backgrounds

Jason Lacks, Senior SEO and AI expert at SAP; host Jordan Cooney.

Key claims

Don’t name a single “least attended” platform because it depends on the audience and workplace tool restrictions. Use cross-platform measurement and data to find gaps instead of assuming they mirror your own usage.

Notable examples

Mentions enterprises limiting tool access; suggests measuring across multiple AI search platforms. Sponsor examples: Yelp, eBay, Canva, Atlassian, Square (SEO consulting clients).

Written by AI. May contain mistakes.

Chapters

2:25

Measuring Tool Efficacy

Discussing the importance of measuring SEO tool effectiveness.

“Some enterprises might only allow a specific tool at their places of work.”
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Transcript

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0:00Jason Lax: 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.

0:42I'm Jordan Cooney, and joining me today is Jason Lacks, Senior SEO and AI expert at SAP. Which AI search platform are marketers paying the least attention to today? I'd rather not name one because the risk is always answered from your own habits. The platform you're under weighing depends on your audience. Time for a one-minute break to hear from our sponsor, Previsible. So you're looking for SEO help, and you've 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.

1:22or 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. Pre-Fizzable's four-stage approach ensures that your SEO programs thrive by starting off with a strategy-first approach.

1:58Then 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, Canva, 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 dot I-O.

2:33Not mine. I mentioned this earlier. My kids live on YouTube. Some enterprises might only allow a specific tool at their places of work. and you've got to measure across all of them and let the data tell you where the gap is instead of assuming that it matches your own usage.

From the publisher

Marketers routinely misjudge which AI platforms their actual audience uses. Jason Lax, senior SEO and AI expert at SAP with nearly two decades in search now leading AEO and GEO strategy, argues platform prioritization should never be assumption-driven. He outlines a cross-platform measurement framework that tracks performance across every AI search surface rather than defaulting to personal usage patterns, paired with audience-segmented analysis that accounts for enterprise tool restrictions and generational usage splits to reveal true visibility gaps.

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