Marketing Trends: Yext CEO Reveals How To See Your True AI Ranking

Podcast: Marketing Trends
Host: Stephanie Postles
Guest: Michael Walrath, CEO of Yext
Date: August 20, 2025

Episode Overview

This episode dives deep into how artificial intelligence is fundamentally reshaping search, visibility, and brand reputation management. Michael Walrath, CEO of Yext, explores the transformation from the Google-dominated search era to today's AI-driven information landscape. He shares insights on adapting marketing strategies for the age of fragmented endpoints, how businesses can measure and enhance their true AI ranking, and why structured data is more crucial than ever. The conversation offers actionable advice for marketers on future-proofing their content and data in a world where consumers—and AIs—are getting smarter.

Key Discussion Points & Insights

1. The Shifting Search Landscape

• Google’s Changing Role: The episode opens with Michael noting that marketers are seeing less traffic from Google as AI chatbots (like ChatGPT) and new models provide increasingly direct, citation-based answers ([00:00]).
• AI as Search Competitors: Unlike a year ago, AI tools now deliver local information with sourced citations, challenging Google's dominance ([05:41], [06:59]).
• Quote:

  "12 months ago if we asked ChatGPT where's the best place to get a double cheeseburger near me? ... Now, you're starting to see that they're delivering their own map views, they're delivering their own citation built answers."
  – Michael Walroth ([00:00])

2. Yext’s Evolution & Mission

• Company Background: Yext began as a pay-per-call engine and pivoted to become a leader in syndicating local business information across apps and search engines after mobile devices fragmented the search experience ([07:11]).
• Not Only for Local: While local businesses remain core, the future will see non-local brands needing hyper-local visibility insights for targeted marketing ([09:29]).
• Quote:

  "Where I think this goes next...brands are really going to want to understand their visibility and brand sentiment at hyper local levels, even if they're not location based businesses."
  – Michael Walroth ([09:29])

3. ‘Refragmentation’: The Next Era for Marketers

• From Consolidation to Fragmentation: Visibility was once just about Google, then consolidated into a 'Google monopoly,’ but now AI and new endpoints are refragmenting search ([12:51]).
• Marketer Action: The challenge is pivoting from optimizing for a single source to a multitude of endpoints and AI agents ([12:51], [15:54]).
• Quote:

  "I think what's happening is every CMO and a lot of CEOs, they want to understand what happens if the traffic is all being distributed...how do I make sure that I'm still discoverable?"
  – Michael Walroth ([12:51])

4. Structured Data is King

• The Web Gets Lighter: The shift from heavily designed websites to lightweight, structured data feeds is driven by AI’s appetite for clean, machine-readable information ([17:08], [18:41]).
• Technical-Marketing Partnership: IT and Marketing need to work closely to ensure all content is structured for both humans and AIs ([18:26]).
• Quote:

  "What the AI driven consumer search experience is going to want is pure data. Give me your structured data. I don't want your images, I don't want your navigation menus...just constantly update the structured data."
  – Michael Walroth ([17:08])

5. Content Best Practices: Still Unwritten

• No Silver Bullet: There are tricks (like using “2025” in headlines), but these are temporary. The real edge comes from staying adaptive and competitive data monitoring ([21:36]).
• Granularity > Best Practices: Individualized, location or segment-specific strategies will overtake broad best practices ([23:38]).
• Quote:

  "Best practices go out the window when you can deliver, like, really bespoke brand visibility optimization mechanisms across each of those individual stores."
  – Michael Walroth ([24:14])

6. Operationalizing AI-Driven Insights

• Yext’s New Platform: Scout provides hyper-granular, competitive intelligence by tracking thousands of data points at the rooftop level, comparing each business to its local rivals ([34:13]).
• Action-Oriented Tools: The next frontier is coupling this intelligence with AI-powered orchestration that can automate local actions and measure ROI in real time ([37:50]).
• Quote:

  "This new product allows us to send this kind of army of AI into the world, do highly localized searches...and we can compare all that data. So we can basically say for this store, you are doing great on number of reviews...your page load speed is too slow..."
  – Michael Walroth ([34:13])

7. Software vs. Services: The Blending Future

• Expect Blurred Lines: The classic distinction between software and services in marketing tech is becoming irrelevant as AI enables new combinations ([28:29]).
• Quote:

  "In a world of AI where services become easier to deliver and more of it's automated, every marketer, every brand, every business should expect a blending of software and services."
  – Michael Walroth ([28:29])

8. The Power of Context and Personalization

• AI's Memory Advantage: Contextual memory in AI agents (like ChatGPT) allows for deeply personalized recommendations, much like how people who know you well would serve you ([31:11]).
• Implication: Brands need to diversify content and data input to maximize relevance in different user contexts.

Memorable Quotes & Moments

• On Fragmentation ([06:59])

  "Language models are cool because you can actually just ask it why, why did you choose this place? ... It kind of gives you a pretty good mosaic of how it's determining what the answer...is."

• On Data Partnerships ([18:41])

  "We need to live in a world where you can do both, where you can have the human experience and it's pixel perfect. But underneath that ... is the data version of that page, which is perfectly structured."

• On Old vs. New Tactics ([22:15])

  "It's a trick. It's sort of a cheap trick for now. And the consumer experience is awful...this is going to evolve so fast that I wouldn't say that there's a set of best practices."

• On the Decline of ‘Best Practices’ ([24:14])

  "It just becomes an arms race that you really don't have a choice but to participate in as a marketer."

• On Traditional Review Sites ([11:36])

  "You fast forward like 10 years and [Yelp is] a small minority of the reviews. And Google has completely monopolized that."

Important Timestamps

• AI Search Replacing Google: [00:00]–[00:25], [05:41]
• History of Yext: [07:11]–[09:20]
• Refragmentation & Marketing Implications: [12:51]–[15:54]
• Structured Data & Technical Partnerships: [17:08]–[18:41]
• Best Practices in Content Structuring: [21:36]–[24:14]
• New AI Visibility Product: [34:13]–[37:50]
• Software vs. Services Discussion: [28:29]
• Desert Island Scenario & Book Recommendation: [40:38]–[41:45]
• On Podcasts as Marketing Channel: [44:11]–[45:58]

Notable 'Lightning Round' Answers

• Book on a Desert Island:
  Deep Survival—"amount of training...is often inversely correlated to the rate of survival" ([40:38])
• Software to Bring:
  Yext's own analytics suite ([41:53])
• Which CMO to Bring:
  "A CMO who understands that these moments of tectonic plate shifts are the opportunity..." ([42:22])
• Unconventional $1M Marketing Bet:
  Investing in podcasting/deep conversations over traditional PR—"It's the most powerful medium right now and it's why I spend a lot of my time talking to people doing these podcasts." ([44:11])

Final Thoughts

Walroth repeatedly emphasizes that core marketing principles—visibility, relevance, and reputation—haven't changed, but the tactics to achieve them are shifting rapidly. The future belongs to those who embrace data, think granularly, and stay agile in the face of fragmentation and AI-powered context.

"If you figured out how to do SEO in 2002 or 2003, you had a durable, probably 5 to 10 year advantage... Those who lean into it are going to be thriving."
– Michael Walroth ([42:22])

Key Takeaway:
Marketers must quickly adapt to an environment where AI endpoints, structured data, and hyper-granular visibility define success. The era of 'best practices for all' is over; the future is bespoke, data-driven, and operationalized at scale.