Executive summary: Uzair Dada talks AEO & AI adoption on “The Dave Gerhardt Show”

Let’s be honest. You don’t always have time for a podcast or webinar. And while you could feed a transcript to your favorite AI, sometimes it’s just nice to know that the content you’re catching up on is 100% free from hallucinations. 

Executive Summary is Iron Horse’s look at what our team has been up to while they’re out and about in the marketing world, artisanally recapped by our content team to go down smooth. Today’s summarizer: Senior Content Copywriter Calvin Son

The content: Iron Horse founder and CEO Uzair Dada joined “The Dave Gerhardt Show,” hosted by the Exit Five founder, for a far-ranging discussion about AEO, the secret to driving AI adoption, the importance of human judgment, a client that was wasting 98% of its ad budget, the hidden power of call transcripts, and more.

The question: Where are B2B marketing leaders actually focusing their AI efforts?

The plug: The Dave Gerhardt Show #352: Build a Better B2B Growth Engine with Uzair Dada from Iron Horse 

The recap: 

Want AI adoption that sticks? Build a culture of experimentation.

For Uzair, AI’s true power is in removing “functional latency.” Instead of waiting days for design or dev teams, he blocks five hours every Friday afternoon to get in the lab himself. Uzair’s used this dedicated build time to turn his personal sales-prep workflow into an agency-wide account dossier app. 

To scale this energy, Iron Horse has also institutionalized a ritual where leaders demo what they’ve been building themselves. This showcase has created healthy peer pressure and cross pollination of ideas across the agency.

“Every leadership meeting starts with every leader showing what they've built in the last two weeks. We don't start with where the business is. We say, 'What did you build?'"

- Uzair Dada, Iron Horse CEO

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This adoption starts with leadership, then spreads as an agency-wide evolution from traditional marketers to go-to-market engineers. In a world where AI has democratized content production, making it easier to quickly ship content at scale, the true differentiators are human taste and judgment. AI is the engine, but the marketer’s experience is the steering wheel. 

Wasting ad spend? Use AI to focus your targeting.

Too many companies are taking a “spray and pray” approach because they skip the foundational work of understanding their audiences. This often leads to wasted budget and disappointing results. 

"It all starts with refining your audience. And today, most companies are very lazy about doing that. As a result, everything waterfalls down and dilutes [your data and campaigns].”

- Uzair Dada

Uzair shared an eye-opening story about a client who was spending over $1 million across LinkedIn, Meta, and Google Ads, targeting over a million people. But when Iron Horse ran the analysis, the real addressable audience was just 20,000 contacts — meaning 98% of the budget was going to waste.

The solution is to use today’s AI-native tools to make high-precision lists before launching campaigns. By taking advantage of intent signals and platforms like Clay and ZoomInfo, you can concentrate your spend where it makes a bigger impact, driving stronger results.

Wondering how to optimize for AI search? Focus on the second query.

The days of simply appearing on a list of search results are over. Today, the goal is to answer a buyer’s highly specific follow-up questions. Their first query might be broad, but their second search will almost always focus on the nuances of their own business. 

"With our attention spans, we don't even look at the top ten [initial search results]. We go, 'I am a manufacturing company that does roofing, that is $500 million. Here’s my tech stack. I have a team of five people. What should I be buying?'"

- Uzair Dada

To show up in that second query, when decisions actually get made, you need to know what customers are actually asking. Customer call transcripts are a goldmine for this. Use them to identify common customer questions and objections, and feed those questions into ChatGPT, Perplexity, and Google to see where you and your competitors currently stand.

You’ll also see which third-party sites are getting cited. This is critical, considering about 80% of what AI engines find comes from external references. To build real trust with these models, your AEO strategy must focus on earning mentions outside your own domain.

Related webinar: AEO for demand gen teams