The AI Bowl: How Many AI Ads Ran in the Super Bowl and Why CEOs Should Pay Attention

Every year, the Super Bowl gives us a glimpse into where attention is heading next. Historically, it has acted as a cultural and economic signal. Dot-com companies once used it to legitimize the internet economy. Crypto brands later used it to signal a financial shift.

This year sent a different message, and a much bigger one.

Artificial intelligence has officially moved beyond being a “tech industry topic.” It has become a mainstream information channel.

OpenAI. Claude. Copilot. Gemini. Salesforce. Alexa.

AI wasn’t simply present in the ad lineup, it was a category. And that should be a wake-up call for leadership teams.

Because the real story isn’t about advertising spend. It’s about where Americans are increasingly going to research, evaluate, and make decisions.

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AI Was Not a Theme. It Was Infrastructure.

The volume and diversity of AI-driven advertisers revealed something deeper than creative positioning. It showed where budgets are shifting, where attention is concentrating, and where discovery is happening.

AI showed up across three distinct layers of the market.

1. AI-Native Platforms: These are companies whose core product is artificial intelligence itself: OpenAI, Anthropic (Claude), Google’s Gemini, and Microsoft’s Copilot. For these brands, AI isn’t an enhancement or a feature, it is the offering. Their presence signaled that conversational AI is now positioned as a primary interface for information.

2. Enterprise Platforms Powered by AI: Companies like Salesforce, Microsoft’s broader enterprise ecosystem, and Amazon (through Alexa and AI-enhanced workflows) reinforced a second shift: AI is now embedded into business infrastructure. It is no longer something layered on top of operations, it is becoming the operational engine itself.

3. Consumer Experiences Driven by AI: From assistants and smart home ecosystems to generative creative tools and AI-powered productivity platforms, artificial intelligence is increasingly integrated into everyday life. It is not just software. It is becoming the interface through which people interact with information and services.

Taken together, this signals a structural shift, not a marketing trend.

AI Is Becoming the Discovery Layer

What many executive teams haven’t fully internalized yet is how this shift changes buyer behavior.

Americans are increasingly using AI systems to:

• Research products

• Compare brands

• Get recommendations

• Understand complex decisions

• Shortlist vendors before ever visiting a website
  

For years, search engines acted as the front door to discovery. Today, that journey often begins inside an AI-generated answer.

And that answer determines which brands even enter consideration.

If your company isn’t mentioned, it isn’t evaluated.

That’s not visibility loss, that’s pipeline risk.

From SEO to AI Visibility

For the past two decades, marketing strategy centered on search optimization. Teams invested in ranking on Google, building backlinks, publishing content, and running paid search campaigns. Success was measured by traffic and position on a results page.

But AI systems don’t operate like traditional search engines. They don’t simply rank pages. They synthesize answers.

Those answers are shaped by signals such as:

• Wikipedia authority

• Reddit conversations

• Publisher comparisons

• “Best of” lists

• Citation frequency

• Brand mentions across the broader web
  

This creates a new strategic discipline: AI Visibility.

AI Visibility is the ability for your brand to appear, be cited, and be recommended inside AI-generated responses. It determines whether your company is included in the conversation before the buyer ever clicks.

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The Executive Risk Most Teams Are Missing

Most organizations still ask, “How are we ranking on Google?”

Very few are asking, “Is AI recommending us?”

That gap is where competitive risk lives.

If competitors are consistently surfaced and recommended inside AI responses, they enter the buying journey earlier. They shape perception. They build trust before the first website visit. They influence evaluation criteria before your brand is even seen.

This is not a marketing experiment. It directly affects consideration, pipeline quality, and revenue velocity.

Visibility inside AI answers determines who gets evaluated, and who doesn’t.

What the Super Bowl Validated

The Super Bowl isn’t just an advertising platform; it’s a market signal. When major brands spend millions to position AI front and center, they’re doing more than selling products. They are training the market, shaping user behavior, and accelerating adoption.

Leadership teams should expect:

• More buyers starting research inside AI systems

• More decisions influenced by AI summaries

• Shorter traditional search journeys

• Earlier brand filtering before website visits
  

In other words, the marketing stack is shifting upstream, toward influence before the click.

What CEOs and CMOs Should Do Now

The response isn’t to “experiment with AI.” It’s to operationalize AI visibility.

That starts with measurement. Where does your brand currently appear in AI answers? Are competitors recommended more frequently? In what contexts?

Next comes authority development. AI systems pull from trusted sources, including Wikipedia, publisher ecosystems, Reddit discussions, and citation networks. Strengthening your presence across these channels increases the likelihood of recommendation.

Finally, AI visibility must become operational. It should be tracked like share of voice, brand search, and pipeline metrics. It should have executive visibility. It should influence strategy.

This is not a campaign. It’s an infrastructure shift.

Where Verbatim Digital Comes In

Most companies are still optimizing for ads and traditional rankings. At Verbatim Digital, we focus on whether AI recommends you.

That includes AI visibility tracking across major models, citation engineering, Wikipedia authority development, Reddit presence building, publisher placement, and recommendation order optimization.

We don’t just monitor how brands appear inside AI answers, we actively shape that presence.

Because discovery is no longer just about being found.

It’s about being recommended.

The Bottom Line

The Super Bowl used to tell us what people were watching.

Now it tells us how people are deciding.

AI is becoming the interface Americans use to understand the world, evaluate brands, and make purchasing decisions. If your organization has a search strategy but no AI visibility strategy, there is a blind spot, and competitors are already occupying that space.

The question is no longer whether AI will shape buying decisions.

It already is.

The question is whether your brand shows up when it does.

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