Sports fandom runs on gut instinct. Marketing shouldn’t. Watching Ahrefs put a street bettor’s baseball picks up against real AI search data was a sharp reminder: assumptions don’t scale—data does. I believe that if you’re building brands or content in 2026, you either test your hunches or you get tested by the market.
The setup was simple: rank MLB teams by popularity in AI search for a shot at a $100 gift card. The participant went with city size, star power, and playoff buzz. It felt logical. It was also incomplete. That tension between “what feels right” and “what is right” is where winning strategies are born.
You want to win a $100 gift card? You got to rank these baseball teams in order of popularity in AI search and you win $100.
What Ahrefs Showed—and Why It Matters
The player led with the New York Yankees and Los Angeles Dodgers. Smart picks. But when he slotted in the Boston Red Sox third, the data didn’t back it up. The Ahrefs host made it clear they weren’t guessing:
By the way, this is data from Brand Radar and Ahrefs.
That’s the point. Ahrefs isn’t just teaching SEO mechanics; they’re training marketers to check their bias at the door. Popularity in AI search is not a mirror of population size, brand deals, or playoff hype—at least not on their own. It’s a mix of timing, narratives, and the way AI platforms surface and summarize interest.
Listen to how the participant framed his list:
Right now, what I’m thinking is how big the city is. So, I would do it by the population of the city. But number one would probably be the Yankees. Second would be the Dodgers… I would say right now the Red Sox would be number three because they’re in the playoffs… Number four would probably be the Cubs… and then number five would be the Braves.
He was close early. Then the gap appeared. When the Red Sox didn’t land where he expected, the reaction said it all:
If the line is below, then you’re still in the game… Oh, sorry. Yeah.
My Take: Don’t Anchor on Hype—Instrument It
I’ve built companies through booms and busts, from dot-com days to crypto chaos. Patterns fool us. Data saves us. AI search has its own gravity. Tools summarize results, highlight entities, and reward recency in odd ways. Add in brand awareness, rivalries, and news cycles, and you get a popularity stack that shifts faster than old-school SEO.
Ahrefs is pushing marketers to adapt. That’s the lesson I took: measure how people ask, not how we think they ask. A team’s playoff run might spike interest, but rivalries, scandals, or a viral clip can outpace it. The Yankees vs. Red Sox story moves clicks, yet timing and platform context decide who wins the moment.
- Stop ranking content ideas by gut; rank by query volume and trend velocity.
- Track rivalries and breakout players as entities, not just team names.
- Compare AI answers to classic search results before you commit budgets.
Here’s how I’d operationalize this for any brand, not just baseball:
- Build a rolling watchlist of topics tied to events, rivals, and personalities.
- Use Ahrefs and Brand Radar to measure AI summary presence and sentiment.
- Ship quick-hit pages or Shorts during spikes; update them within hours.
- Map seasonal patterns and set alerts for unusual lifts.
- Pair data with street-level interviews to catch fresh language.
Counterpoints—and Why They Fall Short
Some will argue that intuition is what makes marketing magic. I agree—to a point. Gut should spark ideas. But gut without data becomes expensive fiction. Others will say AI search is volatile and not worth chasing. That misses the trend: people are asking AI for quick answers first, then searching deeper. If your brand isn’t in that first answer, you’re invisible when it counts.
What Marketers Should Do Next
Ahrefs delivered a simple test with a loud message. Don’t guess the market. Observe it. Then act fast. For me, this means small bets, short cycles, and ruthless measurement. I’d tie every content sprint to real demand signals. If a rivalry heats up, I’d have a playbook ready for titles, clips, and snippets designed for AI answers and human feeds.
Data beats hunches—but speed beats both. The teams and brands that win will do three things: track the demand, publish during the spike, and measure what the AI actually says back.
Want to stop losing to guesses? Open your tools, pull the AI search data, and rewrite your next content plan around what people ask this week—not what felt true last year. Then test it in public. The $100 lesson from Ahrefs is worth far more if you apply it now.
