AI Overviews in 2025
AI Overviews are Google’s way of answering your question right at the top of the search results, using generative AI. Instead of displaying a multitude of blue links, Google now summarizes key information from across the web and provides a neatly packaged answer. It’s like a personal assistant that reads all the top pages and explains them to you in plain English.
These overviews usually show up for less complex or multi-part questions, like “what’s the best way to lower blood pressure naturally?” or “what year did MoneyBall take place?” where Google thinks you’d benefit from a summarized answer instead of digging through ten blog posts. Underneath that summary, it often lists the sources it pulled from, but not always in a way that drives traffic back to those sites.
While it can be helpful for users, it has the SEO world very nervous, as Google’s AI gives people the answer upfront. What’s the motivation to click through to the site that actually provided that information? It’s a shift in how people find (and consume) content, and it means businesses need to think differently about how they show up in search.
How Do SEO’s Adapt?
One of my favorite movies is Moneyball, starring Brad Pitt, Jonah Hill, and Chris Pratt, before he was in every movie, including the voice of Mario in the kids’ Mario Bros movie.
Moneyball is a true story about how the Oakland A’s baseball team, led by GM Billy Beane, who used data and analytics to compete with bigger, richer MLB teams. Instead of relying on old-school scouting and gut instincts, they focused on overlooked statistics, such as on-base percentage, to find undervalued players. The film shows how Beane and his team challenged baseball’s traditions, built a competitive roster on a shoestring budget, and proved that smart strategy could beat big money. At its core, Moneyball is about disruption and how data can change the game. It’s also how those unwilling to adapt risk get left behind.
“Adapt or die” – One of my favorite lines from the movie. It happens at a pivotal moment where Brad Pitt’s character is confronted with one of his head scouts on the direction he’s taking the organization. He fires the scout and goes all in on this new way of thinking. Using analytics and statistics to find value for roster construction and essentially saying goodbye to the old school ways.
This is similar to what’s happening in SEO. That line, ‘adapt or die,’ has been echoing in my head a lot lately as I scroll through Reddit threads and LinkedIn, full of people melting down over Google’s AI Overviews. You’d think that the entire industry was collapsing if you didn’t know better. People are calling it the end of SEO (again) and the death of traffic, as well as a content apocalypse.
But here’s the thing: We’ve been here before.
We panicked over voice search.
We panicked over featured snippets.
We panicked over algorithm updates that punished bad content. And every single time, the people who adapted didn’t just survive, they thrived.
Quick Answers vs. Long Content
In some cases, I agree with what Google is doing. Remember, the goal is to provide the user with the best answer to a query in the least amount of time. Do we really need a 2000-word article for something that can be summarized in two sentences? – Of course not. And while I know content creators who were banking on clicks and pageviews from long content will disagree, but times have changed.
The old way involved a search for something simple, like “how long to boil eggs for hard boiled.” We then had to scroll through a lengthy article only to find the instructions at the bottom of the page, buried under 25 ads. With AI Overviews, the answer is provided with a quick result. No need to click, easy answer.
However, the sky is not falling, as a more complex search, one that requires more details, still shows blue links.
Granted, this could eventually change, but I don’t see it. Why? – Money.
Let’s be clear: Google didn’t build a $2 trillion company by giving away too much. In 2023 alone, they made over $162 billion from Search ads, which is pay-per-click advertising tied directly to what people search. It’s the backbone of their business, making up nearly 70% of their total revenue. So the idea that they’d just start handing out complete answers with no path to monetization doesn’t add up, unless you look deeper.
Google is playing a long game. They know search is changing. Users are frustrated with spammy content, SEO-optimized fluff, and clickbait sites that make you scroll past ads just to get a simple answer. If Google doesn’t evolve, people will go elsewhere, TikTok, Reddit, or even AI tools like ChatGPT or Perplexity. AI Overviews are Google’s way of staying ahead. They’re designed to offer fast, summarized answers that improve user experience, but not eliminate monetization. Google is testing where and how to place ads around these AI results.
They’re not killing SEO. They’re forcing a shift. The real goal is to keep users on Google longer. Make the search more helpful, while still guiding people to transactional queries, product searches, and commercial clicks, the types of actions that advertisers are happy to pay for.
This isn’t Google becoming Wikipedia. It’s Google becoming a smarter middleman. If you’re worried about AI Overviews, you’re not wrong, but don’t forget, they still need to make money, too.
That pressure works in your favor if you know how to adjust
SEO MoneyBall
The “adapt or die” moment is a rallying cry for innovation, and Billy Beane’s strategy revolutionized how teams evaluate players, using on-base percentage and other undervalued metrics. But as the story/movie unfolds, it also quietly acknowledges the limitations of a purely data-driven approach. The A’s still don’t win it all, and traditional scouting, team chemistry, and player intangibles aren’t rendered useless – they’re just recontextualized.
A good example of this is when Scott Hatteberg hits the walk-off home run to secure the A’s 20th consecutive win. Yes, he’s a sabermetric darling, but it’s a very human moment, emotional, unpredictable, and something no spreadsheet can forecast. And there’s Art Howe, the old-school manager whose resistance causes tension, yet his instincts and leadership still play a role in the team’s success.
The real takeaway is that the movie isn’t glorifying data at the expense of tradition. It’s showing that data can shine a light on inefficiencies, but you still need the scouts, the coaches, the relationships, and the clubhouse culture. Teams that eventually built dynasties (like the Red Sox post-2004) blended both worlds, analytics and baseball instincts.
So yes, “adapt or die” remains true, but the evolution isn’t about abandoning the old; it’s about integrating the old and new into something smarter.
