Google Isn't Going Away. But the Google We Knew Is.

By James Arnold
Rooster Chief Digital Officer

For most of digital marketing’s history, Google Search was one of the more comfortable places for marketers to work. We picked the keywords. We organized them into campaigns and ad groups. We wrote the ads. We set the bids. We watched the search terms. We optimized. Google certainly had an algorithm behind the scenes, but marketers could see enough of what was happening to feel like we had our hands on the wheel.

That version of Google is disappearing.

That does not mean Google is disappearing. Far from it. Paid search remains one of the most powerful tools available to marketers. But keywords are becoming themes. Search is becoming more about intent. Performance Max and Demand Gen have stretched the definition of what we even consider “search.” AI Overviews and AI Mode are changing the experience on the other side of the query. And Google increasingly wants marketers to provide the goal, the assets and the data, then let its technology figure out how to get there.

For marketers, especially those of us working in agriculture and other complex B2B categories, that creates an interesting tradeoff. Google keeps getting more powerful. At the same time, we keep giving up control.

The keywordless future isn't as crazy as it sounds

Jill Frain, Senior Channel Manager – Search at Goodway Group, doesn't believe paid search is in trouble. She does believe we need to broaden our definition of it.

“Paid search is still a top performer in terms of driving actions,” Frain said. “I think search will continue to evolve with changing landscapes, but can no longer be a singular media strategy.”

That's an important distinction. People haven't stopped searching. What we call search is expanding.

Consumers aren't necessarily typing two or three words into a box and selecting from 10 blue links anymore. They're asking questions. They're watching videos. They're looking for images. They're getting answers generated for them. They're discovering something on one platform, researching it on another and eventually showing up at Google with a very different level of intent than the person who began the process there.

Google's products have evolved accordingly. Frain points to Performance Max and Demand Gen as part of what marketers increasingly need to consider alongside traditional paid search.

“These help bridge the gap between audience marketing and keyword marketing,” she said.

And that brings us to something that would have sounded preposterous to a search marketer not all that long ago: We may be headed toward a keywordless future.

Frain doesn't think keywords disappear tomorrow. But she does think they're going away eventually. We're already seeing the transition from exhaustive keyword lists to broader keyword themes.

For those of us who remember building enormous keyword lists, including every imaginable variation and misspelling, that requires a pretty significant mindset shift. The old objective was to anticipate exactly what someone might type. Increasingly, our job is to give Google enough information to understand what we're trying to accomplish and, more importantly, what the searcher is trying to accomplish.

That's intent.

And Google is exceptionally good at understanding it.

Google probably knows more than we do

There is an obvious question here. If people increasingly search through ChatGPT, TikTok, YouTube and other environments, doesn't that weaken Google? Sure. To some extent, it already has. But declaring the end of Google's dominance ignores one enormous advantage: Google has spent decades learning about its users across an ecosystem that extends far beyond the search box.

Frain believes that data advantage matters.

“Google has that first-party data that's going to help drive the performance that people need,” she said.

Google doesn't merely know what someone typed into Search. Its ecosystem can contain signals from YouTube, Maps, Gmail and other Google products. That creates a much richer understanding of intent than a single query can provide.

YJ Kim, Strategy Director at AI Digital, thinks that's why the more useful question isn't whether Google still works.

“The real question now is not so much, does Google still work, is it effective, but more about do we actually understand how it works and what it's optimizing towards?”

That's the question marketers should probably spend more time thinking about. Because the answer is increasingly: not completely.

Welcome to the black box

Performance Max may be the clearest illustration of the bargain marketers are making. Give Google your objectives, creative assets, conversion data and other signals, and its technology can make an enormous number of decisions about where, when and how to reach people. That can work extraordinarily well. But when it does, we may not know exactly why.

Kim described a conversation with an agency running PMax where some of the best-performing combinations of headlines and images didn't seem to make sense together. They weren't necessarily telling a coherent brand story. Yet they were generating strong click-through rates. That's not necessarily a failure of the algorithm. In some ways, it's evidence that the algorithm is doing exactly what it was asked to do.

“The algorithm's not necessarily asking, ‘Is this the most coherent brand message?’ but rather, ‘Is the combination most likely going to drive a predicted action for this user?’” Kim said.

An algorithm can optimize relentlessly toward the action we tell it to value. That doesn't necessarily mean it's optimizing toward brand consistency, customer quality, long-term perception or even the business outcome we ultimately care about.

Bethany Andrew, Executive Marketing Consultant at State of Marketing, sees the same tension from the day-to-day platform management side.

“All of them are going more into this black box of AI,” Andrew said of the major digital platforms. “They really want marketers to hand over the keys to them to determine where and what your ad is placed.”

She sees a real upside. The bidding technologies in Google and Meta can be remarkably good at optimizing toward a selected conversion event. The downside is that marketers have fewer levers to pull because we don't always have visibility into where, what or why something converted.

Google has at least begun giving some of that visibility back.

The box may be getting a little less black

Early Performance Max was particularly challenging because advertisers had remarkably little information about where their ads actually appeared. As Andrew put it, an ad could be “anywhere across the Google universe.” That's changing.

Google has introduced more placement visibility and channel reporting, allowing marketers to better understand how impressions, clicks and conversions are distributed across properties such as Search, Gmail and Maps. Advertisers can also mine placement reports to identify obviously irrelevant inventory.

That's meaningful progress. But there is an interesting catch: seeing isn't necessarily controlling.

“You cannot make any bid adjustments or placement adjustments at that level,” Andrew said of some of the newer channel visibility. “Hopefully, I'm optimistic that Google will start to open up more control to advertisers.”

That may be one of the defining tensions in Google's next era. Marketers may receive more information about what Google's systems are doing without necessarily regaining the ability to tell those systems exactly what to do. And perhaps we need to get comfortable with some of that.

The algorithms can process more signals, combinations and potential decisions than a human marketer ever could. Trying to manually recreate that capability isn't the answer. Neither is blindly trusting it.

Our job is moving upstream

If Google is increasingly making the tactical decisions, where does that leave the marketer? Arguably, with the more important decisions.

Kim believes the differentiator remains the human component. Before allowing platforms and AI to optimize, marketers need to understand the customer journey, map the intent structure, define the right signals and determine what success actually means.

“The answer isn't to avoid AI or automation,” Kim said. “We have to provide better input, guardrails and a clear expectation on what success looks like.”

For years, a good search marketer could create value through tactical expertise. We knew how to structure campaigns, manipulate bids, develop keyword lists, write effective ads and identify opportunities buried in search-query reports. Those skills still matter, but increasingly the platform can perform many of the mechanical tasks faster than we can. So, our value moves upstream.

What business problem are we solving? What does the customer actually want? What intent are we trying to capture? Which conversion tells us something meaningful? Are we feeding Google clean data? Does the creative combination that generates the click also represent the brand appropriately? And, most importantly, is any of this actually creating a business result?

Andrew makes the data requirement particularly clear. As platforms take on more decision-making, she argues that clean conversion tracking and a reliable source of truth become essential.

“You have to make sure your conversion tracking is set up correctly,” she said. Whether that source of truth is a CRM, GA4 or another system, marketers need something outside the platform against which performance can be judged.

Because Google telling us Google did a great job is foolishness.

Search is also getting bigger than Google

There is one other change marketers need to reckon with. Google may remain the center of search, but it no longer owns the entire idea of searching.

Kim points to Microsoft and Bing as potentially strong extensions, particularly in B2B environments because of Microsoft's connections across Office, Windows, LinkedIn and Copilot. AI answer engines such as ChatGPT deserve attention as well, although he believes marketers should tread carefully while benchmarks, measurement standards and industry guardrails mature. Then there are Amazon, TikTok and YouTube.

“I wouldn't call them paid search in the traditional sense, but they are absolutely search adjacent,” Kim said, because consumers use them to “research, validate, compare, discover and make decisions.”

We spent years thinking of search as a channel. Increasingly, search is a behavior. Someone wants to know something. They want to solve something. They want to compare something. They want reassurance before making a decision. Where they express that intent is becoming less predictable.

Google understands this, which is exactly why Google itself is moving beyond the traditional search experience.

So, is Google's sky falling?

No.

But if your definition of Google marketing is choosing a few hundred keywords, writing some responsive search ads and watching CPC and CTR, then yes, that world is fading pretty quickly.

The opportunity ahead may actually be greater. Google can understand more signals, process more information and make more decisions than the platform we used even a few years ago. It can connect audiences, intent, creative, placement and conversion signals at a scale no human campaign manager could realistically replicate.

But access to more power doesn't eliminate the need for marketing judgment. It increases it.

We need better inputs. Better conversion tracking. Better customer understanding. Better creative guardrails. Better definitions of success. And we need to understand when Google's optimization toward an action is actually moving the business forward and when it is simply producing an attractive number inside Google Ads.

The future of Google may very well be keywordless. It will certainly be more automated and more AI-driven. That doesn't make the marketer less important. It just means our value can't be clicking the buttons Google is increasingly capable of clicking for us.