For the last 18 months, AI has fundamentally disrupted the way people search and find information.

The SEO industry’s response was disjointed, and—let’s be honest—entirely reactive.

We simply did not have the data to understand what was changing, how fast it was changing, and where we would ultimately end up.

Back then, rather than solving for the actual problem, such as lost traffic, broken attribution, and the looming threat to revenue, practitioners reached for a lexicon.

We saw a sudden explosion of new acronyms: GEO, AEO, LLMO. Each new acronym narrowed the conversation to a single tactic.

Each one splintered budgets and reinforced a categorically incorrect idea: in order for brands to be visible in the AI era, radically different approaches needed to be built from scratch.

It’s been a distraction. While the industry is busy debating acronyms, the actual behavior of the consumer—and the search surfaces—are evolving right in front of us.

The end of the acronym soup

The dust has finally settled. And I want to remind everyone of something that should make marketers breathe a sigh of relief: the core human behavior behind search, including curiosity, problem-solving, decision-making, hasn’t changed.

Just as importantly, brand visibility in the AI era is still built on the same foundations that have always driven great SEO: crawlable infrastructure, authoritative content, and consistent brand signals.

But SEO alone is no longer enough. Today AI search systems are constructing answers rather than simply ranking links. They retrieve, evaluate, and synthesize information across multiple inputs, then surface recommendations, often without sending users to a website at all. The intermediary has changed. And with it, the entire surface area that determines whether your brand gets selected.

This shift is already visible in the data. AI Overviews appear on roughly 16% of Google search results, and generative platforms like ChatGPT, Perplexity, and Claude are increasingly becoming part of everyday research behavior. The latest research shows also that AI-driven search traffic grew from under 2% to more than 9% of desktop search traffic between 2024 and 2025, while traditional Google searches per user in the U.S. declined by nearly 20% during the same period.

The implication is clear: visibility today is about being selected based on the strength, consistency, and authority of your entire digital presence. This is why the conversation needs to move beyond acronym dissonance and name the shift for what it actually is now and will likely be into the future: a new operating layer for discovery.

This shift is called Agentic Search Optimization (ASO).

Why ASO?

Every AI-generated answer already involves a machine retrieving sources, judging credibility, and composing a response. That's agentic behavior, and it's happening today in ChatGPT, Google AI Mode, and Perplexity. What's emerging now are agents that browse, compare, and transact with no human in the loop.

ASO is the discipline that ensures your brand is found, understood, and trusted across that entire spectrum.

Every time an AI system processes your brand, compares it to others, and determines whether to include it in a response, that is an agentic decision. And those decisions are not based solely on your website; AI agents interpret the entire digital footprint, including media coverage, Reddit discussions, YouTube videos, reviews, partner mentions.

And here’s the shift most brands are still underestimating: AI doesn’t just want to hear from you. It wants to hear what others are saying about you. That’s why, in my view, Agentic Search Optimization, combined with core SEO principles, represents both the present and the future of brand visibility.

Why search is now a board-level concern

For too long, SEO was treated as a marketing motion and, in many cases, an individual contributor's task. Those days are over.

In an AI-driven environment, visibility is not created through isolated efforts. It’s the result of how consistently your brand shows up across every surface that influences discovery. That makes search a reflection of the entire business. Which is why it now sits at the board level.

Growing visibility today requires synchronized alignment across content, brand, product, and communications to create consistent, AI-trusted signals at every touchpoint. Because when visibility depends on consistency, misalignment becomes a growth risk. If your content says one thing, your product signals another, and your external presence tells a different story, AI systems don’t reconcile that in your favor. Instead, they dilute it, and that dilution has a cost.

This is what I call “The Beige Tax”, the cost of safe, generic, average content. In an AI-driven environment, mediocre doesn’t just underperform–it disappears. The only way to compete is through signal alignment: ensuring that every part of your organization reinforces the same narrative, with enough authority and consistency for AI systems to trust and surface it.

Winning in the next era

The biggest misconception about this shift is that it requires starting over. It doesn’t. Winning in this era is accretive meaning it builds on what already works. Once again, the same fundamentals apply. But they need to scale across more surfaces, more signals, and more systems. From our data, three factors consistently drive AI visibility:

Entity authority: If people aren’t searching for your brand, AI won’t either. Brand demand is now a leading indicator of inclusion.

Information density and originality: AI prioritizes content that adds something new—proprietary data, unique insights, strong perspective. Original research can increase visibility by 30–40%.

Signal alignment: Consistency across channels matters more than ever, because AI looks for consensus across your ecosystem rather than simply trusting isolated claims.

This is how brands move from being indexed… to being selected.

The future is clearer, but it doesn't mean it’s easier

The future of brand visibility demands the combination of SEO + ASO. We aren’t asking teams to start from scratch; we are making the case that investment in teams, tools, and strategy must expand to match the new surfaces that influence search.

There are plenty of "AI-native" point solutions popping up right now. They can track a mention or see a single moment in a ChatGPT window. But they lack the historical depth and competitive benchmarking required to contextualize why performance is shifting. They see a moment. At Semrush, we see the trajectory.

The goal for any brand today is simple but difficult: build durable visibility wherever people search. AI just made "being everywhere" the most valuable place to be. The brands that win in the next era will be the ones that show up consistently across exactly there—everywhere.

The shift is here, and the data is clear.

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