Why “Brand” Is Becoming the Real Battleground in AI Search

In this week’s episode of Voices of Search (recorded live at the SMX conference in Boston), we spoke with Danny Goodwin, editorial director of Search Engine Land. Danny has spent nearly two decades in search journalism, first at Search Engine Watch and now leading editorial strategy and conference programming at two of the industry’s most established institutions.

Our conversation covered why brand recognition is becoming the deciding factor in AI search visibility, whether the open web can survive the shift toward AI-generated answers, why measurement is more broken than ever, and what it actually takes to cut through the noise in an industry that changes weekly.

Key Takeaways From This Episode:

• Brand is emerging as the central currency of AI search. Being a recognizable, well-defined entity matters more than ever, because AI systems reward what’s already established and notable.
• The open web is “on the endangered list,” in Danny’s words, as AI answers increasingly remove the incentive for independent creators to keep publishing.
• Reliable measurement for AI search doesn’t really exist yet. Visibility tools can’t account for the personalization that makes identical prompts return different results for different users.
• Google’s dominance isn’t going anywhere despite the AI hype. With 13 products and over a billion monthly users each, the idea that AI is “killing Google” doesn’t hold up against the data.
• Cutting through industry noise comes down to finding a small number of trusted, specialized voices rather than trying to track every new development yourself.

The Open Web Made AI Possible — and AI May Be Killing It

Danny’s clearest warning in the conversation is also his most pointed: the AI systems reshaping search were trained on the open web, and the open web may not survive the transition it enabled.

“The ironic part of all this is that Google, of course, made AI based on all the hard work of so many people who created content for the web,” Danny said. “Now those people are going to get squeezed out because how do they monetize anymore?” 

His concern isn’t abstract. If creators lose the economic incentive to publish, the supply of new information that AI systems depend on eventually dries up.

Why “Just Be a Brand” Is Easier Said Than Done

When asked how marketers should respond, Danny pointed to brand—not in the vague sense of “build awareness,” but as a specific defense mechanism in an AI-mediated world. 

He traced the idea back further than most people realize:

• Danny referenced a 2008 comment from then-Google-CEO Eric Schmidt, who called the web “a cesspool” and said brands were the solution—years before AI made that framing literal.
• The lesson now, in Danny’s view, is that brands have to “define yourself” in plain language. “You have to define who you are and what you do and who you do it for,” he said, describing it as a recurring theme at SMX.
• The catch is that anyone can publish a claim about who they are, and AI systems can’t always tell the difference. “There’s always going to be kind of those whatever you call them—your competitors, but unethical competitors—who are just going to poison the system.”

Danny doesn’t think the open web is fully dead yet, but he doesn’t dispute the diagnosis. Referencing a recent piece by Mike King, he said: “I don’t think he’s wrong. I think it’s definitely on the endangered list right now.”

Where Search Is Actually Headed: Agentic, Not Just AI

When asked whether AI search will eventually replace traditional search outright, Danny didn’t hedge. “I think ultimately it will,” he said. But he was specific about the destination: not just AI-generated answers, but a shift toward what one Google employee has already started calling agentic search optimization.

The Star Trek Computer Is the End State

Danny described the trajectory as something the industry has been able to see coming for years. “I feel like the future of search is where Google has always told us it’s going,” he said. “It’s sort of that idea of the old Star Trek computer where you literally just ask a question, and you get an answer.”

That shift has a real cost for one category of content. Danny argued plainly that “informational content is dead” in the sense that made it valuable for years—though he noted it still serves a purpose for topical authority, even without the rankings or traffic it used to generate.

Why Search Engine Land Isn’t Following the Traffic Decline Everyone Expects

Given that backdrop, Danny acknowledged the obvious irony: a publication built on the open web should, in theory, be vulnerable to the same forces he’s describing. He said that hasn’t played out the way people might expect. 

Part of the reason, in his telling, comes down to a deliberate editorial standard:

• The site leans on contributors with direct, hands-on experience rather than theoretical commentary. “It’s not us just talking about things in theory,” he said.
• The bar for any piece of content is simple: “Does this help people? Does it help them do their jobs better? Does it keep them informed?”
• The site recently expanded its contributor program significantly, now publishing roughly four contributor pieces per day.

Ultimately, while the rest of the web panics over declining traffic, Search Engine Land is insulating itself by doubling down on the exact defense mechanism Danny recommends for everyone else: building an undeniable, expert brand.

Measurement Is a Bigger Mess Than Most People Are Admitting

One of the most direct exchanges in the conversation centered on measurement—an area Danny was unusually blunt about.

“Traffic doesn’t matter anymore,” he said. “It’s all about citations and mentions.” But even that replacement metric comes with serious caveats. 

Citing research from Rand Fishkin showing that ten people running the same prompt from ten different locations can get ten different results, Danny questioned whether visibility tracking is even a meaningful concept right now. “Is visibility useful then? I don’t think so.”

What Would Actually Help, and Why It Probably Won’t Happen

Danny’s preferred solution—real user panel data showing what people are actually asking and seeing—runs into a structural problem: privacy. He drew a direct parallel to why voice search data never made it into Search Console. “The more personal these things get, the more traceable they get,” he said. “It’s really hard to anonymize that… and I think it’s an even bigger problem for prompts.”

He was equally direct about Google’s incentives here, pointing to the long-standing removal of organic keyword data as the pattern to watch. “All you can go by is actions and history,” he said, “and all of that points to we’re not getting anything significant” on AI performance data going forward.

Agents Are Coming, and the Industry Should Treat Them Like Employees

On the subject of AI agents, Danny offered a framing that’s more practical than most of the discourse around the topic. “I sort of view them as weirdly the same as people in a way,” he said. “Yes, they are technology, but they are working on behalf of a person. So it’s essentially step-saving.”

He was careful to separate genuine capability from hype. Despite the volume of conversation around agents and AI search threatening Google’s position, the actual numbers tell a different story:

• Google has 13 products with over a billion monthly active users each, including AI Mode and AI Overviews.
• ChatGPT’s overall market share relative to search is still small by comparison. “Nothing’s killing Google,” Danny said. “It’s just not going to happen.”
• What is changing, in his view, is that the industry will need fluency in managing agents responsibly rather than treating them as a novelty. “You can’t do things in 2026 like you’re doing four or five years ago anymore.”

When the hype clears, the real challenge for marketers isn’t surviving a sudden Google collapse, but rather adapting to a world where managing these AI agents is the new baseline for daily operations.

A New Kind of Update Cycle—and a New Kind of Risk

Danny drew another sharp parallel between the old Google algorithm updates that defined SEO for years and the model update cycles now driving change across AI platforms. “Every time ChatGPT comes out with a new model, it’s sort of like the old Google dance,” he said, referencing the monthly ranking shake-ups SEOs used to dread. “The difference now is that the shifts are harder to track and explain after the fact.”

He also raised a structural concern about where control is consolidating. With OpenAI, Anthropic, and other major AI companies approaching trillion-dollar valuations, Danny agreed with the framing that the industry is moving toward a small set of “oligarch” companies controlling how people find information. 

The risk, in his view, is what happens to brands that don’t make the cut. “There is no page two of AI,” he said. “It’s just here are the brands… if you’re not in that set, that’s going to be a hard time.”

There’s No Universal Playbook, Only Trustworthy Guides

The conversation closed on the question that arguably matters most for anyone trying to operate in this environment: how do you actually manage the volume of change without losing your footing?

Danny didn’t pretend to have a clean system. “I don’t know if you can at this point,” he said. “There is so much noise out there.” His honest answer wasn’t a framework or a tool—it was a method for filtering. Find a small number of people who’ve been credible for a long time, and be skeptical of anyone selling a shortcut. He pointed specifically to case studies that show dramatic short-term traffic gains with no view of what happened after the chart ends. “We were great for three months” isn’t a strategy, especially for a brand that can’t afford to “completely torch everything.”

The deeper point underneath that advice applies to nearly everything covered in this conversation: brand definition, measurement, agents, the open web. None of it works the same way for every business. “One thing definitely does not apply to all when it comes to AI,” Danny said, “just as it never did for search either.” 

The tools and platforms will keep shifting, sometimes month to month. Finding people who’ve earned trust over time, and applying their advice to your specific circumstances rather than copying it wholesale, is the closest thing the industry has to solid ground right now.

Voices of Search is a daily SEO and content marketing podcast hosted by Jordan Koene and Tyson Stockton. The show delivers actionable strategies and data-driven insights to help marketers navigate the ever-evolving world of search engine optimization and content marketing. New episodes air weekly, covering everything from technical SEO to AI discovery, featuring industry leaders and practitioners sharing real-world frameworks and proven tactics.

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