AI Agents and Zero Click Search: The New Marketing Playbook

AI agents are browsing the web—and making decisions. Here’s what marketers need to know about staying relevant to both algorithms and humans in the age of zero click search.

Last updated: Jul 11, 2025
Written by Victoria Lescano
Victoria Lescano
Victoria is Content Production Lead at Postdigitalist.

Imagine waking up to find one of your most avid website “visitors” isn’t human at all – it’s an AI. That scenario isn’t science fiction anymore. AI is fast evolving from a passive tool into an autonomous browsing entity that can explore the web on our behalf. 

AI isn’t just curating search results anymore; it’s actively consuming content and interacting with pages in real time. From OpenAI’s Operator to Google’s Gemini-in-Chrome, we’re witnessing the dawn of AI as a genuine web participant—a shift with profound implications for marketers. As AI delivers answers directly, zero-click search is becoming the norm, shrinking the window for brand visibility and reshaping how we earn attention online.

The new digital marketing playbook is being written in front of us. And that’s what we’ll dive into today, welcome back to the current thing.

OpenAI Is Breathing Down Google’s Neck — And Changing the Web Along the Way

Early this year, OpenAI unveiled Operator, a general-purpose AI agent that literally controls a web browser and performs tasks for users. Operator can fill out forms, book travel, make restaurant reservations—even order your groceries—using a built-in browser that clicks and scrolls just like a person would. In other words, AI itself is becoming a web user—a customer, of sorts—navigating sites and completing transactions independently.

And just a few days ago, OpenAI announced it’s on the verge of launching its own AI-powered web browser—built atop Chromium—that integrates ChatGPT and “Operator” to perform tasks such as bookings and form-filling on behalf of users. This isn’t a Chrome extension or a floating sidebar. It’s a standalone browser designed to transform how users—from humans to bots—interact with the web. And that means the decision-maker could soon be an AI, not a human being.

Google’s Response: Gemini in Chrome

Meanwhile, Google is weaving its own AI agent directly into Chrome. The company’s new Gemini AI is now integrated into the Chrome browser, with a chat-based assistant that can “see” whatever webpage you have open and answer questions about it. Click a button in the toolbar, and Gemini reads the page and converses with you – no separate search needed. It’s part of Google’s push toward more agentic AI—tools that actively participate in browsing, not just augment it. 

From a Web of Traffic to a Web of Mentions

As AI agents increasingly handle the heavy lifting of browsing and information-gathering, an unsettling question emerges: Who are we really marketing to online – human visitors or the algorithms that advise them? For years, digital marketing revolved around driving human traffic to websites. But some forward-looking SEO experts argue that we’re now shifting from a web of traffic to a web of mentions

In an era of AI-driven search, getting content in front of human eyeballs may matter less than making sure AI notices and references your brand. After all, Google’s AI systems can synthesize information from multiple sources to answer a single query. If your brand or content is consistently mentioned across those sources, the AI will pick up on it. 

This is a fundamental rethinking of SEO and content strategy. Instead of solely vying for a human’s attention on a page, marketers need to ensure their brands are ubiquitous in the data that AI reads. 

That means optimizing content for AI consumption: 

  • Structured data, which is easy to extract
  • Clear headings breaking down complex topics
  • Statistical data and actual citation accuracy – so algorithms can easily digest and trust your information. 
  • Comparative content so it becomes easier for users to make decisions

It also means cultivating brand presence across the broader digital ecosystem. Being featured in authoritative articles, industry roundups, and high-quality discussions is now doubly valuable: not only do these efforts earn human trust, but they also feed the AI’s knowledge graph. 

The payoff? When an AI assistant is asked for, say, the best wireless earbuds or a great family SUV, it’s your product that gets recommended in its synthesized answer. Some brands are already capitalizing on this. 

The Illusion of Choice Endures

Yet, even as AI agents become the ones consuming content and making recommendations, the end user is still human, and humans crave choice. No matter how smart the machine, people won’t simply book a flight or buy a house based on a single AI suggestion. We still want that sense of control, the feeling that we made the decision (or at least had options to consider). 

The travel industry offers a perfect case in point. Theoretically, an AI concierge could parse every travel option and instantly pick the optimal flight and hotel for you. But in practice, travelers today are doing more comparison shopping than ever. In 2024, the average traveler visited a staggering 277 web pages over 45 days before booking a trip, up from just 38 sites a decade prior. They hop between airline sites, OTAs, and review platforms in a feverish hunt for the best deal. Clearly, consumers still need to see the landscape for themselves – or at least feel like they did, and that’s where zero click search fails.

This psychological need for choice isn’t easily erased by convenience. There’s a deep-seated reward in evaluating alternatives and making one’s own selection. Even if an AI’s first suggestion is objectively the best, a traveler might still say, “Great – now what’s option B?” We’re wired to verify, to compare, to decide. Marketers should remember that trust is earned, not assumed; a consumer is unlikely to say “yes” to a high-stakes purchase (a luxury vacation, a new mortgage) without some sense of autonomy in the process.

The big tech players building these AI agents recognize this human dynamic. Expedia, for example, launched a beta AI travel planner named Romie to assist users in planning and booking trips with chat-based guidance. But critically, Expedia frames Romie as an optional assistant that you call on when you want. “We created an AI assistant with hyper-personalization in mind so that travelers can choose when they want Romie’s help on their own terms.” 

Designing for Algorithms and Humans

All of this leads to a new mandate for marketers: we have to design experiences that cater to two audiences at once. First, there’s the AI agent – the algorithmic intermediary that “reads” our websites, indexes our content, and vouches for (or against) our brand in its recommendations. Second, there’s the human being at the end of the journey, who will consume what the AI delivers and make the final call. Optimizing for one without the other is a losing strategy. 

What does that look like in practice? It starts with ensuring AI visibility. If an autonomous agent or AI-enhanced search is scouring the web for answers in your domain, your content must be accessible, relevant, and reputable. 

This means: 

  • Technical SEO matters more than ever: semantic HTML, schema markup, and well-structured content that an AI can parse and trust. 
  • Cultivating that “web of mentions”: being so present in your industry’s discourse that an AI can’t help but stumble across your brand. 

Marketers should treat AI agents almost like new influential users with their own quirky behaviors. They prefer content that’s structured and factual, they gravitate to brands mentioned by other trusted sources, and they’re quick to drop content that seems irrelevant or low-quality. In essence, if you impress the crawlers and the synthesizers, you increase the odds of making it into the AI’s shortlist of suggestions.

However, visibility in an AI’s eyes is only half the game. The other half is human psychology – ensuring that once the AI agent surfaces your brand, the flesh-and-blood customer is compelled to act. Remember, even the most advanced AI will eventually hand the baton back to the human for the actual decision (“Here are the top three options, which do you like?”). 

At that moment, your website, your messaging, and your value proposition need to seal the deal. The user might land on your site via an AI referral or hear your product name from a virtual assistant – but once they’re paying attention, it’s all you. This is where classic marketing chops come in: a frictionless user experience, social proof and reviews to instill confidence, pricing and offers that feel like a win, and brand storytelling that resonates emotionally. The AI can lead a horse to water; you still have to make it drink. The best marketers will find the sweet spot where algorithmic favor and human appeal intersect.

The Funnel Isn’t Dead—It’s Just Getting Interpreted by AI

Search intent still follows a funnel-shaped journey—but the rules at each stage are evolving fast thanks to AI.

Top-of-funnel queries like “What is a UX design?” are now prime territory for AI Overviews. These are low-intent, curiosity-driven searches. Users aren’t looking to buy—they just want a fast explanation. If your goal is conversions, don’t burn energy trying to rank here. AI has it covered. However, it may help to create some brand awareness.

Mid-Funnel searches—such as “Best careers after a UX course” or “UX bootcamp vs. self-taught”—signal curiosity and early research. These users aren’t buying yet, but they’re warming up. This is where strategic content shines. If your insights shape what AI says at this stage, you’re earning trust early and laying the groundwork for future action.

Bottom-Funnel queries— like “[Your brand] UX bootcamp reviews” or “Enroll in online UX course”—show clear purchase intent. These users are ready to act. They still want control, transparency, and maybe even a little reassurance. AI might serve up summaries, but when it comes to choosing where to invest their time and money, many still click through. You need to be there, front and center.

The key takeaway? The funnel didn’t vanish—it just got a new interpreter.

So, Should We Market to AI Agents? 

The answer is an emphatic yes, but not at the expense of marketing to people. We’ve entered an era where algorithms are the new power brokers, gateways to consumer attention. Ignoring them is not an option. But at the end of the day, those algorithms serve human desires and human decisions. The brands that thrive will be the ones that captivate the machine intelligences and the hearts and minds behind them. 

In a world where your next customer might indeed be an AI, remember: you ultimately win by convincing a human. The marketers who master this dual audience – making their content irresistible to AI agents while keeping the human decision-maker inspired and empowered – will own the future. And that future is arriving faster than anyone imagined.

Ready to Go Post-AI?

At Postdigitalist, we specialize in creating brands that are both searchable and mentionable—with case studies to prove it:

  • 🏥 250k monthly visitors for a healthcare directory
  • 📈 6k+ new keywords ranked for a SaaS brand
  • 🎓 +266% organic leads for an edtech startup
  • And more (but this blog post is long enough)

If you're ready to future-proof your brand in an AI-first world—without sacrificing human choice— book a free strategic workshop. We'll explore how this shift plays out for your brand, and how to position it as the obvious choice—for both algorithms and the people they influence.