Google I/O 2025 wasn’t just a product launch. It marked a structural shift in how people discover, understand, and act on information. With AI Mode in Search, Google has transitioned from a search engine to a cognitive interface—one that understands, anticipates, and even completes tasks for users.
That means for marketers, SEO specialists, PR professionals, and digital strategists alike, the rules are changing. Here’s what you need to know.
The customer journey: From passive search to intelligent assistance
AI Mode enables deeply conversational, personalised, and proactive interactions. Users are no longer just typing keywords; they’re engaging in dialogues, sometimes across modalities like voice or visuals. And they’re taking action, such as buying products, tracking prices, and comparing information, all of this inside the search environment itself.
Now it matters because discovery, consideration, and conversion are happening within a single interface. As a result, product research and brand comparisons are increasingly invisible to marketers, and platforms shift from being guides to becoming destinations.
Your move should be to treat Google’s AI as a partner, not a pass-through. Feed it clean, structured, high-quality data so it can represent your brand in the moments that matter.
Your move should be to treat Google’s AI as a partner, not a pass-through. Feed it clean, structured, high-quality data so it can represent your brand in the moments that matter.
Your website is a data source, not a journey
What's suddenly changing is that traditional traffic metrics (pageviews, bounce rate, etc.) will become less representative of true engagement as AI-generated visits continue to scrape or summarise your content. So, structured, crawlable, credible content is now the currency of visibility.
Your tactic should be to monitor server logs and traffic anomalies to identify when AI platforms crawl or reference your site. Treat your website as an AI knowledge base, structured for clear comprehension, context, and credibility. Consider how your app or platform can be API-accessible or integrated into AI ecosystems (e.g., product feeds, structured markup, plugins).
Visibility without clicks
One of the more disorienting challenges for marketers is the decoupling of visibility from traffic. In an AI-driven environment, your brand might dominate in consumer awareness—without the corresponding spike in web visits. Users may compare prices, explore features, and even complete a purchase journey entirely within Google's ecosystem.
This makes traditional metrics like bounce rate, time on site, and even conversions less reliable as indicators of success. Instead, brand health may depend on how often you're referenced by AI, how your offering appears in AI-generated summaries, or whether your product is selectable in a voice-driven shopping flow.
In other words, traffic is no longer proof of relevance. Participation is and marketing must happen inside the interface.
Ensuring your products are visually rich, structured for machine interpretation, and available via shopping feeds or APIs will be critical. Integrations with visual try-ons, virtual agents, or even generative product explainers are emerging as the new battlegrounds for digital shelf space.
The PR implication: You’re managing machine perception
Public relations professionals also face new demands. AI-generated summaries are becoming the first impression users see, often before reading any traditional article or press release. If outdated content, inaccurate reviews, or unchecked misinformation are what the AI scrapes, they’ll become part of your brand narrative by default.
So media credibility and structure are more important than ever. Well-structured press materials, FAQ-style responses, and expert commentaries can serve as trustworthy signals for AI systems sourcing information. PR’s role now extends beyond human audiences to the machines that summarise us.
What should APAC marketers do?
In the Asia-Pacific region, AI Mode is still in its early rollout phase, available in limited capacity via Search Labs. But if history is a guide, features like this tend to scale quickly. AI Overviews, for example, are already live in more than 100 countries.
That makes now the moment to experiment, audit, and adapt.
First, redefine what success looks like. Add AI bot tracking, data feed integration, and visibility audits to your analytics stack. Second, diversify your acquisition strategy. As dependency on Google increases, so does the risk, so build stronger owned channels like email, SMS, and community platforms. Third, shift content priorities to clear, structured, and multimedia-ready that will outperform bloated, SEO-stuffed legacy formats.
The challenge for brands is no longer just to be found. It’s to be understood—and to be useful—in an ecosystem where machines mediate meaning.
Shaad Hamid is the general manager of Singapore and regional head of performance, GrowthOps Asia.
