AI search is rapidly changing how people discover content and interact with brands. A recent post by Logan Kilpatrick, Google’s lead product manager for AI products, hinted that “AI Mode” could soon become the default for Google Search. While Kilpatrick later clarified his remarks, the prospect raises significant questions for the SEO industry, especially with Google reporting over 100 million monthly active users already engaging with AI Mode. This potential shift signals a monumental change in how businesses achieve online visibility, drive traffic, and build trust.
Before delving into the potential implications, it is crucial to distinguish between AI Mode and AI Overviews, as they serve different functions within Google’s evolving search landscape.
Screenshot from X (Twitter), November 2025AI Overviews Versus AI Mode
AI Overviews are concise, AI-generated summaries that appear above traditional search results for specific queries. They aim to provide quick answers, saving users time by reducing the need to click on external links, which consequently lowers traffic to brands.
AI Mode, introduced on Google’s search page earlier this year, offers a more advanced and interactive search experience. It is designed to handle complex, multi-step, or open-ended questions by providing comprehensive, conversational AI-powered responses. Google’s intent with AI Mode is to retain its vast user base amidst the rise of other AI models, potentially replacing the standard search results page in the future.
What Could Happen If AI Mode Becomes Default?
A default shift to AI Mode would almost certainly lead to a significant decline in organic traffic for brands. Users, finding direct and comprehensive answers within the AI interface, would have less need to click through to external websites. This trend is already evident with AI Overviews, but a full transition to AI Mode would amplify the reduction in website clicks.
Brands May Rely More On Paid Visibility
Currently, AI Mode lacks advertising, presenting a monetization challenge for Google. However, this is set to change rapidly. Liz Reid, Google’s Head of Search, has outlined the company's strategy to integrate ads into its AI transition, crucial for sustaining its multi-billion-dollar advertising revenue, which reached $264.59 billion in 2024 according to Statista and continues to grow annually.
Screenshot from Statista, November 2025Google is already in the early stages of rolling out ads within AI Mode, focusing on high-quality and relevant placements. Liz Reid notes that AI Mode queries are typically two to three times longer than traditional searches, enabling more precise targeting and higher-quality ad delivery. This means brands willing to invest in paid visibility within AI Mode will gain a significant advantage, potentially leaving behind those solely reliant on conventional SEO strategies. Google has also already integrated advertisements into AI Overviews, indicating a clear path for monetization in AI Mode.
A Potential Shift In Visibility And Discovery
AI search is prompting a departure from traditional SEO metrics like keyword rankings and click-through rates, shifting focus towards brand visibility and relevance. For brands, the new imperative is to be cited as an authoritative source for AI answers; failure to achieve this visibility will result in lost clicks.
Measurement Challenges
Tracking the customer journey will become more complex as user interactions increasingly occur within the AI interface rather than directly on brand websites. Traditional analytics will offer diminished insights, compelling brands to develop new metrics centered on AI citations, brand mentions, and local visibility. This shift is already driving the emergence of specialized AI tools from established players like Semrush and Ahrefs, as well as newcomers such as PeecAI and Profound.
Loss Of Control Over Brand Narrative
As AI Overviews synthesize information from diverse online sources to construct a brand's presence, an inconsistent, outdated, or poorly managed online narrative—spanning reviews, social signals, and local listings—risks inaccurate representation by AI across the web. A robust brand strategy is therefore more critical than ever.
What Could Potentially Happen To Google Chrome?
Should AI Mode become Google's default, its Chrome browser could see a significant transformation. Deep integration with Gemini and other AI capabilities would evolve Chrome from a passive browsing tool into a proactive, intelligent assistant. This move is timely, as eMarketer reports Gemini is already outpacing ChatGPT in user base growth.
Screenshot from eMarketer, November 2025Adding to the competitive landscape, OpenAI has launched ChatGPT Atlas, an AI browser currently exclusive to macOS, directly challenging Google Chrome's dominance.

Similar News

Google's Year in Search 2025: Key Trends & Insights
Google's annual 'Year in Search' report for 2025 offers a comprehensive look at the year's most popular search trends, providing crucial insights for marketers and a fascinating glimpse into global interests.

AI Chatbots: Optimizing for Product Recommendations
The rise of AI chatbots like ChatGPT is fundamentally altering how consumers discover products and services online. This article explores the significant shift in digital discovery driven by AI and outlines how brands can adapt their SEO strategies to ensure their products are recommended by these powerful new tools, leveraging insights from industry leaders like SEMRush.

The Future of SEO: What 2026 Will Really Look Like
This article explores the dramatic shift in SEO, marking the end of Google's traditional search era. It outlines critical trends for 2026, emphasizing how AI, fragmented discovery channels, and evolving user behavior demand new, human-centric strategies for marketers to succeed.

Marketers Misunderstand Evolving Loyalty Drivers, Report Finds
A recent report highlights a significant disconnect between marketers' perceptions of brand loyalty and actual consumer motivations, emphasizing pragmatic drivers over emotional connections.

Mastering Learning Periods in Digital Ad Campaigns
This article demystifies learning periods in digital advertising, explaining how ad platforms optimize campaigns and offering strategies for marketers to navigate these crucial phases effectively.




