For almost three decades, Google Search has been the primary gateway to information on the internet. It shaped how people learn, buy and make decisions, and it created one of the most influential commercial ecosystems of the digital era. That stability is now giving way to a period of significant transition. AI driven assistants, answer engines and conversational interfaces are reshaping user expectations, and Google is attempting the most ambitious reinvention of Search since its creation.
In a recent interview on the Wall Street Journal’s Bold Names podcast (WSJ interview with Liz Reid, VP and Head of Google Search), Liz Reid described this moment as the most profound transformation the product has ever faced. Her comments offer a rare window into how Google understands these changes and how it intends to rebuild Search for an era in which AI is no longer an internal ranking tool but a central part of the user experience.
This article explores the implications of that conversation and outlines how brands should think about visibility, content, format strategy and trust as Google navigates one of the most significant competitive challenges in its history.
A Historic Moment for Google Search
Reid describes the current shift as more consequential than the move to mobile, because AI changes the nature of information itself. Google’s early experiments with AI were built into ranking and language understanding, but today AI is becoming a visible part of how people search, compare and evaluate content.
According to Reid, AI will expand search behaviour rather than replace it. The easier it becomes to ask a question, the more questions users ask. Google believes that this dynamic will increase overall search volume, even as the structure of queries becomes more conversational and complex.
For brands, this means that discovery will remain strong, but visibility will depend on clarity, depth and adaptability across AI-assisted environments.
How AI Is Changing the Way People Search
The WSJ interview reveals several user behaviour shifts that are already shaping search journeys.
Users are becoming more comfortable expressing detailed queries using natural language. They expect the system to infer intent rather than rely on keywords. This shift favours content that is structured, semantically clear and grounded in verifiable facts.
Search is also becoming more multimodal. Tools such as Google Lens lower the friction required to ask a question, which leads to higher overall engagement. According to Reid, the fewer steps required to get an answer, the more likely users are to explore topics they would previously have ignored.
Another important change is the move toward short form video, community content and creator-driven insights, particularly among younger audiences. Google has been adjusting ranking systems to reflect what users gravitate toward. This does not replace traditional publishers, but it creates a broader landscape of voices.These shifts indicate a future in which search is guided by AI, interpreted across multiple formats, and navigated through conversational prompts rather than traditional queries.
AI Overviews and the Future of Information Presentation
Google’s introduction of AI Overviews marks a clear restructuring of how results are presented. Instead of immediately listing links, Google offers an initial layer of context before leading users deeper into the web. Reid notes that users still value exploration and that AI is intended to complement, not replace, human-authored information.
Reid acknowledges the concern that publishers may lose traffic in this new model. However, she states that overall query volume increases when results are easier to navigate, which offsets structural changes in where clicks occur. Some publishers experience volatility, but the system is evolving as AI and user behaviour mature.
For brands, this reinforces the need to provide information that offers more depth and insight than what the overview summarises.
The Changing Role of Content Quality
Perhaps the most important signal from Reid is Google’s updated understanding of content quality. The company is focusing on identifying and reducing low value, repetitive or shallow content, especially where AI is used without human oversight.
Reid emphasises that AI generated content is not inherently poor quality, but content must deliver genuine insight, originality or expertise. Users who click expect to find substance, personality and meaningful detail, not a rephrased version of what appears in the summary.
This shift strengthens the importance of authoritative writing, data-driven insight, expert contributors and content that demonstrates real experience. It reduces the visibility of mass-produced articles, regardless of whether they were created by humans or AI.
Brands that rely on scale alone will face diminishing returns, while those that focus on quality, structure and clarity will outperform.
Broad Competition and Google’s Position in the AI Landscape
Reid acknowledges stronger competition from entrants like ChatGPT and Perplexity. But she maintains that the future of information will not be purely chatbot driven. Users still want context from real people and trusted sources. Search, in Google’s view, remains the most efficient way to connect these perspectives with user intent.
Google expects the total volume of information seeking to continue expanding. Lower friction increases curiosity, and curiosity increases search activity. This dynamic underpins Google’s confidence in its long term relevance.
What This Means for Your Brand
Google’s shift toward AI mediated discovery creates a more complex environment for brands. Visibility, accuracy and differentiation now depend on how well organisations manage information across every channel and format. While this introduces new responsibilities, it also presents an opportunity to strengthen digital foundations with the support of experienced partners.
Create a Unified and Consistent Information Footprint
AI Overviews pull from multiple sources simultaneously. If product details, claims or brand narratives differ across platforms, the AI summary becomes inconsistent or inaccurate. Maintaining coherence across websites, feeds, listings and third party platforms is becoming essential.
A digital marketing agency can help by auditing the brand’s entire public information footprint, identifying conflicting signals and designing the structures required to keep data aligned. This ensures that AI systems can draw from clear, accurate and easily verifiable information.
Develop Content That Demonstrates Real Expertise
Users who move beyond an AI overview expect depth, originality and credible insight. Google is increasingly rewarding content that reflects expert knowledge and genuine value, while reducing visibility for derivative or surface level material.
Agencies can support this shift by helping brands identify their core areas of authority, create editorial frameworks and produce in depth resources such as expert guides, research based articles, long form content and high quality video assets. This strengthens both human and AI mediated visibility.
Adapt to Evolving Format Preferences Across Audiences
Search behaviour now spans multiple formats. Short form video, UGC, long form essays and community driven content are becoming more influential, particularly for younger audiences. Google is already adjusting its ranking systems to elevate the formats users prefer.
A digital marketing agency can help brands diversify their presence across formats. This might include developing a video strategy, optimising content for emerging answer engines, refining long form content or designing creator collaborations that align with user expectations. The aim is to ensure the brand appears where audiences naturally search and explore.
Monitor How AI Represents the Brand and Strengthen Governance
As AI summaries become increasingly visible, brands must understand how they are being interpreted. Monitoring how AI surfaces describe products, services and value propositions is now part of routine digital oversight.
Agencies can support this through structured reviews, metadata optimisation, schema improvements and processes that ensure information remains current, accurate and aligned with brand positioning. This helps prevent outdated or misleading descriptions from shaping user perception.
Operate With a More Disciplined and Strategic Information Model
Google’s evolution requires brands to move beyond high volume content tactics and adopt a more disciplined, coherent and strategically governed information model. Accuracy, consistency and depth now have greater influence on visibility than scale alone.
A digital marketing agency provides the frameworks, editorial quality controls and technical foundations required to operate effectively in this environment. With structured governance and ongoing optimisation, brands can maintain stronger accuracy, clearer authority and more resilient long term visibility.
Final Takeaway and How GA Can Support Your Next Step
The most important lesson from Google’s shift toward AI-mediated search is that brands can no longer rely on traditional SEO alone. Visibility now depends on how accurately AI systems interpret your information, how consistently your brand is represented across the web and how well your content aligns with emerging formats such as AI Overviews, conversational answers and multimodal search journeys. Expert-led content, authoritative signals and disciplined information architecture are now essential for maintaining trust and competitiveness.
If you want to stay ahead of these changes, we can help. As specialists in Answer Engine Optimisation and Generative Engine Optimisation, we support brands in strengthening their information foundations, improving factual consistency across platforms and preparing content for AI-driven retrieval.
Contact us to discuss how we can help you protect and grow your visibility in an environment where AI is becoming the primary gateway to information.
Article author
Chiara Riva
Business Development Assistant
