The landscape of Search Engine Optimization (SEO) is undergoing its most profound shift since the inception of modern search engines. With the rapid integration of artificial intelligence into search results, publishers, content creators, and digital marketers are left asking a critical question: How do we survive—and thrive—when AI can instantly summarize the web?
A clear answer to this question emerged at Google Marketing Live 2026. During a fireside chat with Semafor editor-in-chief Ben Smith, Nick Fox, Google’s Senior Vice President of Knowledge & Information, shed light on how the search giant views the future of content. His message was unambiguous: to stand out in an era dominated by AI summaries, content must go beyond surface-level answers and dive significantly deeper.
For those looking to future-proof their digital presence, understanding Fox’s insights is not just helpful—it is essential for survival.
The Core Philosophy: Good SEO Remains Unchanged, But the Bar Has Been Raised
As AI-powered search engines become the default interface for millions of users, many search marketers have worried that traditional optimization strategies are completely obsolete. However, Fox offered reassurance that the foundational principles of search engine optimization remain intact.
“The way to optimize for AI search is the same way to optimize for search,” Fox noted. “Create great content.”
While this might sound like a familiar refrain from Google’s webmaster guidelines of the past decade, the definition of “great content” has fundamentally evolved. In the pre-AI era, great content often meant well-structured, comprehensive articles that answered a specific keyword query better than the competition. Today, Google’s AI algorithms can synthesize dozens of these standard articles in seconds, presenting a neat summary directly on the search engine results page (SERP).
Consequently, the baseline for what constitutes acceptable content has shifted. Simply compiling readily available information is no longer enough to win organic traffic. Creators must raise their standards to deliver value that an AI cannot generate on its own.
Going Beyond the Surface: Navigating the Layers of Information
The core of Fox’s advice revolves around the concept of informational depth. He suggested that creators look at search queries as multi-layered problems.
“The additional piece of advice we give is go beyond the surface level,” Fox explained. “If you assume that the AI will provide sort of a first-level response, high-level framing, the best content that will do the best within AI is one that goes one level deeper, two levels deeper, and is really helpful there.”
The Three Layers of Content
To put Fox’s advice into practice, it helps to visualize search intent as a three-layered pyramid:
- Layer 1: The Surface Level (The “What”). This layer covers basic definitions, high-level overviews, and simple factual answers. For example, “What is a mechanical keyboard?” AI search summaries excel at resolving these queries instantly, meaning websites relying solely on Layer 1 content will likely experience a significant drop in organic clicks.
- Layer 2: The Deep Dive (The “How” and “Why”). This layer explores the nuances, technical specifications, and comparative analyses. For instance, “How does mechanical keyboard switch actuation force affect typing fatigue over an eight-hour workday?” This requires specialized knowledge and detailed explanation.
- Layer 3: The Experiential Level (The Human Element). This layer focuses on real-world application, personal experimentation, and subjective nuances. For example, “What it actually feels like to transition from Cherry MX Blue to Gateron Brown switches for daily coding, including the unexpected learning curve and sound profile differences in a quiet office environment.”
By structuring content to target Layers 2 and 3, publishers position themselves as the necessary “next step” for searchers. Once the AI summary satisfies the user’s initial curiosity, the user will click through to websites that offer the deep, authoritative insights that the AI lacks.
How Google Measures “Depth”
Interestingly, Fox did not elaborate on the specific algorithmic mechanisms Google uses to measure “deeper” content or how its systems separate genuinely useful depth from bloated, wordy web pages. Historically, Google has warned against writing long-form content just for the sake of word count.
It is highly likely that Google evaluates depth through user engagement signals, semantic richness, the presence of original data, and the integration of diverse media (such as custom diagrams, video demonstrations, and unique audio) that indicate a thorough exploration of a topic.
The Decline of “Commodity Content” and the Rise of E-E-A-T
Fox’s insights align closely with Google’s new AI search guidance, which actively discourages the production of what it terms “commodity” content.
Commodity content refers to articles that simply repeat facts, rewrite existing listicles, or summarize basic information without adding any unique perspective, original research, or primary analysis. Because generative AI models are trained on this exact type of public data, they can reproduce it instantly and at zero cost to the searcher. Consequently, Google has warned that web pages relying on commodity content add “little unique insight” and are unlikely to be featured prominently in search results.
The Value of Human Experience
To combat the rise of AI-generated noise, Google is leaning heavily into the “E” for “Experience” in its E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) framework.
During his conversation with Ben Smith, Fox emphasized that human-centric content remains irreplaceable:
“If you’re looking to buy something, you don’t just want to hear what the AI says. You want to hear someone that’s used it. What did they think? What went wrong with it? What was amazing about it? How did they—what accessories did they get? You know, all of that kind of rich human content.”
He added a fundamental truth about user psychology: “As humans we want to hear from humans. We want to hear human perspectives. We want to hear human experiences.”
This means that review sites, tech blogs, and tutorial publishers must pivot away from dry spec sheets. Instead, they should focus on firsthand testing, highlighting personal pain points, sharing unexpected discoveries, and detailing the real-world utility of products or services. If you are writing a product review, do not just list the features; explain how the product performed during a three-week trial, complete with original photography and raw, unedited observations.
The Changing Nature of Search: Long-Tail Queries Become Conversational
Another critical takeaway from Fox’s interview is the dramatic shift in how everyday users interact with search engines. As people become more comfortable talking to conversational AI assistants, their search behavior is shifting away from fragmented keywords toward natural, conversational phrases.
“The questions that people are asking now are these two-, three-, four-sentence queries,” Fox observed.
Instead of searching for “best hiking boots,” a modern searcher might type or speak a highly specific, contextual prompt: *”I am planning a five-day backpacking trip in the Pacific Northwest during a rainy autumn. I have flat feet and need boots with excellent ankle support that won’t feel too heavy. What are my best options under $200?”*
This level of specificity changes the game for content strategy. Broad keyword targeting is losing its efficacy. To capture these highly targeted, multi-sentence queries, publishers must create content that addresses complex, multi-variable scenarios. This involves mapping out detailed user personas and writing comprehensive guides that address specific pain points, environments, budgets, and constraints simultaneously.
The Traffic Paradox: A Serious Concern for Publishers
While Fox outlined a clear path forward for content creation, his interview left a glaring issue unaddressed: the potential drop in organic search traffic.
Many digital publishers argue that Google’s strategy is inherently self-serving. By encouraging publishers to invest more time, money, and effort into creating deep, original, and highly researched content, Google secures a high-quality data pool to train and feed its AI search models. However, because AI summaries are designed to satisfy user intent directly on the SERP, the incentive for users to click through to the source website is drastically reduced.
This friction has led some industry experts to label Google’s AI search guidance as naive and self-serving. If creators cannot monetize their deep-dive content through web traffic, ad impressions, or affiliate clicks, the financial viability of producing high-quality web content could collapse, leaving the internet starved of the very human perspectives Google claims to value.
For a complete look at the discussion, you can watch the full interview below:
Actionable Strategies for the AI Search Era
To align your content strategy with Google’s evolving algorithms and the expectations outlined by Nick Fox, consider implementing the following practices:
1. Conduct Primary Research and Original Reporting
Stop rewriting what is already on the first page of Google. Instead, conduct surveys, interview industry experts, analyze proprietary data, or run original experiments. Publishing findings that exist nowhere else on the web guarantees that your content is “one level deeper” than what an AI can synthesize.
2. Double Down on First-Person Narratives
Incorporate “I” and “we” into your writing when discussing product testing, troubleshooting, or case studies. Share real anecdotes, failure stories, and triumphs. Let your audience know that there is a living, breathing human behind the screen who has actually done the work.
3. Optimize for Multi-Sentence Queries
Structure your articles to answer complex, compound questions. Use clear headings (H2s and H3s) that reflect highly specific user scenarios. Incorporate long-tail conversational phrasing naturally throughout your content, ensuring that your page is the perfect match for highly detailed search inputs.
4. Diversify Your Media Formats
AI models are incredibly proficient with text, but they still struggle to replicate the value of original multimedia. Embed high-quality, custom-made videos, detailed infographics, audio snippets, and exclusive photography within your articles to demonstrate true authority and provide a superior user experience.
5. Build a Direct Relationship with Your Audience
Because search engine traffic may become more volatile, rely less on search engines as your sole source of audience acquisition. Build robust email newsletters, foster active community forums, and establish a strong presence on social platforms where your human perspective can shine without an algorithmic intermediary.
The rise of AI search is not the death of content creation; it is the death of mediocre, repetitive writing. By embracing depth, prioritizing human experience, and adapting to conversational search patterns, creators can build resilient brands that thrive alongside generative AI.