Welcome to the Zero-Click World of AI Search

For over two decades, digital marketing has operated on a simple, foundational premise: good SEO drives clicks. The rapid integrations and changes to online search have now irrevocably changed that. AI Search has created a Glass Funnel around the user journey that traditional SEO tactics can’t touch. This is the Zero-Click World.

This reality has been confirmed in multiple studies on AIO, AI Search, and Google’s AI Mode. These studies confirm what was suspected. For example, in Google’s AI Mode, the median number of clicks to external websites per task is ZERO.

The Glass Funnel of AI-Assisted Search Engines

Welcome to the zero-click world! “Zero-click search” is a phenomenon where users no longer need to leave Google to complete their online search. Studies have already demonstrated this reality. Most users complete the entire “consideration and comparison” phase of the user journey inside Google without ever clicking to another website.

This is the Glass Funnel of AI Search created by platforms like Google’s AI Mode and ChatGPT. The Glass Funnel effectively makes many fundamental SEO strategies obsolete and raises new challenges for digital marketers to reach users.

What is the ‘Glass Funnel’?

AI-assisted search is continuing to replace traditional search engines. By doing so, it has created the Glass Funnel responsible for zero-click search.

Why a “Glass Funnel”? The Glass Funnel is a metaphor for the dynamic between digital marketers and AI search. Imagine a clear glass funnel full of oil. You can see the oil clearly through the glass, but your hand is dry since you couldn’t touch the oil.

Similarly, digital marketers can “see” AI user search queries and the answers/responses the user receives from the AI. But we can only see, not touch. By containing the search experience to a single platform, Google has encased the user journey and search experience in glass. Influencing the search experience is difficult and removes the focus on rankings. Generating clicks in a ‘clickless world’ can get tricky.

High-quality informational content optimized for SEO has been a top content strategy. Businesses have hired and trained teams of copywriters for that purpose. The Glass Funnel of AI Search requires digital marketers and SEO professionals to fundamentally pivot from SEO tactics. Influencing the user “through the glass” will be the only game that matters.

User Search Behavior with AI Mode & AI Overviews

The Glass Funnel is going nowhere. Google has been explicit that this is the future of online search. Robby Stein, Google’s VP of Product, recently discussed his vision. AI Overviews, Multimodal Search (like Google Lens), and Google’s AI Mode will integrate into a single, unified interface. Stein described this inevitability as an interactive “brain” that users can easily converse with to obtain information.

Stein’s comments reframe the fundamental nature of online search as a destination for answers, not a directory of links. User behavior already provides startling validation of this.

AI Mode is a Destination

One study demonstrates the reality of this search experience within Google’s AI Mode. Data shows that users are highly engaged within the AI experience, with median dwell times ranging from 52 to 77 seconds (depending on the task type). In roughly three-quarters of all sessions, users never left the AI Mode pane at all. This is more than double the engagement time seen in AI Overviews (AIOs). That indicates a much deeper, more contained user session.

Decisions Precede Clicks

Studies continue to confirm that clicks are now a bottom-of-funnel, transactional event. The core of content marketing — informational and comparison-based search queries — are now almost entirely consumed within AI Mode.

In a study, comparison queries like “Oura Ring vs Apple Watch” generated almost no user exits from AI Mode. The vast majority of clicks out of AI Mode were driven only by transactional (shopping) queries like “canvas bag”. Users form their opinions and make their brand judgments first. Subsequently, they only leave AI Mode once ready to make their purchase.

Answer Engine Optimization (AEO) & Generative Engine Optimization (GEO)

Stein claimed that Answer Engine Optimization (AEO) is still SEO “at it’s core.” He continued, saying that AI search will always rely on “traditional search mechanics.” He explained that when determining the sources to use, the AI performs a “query fan-out”. A “query fan-out” is where the AI issues dozens of background searches and evaluates the content. This is where traditional SEO hangs on as it still looks for established signals of quality, originality, and helpfulness. 

Instead, I would argue instead that the Glass Funnel and zero-click search has deprecated SEO as a discipline. Most claims to the contrary use very loose definitions for “SEO”. The Glass Funnel requires a new facet of digital marketing to effectively get your brand in front of users. Clearly, both AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) are critical to success.

The goal for digital marketers is no longer to be the most clickable link on search engine result pages (SERPs). Instead, the goal is being the definitive and citable source that AI uses when it looks for authoritative sources.

Marketing Agencies, AI SEO, and the Glass Funnel

The shift from a click-based to an influence-based web marketing model is happening rapidly. Subsequently, many digital marketing agencies have struggled to keep pace. Businesses should prepare for these fundamental changes in online search to reshape agency models and client expectations.

Collapse of Traffic-Based Services

SEO buzz-phrases like “organic session growth” and “keyword rankings” aren’t enough anymore. Agencies need to evolve their services and marketing. Otherwise, the agency is selling a product with a rapidly expiring shelf life.

When a client’s target MOFU queries cause a 90% reduction in traffic because users get their answers from AI Mode, how do you justify your value? The entire model for SEO agencies, built on the ‘currency of the click’, is becoming more obsolete each day. Shift the focus to online brand presence and AI Search influence to continue providing value to clients.

SEO Attribution Black Hole

The Glass Funnel and zero-click searches have created an attribution problem for analytical analyses, adding another challenge. For example:

A user might query “best project management software for small teams.” The results are an AI-generated comparison that favorably cites your business’s product based on a review on PCMag. Two hours later, the user goes directly to your website for the transaction. In this scenario, last-click attribution would misleadingly label this as a “direct” conversion.

The Glass Funnel makes it impossible to accurately track conversion correlation. It removes key data whose insights previously made conversion strategies more effective. To regain a semblance of that data, agencies will have to rely on supplements. These supplements might include brand-lift studies, sophisticated market mix modeling, and qualitative analyses to gauge and prove their impact. However, this will be a far cry from the precision tracking of the traditional user journey within Google Analytics.

Rise of Brand-Centric SEO

Our new era dominated by AI search demands a new type of SEO professional: Digital Decision Architects. 

Digital Decision Architects are ‘hybrid’ digital marketing specialists who will need to merge skillsets. For example, these skills will draw from brand strategy, AI and LLM behavior, user psychology, and technical SEO expertise. The job of Digital Decision Architects isn’t to figure out how to rank pages in SERPs. They need to understand the user’s decision-making journey and how to optimize content for both AI and human readers.

Digital Decision Architect make sure users see a brand or business within the Glass Funnel. Indeed, the main strength of a Digital Decision Architects is showcasing a brand at crucial moments of interaction.

AI Search: Digital Decision Optimization

To survive the rise of zero-click search, digital marketers need a novel strategic framework beyond SEO. Consequently, a successful framework must be designed to win decisions, not acquire clicks. Called Digital Decision Optimization, this new strategy is based on mapping the “Decision Points” within the user’s Glass Funnel journey.

Step 1: Deconstruct the Decision Points

Forget the focus on broad keywords. The first step in Digital Decision Optimization is to map your target user’s journey into a series of Decision Points. Decision Points are the specific, critical questions the user must answer to move them from consideration to preference.

The following are examples of common Decision Points mapped as part of Digital Decision Optimization:

• Comparison: Involves comparing different brands and models to determine which offers superior features for particular needs. For instance, a runner might ask: “Is the Hoka Clifton’s cushioning better than the Brooks Ghost for long-distance running?”
• Validation: Consumers frequently seek validation from experienced users or experts to confirm the expected performance and durability of a product. A relevant question could be: “What do marathon runners say about the durability of the Saucony Endorphin Speed?”
• Objection Handling: Understanding common complaints about a product helps consumers set realistic expectations and make a more confident decision. An example of this type of inquiry is: “What is the biggest complaint about the New Balance 1080?”

The specific Decision Points to map will vary depending on the business/agency/website, product or service, and the target users. 

Step 2: Engineer Citation-Ready Content

It’s time to shift from long-form content to modular, citation-ready assets designed to answer the questions from our Decision Points. Furthermore, these assets must be concise, authoritative, and easily verifiable to be cited in an AI search.

Example: E-commerce Brand (Running Shoes)

For an e-commerce brand selling running shoes, create a dedicated page titled “Running Shoe Technical Specification Database.” This is better than a 3,000-word “Ultimate Guide to Running Shoes.” The new page should contain a highly structured table with sortable columns to optimize it for AI.

This is not meant for long-form reading. It’s a data source for when a user asks an AI, “Which shoe has a lower heel drop?”

Example: B2B SaaS (Project Management)

For example, a B2B SaaS company in project management could create a specific, citable case study URL like yoursite.com/case-studies/acme-corp-efficiency. The H1 should be “Acme Corp. Reduced Project Overrun by 22%.” The page should contain a single, powerful chart and a block-quoted testimonial from the Acme VP.

When Google’s AI search searches “which software is best for reducing project overrun,” this verifiable, data-backed claim is positioned perfectly.

Step 3: Win the ‘Site Type’ Battle

Google’s AI already has a clear bias for what type of site it trusts for different intents, for example:

• Product comparisons ([Ramp vs Brex]): the AI heavily favored Review sites (83% of citations).
• Direct shopping queries ([Canvas Bag]), it favored Brands and Marketplaces (93% combined).
• Reputation queries ([Liquid Death]), it split between the Brand site and Publishers like Reddit and YouTube.

Your strategy must account for this. If your Decision Point is comparison-focused, your primary tactic might be a targeted digital PR and outreach campaign. The goal is to get your citation-ready content into trusted domains that the AI is already programmed to look for.

AI Search and the Zero-Sum Game

Traditional click-based SEO models are becoming obsolete in the era of the Glass Funnel and Zero-Click Search. This is a new, contained environment where users complete the entire evaluation and decision process inside Google’s walls.

The battle is no longer for traffic volume. Instead, the battle is for the decision itself. Winning this new reality demands abandoning the focus on broad keywords. Recognize that success now lies in influencing the user through the glass barrier.