The era of Google as the default starting point for product discovery is ending faster than most realize. At a gathering of 35 senior marketing leaders in Boston this week, only 11% predicted that Google search will remain their customers' primary way to find products by 2028. Instead, 71% named AI assistants as the primary discovery channel, a finding that reflects a fundamental shift already underway in how brands compete for visibility.

This is not speculation or wishful thinking from early adopters. These are working marketers with real budget authority at companies ranging from 51 to 1,000 employees, the tier that quietly reshapes category economics before analyst reports catch up. Their spending patterns confirm the shift is real: 80% said they are increasing or starting a budget for AI search visibility next year, and 29% are pulling those dollars directly out of paid media.

What Is Driving the Shift Away From Google?

The erosion of organic search traffic tells part of the story. Among the marketers surveyed, 43% reported that organic traffic declined between 10% and 25% this year, with no respondent reporting a larger drop. The decline is real but not yet catastrophic, which is exactly the window in which budget reallocations happen without requiring a crisis to justify them.

The role of AI assistants in customer discovery has become impossible to ignore. Two-thirds of respondents took on new AI responsibilities within their existing job descriptions, and 80% said AI dominated hallway conversation at their organizations. Of that discussion, 49% focused specifically on AI search and answer engine optimization, while 31% centered on AI agents.

The platforms reshaping this landscape include ChatGPT, Google AI Overviews, and Perplexity, among others. These tools are becoming the new front door for product discovery, and marketers are racing to understand how to get their brands cited when customers ask these systems for recommendations.

How Are Marketers Optimizing for AI Answer Engines?

A new discipline is emerging: generative engine optimization, or GEO. This involves the technical, content, and citation work needed to ensure a brand appears when AI systems generate answers to customer questions. The mechanics of what gets cited are becoming legible through data analysis. A study of nearly 24,000 brand and e-commerce URLs found that 59% of AI-cited product detail pages carry 100 or more customer reviews, 92% hold four stars or higher, and 65% display a review summary at the top.

The citation question is becoming as important to marketers as front-page placement once was in earned media. Among respondents, 69% already check regularly whether AI answers cite their company, with 43% using dedicated tools and 46% monitoring manually.

Specialized services are emerging to help brands navigate this new landscape. Vydhai, an AI-first dental marketing agency, recently launched an AI Visibility and Generative Engine Optimization service designed to help dental practices get named and recommended when patients ask AI assistants for dentist recommendations. The service includes a free AI Visibility Audit, structured data and content optimization, and ongoing monitoring across ChatGPT, Perplexity, Gemini, and Google AI Overviews.

Steps to Prepare Your Brand for AI-Driven Discovery

• Audit Your Current Visibility: Determine how your brand appears across major AI assistants like ChatGPT, Perplexity, and Google AI Overviews by testing real customer prompts your audience would use.
• Build Review and Citation Infrastructure: Ensure your product pages carry substantial customer reviews, maintain high ratings, and display review summaries prominently, as these signals drive AI citations.
• Implement Generative Engine Optimization: Structure your content and metadata to be readable by AI systems, focusing on clarity and factual accuracy rather than keyword density.
• Monitor and Measure Impact: Track how often your brand is cited across AI platforms and measure the return on investment, which 43% of marketers named as their top concern for the coming year.

What Does This Mean for Marketing Teams?

The shift is reshaping how marketing teams allocate resources and define success. Among the surveyed marketers, 91% said their role changed in the past 12 months, reflecting the rapid evolution of the discipline. The focus on AI search and answer engine optimization signals that the next generation of marketing work will involve optimizing for systems that synthesize information rather than ranking individual pages.

Consumer behavior is reinforcing this trend. A survey of more than 1,700 adults found that 62% report higher trust in AI recommendations than six months earlier, and 57% say it is very important to know that an AI tool sourced its recommendation from real customer reviews and photos.

The broader marketing technology landscape is responding to this shift. Profound, a platform that started as an analytics tool for tracking brand visibility in AI-powered search engines, has expanded into a full agent orchestrator for marketing teams. The company raised $180 million in Series D funding at a $1.8 billion valuation, signaling investor conviction that AI is fundamentally reshaping how marketing teams operate. More than 1,000 enterprise brands, including Walmart and Comcast, now use the platform.

Profound's trajectory mirrors the broader shift: AI is moving from a measurement and analytics tool into something that performs actual marketing work. The platform's agent orchestrator model suggests a future where marketing teams manage constellations of specialized AI sub-agents rather than executing every task manually.

The window for adaptation is narrowing. With 80% of marketers already increasing budgets for AI search visibility and 29% pulling dollars directly from paid media, the competitive advantage will go to brands that understand how to earn visibility in AI answer engines before the shift becomes universal.