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Projected Shifts in Search Behavior (2026)
The impact of AI on traditional search engine usage and user preference.
Primary Sources
Why Brands Need More Than SEO to Win in Answer Engines
Search behavior has changed faster than most brands have changed their content strategy. Bain & Company found that about 80% of consumers rely on zero-click results in at least 40% of their searches, and about 60% of searches now end without the user progressing to another site. In Pew Research Center’s analysis of Google activity from March 2025, users clicked a traditional search result in 8% of visits when an AI summary appeared, versus 15% when one did not, and AI summaries showed up on 18% of the Google searches in the dataset. Gartner has forecast that traditional search engine volume will drop 25% by 2026. The shift is already underway, and it is changing how brands are discovered, evaluated, and selected. (Bain) That is why AI Search Optimization matters now. At RDA, we see it as an extension of strong SEO, not a replacement for it: a unified approach that helps brands move from simply being found to being interpreted, cited, and surfaced inside answer engines. In other words, the goal is no longer just ranking for a keyword. The goal is becoming part of the answer a buyer sees first. Traditional SEO still matters, but it is no longer enough SEO remains foundational because answer engines still depend on the open web. They need crawlable pages, technically sound sites, credible entities, and content they can parse with confidence. But the discovery model has changed. McKinsey reports that 44% of AI-powered search users already say it is their primary and preferred source of insight, ahead of traditional search, and that a brand’s own site often makes up only 5% to 10% of the sources AI-powered search uses to generate answers. Forrester says 94% of B2B buyers now use AI in purchasing. That means visibility is no longer determined only by where your site ranks. It is also determined by whether your brand is present across the broader ecosystem answer engines trust. (McKinsey & Company) This is the key strategic shift. Traditional search rewarded pages built around keyword clusters and link authority. Answer engines reward brands that can support a synthesized response: clear definitions, direct answers, supporting evidence, strong entity signals, and corroboration from third-party sources. That is why SEO by itself can leave a brand technically visible but strategically absent. A company may still rank well in Google and still lose mindshare if AI-generated answers summarize the category without naming, citing, or recommending it. (McKinsey & Compan...
Brands Shift Marketing Strategies Toward Algorithms
Brands increasingly optimize for algorithmic interfaces rather than human attention, creating structural changes in work and business models. Boston University law professor James Bessen popularized the complementarity framing with ATMs, arguing technology often augments rather than replaces workers. A more recent critique from VC David Oks argues the iPhone and screen-first experiences ...
How Brands Win with GEO AI in Answer Engines and LLM Search
The brands that don't appear? They're invisible in a channel that's growing faster than any social platform in history. This is the new frontier of Generative Engine Optimization — and understanding what GEO means for AI search and how to become a trusted source is the single most important strategic move a brand can make in 2025.
How is AI Changing Ecommerce? The Personal Shopper
Key Takeaways: How is AI Changing Ecommerce Understanding the shift toward agentic commerce is essential for modern brands looking to stay competitive. The following points highlight the most critical changes in consumer behavior and search visibility. Keep these core concepts in mind as you adapt your digital storefront for the AI era.
