Search is changing faster than ever – and 2026 may be the year it fully breaks from the past.
Over the last year, AI has reshaped how people discover, decide, and convert, collapsing the traditional customer journey and cutting touchpoints in half.
AI-powered assistants and large language models (LLMs) will handle roughly 25% of global search queries by 2026, per Gatner, replacing many traditional search interactions.
We’re already seeing the effects. Traffic from LLMs is climbing at a hockey-stick pace, signaling a massive shift in how users find information.
To stay competitive, marketers need to build strong content and experience flywheels, as answer engine optimization (AEO) and generative engine optimization (GEO) become critical priorities.
Bruce Clay, founder and president of Bruce Clay Inc., predicted:
- “AI-powered search is expected to cause traffic to continue to drop for many sites, creating a disturbance in the force.”
Adopting AI isn’t optional – it’s foundational.
Yet most marketing systems weren’t designed to operate in an AI-first world.
Disconnected tools and data silos make orchestration difficult and create inconsistencies that derail performance.
To succeed in 2026, brands will need integrated, cross-functional, omnichannel systems that connect data, content, and customer experience.
Building a resilient digital presence for 2026
Preparing a brand’s digital presence for an AI-driven world means rethinking data, tools, and customer experiences while presenting a clear, consistent brand story.
The goal is to deliver personalized content and be ready for agentic experiences, where AI assistants act on behalf of users.
This shift begins with the evolution of search itself.
The biggest change is moving away from a simple query-and-response model to a more dynamic, reasoning-driven conversation.
Traditional search was like a game of chess – discrete and predictable. AI search, on the other hand, is more like a jazz concert – continuous and fluid.
The experience has shifted from browsing lists and visiting websites to receiving direct, synthesized answers.
Instead of matching keywords to an index, AI uses query fan-out, which involves:
- Breaking queries into components.
- Analyzing multiple sources.
- Delivering a single, comprehensive answer based on consistent patterns.
With AI, the traditional marketing funnel is shrinking. AI search can move directly from intent to conversion in minutes, dramatically accelerating the process.
We’re already seeing three- to eight-times higher conversion rates from traffic originating in AI search.
According to Crystal Carter, head of AI search and SEO communications at Wix:
- “Traffic from LLMs (like ChatGPT and Perplexity) is becoming increasingly distinct from Google search traffic, requiring separate optimization and analysis strategies.”
New types of intents,…
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