How AI Search Changes Brand Discovery in 2026
119Recent studies show that AI-powered search results are reshaping how people find brands online. In March 2025, a large analysis revealed that when users saw AI-generated summaries, they clicked on traditional links much less often. Nearly twice as many users skipped clicking altogether if they saw a summary. This shift highlights a new challenge for brands trying to stand out in search results.
Declining Clicks Despite Growing Searches
Search activity is increasing, but engagement with actual links is dropping sharply. BrightEdge’s data from May 2025 showed that Google impressions rose by nearly half after AI Overviews were introduced. However, click-through rates (CTR) on these links fell by almost 30%. A deeper study from September 2025 tracked millions of impressions and found even steeper declines for queries triggering AI summaries. Organic CTR dropped by 61%, and paid CTR decreased by over two-thirds.
By early 2025, about one in five Google searches was producing an AI summary. While overall search volume might be falling slightly, the number of impressions keeps climbing. The main change is that users are engaging less with traditional links and more with the answer itself. This means brands need to rethink how they appear in search, especially as being mentioned in the answer becomes more valuable than just ranking highly.
Understanding AEO and GEO Strategies
To succeed in this new environment, brands need to focus on two key approaches: Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO). AEO is all about making content easy for AI to find and present as a quick, clear answer. This includes using question-based headings, concise answer paragraphs, and structured data like FAQs and HowTo schemas. When a user asks a specific question, content optimized this way can be featured in snippets, voice results, or other quick-answer formats.
GEO goes beyond the snippets. It aims to build a brand’s authority for AI systems that synthesize answers from multiple sources. This involves creating content that covers related topics deeply, using semantic clusters, rich media, and building trust through mentions in third-party sites and directories. The goal is to be a trusted source that AI can rely on when generating answers from different platforms.
Many brands focus only on getting featured snippets but miss the broader opportunity. They can win the snippet and still lack the comprehensive authority needed for GAI platforms. Combining both strategies can help brands stay visible as AI search continues to evolve and dominate the discovery process.
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