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Just a few months ago, Google’s new Search Generative Experience (SGE) experiment officially entered more than 120 new countries and, according to a new report, is set to power 84% of query results—marking yet another pivotal moment in the evolution of search.
While chatbots and generative AI have been the media-facing darlings for quite some time, it’s the growing impact that SGE is having on search behavior that will now be felt far and wide, fundamentally reshaping how we interact with search engines and discover information online.
That said, it’s important to note that this new era isn’t just about getting answers faster; it’s about forging a dynamic dialogue with search engines, rooted in even higher levels of relevancy and personalization. This is a step toward a one-to-one conversation. For brands, this presents both new challenges and opportunities for findability.
While it’s not entirely certain at present what the true impact of SGE will be, it’s moving quickly, and brands that stay ahead by defining adaptive strategies will be better positioned in the long run. For those unsure where to begin, here are three important considerations when building an updated search strategy that considers the future with SGE.
Master the art of conversation
To harness its full potential, teams building content strategies must see SGE for what it is: not a search engine but a chatbot—or more specifically, a conversational snapshot of what the Google engine surfaces from its large language model (LLM).
Remember, Google is more than just a search engine; it’s an unfiltered database of human intentions. Gone are the days of keyword cramming—the future now belongs to content that anticipates user intent and proactively addresses needs. To achieve this, brands need to understand their target audience thoroughly—pain points, needs, consumption habits, etc. Only then can content move beyond informative to become proactive, conversational and insightful (and maybe even a little witty) to meet and exceed modern user expectations.
Brands now engage not only with humans seeking answers to specific questions but with an LLM resembling a discerning editor critiquing an article. This requires meticulous content scrutiny and identifying areas for improvement, such as confusing language, missing context or lack of follow-up information.
