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We’re shifting from the chaos of the open web to the centralization of information Then we explore what enterprise organizations should be doing now to prepare for the future of search, from building integrated experiences and trust to delivering meaningful brand utility. It’s like the totalitarianism of search—one answer, one authority, controlled by algorithms we can’t see.
Google and alphabet’s ceo sundar pichai sat down for a discussion on ai that inevitably focused on the future of search We critique the latest fad of generative engine optimization and the pitfalls of chasing algorithms He explained his view of search and the role of websites ten years.
Research shows that the value of llm search traffic could overtake google by 2028
Find out what this means, how to prepare, and more in this report. We are at a new inflection point The biggest change to the way search engines have delivered information to us since the 1990s is happening right now The search landscape is undergoing seismic shifts, with ai, decentralization, and the promise of agi dramatically changing the rules of the game
For search practitioners and leaders, now is the time to adapt Embrace the changes, prepare your teams, and invest in the technologies that will keep you ahead of the curve By 2026, the groundwork you lay today will determine how well you thrive in. What does the future of search look like
In a recent interview with search engine journal, google ceo sundar pichai shared his vision for the future of search, shedding light on the profound changes we can expect in the coming years
As technology evolves, so does the way we interact with information. As ai becomes more sophisticated at providing instant responses, it raises important questions about the future of search engine optimisation (seo) and online content visibility. The future of search isn’t a battle of one versus the other, but a synthesis of both Magellan expect features and use cases to emerge that improve the experience for informational, navigational, commercial and deep research needs, as well as the emergence of agentic ai 2 use cases.
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