Search engines have forever changed the way we access information. Initially, they provided simple keyword matching based on queries. However, as the digital landscape has grown more complex, so have our search needs. We now crave intuitive and context-aware engines that can deliver personalized results. Traditional engines, primarily Google, have set a high bar but are not without drawbacks. Let's explore just what these limitations are.
Google has long been synonymous with search. It handles
5.9 million searches per minute, leaving a hefty mark on our digital interactions. However, as detailed in
McKinsey's AI Report, repetitive exposure to sponsored content leads many to feel bombarded and manipulated, questioning the objectivity of their search results.
What's AI search all about? Unlike traditional search, AI search engines leverage machine learning, natural language processing, and data analytics to provide users with highly-relevant and nuanced results. This is where
Perplexity shines.
These features position Perplexity at the forefront of AI search technology, making the inherent limitations of Google even more glaring.