Aravind Srinivas pursues the question: Is Perplexity capable of outperforming Google?
In the realm of search engines, Perplexity AI is making waves by offering a fresh approach that prioritises direct, conversational answers over traditional "10 blue links" search results. This innovative platform combines large language models with real-time web searches to deliver synthesised, research-grade information directly to users, accompanied by transparent, real-time citations from credible sources [1][2].
Perplexity's conversational interface understands context and allows users to ask follow-up questions seamlessly, mimicking natural human dialogue. It features a "Sources" tab that lists the top citations used, a "Steps" tab showing how the AI constructed its answer, and a "Related" section that provides clickable related questions to dive deeper into topics. The platform also boasts multi-modal capabilities, handling voice, text, and image inputs to enrich search interactions [1][3].
Unlike traditional keyword-based searches, Perplexity focuses on natural language queries, understanding full questions and context, which simplifies searching and creates a more fluid, conversational experience [2]. This user-centric approach drives innovation in natural language processing for Perplexity.
While Google's advertising model has been a brilliant business innovation, creating a self-sustaining ecosystem through a sophisticated bidding system for keywords, it has made it difficult for the tech giant to pivot to new approaches that might cannibalise their existing revenue streams [3]. This opening is where Perplexity finds its opportunity.
The Perplexity browser extension leverages Google's constraints to its advantage, prioritising user experience details such as latency optimisation and intuitive interface design. It draws inspiration from Google's early days, aiming to deliver a speedy and seamless user experience, with the search bar response and automatic scrolling behaviour being crucial aspects of its performance focus.
Recognising the exponential improvement of AI technology, Perplexity AI has made a bold decision to completely rethink search engines, focusing on direct answers rather than trying to build a better version of Google. This approach enables increasingly accurate responses, setting Perplexity apart from classic search engines like Google.
In response to Google's reliance on its advertising model, Perplexity is exploring alternative business models, including subscription-based services, similar to Netflix's hybrid approach. By doing so, Perplexity aims to provide a more user-centric search experience while maintaining financial sustainability.
References: [1] Perplexity AI. (2022). Perplexity AI: The Future of Search. Retrieved from https://perplexity.ai/ [2] Perplexity AI. (2022). How Perplexity AI Revolutionises Search. Retrieved from https://perplexity.ai/blog/revolutionising-search/ [3] Chafkin, S. (2018). The Winner Takes All: Google's Fight for Its Life. Retrieved from https://www.bloomberg.com/news/features/2018-05-11/the-winner-takes-all-googles-fight-for-its-life
Perplexity AI, in its innovative approach, integrates artificial-intelligence technologies to deliver context-aware, conversational search results [2]. Differentiating itself from traditional search engines like Google, Perplexity focuses on direct answers, fueled by the exponential growth of artificial-intelligence technology [1].
