Perplexity CEO Aravind Srinivas predicts a future where search engines are both smarter and more efficient. Speaking at TechCrunch Disrupt 2024 recently, Srinivas discussed Perplexity’s mission, AI’s role in transforming search and how his company is positioned to disrupt the current search market dominated by traditional engines like Google.
Srinivas noted that Perplexity is striving to reimagine the way people interact with information online, offering a platform focused on providing clear answers instead of a long list of links.
“Google is fundamentally a link-based search engine,” Srinivas stated, adding that while Google’s revenue is driven by showing as many links as possible, Perplexity aims to provide direct answers, allowing users to ask questions more naturally. “In Perplexity, the median number of words in a query is around 10, which shows people feel they can ask complex questions,” he said, contrasting this with Google’s shorter keyword-based searches.
One of Perplexity’s unique features is its citation and referencing system. From its inception, the company has prioritized transparency by citing sources for each answer it provides, something Srinivas sees as critical in maintaining the platform’s credibility.
“We launched in December 2022, and from the beginning, we cared about references and citations,” he explained. He also said that Perplexity was one of the few AI products to prioritize this from day one. He further clarified that while Perplexity pulls information from various sources, it ensures that no direct text is copied without attribution, saying: “Our models are instructed to summarize different perspectives without reproducing content from a single source.”
In addition to restructuring the traditional search experience, Perplexity is working on monetizing its platform responsibly. The company has launched a publisher program that shares ad revenue with content creators whose information is used in Perplexity’s answers.
“What we’re saying is that if we gain advertising revenue from a particular query where your source was cited, we’ll share that revenue with you,” Srinivas explained. This seeks to create a sustainable business model that benefits both the search engine and content creators, marking a departure from the typical search engine model.
Perplexity’s AI-native platform is also expanding beyond traditional search queries, exploring niche verticals to serve a wider audience. Srinivas mentioned that sports and finance are popular areas where users frequently look for real-time information.
“We want Perplexity to be a place where you can come and ask anything,” he shared, before adding that his team constantly analyzes user data to understand which features to prioritize. By focusing on specific use cases that involve complex information, Perplexity hopes to become a go-to platform for knowledge-seekers beyond simple fact-checking.
With the global demand for AI technology growing, Srinivas is optimistic about the future. He acknowledged that, while Perplexity is still in the early stages of monetization, there’s a wealth of potential as the company finds new ways to leverage its capabilities.
“AI is expensive,” he admitted, referring to the high costs associated with GPUs and data centers. However, he is encouraged by recent trends that indicate a steady decline in these costs. “If this trend continues, we could see a significant reduction in model costs over the next few years, which will only accelerate our growth.”
In closing, Srinivas stressed Perplexity’s mission to serve as a transformative platform, distinct from conventional search engines.
“If this is supposed to be the future, we have to earn it,” he said. This, clearly, expresses confidence in the company’s direction and commitment to revolutionizing how people access and interpret information on the web.
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