New Data Shows Just How Badly OpenAI And Perplexity Are Screwing Over Publishers

Full Article
New Data Shows Just How Badly OpenAI And Perplexity Are Screwing Over Publishers

AI companies like OpenAI and Perplexity have claimed their search engines would boost referral traffic to publishers. However, recent data indicates that these AI search engines deliver 96% less traffic compared to traditional Google searches. The report highlights a significant increase in web scraping activities by AI developers, raising concerns among publishers about their content being exploited without proper attribution.

The findings suggest a troubling trend where AI tools are not only failing to support publishers but are also infringing on their intellectual property. Legal actions have been initiated against these AI companies, reflecting the growing frustration within the publishing industry. As AI continues to evolve, the need for new economic models and licensing agreements becomes increasingly critical to protect publishers' interests.

• AI search engines send 96% less referral traffic than Google.

• Publishers are taking legal action against AI companies for content scraping.

Key AI Terms Mentioned in this Article

Web Scraping

Web scraping refers to the automated extraction of data from websites, which is a significant concern for publishers.

Referral Traffic

Referral traffic is the visitors directed to a website from another source, which has drastically decreased for publishers using AI search engines.

AI Chatbots

AI chatbots are virtual agents that interact with users, predicted to reduce traditional search engine traffic significantly.

Companies Mentioned in this Article

OpenAI

OpenAI develops AI technologies that scrape web content, impacting publishers' traffic and revenue.

Perplexity

Perplexity is an AI search startup that has faced legal challenges for allegedly scraping and republishing content without proper attribution.

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