How to get into Perplexity AI answers and why this AI model doesn't use all the text from cited pages

The author conducted a large-scale study on how Perplexity AI utilizes information from web pages to generate answers. By analyzing 60 responses and 1355 citations, the researcher found that the model rarely uses the entire page content. On average, only one self-contained paragraph is included in the response, accounting for about 6.4% of the page's text. The study demonstrates that to optimize content for Perplexity, it is crucial to create structured, logically complete text fragments rather than relying on the volume of the entire article. The author details the experimental methodology, including HTML structure analysis and API usage, while providing recommendations for adapting content for AI search systems. This material is useful for SEO specialists and content creators aiming to increase the citation rate of their resources in modern generative models.