Creating FAQ content is becoming a popular tactic among SEOs aiming to optimize for large language models (LLMs). FAQs condense information effectively, often achieving high cosine similarity with search queries. Research by Chris Green showed that FAQ content generally ranks highest in similarity across various content types, suggesting AI engines may favor these sections for understanding content quickly. To generate FAQs at scale, the article highlights using Screaming Frog, which integrates with the OpenAI API. Users can configure Screaming Frog to crawl their sites, extract page content, and generate FAQs using a specific prompt in the OpenAI model. This process can yield a large number of FAQs quickly; for instance, one crawl produced over 150 FAQs in five minutes. The FAQs serve as a summary that presents information in an easily digestible format, which can enhance user experience. However, the article emphasizes that AI-generated content should always be human-reviewed before use. The effectiveness of this approach varies with page length and content type; longer pages tend to yield better results. FAQs are particularly valuable for guides and feature pages, offering users straightforward answers to common questions. While there are limitations, the potential for efficient content creation makes this method appealing for many SEOs.