Product-specific content, especially “how-to” guides that incorporate specific use cases, is gaining traction for its effectiveness in SEO and influencing large language models (LLMs). The author points out that while queries like "how to annotate PDFs in Google Drive" may not have direct transactional intent, they still guide LLMs to suggest relevant tools. By providing clear, detailed information about what a product can do, brands can improve their visibility in LLM outputs. This approach should focus on the main jobs-to-be-done (JTBD) for the ideal customer profile (ICP) and create comprehensive guides to address those needs. The author emphasizes the importance of producing original content that educates users while naturally integrating product mentions. This strategy not only enhances visibility but also aligns with user intent. The mention of Ahrefs illustrates a successful model, showcasing how extensive, useful content—complete with screenshots and walkthroughs—can establish authority in a niche. The conversation further touches on collaboration opportunities for enhancing content with competitive insights, suggesting a proactive approach to content creation and SEO. Overall, the discussion highlights a shift toward LLMs as discovery tools, making it essential for brands to feed them precise product knowledge through well-structured content. This is not just about promoting a product; it’s about genuinely helping potential customers understand how it can solve their problems.