{"id":7209,"date":"2025-10-15T13:47:20","date_gmt":"2025-10-15T13:47:20","guid":{"rendered":"https:\/\/smart-team.io\/microsoft-optimizar-contenido-busquedas-ia\/"},"modified":"2025-10-15T14:43:03","modified_gmt":"2025-10-15T14:43:03","slug":"microsoft-optimize-content-ai-powered-search","status":"publish","type":"post","link":"https:\/\/smart-team.io\/en\/microsoft-optimize-content-ai-powered-search\/","title":{"rendered":"Microsoft explains how to optimize content to improve visibility in AI-powered search"},"content":{"rendered":"

Microsoft explains how to optimize content to improve visibility in AI-powered search<\/strong><\/h3>\n

For a brief moment, some of us\u2014perhaps naively\u2014believed that the arrival of AI in the search business would encourage an improvement in the literary quality of the content we read online every day. It\u2019s still too early to give up hope entirely, but signs are emerging that suggest the trend might actually move in the opposite direction.<\/p>\n

The rise of LLMs is causing panic across the publishing industry, and that panic extends in many directions. One of the activities being directly affected is web content creation\u2014and consequently, all professionals involved in SEO in one way or another.<\/p>\n

Recently, Microsoft shared recommendations for those who want to optimize their content to be eligible for inclusion among AI-generated answers<\/a>. Specifically, it has released guidelines on how to structure content to increase the chances of being selected as a source for AI-generated answers in platforms powered by Bing. We can also assume that these recommendations apply broadly to other platforms and models.<\/p>\n

Key aspects to consider<\/strong><\/h2>\n

Most of the guidance published by Microsoft reinforces well-established SEO practices. For example, the use of structured formatting and the correct implementation of schema<\/strong> markup\u2014a tagging language added to a webpage\u2019s HTML code to help search engines better understand its content.<\/p>\n

Microsoft places special emphasis on how content is selected to feed AI-generated answers, pointing out that structure, clarity, and citability<\/em> are key factors. In traditional search, visibility meant appearing in a list of links. In AI-powered search, rankings still exist\u2014but the focus has shifted away from entire pages toward identifying which specific fragments of content can earn a place in the final answers.<\/p>\n

LLMs break webpages down into manageable chunks, assess their authority and relevance, and then build responses by combining information from multiple sources<\/a>. Fundamentals like crawlability, metadata, internal links, and external links remain important, but mainly as starting points in the overall process. The final selection increasingly depends on how clearly structured and easy to interpret each section of a page is.<\/p>\n

Good and bad practices according to Microsoft<\/strong><\/h2>\n

The core message is that \u201cgood structure\u201d favors content citability<\/strong>. Below are some of Microsoft\u2019s key recommendations\u2014what\u2019s worth doing and what to avoid:<\/p>\n